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Kong YY, Shu WJ, Wang S, Yin ZH, Duan H, Li K, Du HN. The methyltransferase SETD3 regulates mRNA alternative splicing through interacting with hnRNPK. CELL INSIGHT 2024; 3:100198. [PMID: 39391005 PMCID: PMC11462206 DOI: 10.1016/j.cellin.2024.100198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 08/18/2024] [Accepted: 08/18/2024] [Indexed: 10/12/2024]
Abstract
The methyltransferase SETD3 is an enzyme essential for catalyzing histidine-73 methylation on β-Actin, thereby promoting its polymerization and regulating muscle contraction. Although increasing evidence suggests that SETD3 is involved in multiple physiological or pathological events, its biological functions remain incompletely understood. In this study, we utilize in situ proximity labeling combined with mass spectrometry analysis to detect potential interacting partners of SETD3. Unexpectedly, we find that many splicing factors are associated with SETD3. Genome-wide RNA sequencing reveals that SETD3 regulates pre-mRNA splicing events, predominantly influencing exon skipping. Biochemical and bioinformatic analyses suggest that SETD3 interacts with hnRNPK, and they collaboratively regulate exon skipping in a common subset of genes. Functionally, we demonstrate that SETD3 and hnRNPK are required for retention of exon 7 skipping in the FNIP1 gene. This promotes FNIP1-mediated nuclear translocation of the transcription factor TFEB and the subsequent induction of lysosomal and mitochondrial biogenesis. Overall, this study uncovers a novel function of SETD3 in modulating mRNA exon splicing.
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Affiliation(s)
- Yue-Yu Kong
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, TaiKang Center for Life and Medical Sciences, Frontier Science Center for Immunology and Metabolism, RNA Institute, Wuhan University, Wuhan, 430072, China
| | - Wen-Jie Shu
- School of Basic Medical Sciences, Xi'an JiaoTong University, Xi'an, 710049, China
| | - Shuang Wang
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, TaiKang Center for Life and Medical Sciences, Frontier Science Center for Immunology and Metabolism, RNA Institute, Wuhan University, Wuhan, 430072, China
| | - Zhao-Hong Yin
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, TaiKang Center for Life and Medical Sciences, Frontier Science Center for Immunology and Metabolism, RNA Institute, Wuhan University, Wuhan, 430072, China
| | - Hongguo Duan
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, TaiKang Center for Life and Medical Sciences, Frontier Science Center for Immunology and Metabolism, RNA Institute, Wuhan University, Wuhan, 430072, China
| | - Ke Li
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, TaiKang Center for Life and Medical Sciences, Frontier Science Center for Immunology and Metabolism, RNA Institute, Wuhan University, Wuhan, 430072, China
| | - Hai-Ning Du
- Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, TaiKang Center for Life and Medical Sciences, Frontier Science Center for Immunology and Metabolism, RNA Institute, Wuhan University, Wuhan, 430072, China
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2
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Xu W, Xu Y, Sun R, Rey Redondo E, Leung KK, Wan SH, Li J, Yung CCM. Revealing the intricate temporal dynamics and adaptive responses of prokaryotic and eukaryotic microbes in the coastal South China Sea. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 952:176019. [PMID: 39236827 DOI: 10.1016/j.scitotenv.2024.176019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 08/15/2024] [Accepted: 09/02/2024] [Indexed: 09/07/2024]
Abstract
This comprehensive two-year investigation in the coastal South China Sea has advanced our understanding of marine microbes at both community and genomic levels. By combining metagenomics and metatranscriptomics, we have revealed the intricate temporal dynamics and remarkable adaptability of microbial communities and phytoplankton metagenome-assembled genomes (MAGs) in response to environmental fluctuations. We observed distinct seasonal shifts in microbial community composition and function: cyanobacteria were predominant during warmer months, whereas photosynthetic protists were more abundant during colder seasons. Notably, metabolic marker KOs of photosynthesis were consistently active throughout the year, underscoring the persistent role of these processes irrespective of seasonal changes. Our analysis reveals that environmental parameters such as temperature, salinity, and nitrate concentrations profoundly influence microbial community composition, while temperature and silicate have emerged as crucial factors shaping their functional traits. Through the recovery and analysis of 37 phytoplankton MAGs, encompassing nine prokaryotic cyanobacteria and 28 eukaryotic protists from diverse phyla, we have gained insights into their genetic diversity and metabolic capabilities. Distinct profiles of photosynthesis-related pathways including carbon fixation, carotenoid biosynthesis, photosynthesis-antenna proteins, and photosynthesis among the MAGs indicated their genetic adaptations to changing environmental conditions. This study not only enhances our understanding of microbial dynamics in coastal marine ecosystems but also sheds light on the ecological roles and adaptive responses of different microbial groups to environmental changes.
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Affiliation(s)
- Wenqian Xu
- Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Yangbing Xu
- Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Ruixian Sun
- Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Elvira Rey Redondo
- Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Ka Kiu Leung
- Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Siu Hei Wan
- Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Jiying Li
- Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Charmaine C M Yung
- Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China.
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3
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Chen S, Shang Y, Zheng J, Huo F, Xue Y, Zhao L, Jiang G, Chu N, Huang H. In vitro monitoring of drug resistance emergence during stepwise induction of bedaquiline and clofazimine, alone and in combination: a phenotypic and genotypic analysis. J Antimicrob Chemother 2024:dkae405. [PMID: 39523472 DOI: 10.1093/jac/dkae405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 10/23/2024] [Indexed: 11/16/2024] Open
Abstract
OBJECTIVES The co-resistance between bedaquiline and clofazimine raises significant concerns, as they are commonly co-administered as core drugs in drug-resistant TB regimens. The present study aimed to monitor drug resistance-associated gene mutations and the phenotypic change in Mycobacterium tuberculosis (Mtb) under a stepwise drug resistance induction in vitro using bedaquiline, clofazimine or combined drugs. METHODS Drug-resistant Mtb strains were gradually induced in vitro on a drug-containing solid medium with a 2-fold increasing concentration of bedaquiline, clofazimine and their combination. The MIC of the induced drug-resistant Mtb strains was determined. The drug resistance-associated genes, including Rv0678, Rv1979c, atpE and pepQ, were sequenced and analysed. RESULTS Unlike exposure to bedaquiline alone or the combination of these two drugs, clofazimine alone resulted in drug resistance gene mutations occurring later, specifically in the fourth round of induction as opposed to the second round of induction. Besides, nucleotide deletion or insertion in Rv0678 was the main mutation type for induction under the two-drug combination, while single-nucleotide polymorphisms (SNPs) in Rv0678 were the major mutation types when induced by bedaquiline or clofazimine alone. Rv0678 mutation happened at a relatively lower bedaquiline concentration exposure alone, while atpE mutation occurred at a higher bedaquiline concentration. Regardless of the drug exposure manner, a strong correlation between bedaquiline MICs and clofazimine MICs was observed in all drug resistance strains. CONCLUSIONS Combined exposure to bedaquiline and clofazimine developed Rv0678 mutation as early as exposure to bedaquiline alone. However, rather than SNPs, deletion and insertion were the dominant mutation types in dual-drug exposure strain.
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Affiliation(s)
- Suting Chen
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yuanyuan Shang
- Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Jifang Zheng
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Fengmin Huo
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yi Xue
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Liping Zhao
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Guanglu Jiang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Naihui Chu
- Tuberculosis Department, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Hairong Huang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
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4
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Bao Y, Bai X, Bu C, Chen H, Chen H, Chen K, Chen M, Chen M, Chen M, Chen P, Chen Q, Chen Q, Chen R, Chen T, Chen T, Chen X, Cheng W, Cui Y, Ding M, Dong L, Duan G, Fan Z, Fang L, Feng Z, Fu S, Gao F, Gao G, Gao H, Gao S, Gao X, Gong J, Gou Y, Guo A, Guo G, Han C, Han F, Han Z, He S, Huang D, Huang J, Huang X, Jiang H, Jiang J, Jiang S, Jiang S, Jiang T, Jin E, Jin W, Kan H, Kang Z, Kong D, Lei M, Li C, Li C, Li H, Li J, Li J, Li L, Li L, Li Q, Li R, Li X, Li X, Li Y, Li Y, Li Z, Liang C, Ling Y, Liu B, Liu C, Liu D, Liu F, Liu G, Liu H, Liu L, Liu L, Liu M, Liu W, Liu W, Liu Y, Liu Y, Lu X, Luo H, Luo M, Luo X, Luo Z, Ma J, Ma L, Ma S, Ma Y, Mai J, Meng J, Meng X, Meng Y, Miao Y, Miao Z, Nie Z, Niu X, Pei B, Peng D, Peng J, Qi J, Qi Y, Qian Q, Qiao Q, Qu J, Ren J, Sang Z, Shang Y, Shen W, Shen Y, Shi H, Shi M, Shi W, Song B, Song S, Sun J, Sun Y, Sun Y, Tang B, Tang D, Tang Q, Tian D, Tian Z, Wang A, Wang F, Wang F, Wang G, Wang J, Wang L, Wang M, Wang S, Wang S, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wei Y, Wei Z, Wu D, Wu S, Wu W, Wu X, Wu Z, Xiao J, Xiao L, Xiao Y, Xie GY, Xie G, Xie Y, Xiong Z, Xu C, Xu L, Xu P, Xu T, Xue R, Xue Y, Yang C, Yang D, Yang F, Yang J, Yang J, Yang K, Yang L, Yang X, Yang Y, Ye H, Yu C, Yuan C, Yuan H, Yuan L, Yuan Y, Yue J, Zhai S, Zhang C, Zhang D, Zhang G, Zhang J, Zhang M, Zhang Q, Zhang S, Zhang S, Zhang S, Zhang W, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang YE, Zhang Y, Zhang Y, Zhang Z, Zhao F, Zhao G, Zhao J, Zhao M, Zhao W, Zhao W, Zhao X, Zhao Y, Zhao Z, Zheng X, Zheng X, Zhou B, Zhou C, Zhou H, Zhou X, Zhou Y, Zhu J, Zhu R, Zhu T, Zhu Y, Zhuang X, Zong W, Zou D, Zuo C, Zuo Z. Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025. Nucleic Acids Res 2024:gkae978. [PMID: 39530327 DOI: 10.1093/nar/gkae978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Revised: 10/10/2024] [Accepted: 10/16/2024] [Indexed: 11/16/2024] Open
Abstract
The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), offers a comprehensive suite of database resources to support the global scientific community. Amidst the unprecedented accumulation of multi-omics data, CNCB-NGDC is committed to continually evolving and updating its core database resources through big data archiving, integrative analysis and value-added curation. Over the past year, CNCB-NGDC has expanded its collaborations with international databases and established new subcenters focusing on biodiversity, traditional Chinese medicine and tumor genetics. Substantial efforts have been made toward encompassing a broad spectrum of multi-omics data, developing innovative resources and enhancing existing resources. Notably, new resources have been developed for single-cell omics (scTWAS Atlas), genome and variation (VDGE), health and disease (CVD Atlas, CPMKG, Immunosenescence Inventory, HemAtlas, Cyclicpepedia, IDeAS), biodiversity and biosynthesis (RefMetaPlant, MASH-Ocean) and research tools (CCLHunter). All resources and services are publicly accessible at https://ngdc.cncb.ac.cn.
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Beck D, Cao H, Tian F, Huang Y, Jiang M, Zhao H, Tai X, Xu W, Kosasih HJ, Kealy DJ, Zhao W, Taylor SJ, Couttas TA, Song G, Chacon-Fajardo D, Walia Y, Wang M, Dowle AA, Holding AN, Bridge KS, Zhang C, Wang J, Mi JQ, Lock RB, de Bock CE, Jing D. PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia. Nat Commun 2024; 15:9697. [PMID: 39516193 PMCID: PMC11549222 DOI: 10.1038/s41467-024-54096-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024] Open
Abstract
The epigenetic landscape plays a critical role in cancer progression, yet its therapeutic potential remains underexplored. Glucocorticoids are essential components of treatments for lymphoid cancers, but resistance, driven in part by epigenetic changes at glucocorticoid-response elements, poses a major challenge to effective therapies. Here we show that glucocorticoid treatment induces distinct patterns of chromosomal organization in glucocorticoid-sensitive and resistant acute lymphoblastic leukemia xenograft models. These glucocorticoid-response elements are primed by the pioneer transcription factor PU.1, which interacts with the glucocorticoid receptor. Eviction of PU.1 promotes receptor binding, increasing the expression of genes involved in apoptosis and facilitating a stronger therapeutic response. Treatment with a PU.1 inhibitor enhances glucocorticoid sensitivity, demonstrating the clinical potential of targeting this pathway. This study uncovers a mechanism involving PU.1 and the glucocorticoid receptor, linking transcription factor activity with drug response, and suggesting potential therapeutic strategies for overcoming resistance.
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Affiliation(s)
- Dominik Beck
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Centre for Health Technologies and the School of Biomedical Engineering, University of Technology, Sydney, NSW, Australia.
| | - Honghui Cao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Tian
- Hebei Key Laboratory of Medical Data Science, Institute of Biomedical Informatics, School of Medicine, Hebei University of Engineering, Handan, Hebei Province, China
| | - Yizhou Huang
- Children's Cancer Institute, Lowy Cancer Research Centre, School of Clinical Medicine, UNSW Medicine & Health, UNSW Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
| | - Miao Jiang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Han Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaolu Tai
- Department of Orthopedics and Precision Research Center for Refractory Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenqian Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hansen J Kosasih
- Children's Cancer Institute, Lowy Cancer Research Centre, School of Clinical Medicine, UNSW Medicine & Health, UNSW Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
| | - David J Kealy
- Centre for Blood Research, University of York, England, UK
| | - Weiye Zhao
- York Biomedical Research Institute, University of York, England, UK
| | - Samuel J Taylor
- Department of Cell Biology, Albert Einstein College of Medicine, Randwick, NY, USA
| | - Timothy A Couttas
- Neuroscience Research Australia, Randwick, NSW, Australia
- Brain and Mind Centre, Translational Research Collective, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Gaoxian Song
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Diego Chacon-Fajardo
- Centre for Health Technologies and the School of Biomedical Engineering, University of Technology, Sydney, NSW, Australia
| | - Yashna Walia
- Children's Cancer Institute, Lowy Cancer Research Centre, School of Clinical Medicine, UNSW Medicine & Health, UNSW Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
| | - Meng Wang
- Department of Orthopedics and Precision Research Center for Refractory Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Adam A Dowle
- Metabolomics & Proteomics Laboratory, Bioscience Technology Facility, Department of Biology, University of York, England, UK
| | - Andrew N Holding
- York Biomedical Research Institute, University of York, England, UK
| | | | - Chao Zhang
- Department of Orthopedics and Precision Research Center for Refractory Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jin Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian-Qing Mi
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Richard B Lock
- Children's Cancer Institute, Lowy Cancer Research Centre, School of Clinical Medicine, UNSW Medicine & Health, UNSW Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia.
| | - Charles E de Bock
- Children's Cancer Institute, Lowy Cancer Research Centre, School of Clinical Medicine, UNSW Medicine & Health, UNSW Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia.
| | - Duohui Jing
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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6
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Gong M, Li J, Qin Z, Machado Bressan Wilke MV, Liu Y, Li Q, Liu H, Liang C, Morales-Rosado JA, Cohen ASA, Hughes SS, Sullivan BR, Waddell V, van den Boogaard MJH, van Jaarsveld RH, van Binsbergen E, van Gassen KL, Wang T, Hiatt SM, Amaral MD, Kelley WV, Zhao J, Feng W, Ren C, Yu Y, Boczek NJ, Ferber MJ, Lahner C, Elliott S, Ruan Y, Mignot C, Keren B, Xie H, Wang X, Popp B, Zweier C, Piard J, Coubes C, Mau-Them FT, Safraou H, Innes AM, Gauthier J, Michaud JL, Koboldt DC, Sylvie O, Willems M, Tan WH, Cogne B, Rieubland C, Braun D, McLean SD, Platzer K, Zacher P, Oppermann H, Evenepoel L, Blanc P, El Khattabi L, Haque N, Dsouza NR, Zimmermann MT, Urrutia R, Klee EW, Shen Y, Du H, Rappaport L, Liu CM, Chen X. MARK2 variants cause autism spectrum disorder via the downregulation of WNT/β-catenin signaling pathway. Am J Hum Genet 2024; 111:2392-2410. [PMID: 39419027 DOI: 10.1016/j.ajhg.2024.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 09/19/2024] [Accepted: 09/25/2024] [Indexed: 10/19/2024] Open
Abstract
Microtubule affinity-regulating kinase 2 (MARK2) contributes to establishing neuronal polarity and developing dendritic spines. Although large-scale sequencing studies have associated MARK2 variants with autism spectrum disorder (ASD), the clinical features and variant spectrum in affected individuals with MARK2 variants, early developmental phenotypes in mutant human neurons, and the pathogenic mechanism underlying effects on neuronal development have remained unclear. Here, we report 31 individuals with MARK2 variants and presenting with ASD, other neurodevelopmental disorders, and distinctive facial features. Loss-of-function (LoF) variants predominate (81%) in affected individuals, while computational analysis and in vitro expression assay of missense variants supported the effect of MARK2 loss. Using proband-derived and CRISPR-engineered isogenic induced pluripotent stem cells (iPSCs), we show that MARK2 loss leads to early neuronal developmental and functional deficits, including anomalous polarity and dis-organization in neural rosettes, as well as imbalanced proliferation and differentiation in neural progenitor cells (NPCs). Mark2+/- mice showed abnormal cortical formation and partition and ASD-like behavior. Through the use of RNA sequencing (RNA-seq) and lithium treatment, we link MARK2 loss to downregulation of the WNT/β-catenin signaling pathway and identify lithium as a potential drug for treating MARK2-associated ASD.
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Affiliation(s)
- Maolei Gong
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China; The Ninth Medical Center of PLA General Hospital, Beijing, China
| | - Jiayi Li
- Department of Medical Genetics, Capital Institute of Pediatrics, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zailong Qin
- Genetic and Metabolic Central Laboratory, Birth Defect Prevention Research Institute, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | | | - Yijun Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Qian Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Haoran Liu
- Department of Medical Genetics, Capital Institute of Pediatrics, Beijing, China
| | - Chen Liang
- Department of Medical Genetics, Capital Institute of Pediatrics, Beijing, China
| | - Joel A Morales-Rosado
- Department of Pathology, Microbiology & Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ana S A Cohen
- Department of Pathology and Laboratory Medicine, Genomic Medicine Center, Children's Mercy-Kansas City, Kansas City, MO, USA; The University of Missouri-Kansas City, School of Medicine, Kansas City, MO, USA
| | - Susan S Hughes
- The University of Missouri-Kansas City, School of Medicine, Kansas City, MO, USA; Division of Clinical Genetics, Children's Mercy Kansas City, Kansas City, MO, USA
| | - Bonnie R Sullivan
- The University of Missouri-Kansas City, School of Medicine, Kansas City, MO, USA; Division of Clinical Genetics, Children's Mercy Kansas City, Kansas City, MO, USA
| | - Valerie Waddell
- Department of Neurology, Children's Mercy Kansas City, Kansas City, MO, USA
| | | | - Richard H van Jaarsveld
- Department of Genetics, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Ellen van Binsbergen
- Department of Genetics, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Koen L van Gassen
- Department of Genetics, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Tianyun Wang
- Department of Medical Genetics, Center for Medical Genetics, School of Basic Medical Sciences, Autism Research Center, Peking University Health Science Center, Beijing, China; Neuroscience Research Institute, Peking University, Key Laboratory for Neuroscience, Ministry of Education of China & National Health Commission of China, Beijing, China
| | - Susan M Hiatt
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | | | - Jianbo Zhao
- Department of Neurology Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Weixing Feng
- Department of Neurology Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Changhong Ren
- Department of Neurology Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Yazhen Yu
- Department of Pediatrics, Beijing Tiantan Hospital affiliated with Capital University of Medical Sciences, Beijing, China
| | - Nicole J Boczek
- Department of Laboratory Medicine and Pathology, Genomics Laboratory, Mayo Clinic, Rochester, MN, USA
| | - Matthew J Ferber
- Department of Laboratory Medicine and Pathology, Genomics Laboratory, Mayo Clinic, Rochester, MN, USA
| | - Carrie Lahner
- Department of Laboratory Medicine and Pathology, Genomics Laboratory, Mayo Clinic, Rochester, MN, USA
| | - Sherr Elliott
- Departments of Neurology and Pediatrics, Institute of Human Genetics and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Yiyan Ruan
- Guangxi Clinical Research Center for Pediatric Diseases, The Maternal and Child Health Care Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Cyril Mignot
- APHP Sorbonne Université, Département de Génétique, Hôpital Pitié-Salpêtrière et Hôpital Trousseau, Centre de Référence Déficiences Intellectuelles de Causes Rares, Paris, France
| | - Boris Keren
- APHP Sorbonne Université, Département de Génétique, Hôpital Pitié-Salpêtrière et Hôpital Trousseau, Centre de Référence Déficiences Intellectuelles de Causes Rares, Paris, France
| | - Hua Xie
- Department of Medical Genetics, Capital Institute of Pediatrics, Beijing, China
| | - Xiaoyan Wang
- Department of Children's Nutrition Research Center, Affiliated Children's Hospital of Capital Institute of Pediatrics, Beijing, China
| | - Bernt Popp
- Institute of Human Genetics, University of Leipzig Hospitals and Clinics, Leipzig, Germany; Berlin Institute of Health at Charité-Universitäts medizin Berlin, Center of Functional Genomics, Hessische Straße 4A, Berlin, Germany
| | - Christiane Zweier
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Juliette Piard
- Centre de Génétique Humaine, Centre Hospitalier Régional Universitaire, Université de Franche-Comté, Besançon, France; UMR 1231 GAD, Inserm, Université de Bourgogne Franche Comté, Dijon, France
| | - Christine Coubes
- Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée Hôpital Arnaud de Villeneuve, 34295 Montpellier Cedex, Dijon, France
| | - Frederic Tran Mau-Them
- UF6254 Innovation en Diagnostic Genomique des Maladies Rares, Dijon, France; Inserm UMR1231 GAD, 21000 Dijon, France
| | - Hana Safraou
- UF6254 Innovation en Diagnostic Genomique des Maladies Rares, Dijon, France; Inserm UMR1231 GAD, 21000 Dijon, France
| | - A Micheil Innes
- Department of Medical Genetics and Pediatrics and Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Julie Gauthier
- Molecular Diagnostic Laboratory, Centre Hospitalier Universitaire Sainte-Justine, Montréal, QC, Canada; Department of Pediatrics, Université de Montréal, Montréal, QC, Canada
| | - Jacques L Michaud
- Department of Pediatrics, Université de Montréal, Montréal, QC, Canada; CHU Sainte-Justine Research Center, Montreal, QC, Canada
| | - Daniel C Koboldt
- The Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Odent Sylvie
- Service de Génétique clinique, CHU Rennes, ERN ITHACA, Rennes, France; University Rennes, CNRS, INSERM, IGDR (Institut de Génétique et développement de Rennes), UMR 6290, ERL U1305, Rennes, France
| | - Marjolaine Willems
- Medical Genetic Department for Rare Diseases and Personalized Medicine, Reference Center AD SOOR, AnDDI-RARE, Inserm U1298, INM, Montpellier University, Centre Hospitalier Universitaire de Montpellier, Montpellier, France
| | - Wen-Hann Tan
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Benjamin Cogne
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | - Claudine Rieubland
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Dominique Braun
- Department of Human Genetics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Scott Douglas McLean
- Division of Clinical Genetics, The Children's Hospital of San Antonio, San Antonio, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Konrad Platzer
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Pia Zacher
- Epilepsy Center Kleinwachau, Dresden-Radeberg, Germany
| | - Henry Oppermann
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Lucie Evenepoel
- Centre de Génétique Humaine, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Avenue Hippocrate 10-1200, Brussels, Belgium
| | - Pierre Blanc
- Sorbonne Université, Department of Medical Genetics, APHP, Pitié-Salpêtrière hospital, Paris Brain Institute-ICM, Laboratoire SeqOIA-PFMG2025, Paris, France
| | - Laïla El Khattabi
- Department of Medical Genetics, APHP, Armand Trousseau and Pitié-Salpêtrière hospitals, Brain Development team, Paris Brain Institute-ICM, Sorbonne Université, Paris, France; Laboratoire SeqOIA-PFMG2025, Paris, France
| | - Neshatul Haque
- Bioinformatics Research and Development Laboratory, Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Nikita R Dsouza
- Bioinformatics Research and Development Laboratory, Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Michael T Zimmermann
- Bioinformatics Research and Development Laboratory, Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA; Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA; Clinical and Translational Sciences Institute, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Raul Urrutia
- Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Eric W Klee
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Yiping Shen
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; SynerGene Education, Hejun College, Huichang Jiangxi, China
| | - Hongzhen Du
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
| | - Leonard Rappaport
- Division of Developmental Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chang-Mei Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China.
| | - Xiaoli Chen
- Department of Medical Genetics, Capital Institute of Pediatrics, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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7
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Dai L, Xie Z, Ai T, Jiao Y, Lian X, Long A, Zhang J, Yang G, Hong D. Zinc finger transcription factors BnaSTOP2s regulate sulfur metabolism and confer Sclerotinia sclerotiorum resistance in Brassica napus. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2024. [PMID: 39503196 DOI: 10.1111/jipb.13801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 09/09/2024] [Accepted: 10/08/2024] [Indexed: 11/08/2024]
Abstract
Rapeseed (Brassica napus L.) exhibits high-sulfur requirements to achieve optimal growth, development, and pathogen resistance. Despite the importance of sulfur, the mechanisms regulating its metabolism and disease resistance are not fully understood. In this study, we found that the zinc finger transcription factors BnaSTOP2s play a pivotal role in sulfur metabolism and Sclerotinia sclerotiorum resistance. Our findings indicate that BnaSTOP2s are involved in sulfur metabolism, as evidenced by extensive protein interaction screening. BnaSTOP2s knockout reduced the content of essential sulfur-containing metabolites, including glucosinolate and glutathione, which is consistent with the significantly lowered transcriptional levels of BnaMYB28s and BnaGTR2s, key factors involved in glucosinolate synthesis and transportation, respectively. Comprehensive RNA-seq analysis revealed the substantial effect of BnaSTOP2s on sulfur metabolism from roots to siliques, which serve as pivotal sources and sinks for sulfur metabolism, respectively. Furthermore, we found that leaf lesion size significantly decreased and increased in the BnaSTOP2-OE and Bnastop2 mutants, respectively, compared with the wild-type during S. sclerotiorum infection, suggesting a vital role of BnaSTOP2s in plant defense response. In conclusion, BnaSTOP2s act as global regulators of sulfur metabolism and confer resistance to S. sclerotiorum infection in B. napus. Thus, they have potential implications for improving crop resilience.
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Affiliation(s)
- Lihong Dai
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhaoqi Xie
- Lushan Botanical Garden, Chinese Academy of Sciences, Jiujiang, 332900, China
| | - Tianxu Ai
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yushun Jiao
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xiaoyi Lian
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Angchen Long
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jinyun Zhang
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guangsheng Yang
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Dengfeng Hong
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
- Yazhouwan National Laboratory, Sanya, 572024, China
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8
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Zhang Y, Duan W, Chen L, Chen J, Xu W, Fan Q, Li S, Liu Y, Wang S, He Q, Li X, Huang Y, Peng H, Zhao J, Zhang Q, Qiu Z, Shao Z, Zhang B, Wang Y, Tian Y, Shu Y, Qin Z, Chi Y. Potassium ion channel modulation at cancer-neural interface enhances neuronal excitability in epileptogenic glioblastoma multiforme. Neuron 2024:S0896-6273(24)00737-2. [PMID: 39532103 DOI: 10.1016/j.neuron.2024.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 08/12/2024] [Accepted: 10/15/2024] [Indexed: 11/16/2024]
Abstract
The central nervous system (CNS) is increasingly recognized as a critical modulator in the oncogenesis of glioblastoma multiforme (GBM), with interactions between cancer and local neuronal circuits frequently leading to epilepsy; however, the relative contributions of these factors remain unclear. Here, we report a coordinated intratumor shift among distinct cancer subtypes within progenitor-like families of epileptic GBM patients, revealing an accumulation of oligodendrocyte progenitor (OPC)-like subpopulations at the cancer-neuron interface along with heightened electrical signaling activity in the surrounding neuronal networks. The OPC-like cells associated with epilepsy express KCND2, which encodes the voltage-gated K+ channel KV4.2, enhancing neuronal excitability via accumulation of extracellular K+, as demonstrated in patient-derived ex vivo slices, xenografting models, and engineering organoids. Together, we uncovered the essential local circuitry, cellular components, and molecular mechanisms facilitating cancer-neuron interaction at peritumor borders. KCND2 plays a crucial role in mediating nervous system-cancer electrical communication, suggesting potential targets for intervention.
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Affiliation(s)
- Ye Zhang
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Wei Duan
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Lingchao Chen
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Junrui Chen
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Wei Xu
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Qi Fan
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Shuwei Li
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Yuandong Liu
- School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China
| | - Shidi Wang
- School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China
| | - Quansheng He
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Xiaohui Li
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Yang Huang
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Haibao Peng
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Jiaxu Zhao
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Qiangqiang Zhang
- Advanced Model Animal Research Center, Department of Biotechnology and Biomedicine, Yangtze Delta Region Institute, Tsinghua University, Zhejiang 314006, China; Zhejiang Key Laboratory of Multiomics and Molecular Enzymology, Yangtze Delta Region Institute, Tsinghua University, Zhejiang 314006, China
| | - Zhixin Qiu
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China; Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Zhicheng Shao
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Bo Zhang
- Novel Bioinformatics Co., Ltd., Shanghai, China
| | - Yihua Wang
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China
| | - Yang Tian
- School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.
| | - Yousheng Shu
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China.
| | - Zhiyong Qin
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China.
| | - Yudan Chi
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai 200032, China.
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9
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Wang L, Yi X, Zhou Y, Gongga L, Yu S, Guo X, Pan X, Su X, Wang P. Hypoxia adaptation mechanism in rats' peripheral auditory system in high altitude migration: a time series transcriptome analysis. Sci Rep 2024; 14:26909. [PMID: 39505982 PMCID: PMC11541580 DOI: 10.1038/s41598-024-78169-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 10/29/2024] [Indexed: 11/08/2024] Open
Abstract
High altitude is characterized by low oxygen, low pressure, and high radiation. When migrates from low to high altitudes, the body's tissues and organs experience hypoxic stress and will present acoustic adaptation as the protective response. However, the mechanisms of acoustic adaptation at high altitudes remain unclear. In this study, cochlear tissues from Wistar rats were collected at 15, 30, 60, 120, and 180 days after high-altitude migration. Transcriptome sequencing was conducted and DESeq algorithm revealed expression patterns of Differentially Expressed Genes(DEGs) after high altitude migration. Day 60 is a critical stage for cochlear tissue "damage" and "repair" in high-altitude conditions. Transmission Electron Microscopy (TEM) observations of structures also support the findings. A time-series gene co-expression network algorithm was used to investigate gene regulatory patterns and key genes after migration. Immunofluorescence, immunohistochemistry, and qPCR were per-formed for key gene validation and localization. At Day 60, the peak DEG count occurs in rats migrating to high altitude, aligning with the critical phase for cochlear tissue damage and repair at high altitudes. Repair hinges on synaptic plasticity and myelination-linked processes, influencing modules M4 to M6. Module M4's activation gradually diminishes from its peak. However, the 'damage' effect is orchestrated by inflammation-related processes in modules M3 to M5, with module M3's activation also waning. Key gene module M4, pivotal for repair during this pivotal phase, encompasses Sptbn5, Cldn1, Gfra2, and Lims2 as its core genes. Immunohistochemistry reveals Sptbn5's presence in cochlear neurons, hair cells, Schwann cells and stria vascularis tissue. Cldn1 and Gfra2 predominantly localize within the cochlear neuron region. These results may suggest new directions for future research on acoustic acclimatization to high altitude.
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Affiliation(s)
- Luoying Wang
- Department of Regenerative Medicine, College of Pharmacy, Jilin University, Changchun, Jilin, 130021, China
| | - Xingcheng Yi
- Laboratory of Cancer Precision Medicine, The First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Yulai Zhou
- Department of Regenerative Medicine, College of Pharmacy, Jilin University, Changchun, Jilin, 130021, China
| | - Lanzi Gongga
- Tibet University Medical College, Lhasa, Tibet, 850000, China
| | - Shuyuan Yu
- Department of Otolaryngology-Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Xinyi Guo
- Department of Otolaryngology-Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin, 130021, China
| | - Xiaoqiang Pan
- Department of Neurosurgery, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, Jiangxi, 341000, China
| | - Xiaoyun Su
- Department of Regenerative Medicine, College of Pharmacy, Jilin University, Changchun, Jilin, 130021, China.
| | - Ping Wang
- Department of Otolaryngology-Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin, 130021, China.
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10
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Lin S, Wang L, Han C, Dai Y, Li C, Liu Y, Zhang B, Huang N, Zhang A, Zhang T, Wang Y, Xie J, Tang H, Cheng Y, Yao H, Lou M, Xue L, Wu ZB. Targeting HTR2B suppresses nonfunctioning pituitary adenoma growth and sensitizes cabergoline treatment via inhibiting Gαq/PLC/PKCγ/STAT3 axis. Neuro Oncol 2024; 26:2010-2026. [PMID: 38989697 PMCID: PMC11534325 DOI: 10.1093/neuonc/noae130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND Managing nonfunctioning pituitary adenomas (NFPAs) is difficult due to limited drug treatments. Cabergoline's (CAB) effectiveness for NFPAs is debated. This study explores the role of HTR2B in NFPAs and its therapeutic potential. METHODS We conducted screening of bulk RNA-sequencing data to analyze HTR2B expression levels in NFPA samples. In vitro and in vivo experiments were performed to evaluate the effects of HTR2B modulation on tumor growth and cell cycle regulation. Mechanistic insights into the HTR2B-mediated signaling pathway were elucidated using pharmacological inhibitors and molecular interaction assays. RESULTS Elevated HTR2B expression was detected in NFPA samples, which was associated with increased tumor survival. Inhibition of HTR2B activity resulted in the suppression of tumor growth through modulation of the G2M cell cycle. The inhibition of HTR2B with PRX-08066 was found to block STAT3 phosphorylation and nuclear translocation by interfering with the Gαq/PLC/PKC pathway. A direct interaction between PKC-γ and STAT3 was critical for STAT3 activation. CAB was shown to activate pSTAT3 via HTR2B, reducing its therapeutic potential. However, the combination of an HTR2B antagonist with CAB significantly inhibited tumor cell proliferation in HTR2B-expressing pituitary tumor cell lines, a xenografted pituitary tumor model, and patient-derived samples. Analysis of patient-derived data indicated that a distinct molecular pattern characterized by upregulated HTR2B/PKC-γ and downregulated BTG2/GADD45A may benefit from combination treatment with CAB and PRX-08066. CONCLUSIONS HTR2B is a potential therapeutic target for NFPAs, and its inhibition could improve CAB efficacy. A dual therapy approach may be beneficial for NFPA patients with high HTR2B expression.
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Affiliation(s)
- Shaojian Lin
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liangbo Wang
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Changxi Han
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuting Dai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Changsheng Li
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanting Liu
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bo Zhang
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ning Huang
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Anke Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Tao Zhang
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yu Wang
- Department of Neurosurgery, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Xie
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Tang
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijun Cheng
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Meiqing Lou
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Xue
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Neurosurgery, Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhe Bao Wu
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Neurosurgery, Center for Immune-Related Diseases at Shanghai Institute of Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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11
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Tan YT, Li T, Wang RB, Liu ZK, Ma MY, Huang RZ, Mo HY, Luo SY, Lin JF, Xu RH, Ju HQ. WTAP weakens oxaliplatin chemosensitivity of colorectal cancer by preventing PANoptosis. Cancer Lett 2024; 604:217254. [PMID: 39270768 DOI: 10.1016/j.canlet.2024.217254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 08/17/2024] [Accepted: 09/09/2024] [Indexed: 09/15/2024]
Abstract
As the most abundant post-transcriptional modification in eukaryotes, N6-methyladenosine (m6A) plays a crucial role in cancer cell proliferation, invasion and chemoresistance. However, its specific effects on chemosensitivity to oxaliplatin-based regimens and the impact of these drugs on m6A methylation levels in colorectal cancer (CRC) remain largely unexplored. In this study, we demonstrated that the m6A methyltransferase Wilms tumor 1-associating protein (WTAP) weakens oxaliplatin chemosensitivity in HCT116 and DLD1 cells. Mechanistically, oxaliplatin treatment upregulated WTAP expression, preventing multiple forms of cell death simultaneously, a process known as PANoptosis, by decreasing intracellular oxidative stress through maintaining the expression of nuclear factor erythroid-2-related factor 2 (NRF2), a major antioxidant response element, in an m6A-dependent manner. In addition, high WTAP expression in CRC patients is associated with a poor prognosis and reduced benefit from standard chemotherapy by clinical data analysis of The Cancer Genome Atlas (TCGA) database and patient cohort study. These findings suggest that targeting WTAP-NRF2-PANoptosis axis could enhance the antitumor efficacy of oxaliplatin-based chemotherapy in CRC treatment.
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Affiliation(s)
- Yue-Tao Tan
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, 510060, PR China
| | - Ting Li
- Department of Gastroenterology and Urology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, 410013, PR China
| | - Ruo-Bing Wang
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, 510632, PR China
| | - Ze-Kun Liu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, 510060, PR China; Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Meng-Yao Ma
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, 510632, PR China
| | - Ren-Ze Huang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, 510060, PR China
| | - Hai-Yu Mo
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, 510060, PR China
| | - Shu-Yu Luo
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, 510060, PR China
| | - Jin-Fei Lin
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, 510060, PR China; Department of Clinical Laboratory, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, PR China.
| | - Rui-Hua Xu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, 510060, PR China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060, PR China.
| | - Huai-Qiang Ju
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, 510060, PR China.
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12
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Huang Y, Liang Z, Lu J, Zhang M, Cao X, Hu R, Li D, Grierson D, Chen W, Zhu C, Wu D, Shi Y, Chen K. The transcription factor EjNAC5 regulates loquat fruit chilling lignification. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:6625-6643. [PMID: 39086268 DOI: 10.1093/jxb/erae333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 07/31/2024] [Indexed: 08/02/2024]
Abstract
Changes in both lignin biosynthesis and DNA methylation have been reported to be associated with chilling stress in plants. When stored at low temperatures, red-fleshed loquat is prone to lignification, with increased lignin content and fruit firmness, which has deleterious effects on taste and eating quality. Here, we found that 5 °C storage mitigated the increasing firmness and lignin content of red-fleshed 'Dahongpao' ('DHP') loquat fruit that occurred during 0 °C storage. EjNAC5 was identified by integrating RNA sequencing with whole-genome bisulfite sequencing analysis of 'DHP' loquat fruit. The transcript levels of EjNAC5 were positively correlated with changes in firmness and negatively correlated with changes in DNA methylation level of a differentially methylated region in the EjNAC5 promoter. In white-fleshed 'Baisha' ('BS') loquat fruit, which do not undergo chilling-induced lignification at 0 °C, the transcripts of EjNAC5 remained low and the methylation level of the differentially methylated region in the EjNAC5 promoter was higher, compared with 'DHP' loquat fruit. Transient overexpression of EjNAC5 in loquat fruit and stable overexpression in Arabidopsis and liverwort led to an increase in lignin content. Furthermore, EjNAC5 interacts with EjERF39 and EjHB1 and activates the transcription of Ej4CL1 and EjPRX12 genes involved in lignin biosynthesis. This regulatory network involves different transcription factors from those involved in the lignification pathway. Our study indicates that EjNAC5 promoter methylation modulates EjNAC5 transcript levels and identifies novel EjNAC5-EjERF39-Ej4CL1 and EjNAC5-EjHB1-EjPRX12 regulatory modules involved in chilling induced-lignification.
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Affiliation(s)
- Yiqing Huang
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Zihao Liang
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Jiao Lu
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Mengxue Zhang
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Xizhi Cao
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Ruoqian Hu
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Dongdong Li
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Donald Grierson
- Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK
| | - Wenbo Chen
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Changqing Zhu
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Di Wu
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Yanna Shi
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Kunsong Chen
- College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
- The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
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Wang Y, Hao Z, Liu J, Kang X, Ji C, Guo Y, Chen Z, Ma J, Li J, Jin X, Feng Z, Liang W, Wei Q. Case report: Single-cell RNA sequencing of PBMCs highlights monocyte gene expression alterations in a type A HBV-ACLF patient. Heliyon 2024; 10:e38344. [PMID: 39502220 PMCID: PMC11536012 DOI: 10.1016/j.heliyon.2024.e38344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/22/2024] [Accepted: 09/23/2024] [Indexed: 11/08/2024] Open
Abstract
Hepatitis B Virus-related acute-on-chronic liver failure (HBV-ACLF) is a severe complication with high fatality rates. However, the underlying mechanisms are still elusive and require further investigation. In this report, we described a case of type A HBV-ACLF in which significant changes were found in monocyte gene expression through single-cell RNA sequencing (scRNA-seq). Furthermore, we observed a shifted M1/M2 polarization as well as dynamic changes in HBV-ACLF markers expression within the circulating monocyte population. The co-expression of HBV-ACLF markers (MERTK, THBS1, PPARγ, and SEMA6B) in the circulating monocyte population suggests that monocytes could play an essential role in the development of HBV-ACLF. By analyzing a public HBV-ACLF cohort with bulk RNA-seq data (64 patients), we showed that the expression level of monocytes marker CD163 gradually increased among normal control individuals (NC, n = 15), patients with liver cirrhosis (LC, n = 10), patients with chronic hepatitis B infection (CHB, n = 10), patients with acute-on-chronic hepatic dysfunction (ACHD, n = 10), and patients with HBV-ACLF (n = 20). Furthermore, the representative HBV-ACLF marker THBS1 was significantly correlated with CD163 in this large clinical cohort. It indicated that the dramatic alteration in monocytes may not be limited to our type A HBV-ACLF patient alone but rather a common phenomenon in HBV-ACLF patients. Collectively, our scRNA-seq analysis showed that the pro-inflammatory status of monocytes had shifted into an anti-inflammatory status in this patient, indicating successful treatment and benign prognosis. Although scRNA-seq is still a time-consuming procedure and difficult to apply in daily clinical practice, this report preliminarily shows the promising potential utility of scRNA-seq in HBV-ACLF patients, by which altered status of monocytes could be unbiasedly detected.
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Affiliation(s)
- Yan Wang
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
| | - Zengfang Hao
- Department of Pathology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jiahua Liu
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
| | - Xige Kang
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
| | - Chenguang Ji
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
| | - Yu Guo
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
| | - Zian Chen
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
| | - Jiaao Ma
- Department of Physiology, Hebei Medical University, Shijiazhuang, China
| | - Jin Li
- Department of Physiology, Hebei Medical University, Shijiazhuang, China
| | - Xiaoxu Jin
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
| | - Zhijie Feng
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
| | - Weicheng Liang
- Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qi Wei
- Department of Gastroenterology, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Gastroenterology, Hebei Institute of Gastroenterology, Hebei Clinical Research Center for Digestive Diseases, Shijiazhuang, China
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Zhao Y, Zhu M, Gao H, Zhou Y, Yao W, Zhao Y, Zhang W, Feng C, Li Y, Jin Y, Xu K. Photosynthetic characteristics and genetic mapping of a yellow-green leaf mutant jym165 in soybean. BMC PLANT BIOLOGY 2024; 24:1009. [PMID: 39455920 PMCID: PMC11515216 DOI: 10.1186/s12870-024-05740-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Accepted: 10/21/2024] [Indexed: 10/28/2024]
Abstract
BACKGROUND Leaves are important sites for photosynthesis and can convert inorganic substances into organic matter. Photosynthetic performance is an important factor affecting crop yield. Leaf colour is closely related to photosynthesis, and leaf colour mutants are considered an ideal material for studying photosynthesis. RESULTS We obtained a yellow-green leaf mutant jym165, using ethyl methane sulfonate (EMS) mutagenesis. Physiological and biochemical analyses indicated that the contents of chlorophyll a, chlorophyll b, carotenoids, and total chlorophyll in the jym165 mutant decreased significantly compared with those in Jiyu47 (JY47). The abnormal chloroplast development of jym165 led to a decrease in net photosynthetic rate and starch content compared with that of JY47. However, quality traits analysis showed that the sum of oil and protein contents in jym165 was higher than that in JY47. In addition, the regional yield (seed spacing: 5 cm) of jym165 increased by 2.42% compared with that of JY47 under high planting density. Comparative transcriptome analysis showed that the yellow-green leaf phenotype was closely related to photosynthesis and starch and sugar metabolism pathways. Genetic analysis suggests that the yellow-green leaf phenotype is controlled by a single recessive nuclear gene. Using Mutmap sequencing, the candidate regions related of leaf colour was narrowed to 3.44 Mb on Chr 10. CONCLUSIONS Abnormal chloroplast development in yellow-green mutants leads to a decrease in the photosynthetic pigment content and net photosynthetic rate, which affects the soybean photosynthesis pathway and starch and sugar metabolism pathways. Moreover, it has the potentiality to increase soybean yield under dense planting conditions. This study provides a useful reference for studying the molecular mechanisms underlying photosynthesis in soybean.
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Affiliation(s)
- Yu Zhao
- College of Life Sciences, Jilin Agricultural University, Changchun, 130118, China
| | - Mengxue Zhu
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Hongtao Gao
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Yonggang Zhou
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Wenbo Yao
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Yan Zhao
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Wenping Zhang
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Chen Feng
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Yaxin Li
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Yan Jin
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China
| | - Keheng Xu
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China.
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15
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Ma B, Wu H, Gou S, Lian M, Xia C, Yang K, Jin L, Liu J, Wu Y, Shu Y, Yan H, Li Z, Lai L, Fan Y. A-to-G/C/T and C-to-T/G/A dual-function base editor for creating multi-nucleotide variants. J Genet Genomics 2024:S1673-8527(24)00260-1. [PMID: 39490920 DOI: 10.1016/j.jgg.2024.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 10/02/2024] [Accepted: 10/04/2024] [Indexed: 11/05/2024]
Abstract
MNVs (multi-nucleotide variants) are critical genetic variants associated with various genetic diseases. However, tools for precisely installing MNVs are limited. In this study, we present the development of a dual-base editor, BDBE, by integrating TadA-dual and engineered human N-methylpurine DNA glycosylase (eMPG) into nCas9 (D10A). Our results demonstrate that BDBE effectively converts A-to-G/C/T (referred to as A-to-B) and C-to-T/G/A (referred to as C-to-D) simultaneously, yielding nine types of dinucleotides from adjacent CA nucleotides while maintaining minimal off-target effects. Notably, BDBE4 exhibits exceptional performance across multiple human cell lines and successfully simulated all nine dinucleotide MNVs from the gnomAD database. These findings indicate that BDBE significantly expands the product range of base editors and offers a valuable resource for advancing MNV research.
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Affiliation(s)
- Bingxiu Ma
- Department of Obstetrics and Gynecology; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, China
| | - Han Wu
- China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China; Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, Hainan 572000, China; Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou, Guangdong 510530, China
| | - Shixue Gou
- Guangzhou National Laboratory, Guangzhou, Guangdong 510005, China
| | - Meng Lian
- Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, China
| | - Cong Xia
- China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Kaiming Yang
- China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Long Jin
- Department of Obstetrics and Gynecology; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, China
| | - Junyuan Liu
- Department of Obstetrics and Gynecology; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, China
| | - Yunlin Wu
- Department of Obstetrics and Gynecology; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, China
| | - Yahai Shu
- China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Haizhao Yan
- China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Zhanjun Li
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Animal Science, Jilin University, Changchun, Jilin 130062, China
| | - Liangxue Lai
- China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China; Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, Hainan 572000, China; Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou, Guangdong 510530, China.
| | - Yong Fan
- Department of Obstetrics and Gynecology; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, China.
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16
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Liang P, Zhu M, Sun X, Wang L, Li B, Ming S, Younis M, Yang J, Wu Y, Huang X. LncRNA-mRNA co-expression analysis reveals aquaporin-9-promoted neutrophil extracellular trap formation and inflammatory activation in sepsis. Int Immunopharmacol 2024; 140:112916. [PMID: 39133961 DOI: 10.1016/j.intimp.2024.112916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 07/29/2024] [Accepted: 08/06/2024] [Indexed: 09/01/2024]
Abstract
Sepsis is a life-threatening condition caused by an excessive inflammatory response to an infection. However, the precise regulatory mechanism of sepsis remains unclear. Using a strand-specific RNA-sequencing, we identified 115 hub differentially expressed long noncoding RNAs (lncRNAs) and 443 mRNAs in septic patients, primarily participated in crucial pathways including neutrophil extracellular trap (NET) formation and toll-like receptor signaling. Notably, NETs related gene aquaporin-9 (AQP9) and its associated lncRNAs exhibited significant upregulation in septic neutrophils. Functional experiments revealed AQP9 interacts with its lncRNAs to augment the formation of neutrophil NETs. In murine sepsis models, AQP9 inhibition with phloretin reduced proinflammatory cytokine production and lung damage. These findings provide crucial insights into the regulatory role of AQP9 in sepsis, unraveling its interaction with associated lncRNAs in transmitting downstream signals, holding promise in informing the development of novel therapeutic strategies aimed at ameliorating the debilitating effects of sepsis.
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Affiliation(s)
- Pingping Liang
- Center for Infection and Immunity and Guangdong Provincial Engineering Research Center of Molecular Imaging, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, China; Guangdong-Hong Kong-Macao University Joint Laboratory of Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong 519000, China; Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Infectious Diseases, Traditional Chinese Medicine Bureau of Guangdong Province, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong 519000, China
| | - Manman Zhu
- Department of Clinical Laboratory, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong 519000, China
| | - Xingzi Sun
- Center for Infection and Immunity and Guangdong Provincial Engineering Research Center of Molecular Imaging, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, China
| | - Li Wang
- Department of Obstetrics and Gynecology, Perinatal Medical Center, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, China
| | - Bin Li
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Siqi Ming
- Center for Infection and Immunity and Guangdong Provincial Engineering Research Center of Molecular Imaging, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, China
| | - Muhammad Younis
- Center for Infection and Immunity and Guangdong Provincial Engineering Research Center of Molecular Imaging, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, China
| | - Jianhua Yang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China
| | - Yongjian Wu
- Center for Infection and Immunity and Guangdong Provincial Engineering Research Center of Molecular Imaging, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, China; Guangdong-Hong Kong-Macao University Joint Laboratory of Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong 519000, China; Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Infectious Diseases, Traditional Chinese Medicine Bureau of Guangdong Province, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong 519000, China.
| | - Xi Huang
- Center for Infection and Immunity and Guangdong Provincial Engineering Research Center of Molecular Imaging, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, China; Guangdong-Hong Kong-Macao University Joint Laboratory of Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong 519000, China; Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Infectious Diseases, Traditional Chinese Medicine Bureau of Guangdong Province, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong 519000, China.
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17
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Liu Z, Sun Y, Liu Z, Song J, Yang W, Wang Z, Liang T, Liang D. Transcriptome analysis reveals regulatory mechanism of postharvest softening in kiwiberry. BMC PLANT BIOLOGY 2024; 24:994. [PMID: 39438842 PMCID: PMC11515738 DOI: 10.1186/s12870-024-05715-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 10/15/2024] [Indexed: 10/25/2024]
Abstract
BACKGROUND Kiwiberry is an emerging edible fruit with market potential owing to its advantages of small size, thin and hairless skin, and sweet taste. However, kiwiberry is highly susceptible to softening after harvest, which poses a challenge for storage and transport. To reveal the underlying cause of kiwiberry softening, it is essential to investigate the characteristics of postharvest fruit and the molecular mechanisms that affect changes in fruit firmness. RESULTS Morphological observations and analysis of physical parameters showed that the skin of kiwiberry did not change markedly from the 1st to the 7th day after harvest, while the colour of the inner pericarp gradually turned yellow. By the 9th day of room temperature storage, the kiwiberries began to rot. The hardness decreased rapidly from the 1st to the 5th day postharvest, reaching the low level on the 5th day. The starch and pectin contents of kiwiberry showed a downward trend with increasing storage time. Transcriptome sequencing and weighted gene co-expression network analysis identified 29 key genes associated with the changes in the hardness of kiwiberry after harvest. Gene Ontology enrichment analysis indicated that these 29 genes are mainly involved in pectin metabolism, starch synthesis, starch decomposition, and starch metabolism. In addition, three transcription factors, AGL31, HAT14, and ALC, were identified to be strongly positively correlated with the 29 genes that affect the hardness changes of kiwiberry after harvest, and 28 of the 29 key genes were predicted to be regulated by HAT14. CONCLUSIONS These results reveal the changes in morphological characteristics and physiological indicators during the postharvest ripening and softening of kiwiberry stored under room temperature conditions. Transcriptome analysis identified 29 key genes and three transcription factors that affect the firmness changes of postharvest kiwiberry. The results of this study thus provide insight into the transcriptional regulatory mechanism of kiwiberry softening during storage to improve the postharvest quality.
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Affiliation(s)
- Zhao Liu
- Institute of Economic Forestry, Liaoning Academy of Agricultural Sciences, Dalian, 116031, China
| | - Yang Sun
- Institute of Economic Forestry, Liaoning Academy of Agricultural Sciences, Dalian, 116031, China
| | - Zhenpan Liu
- Institute of Economic Forestry, Liaoning Academy of Agricultural Sciences, Dalian, 116031, China
| | - Jianyu Song
- Institute of Economic Forestry, Liaoning Academy of Agricultural Sciences, Dalian, 116031, China
| | - Weicong Yang
- Institute of Economic Forestry, Liaoning Academy of Agricultural Sciences, Dalian, 116031, China
| | - Zhannan Wang
- Institute of Economic Forestry, Liaoning Academy of Agricultural Sciences, Dalian, 116031, China
| | - Taiming Liang
- Liaoning Hongyang Ecological Industry Development Co., Ltd, Shenyang, 110122, China
| | - Dejun Liang
- Institute of Economic Forestry, Liaoning Academy of Agricultural Sciences, Dalian, 116031, China.
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18
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Tai T, Shao YY, Zheng YQ, Jiang LP, Han HR, Yin N, Li HD, Ji JZ, Mi QY, Yang L, Feng L, Duan FY, Xie HG. Clopidogrel ameliorates high-fat diet-induced hepatic steatosis in mice through activation of the AMPK signaling pathway and beyond. Front Pharmacol 2024; 15:1496639. [PMID: 39508046 PMCID: PMC11537861 DOI: 10.3389/fphar.2024.1496639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Accepted: 10/07/2024] [Indexed: 11/08/2024] Open
Abstract
Introduction Metabolic dysfunction-associated steatotic liver disease (MASLD) frequently confers an increased risk of vascular thrombosis; however, the marketed antiplatelet drugs are investigated for the prevention and treatment of MASLD in patients with these coexisting diseases. Methods To determine whether clopidogrel could ameliorate high-fat diet (HFD)-induced hepatic steatosis in mice and how it works, mice were fed on normal diet or HFD alone or in combination with or without clopidogrel for 14 weeks, and primary mouse hepatocytes were treated with palmitate/oleate alone or in combination with the compounds examined for 24 h. Body weight, liver weight, insulin resistance, triglyceride and total cholesterol content in serum and liver, histological morphology, transcriptomic analysis of mouse liver, and multiple key MASLD-associated genes and proteins were measured, respectively. Results and discussion Clopidogrel mitigated HFD-induced hepatic steatosis (as measured with oil red O staining and triglyceride kit assay) and reduced elevations in serum aminotransferases, liver weight, and the ratio of liver to body weight. Clopidogrel downregulated the expression of multiple critical lipogenic (Acaca/Acacb, Fasn, Scd1, Elovl6, Mogat1, Pparg, Cd36, and Fabp4), profibrotic (Col1a1, Col1a2, Col3a1, Col4a1, Acta2, and Mmp2), and proinflammatory (Ccl2, Cxcl2, Cxcl10, Il1a, Tlr4, and Nlrp3) genes, and enhanced phosphorylation of AMPK and ACC. However, compound C (an AMPK inhibitor) reversed enhanced phosphorylation of AMPK and ACC in clopidogrel-treated primary mouse hepatocytes and alleviated accumulation of intracellular lipids. We concluded that clopidogrel may prevent and/or reverse HFD-induced hepatic steatosis in mice, suggesting that clopidogrel could be repurposed to fight fatty liver in patients.
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Affiliation(s)
- Ting Tai
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yuan-Yuan Shao
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
| | - Yu-Qi Zheng
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Department of Clinical Pharmacology, Nanjing Medical University School of Pharmacy, Nanjing, China
| | - Li-Ping Jiang
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
| | - Hao-Ru Han
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
| | - Na Yin
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
| | - Hao-Dong Li
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Department of Clinical Pharmacology, Nanjing Medical University School of Pharmacy, Nanjing, China
| | - Jin-Zi Ji
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Qiong-Yu Mi
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Li Yang
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
| | - Lei Feng
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
| | - Fu-Yang Duan
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
| | - Hong-Guang Xie
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, China Pharmaceutical University School of Basic Medicine and Clinical Pharmacy, Nanjing, China
- Division of Clinical Pharmacology, General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Department of Clinical Pharmacology, Nanjing Medical University School of Pharmacy, Nanjing, China
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Liu W, Cui Z, Wan Q, Liu Y, Chen M, Cheng Y, Sang X, Su Y, Gu S, Li C, Liu C, Chen S, Wang Z, Wang X. The BET inhibitor JQ1 suppresses tumor survival by ABCB5-mediated autophagy in uveal melanoma. Cell Signal 2024; 125:111483. [PMID: 39442901 DOI: 10.1016/j.cellsig.2024.111483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 10/16/2024] [Accepted: 10/20/2024] [Indexed: 10/25/2024]
Abstract
Uveal melanoma (UM), the most common adult ocular tumor, is aggressive and resistant to treatment, posing threat to patients' lives. The novel, effective therapies and the exploration of chemosensitizer for UM are imperative. The anticancer efficacy was evaluated with and without JQ1 treatment or ABCB5 gene silencing or overexpression. RNA sequencing identified downstream effectors in JQ1-treated cells. Integrated analysis of The Cancer Genome Atlas data (TCGA) and immunohistochemistry (IHC) revealed the oncogenic role of ABCB5. Functional analyses of JQ1 and defective ABCB5 were conducted using flow cytometry, transmission electron microscopy (TEM), IHC and western blot. The effects of JQ1 were validated in a heterotopic tumor model derived from OCM-1 cells. JQ1 inhibited cell proliferation, migration and invasion, induced cell cycle arrest and promoted apoptosis. JQ1 also suppressed the survival of UM in heterotopic tumor model. RNA sequencing indicated that JQ1 down-regulated the expressions of ABCB5 and autophagy-related genes, which was confirmed in vitro and in vivo by western blot. ABCB5, a marker associated with cancer stem cells and chemo-resistance, exhibited heightened expression in UM tissues, linked to immune infiltration. Notably, disrupting ABCB5 expression impeded UM cell proliferation and interfered with autophagy. Moreover, the overexpression of ABCB5 promoted cell proliferation, migration and invasion, and rescued autophagy related gene expression. Of note, JQ1 enhanced the sensitivity of OCM-1 cells to chemotherapy. Thus JQ1 inhibits UM survival via ABCB5-mediated autophagy and enhances chemo-sensitivity, suggesting potential for BET-based approaches in UM clinical management.
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Affiliation(s)
- Weiqin Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Zedu Cui
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Qi Wan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China; West China Hospital of Sichuan University, 610041 Chengdu, China
| | - Ying Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Minghao Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Yaqi Cheng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Xuan Sang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Yaru Su
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Simin Gu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Chaoyang Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Chang Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - Shuxia Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Pathology Department, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou 510060, China
| | - Zhichong Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China.
| | - Xiaoran Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat- Sen University, Guangdong Provincial Key Laboratory of Ophthalmology Visual Science, Guangzhou 510060, China; Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China.
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20
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Xie X, Wang P, Jin M, Wang Y, Qi L, Wu C, Guo S, Li C, Zhang X, Yuan Y, Ma X, Liu F, Liu W, Liu H, Duan C, Ye P, Li X, Borish L, Zhao W, Feng X. IL-1β-induced epithelial cell and fibroblast transdifferentiation promotes neutrophil recruitment in chronic rhinosinusitis with nasal polyps. Nat Commun 2024; 15:9101. [PMID: 39438439 PMCID: PMC11496833 DOI: 10.1038/s41467-024-53307-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 10/09/2024] [Indexed: 10/25/2024] Open
Abstract
Neutrophilic inflammation contributes to multiple chronic inflammatory airway diseases, including asthma and chronic rhinosinusitis with nasal polyps (CRSwNP), and is associated with an unfavorable prognosis. Here, using single-cell RNA sequencing (scRNA-seq) to profile human nasal mucosa obtained from the inferior turbinates, middle turbinates, and nasal polyps of CRSwNP patients, we identify two IL-1 signaling-induced cell subsets-LY6D+ club cells and IDO1+ fibroblasts-that promote neutrophil recruitment by respectively releasing S100A8/A9 and CXCL1/2/3/5/6/8 into inflammatory regions. IL-1β, a pro-inflammatory cytokine involved in IL-1 signaling, induces the transdifferentiation of LY6D+ club cells and IDO1+ fibroblasts from primary epithelial cells and fibroblasts, respectively. In an LPS-induced neutrophilic CRSwNP mouse model, blocking IL-1β activity with a receptor antagonist significantly reduces the numbers of LY6D+ club cells and IDO1+ fibroblasts and mitigates nasal inflammation. This study implicates the function of two cell subsets in neutrophil recruitment and demonstrates an IL-1-based intervention for mitigating neutrophilic inflammation in CRSwNP.
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Affiliation(s)
- Xinyu Xie
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Provincial Key Medical and Health Discipline, Qilu Hospital of Shandong University, Jinan, China
| | - Pin Wang
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Provincial Key Medical and Health Discipline, Qilu Hospital of Shandong University, Jinan, China
| | - Min Jin
- Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan, China
| | - Yue Wang
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China
| | - Lijie Qi
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Provincial Key Medical and Health Discipline, Qilu Hospital of Shandong University, Jinan, China
| | - Changhua Wu
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Shu Guo
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Changqing Li
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaojun Zhang
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Provincial Key Medical and Health Discipline, Qilu Hospital of Shandong University, Jinan, China
| | - Ye Yuan
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Xinyi Ma
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Fangying Liu
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Weiyuan Liu
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Heng Liu
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Chen Duan
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Provincial Key Medical and Health Discipline, Qilu Hospital of Shandong University, Jinan, China
| | - Ping Ye
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Provincial Key Medical and Health Discipline, Qilu Hospital of Shandong University, Jinan, China
| | - Xuezhong Li
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Provincial Key Medical and Health Discipline, Qilu Hospital of Shandong University, Jinan, China
| | - Larry Borish
- Departments of Medicine, University of Virginia Health System, Charlottesville, VA, USA
- Departments of Microbiology, University of Virginia Health System, Charlottesville, VA, USA
| | - Wei Zhao
- Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of Basic Medical Science, Shandong University, Jinan, China
- Key Laboratory of Infection and Immunity of Shandong Province, School of Basic Medical Science, Shandong University, Jinan, China
| | - Xin Feng
- Department of Otorhinolaryngology, National Health Commission Key Laboratory of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China.
- Shandong Provincial Key Medical and Health Discipline, Qilu Hospital of Shandong University, Jinan, China.
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21
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Wang Y, Wang X, Wang W, Cao Z, Zhang Y, Liu G. Screening of functional maternal-specific chromatin regulators in early embryonic development of zebrafish. Commun Biol 2024; 7:1354. [PMID: 39427068 PMCID: PMC11490497 DOI: 10.1038/s42003-024-06983-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 09/28/2024] [Indexed: 10/21/2024] Open
Abstract
The early stages of embryonic development rely on maternal products for proper regulation. However, screening for functional maternal-specific factors is challenging due to the time- and labor-intensive nature of traditional approaches. Here, we combine a computational pipeline and F0 null mutant technology to screen for functional maternal-specific chromatin regulators in zebrafish embryogenesis and identify Mcm3l, Mcm6l, and Npm2a as playing essential roles in DNA replication and cell division. Our results contribute to understanding the molecular mechanisms underlying early embryo development and highlight the importance of maternal-specific chromatin regulators in this critical stage.
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Affiliation(s)
- Yiman Wang
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Institute for Regenerative Medicine, Department of Neurosurgery, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Xiangxiu Wang
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Institute for Regenerative Medicine, Department of Neurosurgery, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
- Key Laboratory of Biorheological and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Modern Life Science Experiment Teaching Center at Bioengineering College of Chongqing University, Chongqing, 400030, China
| | - Wen Wang
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Institute for Regenerative Medicine, Department of Neurosurgery, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Zheng Cao
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Institute for Regenerative Medicine, Department of Neurosurgery, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yong Zhang
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Institute for Regenerative Medicine, Department of Neurosurgery, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Guifen Liu
- State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Institute for Regenerative Medicine, Department of Neurosurgery, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
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22
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Yan L, Jiao B, Duan P, Guo G, Zhang B, Jiao W, Zhang H, Wu H, Zhang L, Liang H, Xu J, Huang X, Wang Y, Zhou Y, Li Y. Control of grain size and weight by the RNA-binding protein EOG1 in rice and wheat. Cell Rep 2024; 43:114856. [PMID: 39427319 DOI: 10.1016/j.celrep.2024.114856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 05/24/2024] [Accepted: 09/24/2024] [Indexed: 10/22/2024] Open
Abstract
Grain size is one of the important yield traits in crops. Understanding the molecular and genetic mechanisms of grain-size control is important for yield improvement. Here, we report that the enhancer of GS2AA (EOG1) encodes an RNA-binding protein, which can bind mRNAs of several grain-size genes and influence their abundance. The eog1-1 mutant produces large and heavy grains by promoting cell proliferation in the spikelet hull. OsGSK3 physically interacts with and phosphorylates EOG1, thereby influencing the stability of EOG1. Genetic analyses support that EOG1 and OsGSK3 share overlapped function in grain size and weight control but does so independently of GS2. Notably, genome editing of wheat homologs TaEOG1A/B/D causes large and heavy grains. Thus, our findings identify a genetic and molecular mechanism whereby the OsGSK3-EOG1 module regulates grain size and weight in rice, suggesting that this pathway has the potential for grain-size improvement in key crops.
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Affiliation(s)
- Li Yan
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Bingyang Jiao
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Penggen Duan
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Guanghui Guo
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, College of Agriculture, Henan University, Kaifeng 475004, China
| | - Baolan Zhang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenjie Jiao
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Hao Zhang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Huilan Wu
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Limin Zhang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Huihui Liang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, College of Agriculture, Henan University, Kaifeng 475004, China
| | - Jinsong Xu
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiahe Huang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingchun Wang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yun Zhou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, College of Agriculture, Henan University, Kaifeng 475004, China.
| | - Yunhai Li
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; College of Advanced Agriculture Sciences, University of Chinese Academy of Sciences, Beijing 100039, China.
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23
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Hu Y, He Z, Liu S, Ying W, Chen Y, Zhao M, He M, Wu X, Tang Y, Gu W, Ying M, Wang J, Tao T. Patient-derived rhabdomyosarcoma cells recapitulate the genetic and transcriptomic landscapes of primary tumors. iScience 2024; 27:110862. [PMID: 39319271 PMCID: PMC11417342 DOI: 10.1016/j.isci.2024.110862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/29/2024] [Accepted: 08/29/2024] [Indexed: 09/26/2024] Open
Abstract
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in childhood and adolescence. The availability of appropriate and well-characterized preclinical models for RMS is limited, posing a challenge for investigating the molecular mechanisms and evaluating new targeted compounds in preclinical settings. Here, we collected 51 RMS specimens (referred to as ZJUCH-RMS cohort) and established 9 patient-derived cells (PDCs) and validated the identity of these cells by the expression of RMS-specific markers. Whole-transcriptome analysis identified high-confidence mutations in ZJUCH-RMS cohort including RAS, TP53, ARID1A, MYOD1, and MYCN. Further studies showed that RMS PDCs retained the genetic alterations and the expression of RMS hallmark and dependency genes in matched primary tumors and acted as valuable tools to assess drug responses and pharmacogenomic interactions. Our study provides unique PDCs that are available for preclinical studies of RMS and further advances the feasibility of RMS PDCs as valuable tools for developing personalized treatments for patients.
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Affiliation(s)
- Yuxiang Hu
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Department of Surgical Oncology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
- The First Clinical Institute, Zunyi Medical University, Zunyi 563000, China
| | - Ziqi He
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Department of Surgical Oncology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
- The First Clinical Institute, Zunyi Medical University, Zunyi 563000, China
| | - Shuangai Liu
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Department of Surgical Oncology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
- The First Clinical Institute, Zunyi Medical University, Zunyi 563000, China
| | - Wenwen Ying
- Institute of Pharmacology and Toxicology, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yifan Chen
- Institute of Pharmacology and Toxicology, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Manli Zhao
- Department of Pathology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Min He
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Department of Surgical Oncology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Xuan Wu
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Department of Surgical Oncology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Yinbing Tang
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Department of Surgical Oncology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Weizhong Gu
- Department of Pathology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Meidan Ying
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Institute of Pharmacology and Toxicology, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
- Cancer Center, Zhejiang University, Hangzhou 310058, China
| | - Jinhu Wang
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Department of Surgical Oncology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Key Laboratory of Diagnosis and Treatment of Neonatal Diseases of Zhejiang Province, Hangzhou 310052, China
- Cancer Center, Zhejiang University, Hangzhou 310058, China
| | - Ting Tao
- Pediatric Cancer Research Center, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Department of Surgical Oncology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
- Key Laboratory of Diagnosis and Treatment of Neonatal Diseases of Zhejiang Province, Hangzhou 310052, China
- Cancer Center, Zhejiang University, Hangzhou 310058, China
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24
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Liang W, Tao J, Cheng C, Sun H, Ye Z, Wu S, Guo Y, Zhang J, Chen Q, Liu D, Liu L, Tian H, Teng L, Zhong N, Fan JB, He J. A clinically effective model based on cell-free DNA methylation and low-dose CT for risk stratification of pulmonary nodules. Cell Rep Med 2024; 5:101750. [PMID: 39341207 PMCID: PMC11513810 DOI: 10.1016/j.xcrm.2024.101750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/20/2024] [Accepted: 09/02/2024] [Indexed: 09/30/2024]
Abstract
Accurate, non-invasive, and cost-effective tools are needed to assist pulmonary nodule diagnosis and management due to increasing detection by low-dose computed tomography (LDCT). We perform genome-wide methylation sequencing on malignant and non-malignant lung tissues and designed a panel of 263 differential DNA methylation regions, which is used for targeted methylation sequencing on blood cell-free DNA (cfDNA) in two prospectively collected and retrospectively analyzed multicenter cohorts. We develop and optimize an integrative model for risk stratification of pulmonary nodules based on 40 cfDNA methylation biomarkers, age, and five simple computed tomography (CT) imaging features using machine learning approaches and validate its good performance in two cohorts. Using the two-threshold strategy can effectively reduce unnecessary invasive surgeries, overtreatment costs, and injury for patients with benign nodules while advising immediate treatment for patients with lung cancer, which can potentially improve the overall diagnosis of lung cancer following LDCT/CT screening.
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Affiliation(s)
- Wenhua Liang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Disease & Health, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.
| | - Jinsheng Tao
- AnchorDx Medical Co., Ltd., Guangzhou 510320, China
| | - Chao Cheng
- Department of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Haitao Sun
- Clinical Biobank Center, Guangdong Provincial Clinical Research Center for Laboratory Medicine, Department of Laboratory Medicine, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Zhujia Ye
- AnchorDx Medical Co., Ltd., Guangzhou 510320, China
| | - Shuangxiu Wu
- AnchorDx Medical Co., Ltd., Guangzhou 510320, China
| | - Yubiao Guo
- Department of Pulmonary Medicine, The First Affiliated Hospital of Sun Yat Sen University, Guangzhou 510080, China
| | - Jiaqing Zhang
- Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280 China
| | - Qunqing Chen
- Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280 China
| | - Dan Liu
- Department of Respiratory Medicine, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Lunxu Liu
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Hui Tian
- Department of Thoracic Surgery, QILU Hospital, Shandong University, Jinan 250012 China
| | - Lin Teng
- AnchorDx Medical Co., Ltd., Guangzhou 510320, China
| | - Nanshan Zhong
- Department of Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Disease & Health, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou, 510120, China
| | - Jian-Bing Fan
- AnchorDx Medical Co., Ltd., Guangzhou 510320, China; Department of Pathology, School of Basic Medical Science, Southern Medical University, Guangzhou 518055, China.
| | - Jianxing He
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Disease & Health, China State Key Laboratory and National Clinical Research Center for Respiratory Disease, Guangzhou 510120, China.
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25
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Zhang Q, Zhang J, Chang G, Zhao K, Yao Y, Liu L, Du Z, Wang Y, Guo X, Zhao Z, Zeng W, Gao S. Decoding molecular features of bovine oocyte fate during antral follicle growth via single-cell multi-omics analysis†. Biol Reprod 2024; 111:815-833. [PMID: 39058647 DOI: 10.1093/biolre/ioae114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/30/2024] [Accepted: 07/25/2024] [Indexed: 07/28/2024] Open
Abstract
Antral follicle size is a useful predictive marker of the competency of enclosed oocytes for yielding an embryo following in vitro maturation and fertilization. However, the molecular mechanisms underpinning oocyte developmental potential during bovine antral follicle growth are still unclear. Here, we used a modified single-cell multi-omics approach to analyze the transcriptome, DNA methylome, and chromatin accessibility in parallel for oocytes and cumulus cells collected from bovine antral follicles of different sizes. Transcriptome profiling identified three types of oocytes (small, medium, and large) that underwent different developmental trajectories, with large oocytes exhibiting the largest average follicle size and characteristics resembling metaphase-II oocytes. Differential expression analysis and real-time polymerase chain reaction assay showed that most replication-dependent histone genes were highly expressed in large oocytes. The joint analysis of multi-omics data revealed that the transcription of 20 differentially expressed genes in large oocytes was associated with both DNA methylation and chromatin accessibility. In addition, oocyte-cumulus interaction analysis showed that inflammation, DNA damage, and p53 signaling pathways were active in small oocytes, which had the smallest average follicle sizes. We further confirmed that p53 pathway inhibition in the in vitro maturation experiments using oocytes obtained from small antral follicles could improve the quality of oocytes and increased the blastocyte rate after in vitro fertilization and culture. Our work provides new insights into the intricate orchestration of bovine oocyte fate determination during antral folliculogenesis, which is instrumental for optimizing in vitro maturation techniques to optimize oocyte quality.
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Affiliation(s)
- Qiang Zhang
- College of Animal Science and Technology, Shihezi University, Shihezi, China
| | - Jingyao Zhang
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Gang Chang
- Department of Biochemistry and Molecular Biology, Shenzhen University Medical School, Shenzhen, China
| | - Kun Zhao
- Translational Medical Center for Stem Cell Therapy & Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Yujun Yao
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Li Liu
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Zihuan Du
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yanping Wang
- College of Animal Science and Technology, Shihezi University, Shihezi, China
| | - Xingrong Guo
- Hubei Key Laboratory of Embryonic Stem Cell Research Hubei Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Zongsheng Zhao
- College of Animal Science and Technology, Shihezi University, Shihezi, China
| | - Weibin Zeng
- College of Animal Science and Technology, Shihezi University, Shihezi, China
| | - Shuai Gao
- State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding (MOE), College of Animal Science and Technology, China Agricultural University, Beijing, China
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26
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Cai Q, Codjia JEI, Buyck B, Cui YY, Ryberg M, Yorou NS, Yang ZL. The evolution of ectomycorrhizal symbiosis and host-plant switches are the main drivers for diversification of Amanitaceae (Agaricales, Basidiomycota). BMC Biol 2024; 22:230. [PMID: 39390520 PMCID: PMC11465788 DOI: 10.1186/s12915-024-02031-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 10/02/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND Evolutionary radiation is widely recognized as a mode of species diversification, but the drivers of the rapid diversification of fungi remain largely unknown. Here, we used Amanitaceae, one of the most diverse families of macro-fungi, to investigate the mechanism underlying its diversification. RESULTS The ancestral state of the nutritional modes was assessed based on phylogenies obtained from fragments of 36 single-copy genes and stable isotope analyses of carbon and nitrogen. Moreover, a number of time-, trait-, and paleotemperature-dependent models were employed to investigate if the acquisition of ectomycorrhizal (ECM) symbiosis and climate changes promoted the diversification of Amanitaceae. The results indicate that the evolution of ECM symbiosis has a single evolutionary origin in Amanitaceae. The earliest increase in diversification coincided with the acquisition of the ECM symbiosis with angiosperms in the middle Cretaceous. The recent explosive diversification was primarily triggered by the host-plant switches from angiosperms to the mixed forests dominated by Fagaceae, Salicaceae, and Pinaceae or to Pinaceae. CONCLUSIONS Our study provides a good example of integrating phylogeny, nutritional mode evolution, and ecological analyses for deciphering the mechanisms underlying fungal evolutionary diversification. This study also provides new insights into how the transition to ECM symbiosis has driven the diversification of fungi.
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Affiliation(s)
- Qing Cai
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
- Yunnan Key Laboratory for Fungal Diversity and Green Development, Kunming, 650201, China
| | - Jean Evans I Codjia
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
- Research Unit Tropical Mycology and Plants-Soil Fungi Interactions, Faculty of Agronomy, University of Parakou, Parakou, BP 123, Benin
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan, 666303, China
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
| | - Bart Buyck
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, CP 39, 57 rue Cuvier, Paris, 75005, France
| | - Yang-Yang Cui
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
- Yunnan Key Laboratory for Fungal Diversity and Green Development, Kunming, 650201, China
| | - Martin Ryberg
- Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Nourou S Yorou
- Research Unit Tropical Mycology and Plants-Soil Fungi Interactions, Faculty of Agronomy, University of Parakou, Parakou, BP 123, Benin
| | - Zhu L Yang
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
- Yunnan Key Laboratory for Fungal Diversity and Green Development, Kunming, 650201, China.
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Li Y, Ding Y, Hou Y, Liu L, Liu Z, Yao Z, Shi P, Li J, Chen K, Hu J. Single-cell analysis reveals alternations between the aged and young mice prostates. Biomark Res 2024; 12:117. [PMID: 39385256 PMCID: PMC11462726 DOI: 10.1186/s40364-024-00666-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 10/03/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND Aging of the male prostate is an inevitable process in which the prostate undergoes hyperplasia, and this growth may lead to compression of the urethra, resulting in voiding dysfunction and associated symptoms, and an increased risk of prostate cancer. Despite the significance of prostate aging, the molecular mechanisms involved are still not fully understood. METHODS Prostate split by lobes from young (2 months) and aged (24 months) mice were collected for single-cell RNA sequencing (scRNA-seq) analysis. Tissues from both anterior prostate (AP) and ventral/dorsal/lateral prostate (VDLP) were included in the study. Data analysis included unsupervised clustering using the uniform manifold approximation and projection (UMAP) algorithm to identify distinct cell types based on marker gene expression. Differential gene expression analysis was performed to identify age-related changes in gene expression across different cell types. Functional enrichment analysis was conducted to elucidate biological pathways associated with differentially expressed genes. Additionally, cellular interactions and developmental trajectories were analyzed to characterize cellular dynamics during prostate aging. RESULTS The single-cell transcriptome analysis of the mouse prostate during aging revealed heterogeneity across various cell types and their changes during the aging process. We found a significant increase in the proportion of mesenchymal and immune cells in aged mice. Our study unveiled alterations in genes and pathways associated with cellular senescence, oxidative stress, and regeneration in epithelial cells. Furthermore, we observed that basal cells may undergo epithelial-mesenchymal transition (EMT) to become mesenchymal cells, particularly prominent in aged mice. Additionally, immune cells, notably macrophages and T cells, exhibited a heightened inflammatory response in aged mice. CONCLUSION In summary, our study provides a comparative analysis of the single-cell transcriptome of the aged and young mice prostates, elucidating cellular and molecular changes between the aged and young mice prostates.
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Affiliation(s)
- Yang Li
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhong Ding
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yaxin Hou
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lilong Liu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhenghao Liu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhipeng Yao
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pengjie Shi
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinxu Li
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ke Chen
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Junyi Hu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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28
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Nian Z, Dou Y, Shen Y, Liu J, Du X, Jiang Y, Zhou Y, Fu B, Sun R, Zheng X, Tian Z, Wei H. Interleukin-34-orchestrated tumor-associated macrophage reprogramming is required for tumor immune escape driven by p53 inactivation. Immunity 2024; 57:2344-2361.e7. [PMID: 39321806 DOI: 10.1016/j.immuni.2024.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 03/29/2024] [Accepted: 08/22/2024] [Indexed: 09/27/2024]
Abstract
As the most frequent genetic alteration in cancer, more than half of human cancers have p53 mutations that cause transcriptional inactivation. However, how p53 modulates the immune landscape to create a niche for immune escape remains elusive. We found that cancer stem cells (CSCs) established an interleukin-34 (IL-34)-orchestrated niche to promote tumorigenesis in p53-inactivated liver cancer. Mechanistically, we discovered that Il34 is a gene transcriptionally repressed by p53, and p53 loss resulted in IL-34 secretion by CSCs. IL-34 induced CD36-mediated elevations in fatty acid oxidative metabolism to drive M2-like polarization of foam-like tumor-associated macrophages (TAMs). These IL-34-orchestrated TAMs suppressed CD8+ T cell-mediated antitumor immunity to promote immune escape. Blockade of the IL-34-CD36 axis elicited antitumor immunity and synergized with anti-PD-1 immunotherapy, leading to a complete response. Our findings reveal the underlying mechanism of p53 modulation of the tumor immune microenvironment and provide a potential target for immunotherapy of cancer with p53 inactivation.
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Affiliation(s)
- Zhigang Nian
- Department of Geriatrics, First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230036, China; Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Yingchao Dou
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Yiqing Shen
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Jintang Liu
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Xianghui Du
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Yong Jiang
- Department of Anesthesiology, The first affiliated hospital of Anhui Medical University, Hefei, Anhui 230027, China
| | - Yonggang Zhou
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Binqing Fu
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Rui Sun
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Xiaohu Zheng
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Zhigang Tian
- Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Haiming Wei
- Department of Geriatrics, First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230036, China; Key Laboratory of Immune Response and Immunotherapy, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Institue of Immunology, University of Science and Technology of China, Hefei, Anhui 230027, China.
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29
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Chen MM, Zhao Y, Yu K, Xu XL, Zhang XS, Zhang JL, Wu SJ, Liu ZM, Yuan YM, Guo XF, Qi SY, Yi G, Wang SQ, Li HX, Wu AW, Liu GS, Deng SL, Han HB, Lv FH, Lian D, Lian ZX. A MSTNDel73C mutation with FGF5 knockout sheep by CRISPR/Cas9 promotes skeletal muscle myofiber hyperplasia. eLife 2024; 12:RP86827. [PMID: 39365728 PMCID: PMC11452178 DOI: 10.7554/elife.86827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2024] Open
Abstract
Mutations in the well-known Myostatin (MSTN) produce a 'double-muscle' phenotype, which makes it commercially invaluable for improving livestock meat production and providing high-quality protein for humans. However, mutations at different loci of the MSTN often produce a variety of different phenotypes. In the current study, we increased the delivery ratio of Cas9 mRNA to sgRNA from the traditional 1:2 to 1:10, which improves the efficiency of the homozygous mutation of biallelic gene. Here, a MSTNDel73C mutation with FGF5 knockout sheep, in which the MSTN and FGF5 dual-gene biallelic homozygous mutations were produced via the deletion of 3-base pairs of AGC in the third exon of MSTN, resulting in cysteine-depleted at amino acid position 73, and the FGF5 double allele mutation led to inactivation of FGF5 gene. The MSTNDel73C mutation with FGF5 knockout sheep highlights a dominant 'double-muscle' phenotype, which can be stably inherited. Both F0 and F1 generation mutants highlight the excellent trait of high-yield meat with a smaller cross-sectional area and higher number of muscle fibers per unit area. Mechanistically, the MSTNDel73C mutation with FGF5 knockout mediated the activation of FOSL1 via the MEK-ERK-FOSL1 axis. The activated FOSL1 promotes skeletal muscle satellite cell proliferation and inhibits myogenic differentiation by inhibiting the expression of MyoD1, and resulting in smaller myotubes. In addition, activated ERK1/2 may inhibit the secondary fusion of myotubes by Ca2+-dependent CaMKII activation pathway, leading to myoblasts fusion to form smaller myotubes.
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Affiliation(s)
- Ming-Ming Chen
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Yue Zhao
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Kun Yu
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Xue-Ling Xu
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Xiao-Sheng Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Tianjin Academy of Agricultural SciencesTianjinChina
| | - Jin-Long Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Tianjin Academy of Agricultural SciencesTianjinChina
| | - Su-Jun Wu
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Zhi-Mei Liu
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Yi-Ming Yuan
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Xiao-Fei Guo
- Institute of Animal Husbandry and Veterinary Medicine, Tianjin Academy of Agricultural SciencesTianjinChina
| | - Shi-Yu Qi
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Guang Yi
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Shu-Qi Wang
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Huang-Xiang Li
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Ao-Wu Wu
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Guo-Shi Liu
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Shou-Long Deng
- National Center of Technology Innovation for animal model, NHC Key Laboratory of Human Disease Comparative Medicine, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical CollegeBeijingChina
| | - Hong-Bing Han
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Feng-Hua Lv
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
| | - Di Lian
- College of Pulmonary and Critical Care Medicine, Chinese PLA General HospitalBeijingChina
| | - Zheng-Xing Lian
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural UniversityBeijingChina
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30
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Dong X, Liu Y, Chen Y, Ping X, Ren Z, Zhang Y. A chromosome-level genome assembly of Cape hare (Lepus capensis). Sci Data 2024; 11:1081. [PMID: 39362891 PMCID: PMC11449922 DOI: 10.1038/s41597-024-03953-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 09/26/2024] [Indexed: 10/05/2024] Open
Abstract
The Cape hare (Lepus capensis) is among the most widely distributed hare species globally, inhabiting extensive regions across Africa, the Middle East, and Central Asia. However, evolutionary and genetic research on L. capensis was seriously impeded by the absence of a reference genome. Here, we assembled and constructed a chromosome-level genome of L. capensis (with scaffolds anchored to 25 chromosomes and a total assembled length of 2.9 Gb, achieving a contig N50 length of 124.44 Mb) using PacBio HiFi sequencing and Hi-C assembly technology. Evaluation using BUSCO indicated the genome assembly to be 98.2% complete. The de novo prediction revealed that repetitive sequences constitute 46.13% of the entire genome, and long interspersed nuclear elements (LINEs) constituted the largest portion. We annotated a total of 13, 868 protein-coding genes using transcriptomes from two tissues (muscle and skin). This high-quality reference genome serves as a valuable genomic resource for advancing genetic studies in this species.
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Affiliation(s)
- Xianggui Dong
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
| | - Yu Liu
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yuan Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xinxin Ping
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Zhanjun Ren
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yuanyuan Zhang
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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Han PJ, Song L, Wen Z, Zhu HY, Wei YH, Wang JW, Bai M, Luo LJ, Wang JW, Chen SX, You XL, Han DY, Bai FY. Species-level understanding of the bacterial community in Daqu based on full-length 16S rRNA gene sequences. Food Microbiol 2024; 123:104566. [PMID: 39038883 DOI: 10.1016/j.fm.2024.104566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/21/2024] [Accepted: 05/24/2024] [Indexed: 07/24/2024]
Abstract
Daqu is used as the fermentation starter of Baijiu and contributes diversified functional microbes for saccharifying grains and converting sugars into ethanol and aroma components in Baijiu products. Daqu is mainly classified into three types, namely low (LTD), medium (MTD) and high (HTD) temperature Daqu, according to the highest temperatures reached in their fermentation processes. In this study, we used the PacBio small-molecule real-time (SMRT) sequencing technology to determine the full-length 16 S rRNA gene sequences from the metagenomes of 296 samples of different types of Daqu collected from ten provinces in China, and revealed the bacterial diversity at the species level in the Daqu samples. We totally identified 310 bacteria species, including 78 highly abundant species (with a relative abundance >0.1% each) which accounted for 91.90% of the reads from all the Daqu samples. We also recognized the differentially enriched bacterial species in different types of Daqu, and in the Daqu samples with the same type but from different provinces. Specifically, Lactobacillales, Enterobacterales and Bacillaceae were significantly enriched in the LTD, MTD and HTD groups, respectively. The potential co-existence and exclusion relationships among the bacteria species involved in all the Daqu samples and in the LTD, MTD and HTD samples from a specific region were also identified. These results provide a better understanding of the bacterial diversity in different types of Daqu at the species level.
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Affiliation(s)
- Pei-Jie Han
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China; College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Liang Song
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China
| | - Zhang Wen
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China; College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Hai-Yan Zhu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China; College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Yu-Hua Wei
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China; College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Jian-Wei Wang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China; College of Life Science, University of Hebei, Baoding, 071002, PR China
| | - Mei Bai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China; College of Life Science, University of Hebei, Baoding, 071002, PR China
| | - Lu-Jun Luo
- Technology Center, Shanxi Xinghuacun Fen Wine Factory Co. Ltd., Fenyang, 032205, PR China
| | - Ju-Wei Wang
- Jiangsu King's Luck Brewery Joint-Stock Co. Ltd., Lianshui, 223400, PR China
| | - Shen-Xi Chen
- Hubei Key Laboratory of Quality and Safety of Traditional Chinese Medicine Health Food, Jing Brand Co. Ltd., Huangshi, 435100, PR China
| | | | - Da-Yong Han
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China.
| | - Feng-Yan Bai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, PR China; College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, PR China.
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Hu X, Dong C, Zou D, Wei C, Wang Y, Li Z, Duan H, Li Z. Directed differentiation of human embryonic stem cells into conjunctival epithelial cells. Exp Cell Res 2024; 442:114227. [PMID: 39209142 DOI: 10.1016/j.yexcr.2024.114227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 08/23/2024] [Accepted: 08/24/2024] [Indexed: 09/04/2024]
Abstract
Severe conjunctival damage can lead to extensive ocular cicatrisation, fornix shortening, and even ocular surface failure, resulting in significant vision impairment. Conjunctival reconstruction is the primary therapeutic strategy for these clinical conjunctival diseases. However, there have been limited studies on induced differentiation of conjunctival epithelial cells derived from stem cells. In this study, we established a chemical defined differentiation protocol from human embryonic stem cells (hESCs) into conjunctival epithelial cells. hES cell line H1 was used for differentiation, and RT-qPCR, immunofluorescence staining, Periodic-acid-Schiff staining (PAS), and transcriptome analysis were employed to identify the differentiated cells. Here, to imitate the development of the vertebrate conjunctiva, hESCs were induced using a three-step process involving first chetomin was used to induce ocular surface ectoderm, then nicotinamide was used to induce ocular surface epithelial progenitor cells, and finally epidermal growth factor, keratinocyte growth factor and other factors were used to differentiate mature conjunctival epithelial cells. hESC-derived conjunctival epithelial cells expressed mature conjunctival epithelial lineage markers (including PAX6, P63, K13). The presence of goblet cells was confirmed by positive PAS. Transcriptome analysis revealed that hESC-derived conjunctival epithelial cells possessed a more naïve phenotype, and exhibited greater proliferation capacity compared to mature human conjunctival epithelial cells, suggesting their potential as alternative seed cells for conjunctival reconstruction.
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Affiliation(s)
- Xiangyue Hu
- Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, 250000, China; Eye Institute of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, 266071, China
| | - Chunxiao Dong
- Eye Institute of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, 266071, China; Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), Jinan, 250021, China
| | - Dulei Zou
- Eye Institute of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, 266071, China; Eye Institute of Shandong First Medical University, Eye Hospital of Shandong First Medical University (Shandong Eye Hospital), Jinan, 250021, China
| | - Chao Wei
- Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, 250000, China; Eye Institute of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, 266071, China
| | - Yani Wang
- Eye Institute of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, 266071, China
| | - Zongren Li
- 970 Hospital of Chinese PLA Joint Logistic Support Force, Weihai, 264200, China
| | - Haoyun Duan
- Eye Institute of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, 266071, China.
| | - Zongyi Li
- Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, 250000, China; Eye Institute of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, 266071, China.
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Liu T, Liu H, Xian W, Liu Z, Yuan Y, Fan J, Xiang S, Yang X, Liu Y, Liu S, Zhang M, Shen Y, Jiao Y, Cheng S, Doyle JJ, Xie F, Li J, Tian Z. Duplication and sub-functionalization of flavonoid biosynthesis genes plays important role in Leguminosae root nodule symbiosis evolution. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2024; 66:2191-2207. [PMID: 39092779 DOI: 10.1111/jipb.13743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/18/2024] [Accepted: 06/25/2024] [Indexed: 08/04/2024]
Abstract
Gene innovation plays an essential role in trait evolution. Rhizobial symbioses, the most important N2-fixing agent in agricultural systems that exists mainly in Leguminosae, is one of the most attractive evolution events. However, the gene innovations underlying Leguminosae root nodule symbiosis (RNS) remain largely unknown. Here, we investigated the gene gain event in Leguminosae RNS evolution through comprehensive phylogenomic analyses. We revealed that Leguminosae-gain genes were acquired by gene duplication and underwent a strong purifying selection. Kyoto Encyclopedia of Genes and Genomes analyses showed that the innovated genes were enriched in flavonoid biosynthesis pathways, particular downstream of chalcone synthase (CHS). Among them, Leguminosae-gain type Ⅱ chalcone isomerase (CHI) could be further divided into CHI1A and CHI1B clades, which resulted from the products of tandem duplication. Furthermore, the duplicated CHI genes exhibited exon-intron structural divergences evolved through exon/intron gain/loss and insertion/deletion. Knocking down CHI1B significantly reduced nodulation in Glycine max (soybean) and Medicago truncatula; whereas, knocking down its duplication gene CHI1A had no effect on nodulation. Therefore, Leguminosae-gain type Ⅱ CHI participated in RNS and the duplicated CHI1A and CHI1B genes exhibited RNS functional divergence. This study provides functional insights into Leguminosae-gain genetic innovation and sub-functionalization after gene duplication that contribute to the evolution and adaptation of RNS in Leguminosae.
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Affiliation(s)
- Tengfei Liu
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Haiyue Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Key Laboratory of Plant Carbon Capture, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Wenfei Xian
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
- Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, 72076, Germany
| | - Zhi Liu
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Hebei Key Laboratory of Crop Genetics and Breeding, Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shi-jiazhuang, 050035, China
| | - Yaqin Yuan
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingwei Fan
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Shuaiying Xiang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xia Yang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yucheng Liu
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Shulin Liu
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Min Zhang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yanting Shen
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yuannian Jiao
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China
| | - Shifeng Cheng
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Jeff J Doyle
- School of Integrative Plant Science, Sections of Plant Biology and Plant Breeding & Genetics, Cornell University, Ithaca, 14853, New York, USA
| | - Fang Xie
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Key Laboratory of Plant Carbon Capture, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Jiayang Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- Yazhouwan National Laboratory, Sanya, 572024, China
| | - Zhixi Tian
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
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Feng Y, Zhao Y, Ma Y, Chen X, Shi H. Integrative physiological and transcriptome analysis unravels the mechanism of low nitrogen use efficiency in burley tobacco. PLANT DIRECT 2024; 8:e70004. [PMID: 39435449 PMCID: PMC11491304 DOI: 10.1002/pld3.70004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 07/29/2024] [Accepted: 09/02/2024] [Indexed: 10/23/2024]
Abstract
Burley tobacco, a chlorophyll-deficient mutant with impaired nitrogen use efficiency (NUE), generally requires three to five times more nitrogen fertilization than flue-cured tobacco to achieve a comparable yield, which generates serious environmental pollution and negatively affects human health. Therefore, exploring the mechanisms underlying NUE is an effective measure to reduce environmental pollution and an essential direction for burley tobacco plant improvement. Physiological and genetic factors affecting tobacco NUE were identified using two tobacco genotypes with contrasting NUE in hydroponic experiments. Nitrogen use inefficient genotype (TN90) had lower nitrogen uptake and transport efficiencies, reduced leaf and root biomass, lower nitrogen assimilation and photosynthesis capacity, and lower nitrogen remobilization ability than the nitrogen use efficient genotype (K326). Transcriptomic analysis revealed that genes associated with photosynthesis, carbon fixation, and nitrogen metabolism are implicated in NUE. Three nitrate transporter genes in the leaves (NPF2.11, NPF2.13, and NPF3.1) and three nitrate transporter genes (NPF6.3, NRT2.1, and NRT2.4) in roots were down-regulated by nitrogen starvation, all of which showed lower expression in TN90 than in K326. In addition, the protein-protein interaction (PPI) network diagram identified eight key genes (TPIP1, GAPB, HEMB, PGK3, PSBO, PSBP2, PSAG, and GLN2) that may affect NUE. Less advantageous changes in nitrogen uptake, nitrogen assimilation in combination with nitrogen remobilization, and maintenance of photosynthesis in response to nitrogen deficiency led to a lower NUE in TN90. The key genes (TPIP1, GAPB, PGK3, PSBO, PSBP2, PSAG, and GLN2) were associated with improving photosynthesis and nitrogen metabolism in tobacco plants grown under N-deficient conditions.
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Affiliation(s)
- Yuqing Feng
- College of TobaccoHenan Agricultural UniversityZhengzhouChina
| | - Yuanyuan Zhao
- College of TobaccoHenan Agricultural UniversityZhengzhouChina
| | - Yanjun Ma
- Technology CenterShanghai Tobacco Group Beijing Cigarette Factory Co., Ltd.BeijingChina
| | - Xiaolong Chen
- China Tobacco Henan Industrial Co., Ltd.ZhengzhouHenanChina
| | - Hongzhi Shi
- College of TobaccoHenan Agricultural UniversityZhengzhouChina
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Fan F, Jiang G, Lv J, Wang H, Li W, Liu C, Zhao Y, Zhang Z, Du H, Zhang Z, Li X, Li W. Analytical and clinical validation of a NGS panel in detecting targetable variants from ctDNA of metastatic NSCLC patients. Cancer Med 2024; 13:e70078. [PMID: 39385536 PMCID: PMC11464656 DOI: 10.1002/cam4.70078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/15/2024] [Accepted: 07/24/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND Circulating tumor DNA (ctDNA) has emerged as a promising biomarker for noninvasive cancer diagnostics, particularly in the context of metastatic non-small-cell lung cancer (NSCLC). Detecting targetable variants through ctDNA analysis offers the potential to guide treatment decisions, especially in cases where tissue samples are insufficient or unavailable. METHOD In this study, we developed and validated a next-generation sequencing panel targeting 101 cancer-related genes (101-test) to detect somatic variants in ctDNA from a large cohort of Chinese patients with metastatic NSCLC. The performance of the 101-test was assessed by evaluating its limit of detection (LOD), accuracy, and precision in identifying molecular variants. Additionally, the concordance between ctDNA and tissue samples for detecting targetable variants was analyzed in 904 patients. RESULTS The 101-test demonstrated a LOD of 0.38% for single-nucleotide variants (SNVs), 0.33% for insertions and deletions (InDels), and 0.33% for fusions. Sensitivity was 98.3% for SNVs, 100% for InDels, and 100% for fusions when compared to digital droplet PCR (ddPCR)/breakpoint PCR reference methods. The by-variant sensitivity for somatic variants was 97.5%, with a specificity of 99.9% between tumor-only and tumor-normal analyses. In a real-world cohort, the concordance between ctDNA and tissue samples for identifying targetable variants was 72.2% (457/633). Notably, the EGFR S768I variant, recently recommended by clinical guidelines, achieved an 80% concordance rate. Furthermore, 4.3% of patients (27/633) with targetable variants were identified exclusively through ctDNA testing. CONCLUSION The ctDNA-based 101-test is a highly sensitive and specific tool for detecting targetable variants in metastatic NSCLC, particularly in cases with insufficient tissue samples. The findings support the use of ctDNA testing as a reliable and complementary method to traditional tissue-based molecular analysis, enhancing the precision of treatment strategies for NSCLC patients.
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Affiliation(s)
- Feifei Fan
- Department of Respiratory MedicineThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Guozhong Jiang
- Department of PathologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Juan Lv
- Burning Rock BiotechGuangzhouChina
| | - Hongmin Wang
- Department of Respiratory MedicineThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | | | | | - Yu Zhao
- Burning Rock BiotechGuangzhouChina
| | | | | | | | - Xiangnan Li
- Department of Thoracic Surgery and Lung TransplantationThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Wen‐cai Li
- Department of PathologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
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Wang M, Lai Z, Zhang H, Yang W, Zheng F, He D, Liu X, Zhong R, Qahar M, Yang G. Diabetes Mellitus Inhibits Hair Follicle Regeneration by Inducing Macrophage Reprogramming-Mediated Pyroptosis. J Inflamm Res 2024; 17:6781-6796. [PMID: 39372592 PMCID: PMC11451467 DOI: 10.2147/jir.s469239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Accepted: 09/21/2024] [Indexed: 10/08/2024] Open
Abstract
Background Diabetes mellitus (DM) is known to inhibit skin self-renewal and hair follicle stem cell (HFSC) activation, which may be key in the formation of chronic diabetic wounds. This study aimed to investigate the reasons behind the suppression of HFSC activation in DM mice. Methods Type 1 DM (T1DM) was induced in 6-week-old mice via streptozotocin, and hair follicle growth was subsequently monitored. RNA sequencing, bioinformatics analyses, qRT‒PCR, immunostaining, and cellular experiments were carried out to investigate the underlying mechanisms involved. Results T1DM inhibited HFSC activation, which correlated with an increase in caspase-dependent programmed cell death. Additionally, T1DM triggered apoptosis and pyroptosis, predominantly in HFSCs and epidermal regions, with pyroptosis being more pronounced in the inner root sheath of hair follicles. Notably, significant cutaneous immune imbalances were observed, particularly in macrophages. Cellular experiments demonstrated that M1 macrophages inhibited HaCaT cell proliferation and induced cell death, whereas high-glucose environments alone did not have the same effect. Conclusion T1DM inhibits HFSC activation via macrophage reprogramming-mediated caspase-dependent pyroptosis, and there is a significant regional characterization of cell death. Moreover, T1DM-induced programmed cell death in the skin may be more closely related to immune homeostasis imbalance than to hyperglycemia itself. These findings shed light on the pathogenesis of diabetic ulcers and provide a theoretical basis for the use of hair follicle grafts in wound repair.
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Affiliation(s)
- Minghui Wang
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, 518036, People’s Republic of China
| | - Zhiwei Lai
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, 518036, People’s Republic of China
| | - Hua Zhang
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, 518036, People’s Republic of China
| | - Weiqi Yang
- Department of Burn and Plastic Surgery, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, People’s Republic of China
| | - Fengping Zheng
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, 518036, People’s Republic of China
| | - Dehua He
- Department of Burn and Plastic Surgery, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, People’s Republic of China
| | - Xiaofang Liu
- Department of Burn and Plastic Surgery, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, People’s Republic of China
| | - Rong Zhong
- Department of Burn and Plastic Surgery, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, People’s Republic of China
| | - Mulan Qahar
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, 518036, People’s Republic of China
- Department of Burn and Plastic Surgery, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, People’s Republic of China
| | - Guang Yang
- Division of Renal Medicine, Peking University Shenzhen Hospital, Peking University, Shenzhen, 518036, People’s Republic of China
- Department of Burn and Plastic Surgery, Shenzhen Institute of Translational Medicine, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, People’s Republic of China
- Department of Life Sciences, Yuncheng University, Yuncheng, 044011, People’s Republic of China
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Lu J, Liu Y, Li H. Identification of key lncRNAs and mRNAs in muscle development pathways of Tan sheep. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2024; 52:101336. [PMID: 39378789 DOI: 10.1016/j.cbd.2024.101336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 09/23/2024] [Accepted: 09/25/2024] [Indexed: 10/10/2024]
Abstract
The study aimed to identify the long noncoding RNA (lncRNA) responsible for regulating muscle development in Tan sheep. RNA-seq analysis was conducted on longissimus dorsi samples from 1-day-old and 60-day-old Tan sheep to investigate the molecular processes involved in muscle development. A total of 5517 lncRNAs and 2885 mRNAs were found to be differentially expressed in the 60-day-old Tan sheep. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that these differentially expressed lncRNAs and mRNAs were linked to pathways crucial for muscle development, such as MAPK, cAMP, and calcium-mediated signaling pathways. Key genes like CDKN1A, MAPK14, TGFB1, MEF2C, MYOD1, and CD53 were identified as significant players in muscle development. The study validated the RNA-seq results through RT-qPCR, confirming the consistency of expression levels of differentially expressed lncRNAs and mRNAs. These findings indicate that lncRNA-mRNA networks produce a remarked effect on modulating muscle development in Tan sheep, such as lncRNAs (MSTRG.12808.1/MSTRG.22662.3/MSTRG.18310.1) and mRNAs (MSTRG.10027/MSTRG.10029/MSTRG.10258/MSTRG.11011/MSTRG.10354), laying the groundwork for future research in this area.
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Affiliation(s)
- Jiawei Lu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Yilan Liu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Huixia Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
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Wei X, Zhang M, Min R, Jiang Z, Xue J, Zhu Z, Yuan H, Li X, Zhao D, Cao P, Liu F, Dai Q, Feng X, Yang R, Wu X, Hu C, Ma M, Liu X, Wan Y, Yang F, Zhou R, Kang L, Dong G, Ping W, Wang T, Miao B, Bai F, Zheng Y, Liu Y, Yang MA, Wang W, Bennett EA, Fu Q. Neolithic to Bronze Age human maternal genetic history in Yunnan, China. J Genet Genomics 2024:S1673-8527(24)00251-0. [PMID: 39343094 DOI: 10.1016/j.jgg.2024.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 09/23/2024] [Accepted: 09/23/2024] [Indexed: 10/01/2024]
Abstract
Yunnan in southwest China is a geographically and ethnically complex region at the intersection of southern China and Southeast Asia, and a focal point for human migrations. To clarify its maternal genetic history, we generated 152 complete mitogenomes from 17 Yunnan archaeological sites. Our results reveal distinct genetic histories segregated by geographical regions. Maternal lineages of ancient populations from northwestern and northern Yunnan exhibit closer affinities with past and present-day populations from northern East Asia and Tibet, providing important genetic evidence for the migration and interaction of populations along the Tibetan-Yi corridor since the Neolithic. Between 5500 to 1800 years ago, central Yunnan populations maintained their internal genetic relationships, including a 7000-year-old basal lineage of the rare and widely dispersed haplogroup M61. At the Xingyi site, changes in mitochondrial DNA haplogroups occurred between the Late Neolithic and Bronze Age, with haplogroups shifting from those predominant in the Yellow River region to those predominant in coastal southern China. These results highlight the high diversity of Yunnan populations during the Neolithic to Bronze Age.
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Affiliation(s)
- Xinyu Wei
- China-Central Asia "the Belt and Road" Joint Laboratory on Human and Environment Research, Key Laboratory of Cultural Heritage Research and Conservation, School of Cultural Heritage, Northwest University, Xi'an, Shaanxi 710127, China; Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Ming Zhang
- China-Central Asia "the Belt and Road" Joint Laboratory on Human and Environment Research, Key Laboratory of Cultural Heritage Research and Conservation, School of Cultural Heritage, Northwest University, Xi'an, Shaanxi 710127, China; Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Rui Min
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Zhilong Jiang
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Jiayang Xue
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Zhonghua Zhu
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Haibing Yuan
- Center for Archaeological Science, Sichuan University, Chengdu, Sichuan 610064, China
| | - Xiaorui Li
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Dongyue Zhao
- China-Central Asia "the Belt and Road" Joint Laboratory on Human and Environment Research, Key Laboratory of Cultural Heritage Research and Conservation, School of Cultural Heritage, Northwest University, Xi'an, Shaanxi 710127, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Qingyan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Xiaotian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Ruowei Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Xiaohong Wu
- School of Archaeology and Museology, Peking University, Beijing 100871, China
| | - Changcheng Hu
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Minmin Ma
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, Gansu 730000, China
| | - Xu Liu
- Yunnan Museum, Kunming, Yunnan 650206, China
| | - Yang Wan
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Fan Yang
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Ranchao Zhou
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Lihong Kang
- Yunnan Institute of Cultural Relics and Archaeology, Kunming, Yunnan 650118, China
| | - Guanghui Dong
- Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, Gansu 730000, China
| | - Wanjing Ping
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Tianyi Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Bo Miao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Fan Bai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yuxin Zheng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China
| | - Yuxiao Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; Sino-Danish Center, University of the Chinese Academy of Sciences, Beijing 100049, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Melinda A Yang
- Department of Biology, University of Richmond, Richmond, VA 23173, USA.
| | - Wenjun Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; Science and Technology Archaeology, National Centre for Archaeology, Beijing 100013, China.
| | - E Andrew Bennett
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China.
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; University of the Chinese Academy of Sciences, Beijing 100049, China.
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Cheng J, Zhang Y, Xia L, Yang F, Ge D, Peng X, Yang Q. De novo genome of thick-tailed pygmy jerboa Salpingotus crassicauda, Cardiocraniinae, Dipodidae. Sci Data 2024; 11:1041. [PMID: 39333133 PMCID: PMC11436634 DOI: 10.1038/s41597-024-03905-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 09/19/2024] [Indexed: 09/29/2024] Open
Abstract
Pygmy jerboas are one of the smallest taxa of rodents. They exhibit distinctly different morphological and biological characteristics from other subfamilies, such as more restricted distribution, species richness, reproductive ability, and population size. Agricultural expansion and the development of new energy projects in recent years lead to sharp decline of their natural populations. Here, we assembled and annotated the first reference genome for the subfamily Cardiocraniinae using Illunima and Nanopore sequencing from the thick-tailed pygmy jerboa, Salpingotus crassicauda. The final genome is 2.44 Gb in size, with a contig N50 length of 13.71 Mb and a BUSCO completeness of 96.35%. A total of 23,344 protein-coding genes were annotated in the final genome. We also determined the mitochondrial genome of this species and annotated 13 protein-coding genes, 22 tRNAs, and 2 rRNA. These genomic assemblies provide resources in studying phylogeny and adaptive evolution of Dipodidae, as well as implementing conservation management of jerboas.
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Affiliation(s)
- Jilong Cheng
- Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China.
| | - Yu Zhang
- Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Huairou District, Beijing, 101408, China
| | - Lin Xia
- Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China
| | - Fangyuan Yang
- Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China
| | - Deyan Ge
- Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China
| | - Xingwen Peng
- Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China
- Central South Academy of Inventory and Planning of NFGA, Yuhua District, Changsha, 410000, China
| | - Qisen Yang
- Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China.
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Liu Y, Zhu Q, Wang Z, Zheng H, Zheng X, Ling P, Tang M. Integrative Analysis of Transcriptome and Metabolome Reveals the Pivotal Role of the NAM Family Genes in Oncidium hybridum Lodd. Pseudobulb Growth. Int J Mol Sci 2024; 25:10355. [PMID: 39408686 PMCID: PMC11476975 DOI: 10.3390/ijms251910355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 09/14/2024] [Accepted: 09/24/2024] [Indexed: 10/20/2024] Open
Abstract
Oncidium hybridum Lodd. is an important ornamental flower that is used as both a cut flower and a potted plant around the world; additionally, its pseudobulbs serve as essential carriers for floral organs and flower development. The NAM gene family is crucial for managing responses to various stresses as well as regulating growth in plants. However, the mechanisms by which NAM genes regulate the development of pseudobulbs remain unclear. In this study, a total of 144 NAM genes harboring complete structural domains were identified in O. hybridum. The 144 NAM genes were systematically classified into 14 distinct subfamilies via phylogenetic analysis. Delving deeper into the conserved motifs revealed that motifs 1-6 exhibited remarkable conservation, while motifs 7-10 presented in a few NAM genes only. Notably, NAM genes sharing identical specific motifs were classified into the same subfamily, indicating functional relatedness. Furthermore, the examination of occurrences of gene duplication indicated that the NAM genes display 16 pairs of tandem duplications along with five pairs of segmental duplications, suggesting their role in genetic diversity and potential adaptive evolution. By conducting a correlation analysis integrating transcriptomics and metabolomics at four stages of pseudobulb development, we found that OhNAM023, OhNAM030, OhNAM007, OhNAM019, OhNAM083, OhNAM047, OhNAM089, and OhNAM025 exhibited significant relationships with the endogenous plant hormones jasmonates (JAs), hinting at their potential involvement in hormonal signaling. Additionally, OhNAM089, OhNAM025, OhNAM119, OhNAM055, and OhNAM136 showed strong links with abscisic acid (ABA) and abscisic acid glucose ester (ABA-GE), suggesting the possible regulatory function of these NAM genes in plant growth and stress responses. The 144 NAM genes identified in this study provide a basis for subsequent research and contribute to elucidating the intricate molecular mechanisms of NAM genes in Oncidium and potentially in other species.
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Affiliation(s)
| | | | | | | | | | - Peng Ling
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), Collaborative Innovation Center, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Y.L.); (Q.Z.); (Z.W.); (H.Z.); (X.Z.)
| | - Minqiang Tang
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), Collaborative Innovation Center, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Y.L.); (Q.Z.); (Z.W.); (H.Z.); (X.Z.)
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41
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Miao K, Wang Y, Hou L, Liu Y, Liu H, Ji Y. Haplotype-resolved genome assembly of the upas tree (Antiaris toxicaria). Sci Data 2024; 11:1011. [PMID: 39294147 PMCID: PMC11410980 DOI: 10.1038/s41597-024-03860-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 09/04/2024] [Indexed: 09/20/2024] Open
Abstract
The upas tree (Antiaris toxicaria Lesch.) is a medically important plant that contains various specialized metabolites with significant bioactivity. The lack of a reference genome hinders the in-depth study as well as rational exploitation and conservation of this plant. Here, we present the first holotype-resolved chromosome-scale genome of the upas tree. The assembled genome consisted of 26 chromosomes that contain 1.34 Gb of sequencing data with a contig N50 length of 60 Mb. Genome annotation identified 43,500 protein-coding genes in the upas tree genome, of which 98.75% were functionally annotated. This high-quality reference genome will lay the foundation for further studies on the evolution and functional genomics of the upas tree.
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Affiliation(s)
- Ke Miao
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650201, China
| | - Ya Wang
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
| | - Luxiao Hou
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650201, China
| | - Yan Liu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650201, China
| | - Haiyang Liu
- State Key Laboratory of Phytochemistry and Natural Medicine, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
| | - Yunheng Ji
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
- State Key Laboratory of Phytochemistry and Natural Medicine, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Population, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
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42
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Wang L, Liu WQ, Du J, Li M, Wu RF, Li M. Comparative DNA methylation reveals epigenetic adaptation to high altitude in snub-nosed monkeys. Zool Res 2024; 45:1013-1026. [PMID: 39147716 PMCID: PMC11491775 DOI: 10.24272/j.issn.2095-8137.2024.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 04/25/2024] [Indexed: 08/17/2024] Open
Abstract
DNA methylation plays a crucial role in environmental adaptations. Here, using whole-genome bisulfite sequencing, we generated comprehensive genome-wide DNA methylation profiles for the high-altitude Yunnan snub-nosed monkey ( Rhinopithecus bieti) and the closely related golden snub-nosed monkey ( R. roxellana). Our findings indicated a slight increase in overall DNA methylation levels in golden snub-nosed monkeys compared to Yunnan snub-nosed monkeys, suggesting a higher prevalence of hypermethylated genomic regions in the former. Comparative genomic methylation analysis demonstrated that genes associated with differentially methylated regions were involved in membrane fusion, vesicular formation and trafficking, hemoglobin function, cell cycle regulation, and neuronal differentiation. These results suggest that the high-altitude-related epigenetic modifications are extensive, involving a complete adaptation process from the inhibition of single Ca 2+ channel proteins to multiple proteins collaboratively enhancing vesicular function or inhibiting cell differentiation and proliferation. Functional assays demonstrated that overexpression or down-regulation of candidate genes, such as SNX10, TIMELESS, and CACYBP, influenced cell viability under stress conditions. Overall, this research suggests that comparing DNA methylation across closely related species can identify novel candidate genomic regions and genes associated with local adaptations, thereby deepening our understanding of the mechanisms underlying environmental adaptations.
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Affiliation(s)
- Ling Wang
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei-Qiang Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Juan Du
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Meng Li
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Rui-Feng Wu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ming Li
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China. E-mail:
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Wang X, Liu Q, Zhuang Z, Cheng J, Zhang W, Jiang Q, Guo Y, Li R, Lu X, Cui L, Weng J, Tang Y, Yue J, Gao S, Hong K, Qiao J, Jiang H, Guo J, Zhang Z. Decoding the pathogenesis of spermatogenic failure in cryptorchidism through single-cell transcriptomic profiling. Cell Rep Med 2024; 5:101709. [PMID: 39226895 PMCID: PMC11528238 DOI: 10.1016/j.xcrm.2024.101709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 06/20/2024] [Accepted: 08/08/2024] [Indexed: 09/05/2024]
Abstract
Cryptorchidism, commonly known as undescended testis, affects 1%-9% of male newborns, posing infertility and testis tumor risks. Despite its prevalence, the detailed pathophysiology underlying male infertility within cryptorchidism remains unclear. Here, we profile and analyze 46,644 single-cell transcriptomes from individual testicular cells obtained from adult males diagnosed with cryptorchidism and healthy controls. Spermatogenesis compromise in cryptorchidism links primarily to spermatogonium self-renewal and differentiation dysfunctions. We illuminate the involvement of testicular somatic cells, including immune cells, thereby unveiling the activation and degranulation of mast cells in cryptorchidism. Mast cells are identified as contributors to interstitial fibrosis via transforming growth factor β1 (TGF-β1) and cathepsin G secretion. Furthermore, significantly increased levels of secretory proteins indicate mast cell activation and testicular fibrosis in the seminal plasma of individuals with cryptorchidism compared to controls. These insights serve as valuable translational references, enriching our comprehension of testicular pathogenesis and informing more precise diagnosis and targeted therapeutic strategies for cryptorchidism.
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Affiliation(s)
- Xiaoyan Wang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Qiang Liu
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Ziyan Zhuang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; University of the Chinese Academy of Sciences, Beijing, China
| | - Jianxing Cheng
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Wenxiu Zhang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; University of the Chinese Academy of Sciences, Beijing, China
| | - Qiaoling Jiang
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Yifei Guo
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; University of the Chinese Academy of Sciences, Beijing, China
| | - Ran Li
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; University of the Chinese Academy of Sciences, Beijing, China
| | - Xiaojian Lu
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; University of the Chinese Academy of Sciences, Beijing, China
| | - Lina Cui
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; University of the Chinese Academy of Sciences, Beijing, China
| | - Jiaming Weng
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Yanlin Tang
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Jingwei Yue
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Songzhan Gao
- Department of Andrology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Hong
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Jie Qiao
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Hui Jiang
- Department of Urology, Peking University Third Hospital, Beijing, China; Department of Urology, Institute of Urology, Peking University First Hospital, Beijing, China.
| | - Jingtao Guo
- Key Laboratory of Organ Regeneration and Reconstruction, State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China; University of the Chinese Academy of Sciences, Beijing, China.
| | - Zhe Zhang
- State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China; Department of Urology, Peking University Third Hospital, Beijing, China.
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Lv Y, Zhen C, Liu A, Hu Y, Yang G, Xu C, Lou Y, Cheng Q, Luo Y, Yu J, Fang Y, Zhao H, Peng K, Yu Y, Lou J, Chen J, Ni Y. Profiles and interactions of gut microbiome and intestinal microRNAs in pediatric Crohn's disease. mSystems 2024; 9:e0078324. [PMID: 39150251 PMCID: PMC11406922 DOI: 10.1128/msystems.00783-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 06/26/2024] [Indexed: 08/17/2024] Open
Abstract
Gut dysbiosis is closely related to dysregulated microRNAs (miRNAs) in the intestinal epithelial cells, which plays an important role in the pathogenesis of Crohn's disease (CD). We investigated the relationship between fecal gut microbiome (GM) and intestinal tissue miRNAs in different stages of pediatric CD. Metagenomic analysis and miRNA sequencing were conducted to examine the GM and intestinal miRNA profiles of CD patients before and after clinical induction therapy and the controls. Twenty-seven newly diagnosed, therapy-naïve pediatric patients with active CD and 11 non-inflammatory bowel disease (IBD) controls were recruited in this study. Among CD patients, 11 patients completed induction treatment and reached clinical remission. Both GM and miRNA profiles were significantly changed between CD patients and controls. Seven key bacteria were identified at species level including Defluviitalea raffinosedens, Thermotalea metallivorans, Roseburia intestinalis, Dorea sp. AGR2135, Escherichia coli, Shigella sonnei, and Salmonella enterica, the exact proportions of which were further validated by real-time quantitative PCR analysis. Eight key miRNAs were also identified including hsa-miR-215-5p, hsa-miR-194-5p, hsa-miR-12135, hsa-miR-509-3-5p, hsa-miR-212-5p, hsa-miR-4448, hsa-miR-501-3p, and hsa-miR-503-5p. The functional enrichment analysis of differential miRNAs indicated the significantly altered cyclin protein, cyclin-dependent protein, and cell cycle pathway. The close interactions between seven key bacteria and eight key miRNAs were further investigated by miRNA target prediction. The association between specific miRNA expressions and key gut bacteria at different stages of CD supported their important roles as potential molecular biomarkers. Understanding the relationship between them will help us to explore the molecular mechanisms of CD. IMPORTANCE Since previous studies have focused on the change of the fecal gut microbiome and intestinal tissue miRNA in pediatric Crohn's disease (CD), the relationship between them in different stages is still not clear. This is the first study to explore the gut microbiota and miRNA and their correlations with the Pediatric Crohn's Disease Activity Index (PCDAI). Crohn's Disease Endoscopic Index of Severity (CDEIS), and calprotectin, by applying two omics approach in three different groups (active CD, CD in remission with exclusive enteral nutrition or infliximab induction therapy, and the healthy controls). Both gut microbiome structure and the miRNA profiles were significantly changed in the different stage of CD. Seven key gut microbiome at species and eight key miRNAs were found, and their close interactions were further fully investigated by miRNA target prediction.
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Affiliation(s)
- Yao Lv
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Changjun Zhen
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ana Liu
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yudie Hu
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Gan Yang
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Cuifang Xu
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yue Lou
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Qi Cheng
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Youyou Luo
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jindan Yu
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Youhong Fang
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Hong Zhao
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Kerong Peng
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yu Yu
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jingan Lou
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jie Chen
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yan Ni
- Gastroenterology Department, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
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Zhu X, Jia M, Zi D, Zhou P, Du Y, Wang N, Dai H, Wang G, Bai Y. Biochar regulates the functions of keystone taxa to reduce p-coumaric acid accumulation in soil. Front Microbiol 2024; 15:1458185. [PMID: 39328907 PMCID: PMC11425655 DOI: 10.3389/fmicb.2024.1458185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 08/28/2024] [Indexed: 09/28/2024] Open
Abstract
Introduction Applying biochar (BC) to reduce toxic substance accumulation in soil, either through direct adsorption or modulation of the microbial community, has received considerable attention. However, a knowledge gap exists regarding how BC regulates microbial community structure and functions to mitigate toxic substance accumulation. Methods We previously identified p-coumaric acid (p-CA) as a representative autotoxin in tobacco rhizosphere soil. On this basis, this study simulated a soil environment with p-CA accumulation to investigate the impacts of BC on p-CA, soil physicochemical properties, and microbial community structure and function. Results The results showed that p-CA could be directly adsorbed onto BC, which followed the pseudo-second-order kinetic model (R 2 = 0.996). A pot experiment revealed that BC significantly reduced soil p-CA, altered soil microbial composition, and enhanced bacterial community diversity. A weighted correlation network analysis showed a close association between taxon 1 in the microbial network and p-CA, suggesting a pivotal role for this taxon in reducing p-CA, with Devosia and Nocardioides identified as potential key contributors to this process. The prediction of possible keystone taxa functions showed that BC increased the relative abundances of aromatic compound degraders. Mantel tests indicated that soil organic matter exerted the greatest influence on keystone taxa functions and hub genera. Discussion These findings suggest that BC may either directly chemisorb p-CA or indirectly facilitate p-CA degradation by regulating the functioning of keystone taxa. The results of this study provide a novel perspective for further investigation of the mechanisms through which BC reduces the accumulation of toxic substances in soil.
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Affiliation(s)
- Xuanquan Zhu
- College of Tobacco Science, Yunnan Agricultural University, Kunming, China
| | - Meng Jia
- College of Tobacco Science, Yunnan Agricultural University, Kunming, China
| | - Dingchun Zi
- College of Tobacco Science, Yunnan Agricultural University, Kunming, China
| | - Peng Zhou
- College of Tobacco Science, Yunnan Agricultural University, Kunming, China
| | - Yu Du
- College of Tobacco Science, Yunnan Agricultural University, Kunming, China
| | - Na Wang
- College of Tobacco Science, Yunnan Agricultural University, Kunming, China
| | - Huijuan Dai
- China Tobacco Hebei Industrial Co., Ltd., Shijiazhuang, China
| | - Ge Wang
- College of Tobacco Science, Yunnan Agricultural University, Kunming, China
| | - Yuxiang Bai
- College of Tobacco Science, Yunnan Agricultural University, Kunming, China
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Zheng W, Fan X, Chen H, Ye M, Yin C, Wu C, Liang Y. The response patterns of r- and K-strategist bacteria to long-term organic and inorganic fertilization regimes within the microbial food web are closely linked to rice production. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 942:173681. [PMID: 38844210 DOI: 10.1016/j.scitotenv.2024.173681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/11/2024]
Abstract
Soil microbial food web is crucial for maintaining crop production, while its community structure varies among fertilization regimes. Currently, the mechanistic understanding of the relationships between microbial food web and crop production under various nutrient fertilizations is poor. This knowledge gap limits our capacity to achieve precision agriculture for ensuring yield stability. In this study, we investigated the abiotic (i.e., soil chemical properties) and biotic factors (i.e., microbial food web, including bacteria, fungi, archaea and nematodes) that were closely associated with rice (Oryza sativa L.) production, using soils from seven fertilization regimes in distinct sampling locations (i.e., bulk vs rhizosphere soil) at a long-term experimental site. Organic manure alone fertilization (M) and integrated fertilization (NPKM) combining manure with inorganic fertilizers increased soil pH by 0.21-0.41 units and organic carbon content by 49.1 %-65.2 % relative to the non-fertilization (CK), which was distinct with inorganic fertilization. The principal coordinate analysis (PCoA) revealed that soil microbial and nematode communities were primarily shaped by fertilization rather than sampling locations. Organic fertilization (M, NPKM) increased the relative abundance of both r-strategist bacteria, specific taxa within the fungal (i.e., Pezizales) and nematode communities (i.e., omnivores-predators), whereas inorganic fertilization increased K-strategist bacteria abundances relative to the CK. Correspondingly, network analysis showed that the keystone taxa in the amplicon sequence variants (ASVs) enriched by organic manure and inorganic fertilization were mainly affiliated with r- and K-strategist bacteria, respectively. Structural equation modeling (SEM) analysis found that r- and K-strategist bacteria were positively correlated with rice production under organic and inorganic fertilization, respectively. Our results demonstrate that the response patterns of r/K-strategists to nutrient fertilization largely regulate rice yield, suggesting that the enhanced soil fertility and r-strategists contribute to the highest crop production in NPKM fertilization.
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Affiliation(s)
- Wanning Zheng
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Xiaoping Fan
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Hao Chen
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Mujun Ye
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Chang Yin
- Institute of Environment, Resource, Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Chunyan Wu
- Institute of Environment, Resource, Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Yongchao Liang
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China.
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Wei B, Cheng G, Bi Q, Lu C, Sun Q, Li L, Chen N, Hu M, Lu H, Xu X, Mao G, Wan S, Hu Z, Gu Y, Zheng J, Zhao L, Shen XZ, Liu X, Shi P. Microglia in the hypothalamic paraventricular nucleus sense hemodynamic disturbance and promote sympathetic excitation in hypertension. Immunity 2024; 57:2030-2042.e8. [PMID: 39116878 DOI: 10.1016/j.immuni.2024.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 04/22/2024] [Accepted: 07/16/2024] [Indexed: 08/10/2024]
Abstract
Hypertension is usually accompanied by elevated sympathetic tonicity, but how sympathetic hyperactivity is triggered is not clear. Recent advances revealed that microglia-centered neuroinflammation contributes to sympathetic excitation in hypertension. In this study, we performed a temporospatial analysis of microglia at both morphological and transcriptomic levels and found that microglia in the hypothalamic paraventricular nucleus (PVN), a sympathetic center, were early responders to hypertensive challenges. Vasculature analyses revealed that the PVN was characterized by high capillary density, thin vessel diameter, and complex vascular topology relative to other brain regions. As such, the PVN was susceptible to the penetration of ATP released from the vasculature in response to hemodynamic disturbance after blood pressure increase. Mechanistically, ATP ligation to microglial P2Y12 receptor was responsible for microglial inflammatory activation and the eventual sympathetic overflow. Together, these findings identified a distinct vasculature pattern rendering vulnerability of PVN pre-sympathetic neurons to hypertension-associated microglia-mediated inflammatory insults.
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Affiliation(s)
- Bo Wei
- Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Guo Cheng
- Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Qianqian Bi
- Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Cheng Lu
- Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Qihang Sun
- Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Li Li
- Department of Pharmacy, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou 310013, China
| | - Ningting Chen
- Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Miner Hu
- Department of Cardiology of the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310013, China
| | - Haoran Lu
- Zhejiang University, University of Edinburgh Institute, Zhejiang University School of Medicine, Haining 314400, China
| | - Xuancheng Xu
- Zhejiang Chinese Medical University, Hangzhou 310013, China; Department of Neurology, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou 310013, China
| | - Genxiang Mao
- Zhejiang Provincial Key Lab of Geriatrics, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Shu Wan
- Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou 310013, China
| | - Zhechun Hu
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310058, China; Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yan Gu
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310058, China; Department of Neurology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaxin Zheng
- Key Laboratory for Biomedical Engineering of Ministrey of Education, Collage of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310013, China
| | - Li Zhao
- Key Laboratory for Biomedical Engineering of Ministrey of Education, Collage of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310013, China
| | - Xiao Z Shen
- Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China; Brain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou 310013, China; Department of Physiology, Zhejiang University School of Medicine, Hangzhou 310058, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310013, China
| | - Xiaoli Liu
- Department of Neurology, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou 310013, China.
| | - Peng Shi
- Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China; State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310013, China.
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Xu S, He X, Trinh DC, Zhang X, Wu X, Qiu D, Zhou M, Xiang D, Roeder AHK, Hamant O, Hong L. A 3-component module maintains sepal flatness in Arabidopsis. Curr Biol 2024; 34:4007-4020.e4. [PMID: 39146940 DOI: 10.1016/j.cub.2024.07.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/05/2024] [Accepted: 07/17/2024] [Indexed: 08/17/2024]
Abstract
As in origami, morphogenesis in living systems heavily relies on tissue curving and folding through the interplay between biochemical and biomechanical cues. By contrast, certain organs maintain their flat posture over several days. Here, we identified a pathway that is required for the maintenance of organ flatness, taking the sepal, the outermost floral organ, in Arabidopsis as a model system. Through genetic, cellular, and mechanical approaches, our results demonstrate that the global gene expression regulator VERNALIZATION INDEPENDENCE 4 (VIP4) fine-tunes the mechanical properties of sepal cell walls and maintains balanced growth on both sides of the sepals, mainly by orchestrating the distribution pattern of AUXIN RESPONSE FACTOR 3 (ARF3). vip4 mutation results in softer cell walls and faster cell growth on the adaxial sepal side, which eventually cause sepals to bend outward. Downstream of VIP4, ARF3 works through modulating auxin to downregulate pectin methylesterase VANGUARD1, resulting in decreased cell wall stiffness. Thus, our work unravels a 3-component module that relates hormonal patterns to organ curvature and actively maintains sepal flatness during its growth.
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Affiliation(s)
- Shouling Xu
- Key Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Zhejiang Province, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Xi He
- Key Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Zhejiang Province, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Duy-Chi Trinh
- Laboratoire de Reproduction et Développement des Plantes, Université de Lyon, ENS de Lyon, UCBL, CNRS, 46 Allee d'Italie, 69364 Lyon Cedex 07, France; University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology (VAST), 18 Hoang Quoc Viet, Cau Giay, Ha Noi 11355, Vietnam
| | - Xinyu Zhang
- Laboratoire de Reproduction et Développement des Plantes, Université de Lyon, ENS de Lyon, UCBL, CNRS, 46 Allee d'Italie, 69364 Lyon Cedex 07, France; Cell and Developmental Biology Department, John Innes Centre, Norwich NR4 7UH, UK
| | - Xiaojiang Wu
- Key Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Zhejiang Province, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China; The Advanced Seed Institute, National Key Laboratory of Rice Breeding and Biology, Zhejiang Provincial Key Laboratory of Crop Germplasm, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Dengying Qiu
- Key Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Zhejiang Province, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Ming Zhou
- State Key Laboratory of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Dan Xiang
- Key Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Zhejiang Province, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Adrienne H K Roeder
- Weill Institute for Cell and Molecular Biology and Section of Plant Biology, School of Integrative Plant Sciences, Cornell University, Ithaca, NY 14853, USA
| | - Olivier Hamant
- Laboratoire de Reproduction et Développement des Plantes, Université de Lyon, ENS de Lyon, UCBL, CNRS, 46 Allee d'Italie, 69364 Lyon Cedex 07, France.
| | - Lilan Hong
- Key Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Zhejiang Province, Institute of Nuclear Agricultural Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
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Zhang K, Wang P, Huang W, Tang SH, Xue H, Wu H, Zhang Y, Rong Y, Dong SS, Chen JB, Zou Y, Tian D, Yang N, Liang Y, Liu C, Li D, Zhang K, Yang TL, Guo Y. Integrated landscape of plasma metabolism and proteome of patients with post-traumatic deep vein thrombosis. Nat Commun 2024; 15:7831. [PMID: 39244606 PMCID: PMC11380666 DOI: 10.1038/s41467-024-52262-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/02/2024] [Indexed: 09/09/2024] Open
Abstract
Deep vein thrombosis (DVT) is a leading cause of morbidity and mortality after trauma. Here, we integrate plasma metabolomics and proteomics to evaluate the metabolic alterations and their function in up to 680 individuals with and without DVT after trauma (pt-DVT). We identify 28 metabolites and 2 clinical parameter clusters associated with pt-DVT. Then, we develop a panel of 9 metabolites (hexadecanedioic acid, pyruvic acid, L-Carnitine, serotonin, PE(P-18:1(11Z)/18:2(9Z,12Z)), 3-Hydroxycapric acid, 5,6-DHET, 3-Methoxybenzenepropanoic acid and pentanenitrile) that can predict pt-DVT with high performance, which can be verified in an independent cohort. Furthermore, the integration analysis of metabolomics and proteomics data indicates that the upregulation of glycolysis/gluconeogenesis-TCA cycle may promote thrombosis by regulating ROS levels in red blood cells, suggesting that interfering with this process might be potential therapeutic strategies for pt-DVT. Together, our study comprehensively delineates the metabolic and hematological dysregulations for pt-DVT, and provides potential biomarkers for early detection.
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Affiliation(s)
- Kun Zhang
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Pengfei Wang
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Wei Huang
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Shi-Hao Tang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Hanzhong Xue
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Hao Wu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Ying Zhang
- Instrument Analysis Center, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Yu Rong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Shan-Shan Dong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Jia-Bin Chen
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Yan Zou
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Ding Tian
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Na Yang
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Yifan Liang
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Chungui Liu
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Dongyang Li
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China
| | - Kun Zhang
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China.
| | - Tie-Lin Yang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China.
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China.
| | - Yan Guo
- Department of Trauma Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China.
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China.
- Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China.
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Xue Y, Liu L, Zhang Y, He Y, Wang J, Ma Z, Li TJ, Zhang J, Huang Y, Gao YQ. Unraveling the key role of chromatin structure in cancer development through epigenetic landscape characterization of oral cancer. Mol Cancer 2024; 23:190. [PMID: 39243015 PMCID: PMC11378415 DOI: 10.1186/s12943-024-02100-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 08/23/2024] [Indexed: 09/09/2024] Open
Abstract
Epigenetic alterations, such as those in chromatin structure and DNA methylation, have been extensively studied in a number of tumor types. But oral cancer, particularly oral adenocarcinoma, has received far less attention. Here, we combined laser-capture microdissection and muti-omics mini-bulk sequencing to systematically characterize the epigenetic landscape of oral cancer, including chromatin architecture, DNA methylation, H3K27me3 modification, and gene expression. In carcinogenesis, tumor cells exhibit reorganized chromatin spatial structures, including compromised compartment structures and altered gene-gene interaction networks. Notably, some structural alterations are observed in phenotypically non-malignant paracancerous but not in normal cells. We developed transformer models to identify the cancer propensity of individual genome loci, thereby determining the carcinogenic status of each sample. Insights into cancer epigenetic landscapes provide evidence that chromatin reorganization is an important hallmark of oral cancer progression, which is also linked with genomic alterations and DNA methylation reprogramming. In particular, regions of frequent copy number alternations in cancer cells are associated with strong spatial insulation in both cancer and normal samples. Aberrant methylation reprogramming in oral squamous cell carcinomas is closely related to chromatin structure and H3K27me3 signals, which are further influenced by intrinsic sequence properties. Our findings indicate that structural changes are both significant and conserved in two distinct types of oral cancer, closely linked to transcriptomic alterations and cancer development. Notably, the structural changes remain markedly evident in oral adenocarcinoma despite the considerably lower incidence of genomic copy number alterations and lesser extent of methylation alterations compared to squamous cell carcinoma. We expect that the comprehensive analysis of epigenetic reprogramming of different types and subtypes of primary oral tumors can provide additional guidance to the design of novel detection and therapy for oral cancer.
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Affiliation(s)
- Yue Xue
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
| | - Lu Liu
- Changping Laboratory, Beijing, 102206, China
| | - Ye Zhang
- Department of Stomatology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
- Department of Oral Pathology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, China
| | - Yueying He
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
| | - Jingyao Wang
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
| | - Zicheng Ma
- Changping Laboratory, Beijing, 102206, China
| | - Tie-Jun Li
- Department of Oral Pathology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, China
| | - Jianyun Zhang
- Department of Oral Pathology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China.
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, China.
| | - Yanyi Huang
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
- Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
- Institute for Cell Analysis, Shenzhen Bay Laboratory, Shenzhen, 528107, China.
| | - Yi Qin Gao
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
- Changping Laboratory, Beijing, 102206, China.
- Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
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