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Zhou X, Zhou L, Qian F, Chen J, Zhang Y, Yu Z, Zhang J, Yang Y, Li Y, Song C, Wang Y, Shang D, Dong L, Zhu J, Li C, Wang Q. TFTG: A comprehensive database for human transcription factors and their targets. Comput Struct Biotechnol J 2024; 23:1877-1885. [PMID: 38707542 PMCID: PMC11068477 DOI: 10.1016/j.csbj.2024.04.036] [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: 01/27/2024] [Revised: 04/15/2024] [Accepted: 04/15/2024] [Indexed: 05/07/2024] Open
Abstract
Transcription factors (TFs) are major contributors to gene transcription, especially in controlling cell-specific gene expression and disease occurrence and development. Uncovering the relationship between TFs and their target genes is critical to understanding the mechanism of action of TFs. With the development of high-throughput sequencing techniques, a large amount of TF-related data has accumulated, which can be used to identify their target genes. In this study, we developed TFTG (Transcription Factor and Target Genes) database (http://tf.liclab.net/TFTG), which aimed to provide a large number of available human TF-target gene resources by multiple strategies, besides performing a comprehensive functional and epigenetic annotations and regulatory analyses of TFs. We identified extensive available TF-target genes by collecting and processing TF-associated ChIP-seq datasets, perturbation RNA-seq datasets and motifs. We also obtained experimentally confirmed relationships between TF and target genes from available resources. Overall, the target genes of TFs were obtained through integrating the relevant data of various TFs as well as fourteen identification strategies. Meanwhile, TFTG was embedded with user-friendly search, analysis, browsing, downloading and visualization functions. TFTG is designed to be a convenient resource for exploring human TF-target gene regulations, which will be useful for most users in the TF and gene expression regulation research.
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Affiliation(s)
- Xinyuan Zhou
- The First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- College of Artificial Intelligence and Big Data For Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Liwei Zhou
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Fengcui Qian
- The First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Jiaxin Chen
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Yuexin Zhang
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Zhengmin Yu
- School of Computer, University of South China, Hengyang, Hunan 421001, China
| | - Jian Zhang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Yongsan Yang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Yanyu Li
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Chao Song
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Yuezhu Wang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Desi Shang
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Longlong Dong
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Jiang Zhu
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China
| | - Chunquan Li
- The First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Maternal and Child Health Care Hospital, National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
| | - Qiuyu Wang
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
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Tan WLA, Hudson NJ, Porto Neto LR, Reverter A, Afonso J, Fortes MRS. An association weight matrix identified biological pathways associated with bull fertility traits in a multi-breed population. Anim Genet 2024; 55:495-510. [PMID: 38692842 DOI: 10.1111/age.13431] [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: 11/16/2023] [Revised: 02/26/2024] [Accepted: 04/01/2024] [Indexed: 05/03/2024]
Abstract
Using seven indicator traits, we investigated the genetic basis of bull fertility and predicted gene interactions from SNP associations. We used percent normal sperm as the key phenotype for the association weight matrix-partial correlation information theory (AWM-PCIT) approach. Beyond a simple list of candidate genes, AWM-PCIT predicts significant gene interactions and associations for the selected traits. These interactions formed a network of 537 genes: 38 genes were transcription cofactors, and 41 genes were transcription factors. The network displayed two distinct clusters, one with 294 genes and another with 243 genes. The network is enriched in fertility-associated pathways: steroid biosynthesis, p53 signalling, and the pentose phosphate pathway. Enrichment analysis also highlighted gene ontology terms associated with 'regulation of neurotransmitter secretion' and 'chromatin formation'. Our network recapitulates some genes previously implicated in another network built with lower-density genotypes. Sequence-level data also highlights additional candidate genes relevant to bull fertility, such as FOXO4, FOXP3, GATA1, CYP27B1, and EBP. A trio of regulatory genes-KDM5C, LRRK2, and PME-was deemed core to the network because of their overarching connections. This trio probably influences bull fertility through their interaction with genes, both known and unknown as to their role in male fertility. Future studies may target the trio and their target genes to enrich our understanding of male fertility further.
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Affiliation(s)
- Wei Liang Andre Tan
- School of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia
| | - Nicholas James Hudson
- School of Agriculture and Food Sustainability, The University of Queensland, Gatton, Queensland, Australia
| | | | | | - Juliana Afonso
- School of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia
- Empresa Brasileira de Pesquisa Agropecuária, Pecuária Sudeste, São Carlos, São Paulo, Brazil
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3
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Naderi J, Magalhaes AP, Kibar G, Stik G, Zhang Y, Mackowiak SD, Wieler HM, Rossi F, Buschow R, Christou-Kent M, Alcoverro-Bertran M, Graf T, Vingron M, Hnisz D. An activity-specificity trade-off encoded in human transcription factors. Nat Cell Biol 2024:10.1038/s41556-024-01411-0. [PMID: 38969762 DOI: 10.1038/s41556-024-01411-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/20/2024] [Indexed: 07/07/2024]
Abstract
Transcription factors (TFs) control specificity and activity of gene transcription, but whether a relationship between these two features exists is unclear. Here we provide evidence for an evolutionary trade-off between the activity and specificity in human TFs encoded as submaximal dispersion of aromatic residues in their intrinsically disordered protein regions. We identified approximately 500 human TFs that encode short periodic blocks of aromatic residues in their intrinsically disordered regions, resembling imperfect prion-like sequences. Mutation of periodic aromatic residues reduced transcriptional activity, whereas increasing the aromatic dispersion of multiple human TFs enhanced transcriptional activity and reprogramming efficiency, promoted liquid-liquid phase separation in vitro and more promiscuous DNA binding in cells. Together with recent work on enhancer elements, these results suggest an important evolutionary role of suboptimal features in transcriptional control. We propose that rational engineering of amino acid features that alter phase separation may be a strategy to optimize TF-dependent processes, including cellular reprogramming.
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Affiliation(s)
- Julian Naderi
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Alexandre P Magalhaes
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Gözde Kibar
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Gregoire Stik
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Josep Carreras Leukaemia Research Institute, Badalona, Spain
| | - Yaotian Zhang
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Sebastian D Mackowiak
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Hannah M Wieler
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Francesca Rossi
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Rene Buschow
- Microscopy Core Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Marie Christou-Kent
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marc Alcoverro-Bertran
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Thomas Graf
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Martin Vingron
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Denes Hnisz
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany.
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Hinostroza F, Araya-Duran I, Piñeiro A, Lobos I, Pastenes L. Transcription factor roles in the local adaptation to temperature in the Andean Spiny Toad Rhinella spinulosa. Sci Rep 2024; 14:15158. [PMID: 38956427 PMCID: PMC11220030 DOI: 10.1038/s41598-024-66127-5] [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: 05/31/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024] Open
Abstract
Environmental temperature strongly influences the adaptation dynamics of amphibians, whose limited regulation capabilities render them susceptible to thermal oscillations. A central element of the adaptive strategies is the transcription factors (TFs), which act as master regulators that orchestrate stress responses, enabling species to navigate the fluctuations of their environment skillfully. Our study delves into the intricate relationship between TF expression and thermal adaptation mechanisms in the Rhinella spinulosa populations. We sought to elucidate the dynamic modulations of TF expression in prometamorphic and metamorphic tadpoles that inhabit two thermally contrasting environments (Catarpe and El Tatio Geyser, Chile) and which were exposed to two thermal treatments (25 °C vs. 20 °C). Our findings unravel an intriguing dichotomy in response strategies between these populations. First, results evidence the expression of 1374 transcription factors. Regarding the temperature shift, the Catarpe tadpoles show a multifaceted approach by up-regulating crucial TFs, including fosB, atf7, and the androgen receptor. These dynamic regulatory responses likely underpin the population's ability to navigate thermal fluctuations effectively. In stark contrast, the El Tatio tadpoles exhibit a more targeted response, primarily up-regulating foxc1. This differential expression suggests a distinct focus on specific TFs to mitigate the effects of temperature variations. Our study contributes to understanding the molecular mechanisms governing thermal adaptation responses and highlights the resilience and adaptability of amphibians in the face of ever-changing environmental conditions.
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Affiliation(s)
- Fernando Hinostroza
- Centro de Investigación de Estudios Avanzados del Maule (CIEAM), Vicerrectoría de Investigación y Postgrado, Universidad Católica del Maule, Talca, Chile
- Centro de Investigación en Neuropsicología y Neurociencias Cognitivas, Facultad de Ciencias de la Salud, Universidad Católica del Maule, Talca, Chile
- Escuela de Química y Farmacia, Departamento de Medicina Traslacional, Facultad de Medicina, Universidad Católica del Maule, Talca, Chile
- Centro Para la Investigación Traslacional en Neurofarmacología, Universidad de Valparaíso, Valparaíso, Chile
| | - Ingrid Araya-Duran
- Center for Bioinformatics and Integrative Biology, Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile
| | - Alejandro Piñeiro
- Laboratorio de Genética y Microevolución, Departamento de Biología y Química, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca, Chile
| | - Isabel Lobos
- Laboratorio de Genética y Microevolución, Departamento de Biología y Química, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca, Chile
| | - Luis Pastenes
- Laboratorio de Genética y Microevolución, Departamento de Biología y Química, Facultad de Ciencias Básicas, Universidad Católica del Maule, Talca, Chile.
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Yao GS, Fu LM, Dai JS, Chen JW, Liu KZ, Liang H, Wang Z, Deng Q, Wang JY, Jin MY, Chen W, Fang Y, Luo JH, Cao JZ, Wei JH. Exploring the oncogenic potential of circSOD2 in clear cell renal cell carcinoma: a novel positive feedback loop. J Transl Med 2024; 22:596. [PMID: 38926764 PMCID: PMC11209967 DOI: 10.1186/s12967-024-05290-9] [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: 03/20/2024] [Accepted: 05/09/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Existing studies have found that circular RNAs (circRNAs) act as sponges for micro RNAs (miRNAs) to control downstream genes. However, the specific functionalities and mechanisms of circRNAs in human clear cell renal cell carcinoma (ccRCC) have yet to be thoroughly investigated. METHODS Patient cohorts from online databases were used to screen candidate circRNAs, while another cohort from our hospital was obtained for validation. CircSOD2 was identified as a potential oncogenic target, and its relevant characteristics were investigated during ccRCC progression through various assays. A positive feedback loop containing downstream miRNA and its target gene were identified using bioinformatics and validated by luciferase reporter assays, RNA pull-down, and high-throughput sequencing. RESULTS CircSOD2 expression was elevated in tumor samples and significantly correlated with overall survival (OS) and the tumor stage of ccRCC patients, which appeared in the enhanced proliferation, invasion, and migration of tumor cells. Through competitive binding to circSOD2, miR-532-3p can promote the expression of PAX5 and the progression of ccRCC, and such regulation can be salvaged by miR-532-3p inhibitor. CONCLUSION A novel positive feedback loop, PAX5/circSOD2/miR-532-3p/PAX5 was identified in the study, indicating that the loop may play an important role in the diagnosis and prognostic prediction in ccRCC patients.
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Affiliation(s)
- Gao-Sheng Yao
- Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, ZhongShan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Liang-Min Fu
- Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, ZhongShan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Jun-Shang Dai
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jin-Wei Chen
- Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, ZhongShan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Ke-Zhi Liu
- Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, ZhongShan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Hui Liang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Zhu Wang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Qiong Deng
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Jie-Yan Wang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Mei-Yu Jin
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Wei Chen
- Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, ZhongShan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Yong Fang
- Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, ZhongShan 2nd Road, Guangzhou, 510080, Guangdong, China.
| | - Jun-Hang Luo
- Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, ZhongShan 2nd Road, Guangzhou, 510080, Guangdong, China.
- Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
| | - Jia-Zheng Cao
- Department of Urology, Affiliated Jiangmen Hospital of Sun Yat-Sen University, No.23 Haibang Street, Jiangmen, 529030, Guangdong, China.
| | - Jin-Huan Wei
- Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, ZhongShan 2nd Road, Guangzhou, 510080, Guangdong, China.
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6
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Li P, Cui P, Yue Q, Xu Z, Liu Z. Exploring the potential biological significance of KDELR family genes in lung adenocarcinoma. Sci Rep 2024; 14:14820. [PMID: 38937522 PMCID: PMC11211404 DOI: 10.1038/s41598-024-65425-2] [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: 01/24/2024] [Accepted: 06/20/2024] [Indexed: 06/29/2024] Open
Abstract
The Lys-Asp-Glu-Leu receptor (KDELR) family genes play critical roles in a variety of biological processes in different tumors. Our study aimed to provide a comprehensive analysis of the potential roles of KDELRs in lung adenocarcinoma (LUAD). Utilizing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, as well as clinical samples, we conducted a series of analyses and validations using R software tools and various online resources. The results showed that KDELR family genes and proteins were highly expressed and associated with a poor prognosis of LUAD. Promoter hypomethylation and the competing endogenous RNA (ceRNA) network of PCAT6/hsa-miR-326/KDELR1 might be potential causes of aberrant KDELR1 overexpression in LUAD. Three key Transcription factors (TFs) (SPI1, EP300, and MAZ) and a TFs-miRNAs-KDELRs network (involving 11 TFs) might be involved in modulating KDELRs expression abnormalities. Gene Set Enrichment Analysis (GSEA) indicated enrichment of genes highly expressing KDELR1, KDELR2, and KDELR3 in MTORC1_SIGNALING, P53_PATHWAY, and ANGIOGENESIS. Negative correlations between KDELRs expression and CD8 + T cell infiltration, as well as CTLA-4 expression. Our multiple analyses suggested that the KDELRs are important signaling molecules in LUAD. These results provided novel insights for developing prognostic markers and novel therapies of LUAD.
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Affiliation(s)
- Peitong Li
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Pengfei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Qing Yue
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Zijun Xu
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Ziling Liu
- Cancer Center, The First Hospital of Jilin University, Changchun, China.
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Guo X, Zhao Y, You F. MOI is a comprehensive database collecting processed multi-omics data associated with viral infection. Sci Rep 2024; 14:14725. [PMID: 38926513 PMCID: PMC11208532 DOI: 10.1038/s41598-024-65629-6] [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: 01/26/2024] [Accepted: 06/21/2024] [Indexed: 06/28/2024] Open
Abstract
Viral infections pose significant public health challenges, exemplified by the global impact of COVID-19 caused by SARS-CoV-2. Understanding the intricate molecular mechanisms governing virus-host interactions is pivotal for effective intervention strategies. Despite the burgeoning multi-omics data on viral infections, a centralized database elucidating host responses to viruses remains lacking. In response, we have developed a comprehensive database named 'MOI' (available at http://www.fynn-guo.cn/ ), specifically designed to aggregate processed Multi-Omics data related to viral Infections. This meticulously curated database serves as a valuable resource for conducting detailed investigations into virus-host interactions. Leveraging high-throughput sequencing data and metadata from PubMed and Gene Expression Omnibus (GEO), MOI comprises over 3200 viral-infected samples, encompassing human and murine infections. Standardized processing pipelines ensure data integrity, including bulk RNA sequencing (RNA-seq), single-cell RNA-seq (scRNA-seq), Chromatin Immunoprecipitation sequencing (ChIP-seq), and Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq). MOI offers user-friendly interfaces presenting comprehensive cell marker tables, gene expression data, and epigenetic landscape charts. Analytical tools for DNA sequence conversion, FPKM calculation, differential gene expression, and Gene Ontology (GO)/ Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment enhance data interpretation. Additionally, MOI provides 16 visualization plots for intuitive data exploration. In summary, MOI serves as a valuable repository for researchers investigating virus-host interactions. By centralizing and facilitating access to multi-omics data, MOI aims to advance our understanding of viral pathogenesis and expedite the development of therapeutic interventions.
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Affiliation(s)
- Xuefei Guo
- Institute of Systems Biomedicine, Department of Immunology, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, NHC Key Laboratory of Medical Immunology, Peking University Health Science Center, Beijing, China.
| | - Yang Zhao
- Institute of Systems Biomedicine, Department of Immunology, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, NHC Key Laboratory of Medical Immunology, Peking University Health Science Center, Beijing, China
| | - Fuping You
- Institute of Systems Biomedicine, Department of Immunology, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, NHC Key Laboratory of Medical Immunology, Peking University Health Science Center, Beijing, China
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8
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Maurer HC, Garcia-Curiel A, Holmstrom SR, Castillo C, Palermo CF, Sastra SA, Andren A, Zhang L, Le Large TYS, Sagalovskiy I, Ross DR, Wong W, Shaw K, Genkinger J, Manji GA, Iuga AC, Schmid RM, Johnson K, Badgley MA, Lyssiotis CA, Shah Y, Califano A, Olive KP. Ras-dependent activation of BMAL2 regulates hypoxic metabolism in pancreatic cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.19.533333. [PMID: 36993718 PMCID: PMC10055246 DOI: 10.1101/2023.03.19.533333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
To identify drivers of malignancy in human pancreatic ductal adenocarcinoma (PDAC), we performed regulatory network analysis on a large collection of expression profiles from laser capture microdissected samples of PDAC and benign precursors. We discovered that BMAL2 plays a role in the initiation, progression, post resection survival, and KRAS activity in PDAC. Functional analysis of BMAL2 target genes led us to hypothesize that it plays a role in regulating the response to hypoxia, a critical but poorly understood feature of PDAC physiology. Knockout of BMAL2 in multiple human PDAC cell lines revealed effects on viability and invasion, particularly under hypoxic conditions. Loss of BMAL2 also affected glycolysis and other metabolic processes. We found that BMAL2 directly regulates hypoxia-responsive target genes. We also found that BMAL2 is necessary for the stabilization of HIF1A upon exposure to hypoxia, but destabilizes HIF2A under hypoxia. These data demonstrate that BMAL2 is a master transcriptional regulator of hypoxia responses in PDAC and may serve as a long-sought molecular switch that distinguishes HIF1A- and HIF2A-dependent modes of hypoxic metabolism.
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Affiliation(s)
- H Carlo Maurer
- Department of Internal Medicine II, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Alvaro Garcia-Curiel
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Sam R Holmstrom
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Cristina Castillo
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Carmine F Palermo
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Steven A Sastra
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Anthony Andren
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Li Zhang
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Tessa Y S Le Large
- Department of Surgery, Amsterdam UMC, Location Vrije Universiteit, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
| | - Irina Sagalovskiy
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Daniel R Ross
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Winston Wong
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Kaitlin Shaw
- Division of GI/Endocrine Surgery, Department of Surgery, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Jeanine Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Gulam A Manji
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Alina C Iuga
- Department of Pathology, Columbia University Irving Medical Center, New York, NY
| | - Roland M Schmid
- Department of Internal Medicine II, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | | | - Michael A Badgley
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
| | - Costas A Lyssiotis
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Yatrik Shah
- Department of Molecular & Integrative Physiology and Internal Medicine, Division of Gastroenterology, University of Michigan, Ann Arbor, MI
- University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI
| | - Andrea Califano
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Darwin Therapeutics, New York, NY
- Chan Zuckerberg Biohub, New York, NY
| | - Kenneth P Olive
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Columbia University Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY
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9
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Fang F, Chen D, Basharat AR, Poulos W, Wang Q, Cibelli JB, Liu X, Sun L. Quantitative proteomics reveals the dynamic proteome landscape of zebrafish embryos during the maternal-to-zygotic transition. iScience 2024; 27:109944. [PMID: 38784018 PMCID: PMC11111832 DOI: 10.1016/j.isci.2024.109944] [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: 09/15/2022] [Revised: 08/23/2023] [Accepted: 05/06/2024] [Indexed: 05/25/2024] Open
Abstract
Maternal-to-zygotic transition (MZT) is central to early embryogenesis. However, its underlying molecular mechanisms are still not well described. Here, we revealed the expression dynamics of 5,000 proteins across four stages of zebrafish embryos during MZT, representing one of the most systematic surveys of proteome landscape of the zebrafish embryos during MZT. Nearly 700 proteins were differentially expressed and were divided into six clusters according to their expression patterns. The proteome expression profiles accurately reflect the main events that happen during the MZT, i.e., zygotic genome activation (ZGA), clearance of maternal mRNAs, and initiation of cellular differentiation and organogenesis. MZT is modulated by many proteins at multiple levels in a collaborative fashion, i.e., transcription factors, histones, histone-modifying enzymes, RNA helicases, and P-body proteins. Significant discrepancies were discovered between zebrafish proteome and transcriptome profiles during the MZT. The proteome dynamics database will be a valuable resource for bettering our understanding of MZT.
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Affiliation(s)
- Fei Fang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
| | - Daoyang Chen
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
| | - Abdul Rehman Basharat
- Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - William Poulos
- Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA
| | - Qianyi Wang
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
| | - Jose B. Cibelli
- Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA
- Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, MI 48824, USA
| | - Xiaowen Liu
- Deming Department of Medicine, School of Medicine, Tulane University, 1441 Canal Street, New Orleans, LA 70112, USA
| | - Liangliang Sun
- Department of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, MI 48824, USA
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10
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Li C, Shao X, Zhang S, Wang Y, Jin K, Yang P, Lu X, Fan X, Wang Y. scRank infers drug-responsive cell types from untreated scRNA-seq data using a target-perturbed gene regulatory network. Cell Rep Med 2024; 5:101568. [PMID: 38754419 PMCID: PMC11228399 DOI: 10.1016/j.xcrm.2024.101568] [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: 05/05/2023] [Revised: 12/27/2023] [Accepted: 04/21/2024] [Indexed: 05/18/2024]
Abstract
Cells respond divergently to drugs due to the heterogeneity among cell populations. Thus, it is crucial to identify drug-responsive cell populations in order to accurately elucidate the mechanism of drug action, which is still a great challenge. Here, we address this problem with scRank, which employs a target-perturbed gene regulatory network to rank drug-responsive cell populations via in silico drug perturbations using untreated single-cell transcriptomic data. We benchmark scRank on simulated and real datasets, which shows the superior performance of scRank over existing methods. When applied to medulloblastoma and major depressive disorder datasets, scRank identifies drug-responsive cell types that are consistent with the literature. Moreover, scRank accurately uncovers the macrophage subpopulation responsive to tanshinone IIA and its potential targets in myocardial infarction, with experimental validation. In conclusion, scRank enables the inference of drug-responsive cell types using untreated single-cell data, thus providing insights into the cellular-level impacts of therapeutic interventions.
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Affiliation(s)
- Chengyu Li
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314103, China
| | - Xin Shao
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314103, China.
| | - Shujing Zhang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou, China
| | - Yingchao Wang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou, China
| | - Kaiyu Jin
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314103, China
| | - Penghui Yang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314103, China
| | - Xiaoyan Lu
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou, China
| | - Xiaohui Fan
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314103, China; Jinhua Institute of Zhejiang University, Jinhua 321299, China; Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.
| | - Yi Wang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing 314103, China.
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11
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Yan ZX, Dong Y, Qiao N, Zhang YL, Wu W, Zhu Y, Wang L, Cheng S, Xu PP, Zhou ZS, Sheng LS, Zhao WL. Cholesterol efflux from C1QB-expressing macrophages is associated with resistance to chimeric antigen receptor T cell therapy in primary refractory diffuse large B cell lymphoma. Nat Commun 2024; 15:5183. [PMID: 38890370 PMCID: PMC11189439 DOI: 10.1038/s41467-024-49495-4] [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: 07/06/2023] [Accepted: 06/03/2024] [Indexed: 06/20/2024] Open
Abstract
Chimeric antigen receptor T (CAR-T) cell therapy has demonstrated promising efficacy in early trials for relapsed/refractory diffuse large B cell lymphoma (DLBCL). However, its efficacy in treating primary refractory DLBCL has not been comprehensively investigated, and the underlying resistance mechanisms remain unclear. Here, we report the outcomes of a phase I, open-label, single-arm clinical trial of relmacabtagene autoleucel (relma-cel), a CD19-targeted CAR-T cell product, with safety and efficacy as primary endpoints. Among the 12 enrolled patients, 8 experienced grade 4 hematologic toxicity of treatment-emergent adverse event. No grade ≥3 cytokine release syndrome or neurotoxicity occurred. Single-cell RNA sequencing revealed an increase proportion of C1QB-expressing macrophages in patients with progressive disease before CAR-T cell therapy. Cholesterol efflux from M2 macrophages was found to inhibit CAR-T cells cytotoxicity by inducing an immunosuppressive state in CD8+ T cells, leading to their exhaustion. Possible interactions between macrophages and CD8+ T cells, mediating lipid metabolism (AFR1-FAS), immune checkpoint activation, and T cell exhaustion (LGALS9-HAVCR2, CD86-CTLA4, and NECTIN2-TIGIT) were enhanced during disease progression. These findings suggest that cholesterol efflux from macrophages may trigger CD8+ T cell exhaustion, providing a rationale for metabolic reprogramming to counteract CAR-T treatment failure. Chinadrugtrials.org.cn identifier: CTR20200376.
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MESH Headings
- Humans
- Lymphoma, Large B-Cell, Diffuse/therapy
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/metabolism
- Lymphoma, Large B-Cell, Diffuse/genetics
- Macrophages/metabolism
- Macrophages/immunology
- Immunotherapy, Adoptive/methods
- Middle Aged
- Female
- Male
- Cholesterol/metabolism
- Receptors, Chimeric Antigen/metabolism
- Receptors, Chimeric Antigen/immunology
- Receptors, Chimeric Antigen/genetics
- Aged
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/metabolism
- Adult
- Drug Resistance, Neoplasm
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Affiliation(s)
- Zi-Xun Yan
- 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, 200025, China
| | - Yan Dong
- 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, 200025, China
| | - Niu Qiao
- 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, 200025, China
| | - Yi-Lun Zhang
- 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, 200025, China
| | - Wen Wu
- 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, 200025, China
| | - Yue Zhu
- 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, 200025, China
| | - Li 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, 200025, China
| | - Shu Cheng
- 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, 200025, China
| | - Peng-Peng 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, 200025, China
| | - Zi-Song Zhou
- JW Therapeutics (Shanghai) Co. Ltd, Shanghai, 200025, China
| | - Ling-Shuang Sheng
- 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, 200025, China.
| | - Wei-Li 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, 200025, China.
- Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, 200025, China.
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12
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Yang C, Wang Z, Qian L, Fu J, Sun H. Deciphering the molecular landscape: evolutionary progression from gynecomastia to aggressive male breast cancer. Cell Oncol (Dordr) 2024:10.1007/s13402-024-00964-4. [PMID: 38888848 DOI: 10.1007/s13402-024-00964-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Gynecomastia denotes the benign proliferation of glandular breast tissue and stands as a recognized risk factor for male breast cancer. Nonetheless, the underlying carcinogenic mechanisms orchestrating the progression from gynecomastia to cancer remain poorly understood. METHODS This study employed single-cell RNA sequencing (scRNA-seq) to meticulously dissect the cellular landscape of gynecomastia and unravel potential associations with male breast cancer at a single-cell resolution. Pseudotime and evolutionary analyses were executed to delineate the distinct features characterizing gynecomastia and male breast cancer. The TCGA database, along with cell-cell communication analysis and immunohistochemistry staining, was harnessed to validate differential gene expression, specifically focusing on CD13. RESULT From the copy number variation profiles and evolutionary tree, we inferred shared mutation characteristics (18p+ and 18q+) underpinning both conditions. The developmental trajectory unveiled an intriguing overlap between gynecomastia and malignant epithelial cells. Moreover, the differential gene CD13 emerged as a common denominator in both gynecomastia and male breast cancer when compared with normal mammary tissue. Cell-cell interaction analysis and communication dynamics within the tumor microenvironment spotlighted distinctions between CD13+ and CD13- subsets, with the former exhibiting elevated expression of FGFR1-FGF7. CONCLUSIONS Our investigation provides novel insights into the evolutionary progression from gynecomastia to male breast cancer, shedding light on the pivotal role of CD13 in driving this transition. The identification of CD13 as a potential therapeutic target suggests the feasibility of CD13-targeted interventions, specifically tailored for male breast cancer treatment.
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Affiliation(s)
- Chuang Yang
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
| | - Zhonglin Wang
- The Second People's Hospital of Lianyungang, Lianyungang, 222006, China
| | - Lijun Qian
- The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China
| | - Jingyue Fu
- The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China
| | - Handong Sun
- Department of Breast, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, China.
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China.
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13
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Morin A, Chu C, Pavlidis P. Identifying Reproducible Transcription Regulator Coexpression Patterns with Single Cell Transcriptomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.15.580581. [PMID: 38559016 PMCID: PMC10979919 DOI: 10.1101/2024.02.15.580581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The proliferation of single cell transcriptomics has potentiated our ability to unveil patterns that reflect dynamic cellular processes, rather than cell type compositional effects that emerge from bulk tissue samples. In this study, we leverage a broad collection of single cell RNA-seq data to identify the gene partners whose expression is most coordinated with each human and mouse transcription regulator (TR). We assembled 120 human and 103 mouse scRNA-seq datasets from the literature (>28 million cells), constructing a single cell coexpression network for each. We aimed to understand the consistency of TR coexpression profiles across a broad sampling of biological contexts, rather than examine the preservation of context-specific signals. Our workflow therefore explicitly prioritizes the patterns that are most reproducible across cell types. Towards this goal, we characterize the similarity of each TR's coexpression within and across species. We create single cell coexpression rankings for each TR, demonstrating that this aggregated information recovers literature curated targets on par with ChIP-seq data. We then combine the coexpression and ChIP-seq information to identify candidate regulatory interactions supported across methods and species. Finally, we highlight interactions for the important neural TR ASCL1 to demonstrate how our compiled information can be adopted for community use.
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Affiliation(s)
- Alexander Morin
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Graduate Program in Bioinformatics, University of British Columbia, Vancouver, BC, Canada
| | - Chingpan Chu
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Graduate Program in Bioinformatics, University of British Columbia, Vancouver, BC, Canada
| | - Paul Pavlidis
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
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14
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Zhang J, Wang Q, Qi S, Duan Y, Liu Z, Liu J, Zhang Z, Li C. An oncogenic enhancer promotes melanoma progression via regulating ETV4 expression. J Transl Med 2024; 22:547. [PMID: 38849954 PMCID: PMC11157841 DOI: 10.1186/s12967-024-05356-8] [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: 04/13/2024] [Accepted: 05/29/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Enhancers are important gene regulatory elements that promote the expression of critical genes in development and disease. Aberrant enhancer can modulate cancer risk and activate oncogenes that lead to the occurrence of various cancers. However, the underlying mechanism of most enhancers in cancer remains unclear. Here, we aim to explore the function and mechanism of a crucial enhancer in melanoma. METHODS Multi-omics data were applied to identify an enhancer (enh17) involved in melanoma progression. To evaluate the function of enh17, CRISPR/Cas9 technology were applied to knockout enh17 in melanoma cell line A375. RNA-seq, ChIP-seq and Hi-C data analysis integrated with luciferase reporter assay were performed to identify the potential target gene of enh17. Functional experiments were conducted to further validate the function of the target gene ETV4. Multi-omics data integrated with CUT&Tag sequencing were performed to validate the binding profile of the inferred transcription factor STAT3. RESULTS An enhancer, named enh17 here, was found to be aberrantly activated and involved in melanoma progression. CRISPR/Cas9-mediated deletion of enh17 inhibited cell proliferation, migration, and tumor growth of melanoma both in vitro and in vivo. Mechanistically, we identified ETV4 as a target gene regulated by enh17, and functional experiments further support ETV4 as a target gene that is involved in cancer-associated phenotypes. In addition, STAT3 acts as a transcription factor binding with enh17 to regulate the transcription of ETV4. CONCLUSIONS Our findings revealed that enh17 plays an oncogenic role and promotes tumor progression in melanoma, and its transcriptional regulatory mechanisms were fully elucidated, which may open a promising window for melanoma prevention and treatment.
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Affiliation(s)
- Junyou Zhang
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Qilin Wang
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Sihan Qi
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Yingying Duan
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Zhaoshuo Liu
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Jiaxin Liu
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Ziyi Zhang
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Chunyan Li
- School of Engineering Medicine, Beihang University, Beijing, 100191, China.
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China.
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China.
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15
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Wang T, Ling AH, Billings SE, Hosseini DK, Vaisbuch Y, Kim GS, Atkinson PJ, Sayyid ZN, Aaron KA, Wagh D, Pham N, Scheibinger M, Zhou R, Ishiyama A, Moore LS, Maria PS, Blevins NH, Jackler RK, Alyono JC, Kveton J, Navaratnam D, Heller S, Lopez IA, Grillet N, Jan TA, Cheng AG. Single-cell transcriptomic atlas reveals increased regeneration in diseased human inner ear balance organs. Nat Commun 2024; 15:4833. [PMID: 38844821 PMCID: PMC11156867 DOI: 10.1038/s41467-024-48491-y] [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: 11/21/2022] [Accepted: 04/29/2024] [Indexed: 06/09/2024] Open
Abstract
Mammalian inner ear hair cell loss leads to permanent hearing and balance dysfunction. In contrast to the cochlea, vestibular hair cells of the murine utricle have some regenerative capacity. Whether human utricular hair cells regenerate in vivo remains unknown. Here we procured live, mature utricles from organ donors and vestibular schwannoma patients, and present a validated single-cell transcriptomic atlas at unprecedented resolution. We describe markers of 13 sensory and non-sensory cell types, with partial overlap and correlation between transcriptomes of human and mouse hair cells and supporting cells. We further uncover transcriptomes unique to hair cell precursors, which are unexpectedly 14-fold more abundant in vestibular schwannoma utricles, demonstrating the existence of ongoing regeneration in humans. Lastly, supporting cell-to-hair cell trajectory analysis revealed 5 distinct patterns of dynamic gene expression and associated pathways, including Wnt and IGF-1 signaling. Our dataset constitutes a foundational resource, accessible via a web-based interface, serving to advance knowledge of the normal and diseased human inner ear.
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Affiliation(s)
- Tian Wang
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Otolaryngology - Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, 410011, PR China
| | - Angela H Ling
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Otolaryngology - Head and Neck Surgery, Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Sara E Billings
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Davood K Hosseini
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Yona Vaisbuch
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Grace S Kim
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Patrick J Atkinson
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Zahra N Sayyid
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ksenia A Aaron
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Dhananjay Wagh
- Stanford Genomics Facility, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Nicole Pham
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Mirko Scheibinger
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ruiqi Zhou
- Department of Otolaryngology - Head and Neck Surgery, Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Akira Ishiyama
- Department of Head and Neck Surgery, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Lindsay S Moore
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Peter Santa Maria
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Nikolas H Blevins
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Robert K Jackler
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Jennifer C Alyono
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - John Kveton
- Department of Surgery, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Dhasakumar Navaratnam
- Department of Surgery, Yale University School of Medicine, New Haven, CT, 06510, USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Stefan Heller
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ivan A Lopez
- Department of Head and Neck Surgery, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Nicolas Grillet
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Taha A Jan
- Department of Otolaryngology - Head and Neck Surgery, Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
| | - Alan G Cheng
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
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Very N, Boulet C, Gheeraert C, Berthier A, Johanns M, Bou Saleh M, Guille L, Bray F, Strub JM, Bobowski-Gerard M, Zummo FP, Vallez E, Molendi-Coste O, Woitrain E, Cianférani S, Montaigne D, Ntandja-Wandji LC, Dubuquoy L, Dubois-Chevalier J, Staels B, Lefebvre P, Eeckhoute J. O-GlcNAcylation controls pro-fibrotic transcriptional regulatory signaling in myofibroblasts. Cell Death Dis 2024; 15:391. [PMID: 38830870 PMCID: PMC11148087 DOI: 10.1038/s41419-024-06773-9] [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: 01/25/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 06/05/2024]
Abstract
Tissue injury causes activation of mesenchymal lineage cells into wound-repairing myofibroblasts (MFs), whose uncontrolled activity ultimately leads to fibrosis. Although this process is triggered by deep metabolic and transcriptional reprogramming, functional links between these two key events are not yet understood. Here, we report that the metabolic sensor post-translational modification O-linked β-D-N-acetylglucosaminylation (O-GlcNAcylation) is increased and required for myofibroblastic activation. Inhibition of protein O-GlcNAcylation impairs archetypal myofibloblast cellular activities including extracellular matrix gene expression and collagen secretion/deposition as defined in vitro and using ex vivo and in vivo murine liver injury models. Mechanistically, a multi-omics approach combining proteomic, epigenomic, and transcriptomic data mining revealed that O-GlcNAcylation controls the MF transcriptional program by targeting the transcription factors Basonuclin 2 (BNC2) and TEA domain transcription factor 4 (TEAD4) together with the Yes-associated protein 1 (YAP1) co-activator. Indeed, inhibition of protein O-GlcNAcylation impedes their stability leading to decreased functionality of the BNC2/TEAD4/YAP1 complex towards promoting activation of the MF transcriptional regulatory landscape. We found that this involves O-GlcNAcylation of BNC2 at Thr455 and Ser490 and of TEAD4 at Ser69 and Ser99. Altogether, this study unravels protein O-GlcNAcylation as a key determinant of myofibroblastic activation and identifies its inhibition as an avenue to intervene with fibrogenic processes.
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Affiliation(s)
- Ninon Very
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Clémence Boulet
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Céline Gheeraert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Alexandre Berthier
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Manuel Johanns
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Mohamed Bou Saleh
- Univ. Lille, Inserm, CHU Lille, U1286 - INFINITE - Institute for Translational Research in Inflammation, Lille, France
| | - Loïc Guille
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Fabrice Bray
- Miniaturization for Synthesis, Analysis & Proteomics, UAR 3290, CNRS, University of Lille, Villeneuve d'Ascq Cedex, France
| | - Jean-Marc Strub
- Laboratoire de Spectrométrie de Masse BioOrganique, CNRS UMR7178, Univ. Strasbourg, IPHC, Infrastructure Nationale de Protéomique ProFI - FR2048, Strasbourg, France
| | - Marie Bobowski-Gerard
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Francesco P Zummo
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Emmanuelle Vallez
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Olivier Molendi-Coste
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Eloise Woitrain
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Sarah Cianférani
- Laboratoire de Spectrométrie de Masse BioOrganique, CNRS UMR7178, Univ. Strasbourg, IPHC, Infrastructure Nationale de Protéomique ProFI - FR2048, Strasbourg, France
| | - David Montaigne
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Line Carolle Ntandja-Wandji
- Univ. Lille, Inserm, CHU Lille, U1286 - INFINITE - Institute for Translational Research in Inflammation, Lille, France
| | - Laurent Dubuquoy
- Univ. Lille, Inserm, CHU Lille, U1286 - INFINITE - Institute for Translational Research in Inflammation, Lille, France
| | | | - Bart Staels
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Philippe Lefebvre
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Jérôme Eeckhoute
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France.
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Xie X, Sinha S. Quantitative estimates of the regulatory influence of long non-coding RNAs on global gene expression variation using TCGA breast cancer transcriptomic data. PLoS Comput Biol 2024; 20:e1012103. [PMID: 38838009 PMCID: PMC11198904 DOI: 10.1371/journal.pcbi.1012103] [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: 01/19/2023] [Revised: 06/25/2024] [Accepted: 04/24/2024] [Indexed: 06/07/2024] Open
Abstract
Long non-coding RNAs (lncRNAs) have received attention in recent years for their regulatory roles in diverse biological contexts including cancer, yet large gaps remain in our understanding of their mechanisms and global maps of their targets. In this work, we investigated a basic unanswered question of lncRNA systems biology: to what extent can gene expression variation across individuals be attributed to lncRNA-driven regulation? To answer this, we analyzed RNA-seq data from a cohort of breast cancer patients, explaining each gene's expression variation using a small set of automatically selected lncRNA regulators. A key aspect of this analysis is that it accounts for confounding effects of transcription factors (TFs) as common regulators of a lncRNA-mRNA pair, to enrich the explained gene expression for lncRNA-mediated regulation. We found that for 16% of analyzed genes, lncRNAs can explain more than 20% of expression variation. We observed 25-50% of the putative regulator lncRNAs to be in 'cis' to, i.e., overlapping or located proximally to the target gene. This led us to quantify the global regulatory impact of such cis-located lncRNAs, which was found to be substantially greater than that of trans-located lncRNAs. Additionally, by including statistical interaction terms involving lncRNA-protein pairs as predictors in our regression models, we identified cases where a lncRNA's regulatory effect depends on the presence of a TF or RNA-binding protein. Finally, we created a high-confidence lncRNA-gene regulatory network whose edges are supported by co-expression as well as a plausible mechanism such as cis-action, protein scaffolding or competing endogenous RNAs. Our work is a first attempt to quantify the extent of gene expression control exerted globally by lncRNAs, especially those located proximally to their regulatory targets, in a specific biological (breast cancer) context. It also marks a first step towards systematic reconstruction of lncRNA regulatory networks, going beyond the current paradigm of co-expression networks, and motivates future analyses assessing the generalizability of our findings to additional biological contexts.
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Affiliation(s)
- Xiaoman Xie
- Center for Biophysics and Quantitative Biology, University of Illinois Urbana-Champaign, Urbana, Illinois, United States of America
| | - Saurabh Sinha
- Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America
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18
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He Y, Li B, Zhao X, Pan L, Liu Y, Lan C, Deng F, Fu W, Zhang Y, Zuo X. Association between CACNA1D polymorphisms and hypospadias in a southern Chinese population. J Pediatr Urol 2024; 20:438.e1-438.e11. [PMID: 38378373 DOI: 10.1016/j.jpurol.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Hypospadias is a congenital genitourinary malformation, with the etiology remaining complex and poorly understood. Despite several genes have been identified to be associated with the risk of hypospadias, current understanding of the susceptibility loci for hypospadias yet remained largely improved. The CACNA1D gene encodes calcium voltage-gated channel subunit alpha 1d and may be involved in androgen signaling. However, the genetic susceptibility of CACNA1D associated with hypospadias has yet been addressed. OBJECTIVE To evaluate the association between CACNA1D polymorphisms and the susceptibility to hypospadias. METHODS In this study, we accessed the association between two potential regulatory SNPs (rs3774491 and rs898415) within CACNA1D and hypospadias in a cohort of southern Chinese population which comprised of 740 cases and 948 healthy individuals. Both SNP and haplotypic associations were evaluated. Bioinformatic analysis of the regulatory abilities of the CACNA1D SNPs were carried out by utilizing public ChIP-seq and DNase-seq data. The expression of Cacna1d in mouse external genitalia and testis was evaluated by qPCR. RESULTS We found that the allele C in rs3774491 and allele G in rs898415 were significantly associated with an increased risk of hypospadias, especially for proximal hypospadias. Further model-based genotypic analyses showed that these association were prominent in additive model and recessive models. Bioinformatic analyses indicated that both SNPs were colocalized with DNase and multiple histone marker across multiple tissues, suggesting the regulatory potentials for these variants. Cacna1d is detectable in both testis and external genitalia of mouse, but the expression level was more prominent in testis than that in external genitalia, suggesting tissue-specific differences in its expression. CONCLUSION Our findings provide evidence for CACNA1D as a novel predisposing gene for hypospadias, shedding new light on the genetic basis of malformation of urinary tract. Further investigations are warranted to elucidate the functional implication of CACNA1D underlying the development of hypospadias. LEVEL OF EVIDENCE N/A.
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Affiliation(s)
- Ye He
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China; Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China
| | - Binyao Li
- Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China; Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou, 510623, China
| | - Xinying Zhao
- Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China
| | - Lingling Pan
- Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China
| | - Yanqing Liu
- Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China
| | - Chaoting Lan
- Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China
| | - Fuming Deng
- Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China; Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou, 510623, China
| | - Wen Fu
- Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China; Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou, 510623, China
| | - Yan Zhang
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China; Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China.
| | - Xiaoyu Zuo
- Department of Pediatric Surgery, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China.
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19
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Gu L, Yue X, Niu S, Ma J, Liu S, Pan M, Song L, Su Q, Tan Y, Li Y, Chang J. Systematical identification of key genes and regulatory genetic variants associated with prognosis of esophageal squamous cell carcinoma. Mol Carcinog 2024; 63:1013-1023. [PMID: 38380955 DOI: 10.1002/mc.23704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/26/2024] [Accepted: 02/06/2024] [Indexed: 02/22/2024]
Abstract
Esophageal squamous cell carcinoma (ESCC) stands as a highly lethal malignancy characterized by pronounced recurrence and metastasis, resulting in a bleak 5-year survival rate. Despite extensive investigations, encompassing genome-wide association studies, the identification of robust prognostic markers has remained elusive. In this study, leveraging four independent data sets comprising 404 ESCC patients, we conducted a systematic analysis to unveil pivotal genes influencing overall survival. our meta-analysis identified 278 genes significantly associated with ESCC prognosis. Further exploration of the prognostic landscape involved an examination of expression quantitative trait loci for these genes, leading to the identification of six tag single nucleotide polymorphisms predictive of overall survival in a cohort of 904 ESCC patients. Notably, functional annotation spotlighted rs11227223, residing in the enhancer region of nuclear paraspeckle assembly transcript 1 (NEAT1), as a crucial variant likely exerting a substantive biological role. Through a series of biochemistry experiments, we conclusively demonstrated that the rs11227223-T allele, indicative of a poorer prognosis, augmented NEAT1 expression. Our results underscore the substantive role of NEAT1 and its regulatory variant in prognostic predictions for ESCC. This comprehensive analysis not only advances our comprehension of ESCC prognosis but also unveils a potential avenue for targeted interventions, offering promise for enhanced clinical outcomes.
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Affiliation(s)
- Linglong Gu
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinying Yue
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Siyuan Niu
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jialing Ma
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shasha Liu
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Miaoxin Pan
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lina Song
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qianqian Su
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuqian Tan
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yueping Li
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiang Chang
- Key Laboratory for Environment and Health, Department of Health Toxicology, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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20
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Wang X, Guo S, Xiong L, Wu X, Bao P, Kang Y, Cao M, Ding Z, Liang C, Pei J, Guo X. Complete characterization of the yak testicular development using accurate full-length transcriptome sequencing. Int J Biol Macromol 2024; 271:132400. [PMID: 38759851 DOI: 10.1016/j.ijbiomac.2024.132400] [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: 02/21/2024] [Revised: 05/11/2024] [Accepted: 05/13/2024] [Indexed: 05/19/2024]
Abstract
Alternative splicing is a prevalent phenomenon in testicular tissues. Due to the low assembly accuracy of short-read RNA sequencing technology in analyzing post-transcriptional regulatory events, full-length (FL) transcript sequencing is highly demanded to accurately determine FL splicing variants. In this study, we performed FL transcriptome sequencing of testicular tissues from 0.5, 1.5, 2.5, and 4-year-old yaks and 4-year-old cattle-yaks using Oxford Nanopore Technologies. The obtained sequencing data were predicted to have 47,185 open reading frames (ORFs), including 26,630 complete ORFs, detected 7645 fusion transcripts, 15,355 alternative splicing events, 25,798 simple sequence repeats, 7628 transcription factors, and 35,503 long non-coding RNAs. A total of 40,038 novel transcripts were obtained from the sequencing data, and the proportion was almost close to the number of known transcripts identified. Structural analysis and functional annotation of these novel transcripts resulted in the successful annotation of 9568 transcripts, with the highest and lowest annotation numbers in the Nr and KOG databases, respectively. Weighted gene co-expression network analysis revealed the key regulatory pathways and hub genes at various stages of yak testicular development. Our findings enhance our comprehension of transcriptome complexity, contribute to genome annotation refinement, and provide foundational data for further investigations into male sterility in cattle-yaks.
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Affiliation(s)
- Xingdong Wang
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Shaoke Guo
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Lin Xiong
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Xiaoyun Wu
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Pengjia Bao
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Yandong Kang
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Mengli Cao
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Ziqiang Ding
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Chunnian Liang
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China
| | - Jie Pei
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China.
| | - Xian Guo
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, PR China; Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, PR China.
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Ni H, Tang S, Lu G, Niu Y, Xu J, Zhang H, Hu J, Shen HM, Wu Y, Xia D. Linc00673-V3 positively regulates autophagy by promoting Smad3-mediated LC3B transcription in NSCLC. Life Sci Alliance 2024; 7:e202302408. [PMID: 38527804 PMCID: PMC10963591 DOI: 10.26508/lsa.202302408] [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: 09/30/2023] [Revised: 03/13/2024] [Accepted: 03/13/2024] [Indexed: 03/27/2024] Open
Abstract
Since its first discovery, long noncoding RNA Linc00673 has been linked to carcinogenesis and metastasis of various human cancers. Linc00673 had five transcriptional isoforms and their biological functions remained to be explored. Here we have reported that Linc00673-V3, one of the isoforms of Linc00673, promoted non-small cell lung cancer chemoresistance, and increased Linc00673-V3 expression level was associated with enhanced autophagy. Mechanistically, we discerned the existence of a stem-loop configuration engendered by the 1-100-nt and 2200-2275-nt fragments within Linc00673-V3. This structure inherently interacted with Smad3, thereby impeding its ubiquitination and subsequent degradation orchestrated by E3 ligase STUB1. The accumulation of Smad3 contributed to autophagy via up-regulation of LC3B transcription and ultimately conferred chemoresistance in NSCLC. Our results revealed a novel transcriptional regulation network between Linc00673-V3, Smad3, and LC3B, which provided an important insight into the interplay between autophagy regulation and non-canonical function of Smad3. Furthermore, the results from in vivo experiments suggested Linc00673-V3 targeted antisense oligonucleotide as a promising therapeutic strategy to overcome chemotherapy resistance in NSCLC.
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Affiliation(s)
- Heng Ni
- https://ror.org/00a2xv884 Department of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- https://ror.org/00a2xv884 Department of Thoracic Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Song Tang
- https://ror.org/00a2xv884 Department of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guang Lu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yuequn Niu
- https://ror.org/00a2xv884 Department of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- https://ror.org/00a2xv884 Department of Thoracic Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jinming Xu
- https://ror.org/00a2xv884 Department of Thoracic Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Honghe Zhang
- https://ror.org/00a2xv884 Department of Pathology and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jian Hu
- https://ror.org/00a2xv884 Department of Thoracic Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Han-Ming Shen
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Faculty of Health Sciences, Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau, Macau, China
| | - Yihua Wu
- https://ror.org/00a2xv884 Department of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dajing Xia
- https://ror.org/00a2xv884 Department of Toxicology of School of Public Health and Department of Gynecologic Oncology of Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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22
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Liu X, Wu J, Li M, Zuo F, Zhang G. A Comparative Full-Length Transcriptome Analysis Using Oxford Nanopore Technologies (ONT) in Four Tissues of Bovine Origin. Animals (Basel) 2024; 14:1646. [PMID: 38891695 PMCID: PMC11170998 DOI: 10.3390/ani14111646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/28/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
The transcriptome complexity and splicing patterns in male and female cattle are ambiguous, presenting a substantial obstacle to genomic selection programs that seek to improve productivity, disease resistance, and reproduction in cattle. A comparative transcriptomic analysis using Oxford Nanopore Technologies (ONT) was conducted in bovine testes (TESTs), ovaries (OVAs), muscles (MUSCs), and livers (LIVs). An average of 5,144,769 full-length reads were obtained from each sample. The TESTs were found to have the greatest number of alternative polyadenylation (APA) events involved in processes such as sperm flagellum development and fertilization in male reproduction. In total, 438 differentially expressed transcripts (DETs) were identified in the LIVs in a comparison of females vs. males, and 214 DETs were identified in the MUSCs between females and males. Additionally, 14,735, 36,347, and 33,885 DETs were detected in MUSC vs. LIV, MUSC vs. TEST, and OVA vs. TEST comparisons, respectively, revealing the complexity of the TEST. Gene Set Enrichment Analysis (GSEA) showed that these DETs were mainly involved in the "spermatogenesis", "flagellated sperm motility", "spermatid development", "reproduction", "reproductive process", and "microtubule-based movement" KEGG pathways. Additional studies are necessary to further characterize the transcriptome in different cell types, developmental stages, and physiological conditions in bovines and ascertain the functions of the novel transcripts.
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Affiliation(s)
- Xinyue Liu
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.W.); (M.L.); (F.Z.)
| | - Jiaxin Wu
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.W.); (M.L.); (F.Z.)
| | - Meichen Li
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.W.); (M.L.); (F.Z.)
| | - Fuyuan Zuo
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.W.); (M.L.); (F.Z.)
- Beef Cattle Engineering and Technology Research Center of Chongqing, Southwest University, Rongchang, Chongqing 402460, China
| | - Gongwei Zhang
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.W.); (M.L.); (F.Z.)
- Beef Cattle Engineering and Technology Research Center of Chongqing, Southwest University, Rongchang, Chongqing 402460, China
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Xiong F, Wang D, Xiong W, Wang X, Huang WH, Wu GH, Liu WZ, Wang Q, Chen JS, Kuai YY, Wang B, Chen YJ. Unveiling the role of HP1α-HDAC1-STAT1 axis as a therapeutic target for HP1α-positive intrahepatic cholangiocarcinoma. J Exp Clin Cancer Res 2024; 43:152. [PMID: 38812060 PMCID: PMC11137995 DOI: 10.1186/s13046-024-03070-3] [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: 05/17/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Intrahepatic cholangiocarcinoma (ICCA) is a heterogeneous group of malignant tumors characterized by high recurrence rate and poor prognosis. Heterochromatin Protein 1α (HP1α) is one of the most important nonhistone chromosomal proteins involved in transcriptional silencing via heterochromatin formation and structural maintenance. The effect of HP1α on the progression of ICCA remained unclear. METHODS The effect on the proliferation of ICCA was detected by experiments in two cell lines and two ICCA mouse models. The interaction between HP1α and Histone Deacetylase 1 (HDAC1) was determined using Electrospray Ionization Mass Spectrometry (ESI-MS) and the binding mechanism was studied using immunoprecipitation assays (co-IP). The target gene was screened out by RNA sequencing (RNA-seq). The occupation of DNA binding proteins and histone modifications were predicted by bioinformatic methods and evaluated by Cleavage Under Targets and Tagmentation (CUT & Tag) and Chromatin immunoprecipitation (ChIP). RESULTS HP1α was upregulated in intrahepatic cholangiocarcinoma (ICCA) tissues and regulated the proliferation of ICCA cells by inhibiting the interferon pathway in a Signal Transducer and Activator of Transcription 1 (STAT1)-dependent manner. Mechanistically, STAT1 is transcriptionally regulated by the HP1α-HDAC1 complex directly and epigenetically via promoter binding and changes in different histone modifications, as validated by high-throughput sequencing. Broad-spectrum HDAC inhibitor (HDACi) activates the interferon pathway and inhibits the proliferation of ICCA cells by downregulating HP1α and targeting the heterodimer. Broad-spectrum HDACi plus interferon preparation regimen was found to improve the antiproliferative effects and delay ICCA development in vivo and in vitro, which took advantage of basal activation as well as direct activation of the interferon pathway. HP1α participates in mediating the cellular resistance to both agents. CONCLUSIONS HP1α-HDAC1 complex influences interferon pathway activation by directly and epigenetically regulating STAT1 in transcriptional level. The broad-spectrum HDACi plus interferon preparation regimen inhibits ICCA development, providing feasible strategies for ICCA treatment. Targeting the HP1α-HDAC1-STAT1 axis is a possible strategy for treating ICCA, especially HP1α-positive cases.
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Affiliation(s)
- Fei Xiong
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University Beijing, Beijing, 100050, China
| | - Da Wang
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China
| | - Wei Xiong
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Xin Wang
- Departement of Pediatric Surgery, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, 430016, China
| | - Wen-Hua Huang
- Department of Emergency, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Guan-Hua Wu
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China
| | - Wen-Zheng Liu
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China
| | - Qi Wang
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China
| | - Jun-Sheng Chen
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China
| | - Yi-Yang Kuai
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China
| | - Bing Wang
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China.
| | - Yong-Jun Chen
- Department of Biliary‑Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Road, Wuhan, Hubei, 430074, China.
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24
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Liu W, Kurkewich JL, Stoddart A, Khan S, Anandan D, Gaubil AN, Wolfgeher DJ, Jueng L, Kron SJ, McNerney ME. CUX1 regulates human hematopoietic stem cell chromatin accessibility via the BAF complex. Cell Rep 2024; 43:114227. [PMID: 38735044 PMCID: PMC11163479 DOI: 10.1016/j.celrep.2024.114227] [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: 07/27/2023] [Revised: 03/16/2024] [Accepted: 04/26/2024] [Indexed: 05/14/2024] Open
Abstract
CUX1 is a homeodomain-containing transcription factor that is essential for the development and differentiation of multiple tissues. CUX1 is recurrently mutated or deleted in cancer, particularly in myeloid malignancies. However, the mechanism by which CUX1 regulates gene expression and differentiation remains poorly understood, creating a barrier to understanding the tumor-suppressive functions of CUX1. Here, we demonstrate that CUX1 directs the BAF chromatin remodeling complex to DNA to increase chromatin accessibility in hematopoietic cells. CUX1 preferentially regulates lineage-specific enhancers, and CUX1 target genes are predictive of cell fate in vivo. These data indicate that CUX1 regulates hematopoietic lineage commitment and homeostasis via pioneer factor activity, and CUX1 deficiency disrupts these processes in stem and progenitor cells, facilitating transformation.
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Affiliation(s)
- Weihan Liu
- Department of Pathology, The University of Chicago, Chicago, IL 60637, USA; Committee on Cancer Biology, The University of Chicago, Chicago, IL 60637, USA
| | | | - Angela Stoddart
- Department of Pathology, The University of Chicago, Chicago, IL 60637, USA
| | - Saira Khan
- Department of Pathology, The University of Chicago, Chicago, IL 60637, USA
| | - Dhivyaa Anandan
- Department of Pathology, The University of Chicago, Chicago, IL 60637, USA
| | - Alexandre N Gaubil
- Department of Pathology, The University of Chicago, Chicago, IL 60637, USA
| | - Donald J Wolfgeher
- Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, IL 60637, USA
| | - Lia Jueng
- Department of Pathology, The University of Chicago, Chicago, IL 60637, USA
| | - Stephen J Kron
- The University of Chicago Medicine Comprehensive Cancer Center, The University of Chicago, Chicago, IL 60637, USA; Committee on Cancer Biology, The University of Chicago, Chicago, IL 60637, USA; Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, IL 60637, USA
| | - Megan E McNerney
- Department of Pathology, The University of Chicago, Chicago, IL 60637, USA; The University of Chicago Medicine Comprehensive Cancer Center, The University of Chicago, Chicago, IL 60637, USA; Committee on Cancer Biology, The University of Chicago, Chicago, IL 60637, USA; Department of Pediatrics, Section of Hematology/Oncology, The University of Chicago, Chicago, IL 60637, USA.
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25
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Linck Moroni J, Tsoi S, Wenger II, Plastow GS, Dyck MK. Placental Transcriptome Analysis in Connection with Low Litter Birth Weight Phenotype (LBWP) Sows. Genes (Basel) 2024; 15:703. [PMID: 38927639 PMCID: PMC11203121 DOI: 10.3390/genes15060703] [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: 04/07/2024] [Revised: 05/16/2024] [Accepted: 05/21/2024] [Indexed: 06/28/2024] Open
Abstract
It is possible to identify sub-populations of sows in every pig herd that consistently give birth to low birth weight (BW) piglets, irrespective of the litter size. A previous study from our group demonstrated that placental development is a main factor affecting the litter birth weight phenotype (LBWP) in sows, thereby impacting the BW of entire litters, but the biological and molecular pathways behind this phenomenon are largely unknown. The aim of this study was to investigate the differential gene expression in placental tissues at day 30 of gestation between low LBWP (LLBWP) vs. high LBWP (HLBWP) sows from a purebred Large White maternal line. Using mRNA sequencing, we found 45 differentially expressed genes (DEGs) in placental tissues of LLBWP and HLBWP sows. Furthermore, (GO) enrichment of upregulated DEGs predicted that there were two biological processes significantly related to cornification and regulation of cell population proliferation. To better understand the molecular interaction between cell proliferation and cornification, we conducted transcriptional factor binding site (TFBS) prediction analysis. The results indicated that a highly significant TFBS was located at the 5' upstream of all four upregulated genes (CDSN, DSG3, KLK14, KRT17), recognized by transcription factors EGR4 and FOSL1. Our findings provide novel insight into how transcriptional regulation of two different biological processes interact in placental tissues of LLBWP sows.
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Affiliation(s)
| | | | | | | | - Michael K. Dyck
- Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada; (J.L.M.); (S.T.); (I.I.W.); (G.S.P.)
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26
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Yang X, Han Y, Huo G, Ge G, He S, Yang X, Zhang L, Wei S, Luo L. Integrated transcriptomic and metabolomic analysis provides insights into cold tolerance in lettuce (Lactuca sativa L.). BMC PLANT BIOLOGY 2024; 24:442. [PMID: 38778262 PMCID: PMC11112944 DOI: 10.1186/s12870-024-05099-0] [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: 01/09/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024]
Abstract
The popular leafy vegetable lettuce (Lactuca sativa L.) is susceptible to cold stress during the growing season, which slows growth rate, causes leaf yellowing and necrosis, and reduced yield and quality. In this study, transcriptomic and metabolomic analyses of two cold-resistant lettuce cultivars (GWAS-W42 and F11) and two cold-sensitive lettuce cultivars (S13K079 and S15K058) were performed to identify the mechanisms involved in the cold response of lettuce. Overall, transcriptome analysis identified 605 differentially expressed genes (DEGs), including significant enrichment of genes involved in the flavonoid and flavonol (CHS, CHI, F3H, FLS, CYP75B1, HCT, etc.) biosynthetic pathways related to oxidation-reduction and catalytic activity. Untargeted metabolomic analysis identified fifteen flavonoid metabolites and 28 other metabolites potentially involved in the response to cold stress; genistein, quercitrin, quercetin derivatives, kaempferol derivatives, luteolin derivatives, apigenin and their derivatives accumulate at higher levels in cold-resistant cultivars. Moreover, MYBs, bHLHs, WRKYs and Dofs also play positive role in the low temperature response, which affected the expression of structural genes contributing to the variation of metabolites between the resistant and sensitive. These results provide valuable evidence that the metabolites and genes involved in the flavonoid biosynthetic pathway play important roles in the response of lettuce to cold stress.
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Affiliation(s)
- Xiao Yang
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
| | - Yingying Han
- Institute of Biothermal Science and Technology, School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai, 200093, China
| | - Guotao Huo
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
| | - Guojun Ge
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
| | - Shuping He
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
| | - Xiao Yang
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, 610213, China
| | - Li Zhang
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu National Agricultural Science and Technology Center, Chengdu, 610213, China.
| | - Shiwei Wei
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China.
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China.
| | - Lijun Luo
- Shanghai Agrobiological Gene Center, Shanghai, 201106, China
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
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27
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Wang S, Yan N, Yang Y, Sun L, Huang Y, Zhang J, Xu G. Screening of drug targets for tuberculosis on the basis of transcription factor regulatory network and mRNA sequencing technology. Front Mol Biosci 2024; 11:1410445. [PMID: 38841189 PMCID: PMC11150615 DOI: 10.3389/fmolb.2024.1410445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 04/24/2024] [Indexed: 06/07/2024] Open
Abstract
Background Tuberculosis is a worldwide epidemic disease, posing a serious threat to human health. To find effective drug action targets for Mycobacterium tuberculosis, differentially expressed genes in tuberculosis patients and healthy people were screened by mRNA sequencing in this study. A total of 556 differentially expressed genes in tuberculosis patients and healthy people were screened out by mRNA sequencing technology. 26 transcription factors and 66 corresponding target genes were screened out in the AnimalTFDB 3.0 database, and a transcription factor regulatory network was constructed. Results Three key transcription factors (TP53, KLF5 and GATA2) and one key gene (AKT1) were screened as new potential drug targets and diagnostic targets for tuberculosis by MCODE cluster analysis, and the key genes and key transcription factors were verified by RT-PCR. Finally, we constructed the and a key factor and KEGG signaling pathway regulatory network to clarify the possible molecular pathogenesis of tuberculosis. Conclusion This study suggested M. tuberculosis may activate the AKT1 gene expression by regulating transcription factors TP53, KLF5, and GATA2, thus activating the B cell receptor signaling pathway to induce the infection and invasion of M. tuberculosis. AKT1, TP53, KLF5, and GATA2 can be used as new potential drug targets for tuberculosis.
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Affiliation(s)
- Shuai Wang
- Department of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China
| | - Na Yan
- Department of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China
| | - Yue Yang
- College of Pharmacy, Beihua University, Jilin, Jilin, China
| | - Li Sun
- Department of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China
| | - Yingxin Huang
- Department of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China
| | - Jian Zhang
- Department of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China
| | - Guangyu Xu
- College of Pharmacy, Beihua University, Jilin, Jilin, China
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28
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Moye AL, Dost AF, Ietswaart R, Sengupta S, Ya V, Aluya C, Fahey CG, Louie SM, Paschini M, Kim CF. Early-stage lung cancer is driven by a transitional cell state dependent on a KRAS-ITGA3-SRC axis. EMBO J 2024:10.1038/s44318-024-00113-5. [PMID: 38755258 DOI: 10.1038/s44318-024-00113-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/04/2024] [Accepted: 04/17/2024] [Indexed: 05/18/2024] Open
Abstract
Glycine-12 mutations in the GTPase KRAS (KRASG12) are an initiating event for development of lung adenocarcinoma (LUAD). KRASG12 mutations promote cell-intrinsic rewiring of alveolar type-II progenitor (AT2) cells, but to what extent such changes interplay with lung homeostasis and cell fate pathways is unclear. Here, we generated single-cell RNA-seq (scRNA-seq) profiles from AT2-mesenchyme organoid co-cultures, mice, and stage-IA LUAD patients, identifying conserved regulators of AT2 transcriptional dynamics and defining the impact of KRASG12D mutation with temporal resolution. In AT2WT organoids, we found a transient injury/plasticity state preceding AT2 self-renewal and AT1 differentiation. Early-stage AT2KRAS cells exhibited perturbed gene expression dynamics, most notably retention of the injury/plasticity state. The injury state in AT2KRAS cells of patients, mice, and organoids was distinguishable from AT2WT states via altered receptor expression, including co-expression of ITGA3 and SRC. The combination of clinically relevant KRASG12D and SRC inhibitors impaired AT2KRAS organoid growth. Together, our data show that an injury/plasticity state essential for lung repair is co-opted during AT2 self-renewal and LUAD initiation, suggesting that early-stage LUAD may be susceptible to interventions that target specifically the oncogenic nature of this cell state.
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Affiliation(s)
- Aaron L Moye
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Antonella Fm Dost
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Hubrecht Institute, Oncode Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), Utrecht, The Netherlands
| | | | - Shreoshi Sengupta
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - VanNashlee Ya
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Chrystal Aluya
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Caroline G Fahey
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Harvard University and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sharon M Louie
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Margherita Paschini
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Carla F Kim
- Stem Cell Program and Divisions of Hematology/Oncology and Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
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29
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Li X, Hou Z, Meng S, Jia Q, Xing S, Wang Z, Chen M, Xu H, Li M, Cai H. LncRNA BlncAD1 Modulates Bovine Adipogenesis by Binding to MYH10, PI3K/Akt Signaling Pathway, and miR-27a-5p/CDK6 Axis. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:11094-11110. [PMID: 38661523 DOI: 10.1021/acs.jafc.4c00165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Research on adipogenesis will help to improve the meat quality of livestock. Long noncoding RNAs (lncRNAs) are involved in mammalian adipogenesis as epigenetic modulators. In this study, we analyzed lncRNA expression during bovine adipogenesis and detected 195 differentially expressed lncRNAs, including lncRNA BlncAD1, which was significantly upregulated in mature bovine adipocytes. Gain- and loss-of-function experiments confirmed that BlncAD1 promoted the proliferation, apoptosis, and differentiation of bovine preadipocytes. RNA pull-down revealed that the nonmuscle myosin 10 (MYH10) is a potential binding protein of BlncAD1. Then, we elucidated that loss of BlncAD1 caused increased ubiquitination of MYH10, which confirmed that BlncAD1 regulates adipogenesis by enhancing the stability of the MYH10 protein. Western blotting was used to demonstrate that BlncAD1 activated the PI3K/Akt signaling pathway. Bioinformatic analysis and dual-luciferase reporter assays indicated that BlncAD1 competitively absorbed miR-27a-5p. The overexpression and interference of miR-27a-5p in bovine preadipocytes displayed that miR-27a-5p inhibited proliferation, apoptosis, and differentiation. Further results suggested that miR-27a-5p targeted the CDK6 gene and that BlncAD1 controlled the proliferation of bovine preadipocytes by modulating the miR-27a-5p/CDK6 axis. This study revealed the complex mechanisms of BlncAD1 underlying bovine adipogenesis for the first time, which would provide useful information for genetics and breeding improvement of Chinese beef cattle.
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Affiliation(s)
- Xin Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Zhongyi Hou
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Shengbo Meng
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Qihui Jia
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Shanshan Xing
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Zhitong Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Mengjuan Chen
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Huifen Xu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Ming Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
| | - Hanfang Cai
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China
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30
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Singh R, Wu AP, Mudide A, Berger B. Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors. Cell Syst 2024; 15:462-474.e5. [PMID: 38754366 DOI: 10.1016/j.cels.2024.04.005] [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: 04/14/2023] [Revised: 08/25/2023] [Accepted: 04/18/2024] [Indexed: 05/18/2024]
Abstract
Single-cell expression dynamics, from differentiation trajectories or RNA velocity, have the potential to reveal causal links between transcription factors (TFs) and their target genes in gene regulatory networks (GRNs). However, existing methods either overlook these expression dynamics or necessitate that cells be ordered along a linear pseudotemporal axis, which is incompatible with branching trajectories. We introduce Velorama, an approach to causal GRN inference that represents single-cell differentiation dynamics as a directed acyclic graph of cells, constructed from pseudotime or RNA velocity measurements. Additionally, Velorama enables the estimation of the speed at which TFs influence target genes. Applying Velorama, we uncover evidence that the speed of a TF's interactions is tied to its regulatory function. For human corticogenesis, we find that slow TFs are linked to gliomas, while fast TFs are associated with neuropsychiatric diseases. We expect Velorama to become a critical part of the RNA velocity toolkit for investigating the causal drivers of differentiation and disease.
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Affiliation(s)
- Rohit Singh
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA.
| | - Alexander P Wu
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA
| | - Anish Mudide
- Phillips Exeter Academy, Exeter, NH 03883, USA; Computer Science and Artificial Intelligence Laboratory and Department of Mathematics, MIT, Cambridge, MA 02139, USA
| | - Bonnie Berger
- Computer Science and Artificial Intelligence Laboratory and Department of Mathematics, MIT, Cambridge, MA 02139, USA.
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31
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Zinati Y, Takiddeen A, Emad A. GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks. Nat Commun 2024; 15:4055. [PMID: 38744843 DOI: 10.1038/s41467-024-48516-6] [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: 07/31/2023] [Accepted: 05/01/2024] [Indexed: 05/16/2024] Open
Abstract
We introduce GRouNdGAN, a gene regulatory network (GRN)-guided reference-based causal implicit generative model for simulating single-cell RNA-seq data, in silico perturbation experiments, and benchmarking GRN inference methods. Through the imposition of a user-defined GRN in its architecture, GRouNdGAN simulates steady-state and transient-state single-cell datasets where genes are causally expressed under the control of their regulating transcription factors (TFs). Training on six experimental reference datasets, we show that our model captures non-linear TF-gene dependencies and preserves gene identities, cell trajectories, pseudo-time ordering, and technical and biological noise, with no user manipulation and only implicit parameterization. GRouNdGAN can synthesize cells under new conditions to perform in silico TF knockout experiments. Benchmarking various GRN inference algorithms reveals that GRouNdGAN effectively bridges the existing gap between simulated and biological data benchmarks of GRN inference algorithms, providing gold standard ground truth GRNs and realistic cells corresponding to the biological system of interest.
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Affiliation(s)
- Yazdan Zinati
- Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada
| | - Abdulrahman Takiddeen
- Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada
| | - Amin Emad
- Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.
- Mila, Quebec AI Institute, Montreal, QC, Canada.
- The Rosalind and Morris Goodman Cancer Institute, Montreal, QC, Canada.
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32
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Xu X, Zheng Y, Luo L, You Z, Chen H, Wang J, Zhang F, Liu Y, Ke Y. Glioblastoma stem cells deliver ABCB4 transcribed by ATF3 via exosomes conferring glioblastoma resistance to temozolomide. Cell Death Dis 2024; 15:318. [PMID: 38710703 PMCID: PMC11074105 DOI: 10.1038/s41419-024-06695-6] [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: 11/19/2023] [Revised: 04/13/2024] [Accepted: 04/18/2024] [Indexed: 05/08/2024]
Abstract
Glioblastoma stem cells (GSCs) play a key role in glioblastoma (GBM) resistance to temozolomide (TMZ) chemotherapy. With the increase in research on the tumour microenvironment, exosomes secreted by GSCs have become a new focus in GBM research. However, the molecular mechanism by which GSCs affect drug resistance in GBM cells via exosomes remains unclear. Using bioinformatics analysis, we identified the specific expression of ABCB4 in GSCs. Subsequently, we established GSC cell lines and used ultracentrifugation to extract secreted exosomes. We conducted in vitro and in vivo investigations to validate the promoting effect of ABCB4 and ABCB4-containing exosomes on TMZ resistance. Finally, to identify the transcription factors regulating the transcription of ABCB4, we performed luciferase assays and chromatin immunoprecipitation-quantitative PCR. Our results indicated that ABCB4 is highly expressed in GSCs. Moreover, high expression of ABCB4 promoted the resistance of GSCs to TMZ. Our study found that GSCs can also transmit their highly expressed ABCB4 to differentiated glioma cells (DGCs) through exosomes, leading to high expression of ABCB4 in these cells and promoting their resistance to TMZ. Mechanistic studies have shown that the overexpression of ABCB4 in GSCs is mediated by the transcription factor ATF3. In conclusion, our results indicate that GSCs can confer resistance to TMZ in GBM by transmitting ABCB4, which is transcribed by ATF3, through exosomes. This mechanism may lead to drug resistance and recurrence of GBM. These findings contribute to a deeper understanding of the mechanisms underlying drug resistance in GBM and provide novel insights into its treatment.
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Affiliation(s)
- Xiangdong Xu
- Department of Neuro-oncological Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
- The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
| | - Yaofeng Zheng
- Department of Neuro-oncological Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
- The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
| | - Linting Luo
- Department of Neurology, Liwan Central Hospital of Guangzhou, Guangzhou, PR China
| | - Zhongsheng You
- Department of Neuro-oncological Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
- The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
| | - Huajian Chen
- Department of Neuro-oncological Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
- The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
| | - Jihui Wang
- Department of Neuro-oncological Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
- The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China
| | - Fabing Zhang
- Department of Neuro-oncological Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China.
- The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China.
| | - Yang Liu
- Department of Neuro-oncological Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China.
- The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China.
| | - Yiquan Ke
- Department of Neuro-oncological Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China.
- The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, PR China.
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Wang S, Huang C, Zheng Y, Wu X, Zhong Y. NPAS2, transcriptionally activated by ARRB1, promotes the malignant behaviours of lung adenocarcinoma cells and regulates the reprogramming of glucose metabolism. Clin Exp Pharmacol Physiol 2024; 51:e13860. [PMID: 38584327 DOI: 10.1111/1440-1681.13860] [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: 10/23/2023] [Revised: 03/14/2024] [Accepted: 03/20/2024] [Indexed: 04/09/2024]
Abstract
Lung adenocarcinoma (LUAD) is a serious threat to public health and is accompanied by increased morbidity and mortality worldwide. Neuronal PAS domain protein2 (NPAS2) has been confirmed as an oncogene in LUAD; however, little is known about its molecular mechanism. Here, the expression level of NPAS2 was detected in LUAD cell lines and 16HBE cells. Gain- and loss-of-function experiments were performed. Cell Counting Kit-8, colony formation, flow cytometry, wound-healing and Transwell assays were conducted to assess cell proliferation, apoptosis, migration and invasion, respectively. Reprogramming of glucose metabolism was evaluated via oxygen consumption rate (OCR), complexes activities, lactic production and glucose consumption. The expression of critical proteins was examined by western blot. We demonstrated aberrant upregulation of NPAS2 and β-arrestin-1 (ARRB1) in LUAD cell lines. ARRB1 was found to be a critical transcription factor of NPAS2 with binding sites within the promoter region of NPAS2, thereby causing its transcriptional activation. Functional experiments revealed that NPAS2 depletion significantly inhibited the malignant behaviours of A549 cells by suppressing cell proliferation, migration, invasion and epithelial-mesenchymal transition and promoting cell apoptosis. Meanwhile, NPAS2 depletion increased OCR and activities of complexes (I, II, III and V), and reduced lactic acid production and glucose uptake in A549 cells, indicating that NPAS2 depletion inhibited aerobic glycolysis, accompanied by reduced expression of glycolytic enzymes. However, the changes caused by NPAS2 knockdown were partly restored by ARRB1 overexpression. In conclusion, our study suggests that ARRB1 could transcriptionally activate NPAS2, facilitating malignant activities and glycolysis, and ultimately promoting the progression of LUAD, proving a novel therapeutic strategy for the treatment of LUAD.
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Affiliation(s)
- Shenglan Wang
- Department of Clinical Laboratory, LongYan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
| | - Chunhong Huang
- Department of Clinical Laboratory, LongYan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
| | - Yanbin Zheng
- Department of Clinical Laboratory, LongYan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
| | - Xinjie Wu
- Emergency Department, LongYan People Hospital of Fujian, Longyan, Fujian, China
| | - Yutong Zhong
- Department of Clinical Laboratory, LongYan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
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Li S, Zhang Z, Li Z, Yang L, Liu J, Liu Y, Liu Y, Hou Y, Mei M, Huang Y. CENPA promotes glutamine metabolism and tumor progression by up-regulating SLC38A1 in endometrial cancer. Cell Signal 2024; 117:111110. [PMID: 38382691 DOI: 10.1016/j.cellsig.2024.111110] [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: 12/01/2023] [Revised: 01/28/2024] [Accepted: 02/18/2024] [Indexed: 02/23/2024]
Abstract
Glutamine addiction is a significant hallmark of metabolic reprogramming in tumors and is crucial to the progression of cancer. Nevertheless, the regulatory mechanisms of glutamine metabolism in endometrial cancer (EC) remains elusive. In this research, we found that elevated expression of CENPA and solute carrier family 38 member 1 (SLC38A1) were firmly associated with worse clinical stage and unfavorable outcomes in EC patients. In addition, ectopic overexpression or silencing of CENPA could either enhance or diminish glutamine metabolism and tumor progression in EC. Mechanistically, CENPA directly regulated the transcriptional activity of the target gene, SLC38A1, leading to enhanced glutamine uptake and metabolism, thereby promoting EC progression. Notably, a prognostic model utilizing the expression levels of CENPA and SLC38A1 genes independently emerged as a prognostic factor for EC. More importantly, CENPA and SLC38A1 were significantly elevated and positively correlated, as well as indicative of poor prognosis in multiple cancers. In brief, our study confirmed that CENPA is a critical transcription factor involved in glutamine metabolism and tumor progression through modulating SLC38A1. This revelation suggests that targeting CENPA could be an appealing therapeutic approach to address pan-cancer glutamine addiction.
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Affiliation(s)
- Shuang Li
- Department of Gynecology and Obstetrics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, China
| | - Zihui Zhang
- Department of Gynecology and Obstetrics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, China
| | - Zhifang Li
- Department of Gynecology and Obstetrics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, China
| | - Lian Yang
- Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Jianfeng Liu
- Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Yujie Liu
- Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Yancai Liu
- Department of Gynecology and Obstetrics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, China
| | - Yanmei Hou
- Department of Gynecology and Obstetrics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, China
| | - Mei Mei
- Department of Gynecology and Obstetrics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, China.
| | - Yuqin Huang
- Department of Gynecology and Obstetrics, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, China.
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Zhao Z, Cai Z, Zhang S, Yin X, Jiang T, Shen C, Yin Y, Sun H, Chen Z, Han J, Zhang B. Activation of the FOXM1/ASF1B/PRDX3 axis confers hyperproliferative and antioxidative stress reactivity to gastric cancer. Cancer Lett 2024; 589:216796. [PMID: 38537775 DOI: 10.1016/j.canlet.2024.216796] [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: 10/03/2023] [Revised: 02/02/2024] [Accepted: 03/04/2024] [Indexed: 04/07/2024]
Abstract
Nucleosome assembly during DNA replication is dependent on histone chaperones. Recent studies suggest that dysregulated histone chaperones contribute to cancer progression, including gastric cancer (GC). Further studies are required to explore the prognostic and therapeutic implications of histone chaperones and their mechanisms of action in GC progression. Here we identified histone chaperone ASF1B as a potential biomarker for GC proliferation and prognosis. ASF1B was significantly upregulated in GC, which was associated with poor prognosis. In vitro and in vivo experiments demonstrated that the inhibition of ASF1B suppressed the malignant characteristics of GC, while overexpression of ASF1B had the opposite effect. Mechanistically, transcription factor FOXM1 directly bound to the ASF1B-promoter region, thereby regulating its transcription. Treatment with thiostrepton, a FOXM1 inhibitor, not only suppressed ASF1B expression, but also inhibited GC progression. Furthermore, ASF1B regulated the mitochondrial protein peroxiredoxin 3 (PRDX3) transcription in a FOXM1-dependent manner. The crucial role of ASF1B-regulated PRDX3 in GC cell proliferation and oxidative stress balance was also elucidated. In summary, our study suggests that the FOXM1-ASF1B-PRDX3 axis is a potential therapeutic target for treating GC.
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Affiliation(s)
- Zhou Zhao
- Gastric Cancer Center, Department of General Surgery, Research Laboratory of Tumor Epigenetics and Genomics, West China Hospital, Sichuan University, Chengdu, China; Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Zhaolun Cai
- Gastric Cancer Center, Department of General Surgery, Research Laboratory of Tumor Epigenetics and Genomics, West China Hospital, Sichuan University, Chengdu, China
| | - Su Zhang
- State Key Laboratory of Biotherapy and Cancer Center, and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaonan Yin
- Gastric Cancer Center, Department of General Surgery, Research Laboratory of Tumor Epigenetics and Genomics, West China Hospital, Sichuan University, Chengdu, China
| | - Tianxiang Jiang
- Gastric Cancer Center, Department of General Surgery, Research Laboratory of Tumor Epigenetics and Genomics, West China Hospital, Sichuan University, Chengdu, China
| | - Chaoyong Shen
- Gastric Cancer Center, Department of General Surgery, Research Laboratory of Tumor Epigenetics and Genomics, West China Hospital, Sichuan University, Chengdu, China
| | - Yuan Yin
- Gastric Cancer Center, Department of General Surgery, Research Laboratory of Tumor Epigenetics and Genomics, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Sun
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Zhixin Chen
- Gastric Cancer Center, Department of General Surgery, Research Laboratory of Tumor Epigenetics and Genomics, West China Hospital, Sichuan University, Chengdu, China
| | - Junhong Han
- State Key Laboratory of Biotherapy and Cancer Center, and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
| | - Bo Zhang
- Gastric Cancer Center, Department of General Surgery, Research Laboratory of Tumor Epigenetics and Genomics, West China Hospital, Sichuan University, Chengdu, China.
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Çıldır ÖŞ, Özmen Ö, Kul S, Rişvanlı A, Özalp G, Sabuncu A, Kul O. Genetic analysis of PALB2 gene WD40 domain in canine mammary tumour patients. Vet Med Sci 2024; 10:e1366. [PMID: 38527110 PMCID: PMC10962921 DOI: 10.1002/vms3.1366] [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: 05/11/2023] [Revised: 11/30/2023] [Accepted: 01/07/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND DNA repair mechanisms are essential for tumorigenesis and disruption of HR mechanism is an important predisposing factor of human breast cancers (BC). PALB2 is an important part of the HR. There are similarities between canine mammary tumours (CMT) and BCs. As its human counterpart, PALB2 mutations could be a predisposing factor of CMT. OBJECTIVES In this study, we aimed to investigate the impacts of PALB2 variants on tumorigenesis and canine mammary tumor (CMT) malignancy. METHODS We performed Sanger sequencing to detect germline mutations in the WD40 domain of the canine PALB2 gene in CMT patients. We conducted in silico analysis to investigate the variants, and compared the germline PALB2 mutations in humans that cause breast cancer (BC) with the variants detected in dogs with CMT. RESULTS We identified an intronic (c.3096+8C>G) variant, two exonic (p.A1050V and p.R1354R) variants, and a 3' UTR variant (c.4071T>C). Of these, p.R1354R and c.4071T>C novel variants were identified for the first time in this study. We found that the p.A1050V mutation had a significant effect. However, we could not determine sufficient similarity due to the differences in nucleotide/amino acid sequences between two species. Nonetheless, possible variants of human sequences in the exact location as their dog counterparts are associated with several cancer types, implying that the variants could be crucial for tumorigenesis in dogs. Our results did not show any effect of the variants on tumor malignancy. CONCLUSIONS The current project is the first study investigating the relationship between the PALB2 gene WD40 domain and CMTs. Our findings will contribute to a better understanding of the pathogenic mechanism of the PALB2 gene in CMTs. In humans, variant positions in canines have been linked to cancer-related phenotypes such as familial BC, endometrial tumor, and hereditary cancer predisposition syndrome. The results of bioinformatics analyses should be investigated through functional tests or case-control studies.
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Affiliation(s)
- Özge Şebnem Çıldır
- Department of GeneticsFaculty of Veterinary MedicineKafkas UniversityKarsTürkiye
- Department of GeneticsFaculty of Veterinary MedicineAnkara UniversityAnkaraTürkiye
| | - Özge Özmen
- Department of GeneticsFaculty of Veterinary MedicineAnkara UniversityAnkaraTürkiye
| | - Selim Kul
- Department of Animal BreedingFaculty of Veterinary MedicineYozgat Bozok UniversityYozgatTürkiye
| | - Ali Rişvanlı
- Department of Obstetrics and GynecologyFaculty of Veterinary MedicineFırat UniversityElazığTürkiye
- Department of Obstetrics and GynecologyFaculty of Veterinary MedicineKyrgyz‐Turkish Manas UniversityBishkekKyrgyzstan
| | - Gözde Özalp
- Department of Obstetrics and GynecologyFaculty of Veterinary MedicineBursa Uludağ UniversityBursaTürkiye
| | - Ahmet Sabuncu
- Department of Obstetrics and GynecologyFaculty of Veterinary Medicineİstanbul UniversityİstanbulTürkiye
| | - Oğuz Kul
- Department of PathologyFaculty of Veterinary MedicineKırıkkale UniversityKırıkkaleTürkiye
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Fang S, Luo Z, Wei Z, Qin Y, Zheng J, Zhang H, Jin J, Li J, Miao C, Yang S, Li Y, Liang Z, Yu XD, Zhang XM, Xiong W, Zhu H, Gan WB, Huang L, Li B. Sexually dimorphic control of affective state processing and empathic behaviors. Neuron 2024; 112:1498-1517.e8. [PMID: 38430912 DOI: 10.1016/j.neuron.2024.02.001] [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: 11/20/2022] [Revised: 12/08/2023] [Accepted: 02/01/2024] [Indexed: 03/05/2024]
Abstract
Recognizing the affective states of social counterparts and responding appropriately fosters successful social interactions. However, little is known about how the affective states are expressed and perceived and how they influence social decisions. Here, we show that male and female mice emit distinct olfactory cues after experiencing distress. These cues activate distinct neural circuits in the piriform cortex (PiC) and evoke sexually dimorphic empathic behaviors in observers. Specifically, the PiC → PrL pathway is activated in female observers, inducing a social preference for the distressed counterpart. Conversely, the PiC → MeA pathway is activated in male observers, evoking excessive self-grooming behaviors. These pathways originate from non-overlapping PiC neuron populations with distinct gene expression signatures regulated by transcription factors and sex hormones. Our study unveils how internal states of social counterparts are processed through sexually dimorphic mechanisms at the molecular, cellular, and circuit levels and offers insights into the neural mechanisms underpinning sex differences in higher brain functions.
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Affiliation(s)
- Shunchang Fang
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Zhengyi Luo
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Zicheng Wei
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yuxin Qin
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Jieyan Zheng
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Hongyang Zhang
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Jianhua Jin
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Jiali Li
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Chenjian Miao
- Institute on Aging, Hefei, China and Brain Disorders, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Shana Yang
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yonglin Li
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Zirui Liang
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Xiao-Dan Yu
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Xiao Min Zhang
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China
| | - Wei Xiong
- Institute on Aging, Hefei, China and Brain Disorders, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Hongying Zhu
- Institute on Aging, Hefei, China and Brain Disorders, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | | | - Lianyan Huang
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China; Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-Sen University), Ministry of Education, Guangzhou 510655, China.
| | - Boxing Li
- Neuroscience Program, Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine and the Fifth Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China; Advanced Medical Technology Center, the First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China; Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-Sen University), Ministry of Education, Guangzhou 510655, China.
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Ma C, Zhang Y, Ding R, Chen H, Wu X, Xu L, Yu C. In search of the ratio of miRNA expression as robust biomarkers for constructing stable diagnostic models among multi-center data. Front Genet 2024; 15:1381917. [PMID: 38746057 PMCID: PMC11091382 DOI: 10.3389/fgene.2024.1381917] [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: 02/04/2024] [Accepted: 04/10/2024] [Indexed: 05/16/2024] Open
Abstract
MicroRNAs (miRNAs) are promising biomarkers for the early detection of disease, and many miRNA-based diagnostic models have been constructed to distinguish patients and healthy individuals. To thoroughly utilize the miRNA-profiling data across different sequencing platforms or multiple centers, the models accounting the batch effects were demanded for the generalization of medical application. We conducted transcription factor (TF)-mediated miRNA-miRNA interaction network analysis and adopted the within-sample expression ratios of miRNA pairs as predictive markers. The ratio of the expression values between each miRNA pair turned out to be stable across multiple data sources. A genetic algorithm-based classifier was constructed to quantify risk scores of the probability of disease and discriminate disease states from normal states in discovery, with a validation dataset for COVID-19, renal cell carcinoma, and lung adenocarcinoma. The predictive models based on the expression ratio of interacting miRNA pairs demonstrated good performances in the discovery and validation datasets, and the classifier may be used accurately for the early detection of disease.
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Affiliation(s)
- Cuidie Ma
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Yonghao Zhang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Rui Ding
- State Key Laboratory of Complex Severe and Rare Diseases, Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Han Chen
- Shenyang Medical College, Shenyang, China
| | - Xudong Wu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Lida Xu
- Beijing Hotgen Biotech Co., Ltd., Beijing, China
| | - Changyuan Yu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
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Li C, Wang Y, Sun X, Yang J, Ren Y, Jia J, Yang G, Liao M, Jin J, Shi X. Identification of different myofiber types in pigs muscles and construction of regulatory networks. BMC Genomics 2024; 25:400. [PMID: 38658807 PMCID: PMC11040794 DOI: 10.1186/s12864-024-10271-9] [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: 11/07/2023] [Accepted: 03/30/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Skeletal muscle is composed of muscle fibers with different physiological characteristics, which plays an important role in regulating skeletal muscle metabolism, movement and body homeostasis. The type of skeletal muscle fiber directly affects meat quality. However, the transcriptome and gene interactions between different types of muscle fibers are not well understood. RESULTS In this paper, we selected 180-days-old Large White pigs and found that longissimus dorsi (LD) muscle was dominated by fast-fermenting myofibrils and soleus (SOL) muscle was dominated by slow-oxidizing myofibrils by frozen sections and related mRNA and protein assays. Here, we selected LD muscle and SOL muscle for transcriptomic sequencing, and identified 312 differentially expressed mRNA (DEmRs), 30 differentially expressed miRNA (DEmiRs), 183 differentially expressed lncRNA (DElRs), and 3417 differentially expressed circRNA (DEcRs). The ceRNA network included ssc-miR-378, ssc-miR-378b-3p, ssc-miR-24-3p, XR_308817, XR_308823, SMIM8, MAVS and FOS as multiple core nodes that play important roles in muscle development. Moreover, we found that different members of the miR-10 family expressed differently in oxidized and glycolytic muscle fibers, among which miR-10a-5p was highly expressed in glycolytic muscle fibers (LD) and could target MYBPH gene mRNA. Therefore, we speculate that miR-10a-5p may be involved in the transformation of muscle fiber types by targeting the MYHBP gene. In addition, PPI analysis of differentially expressed mRNA genes showed that ACTC1, ACTG2 and ACTN2 gene had the highest node degree, suggesting that this gene may play a key role in the regulatory network of muscle fiber type determination. CONCLUSIONS We can conclude that these genes play a key role in regulating muscle fiber type transformation. Our study provides transcriptomic profiles and ceRNA interaction networks for different muscle fiber types in pigs, providing reference for the transformation of pig muscle fiber types and the improvement of meat quality.
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Affiliation(s)
- Chenchen Li
- Laboratory of Animal Fat Deposition and Muscle Development, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Yinuo Wang
- Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Xiaohui Sun
- Laboratory of Animal Fat Deposition and Muscle Development, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Jinjin Yang
- Laboratory of Animal Fat Deposition and Muscle Development, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Yingchun Ren
- Laboratory of Animal Fat Deposition and Muscle Development, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Jinrui Jia
- Laboratory of Animal Fat Deposition and Muscle Development, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Gongshe Yang
- Laboratory of Animal Fat Deposition and Muscle Development, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Mingzhi Liao
- Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Jianjun Jin
- Laboratory of Animal Fat Deposition and Muscle Development, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Xin'e Shi
- Laboratory of Animal Fat Deposition and Muscle Development, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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Liu C, Hong T, Zhao C, Xue T, Wang S, Ren Z. Single-nucleus transcriptomics and chromatin accessibility analysis of musk gland development in Chinese forest musk deer (Moschus berezovskii). Integr Zool 2024. [PMID: 38644525 DOI: 10.1111/1749-4877.12823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 12/28/2023] [Accepted: 02/15/2024] [Indexed: 04/23/2024]
Abstract
Musk secreted by male forest musk deer (Moschus berezovskii) musk glands is an invaluable component of medicine and perfume. Musk secretion depends on musk gland maturation; however, the mechanism of its development remains elusive. Herein, using single cell multiome ATAC + gene expression coupled with several bioinformatic analyses, a dynamic transcriptional cell atlas of musk gland development was revealed, and key genes and transcription factors affecting its development were determined. Twelve cell types, including two different types of acinar cells (Clusters 0 and 10) were identified. Single-nucleus RNA and single-nucleus ATAC sequencing analyses revealed that seven core target genes associated with musk secretion (Hsd17b2, Acacb, Lss, Vapa, Aldh16a1, Aldh7a1, and Sqle) were regulated by 12 core transcription factors (FOXO1, CUX2, RORA, RUNX1, KLF6, MGA, NFIC, FOXO3, ETV5, NR3C1, HSF4, and MITF) during the development of Cluster 0 acinar cells. Kyoto Encyclopedia of Genes and Genomes enrichment showed significant changes in the pathways associated with musk secretion during acinar cell development. Gene set variation analysis also revealed that certain pathways associated with musk secretion were enriched in 6-year-old acinar cells. A gene co-expression network was constructed during acinar cell development to provide a precise understanding of the connections between transcription factors, genes, and pathways. Finally, intercellular communication analysis showed that intercellular communication is involved in musk gland development. This study provides crucial insights into the changes and key factors underlying musk gland development, which serve as valuable resources for studying musk secretion mechanisms and promoting the protection of this endangered species.
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Affiliation(s)
- Chenmiao Liu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Tingting Hong
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Chengcheng Zhao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Tao Xue
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Shuhui Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Zhanjun Ren
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
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41
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Carvalho S, Zea-Redondo L, Tang TCC, Stachel-Braum P, Miller D, Caldas P, Kukalev A, Diecke S, Grosswendt S, Grosso AR, Pombo A. SRRM2 splicing factor modulates cell fate in early development. Biol Open 2024; 13:bio060415. [PMID: 38656788 PMCID: PMC11070786 DOI: 10.1242/bio.060415] [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: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/26/2024] Open
Abstract
Embryo development is an orchestrated process that relies on tight regulation of gene expression to guide cell differentiation and fate decisions. The Srrm2 splicing factor has recently been implicated in developmental disorders and diseases, but its role in early mammalian development remains unexplored. Here, we show that Srrm2 dosage is critical for maintaining embryonic stem cell pluripotency and cell identity. Srrm2 heterozygosity promotes loss of stemness, characterised by the coexistence of cells expressing naive and formative pluripotency markers, together with extensive changes in gene expression, including genes regulated by serum-response transcription factor (SRF) and differentiation-related genes. Depletion of Srrm2 by RNA interference in embryonic stem cells shows that the earliest effects of Srrm2 heterozygosity are specific alternative splicing events on a small number of genes, followed by expression changes in metabolism and differentiation-related genes. Our findings unveil molecular and cellular roles of Srrm2 in stemness and lineage commitment, shedding light on the roles of splicing regulators in early embryogenesis, developmental diseases and tumorigenesis.
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Affiliation(s)
- Silvia Carvalho
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Structure Group, 10115 Berlin, Germany
- Associate Laboratory i4HB – Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
- UCIBIO – Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, 4050-313 Porto, Portugal
- Graduate Program in Areas of Basic and Applied Biology (GABBA), ICBAS, University of Porto, 4050-313 Porto, Portugal
| | - Luna Zea-Redondo
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Structure Group, 10115 Berlin, Germany
- Humboldt-Universität zu Berlin, Institute of Biology, 10115 Berlin, Germany
| | - Tsz Ching Chloe Tang
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Structure Group, 10115 Berlin, Germany
| | - Philipp Stachel-Braum
- Humboldt-Universität zu Berlin, Institute of Biology, 10115 Berlin, Germany
- Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Exploratory Diagnostic Sciences (EDS) 10178 Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), From Cell State to Function Group, 10115 Berlin, Germany
| | - Duncan Miller
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Pluripotent Stem Cells Platform, 13125 Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, 10785 Berlin, Germany
| | - Paulo Caldas
- Associate Laboratory i4HB – Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
- UCIBIO – Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Alexander Kukalev
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Structure Group, 10115 Berlin, Germany
| | - Sebastian Diecke
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Pluripotent Stem Cells Platform, 13125 Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, 10785 Berlin, Germany
| | - Stefanie Grosswendt
- Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Exploratory Diagnostic Sciences (EDS) 10178 Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), From Cell State to Function Group, 10115 Berlin, Germany
| | - Ana Rita Grosso
- Associate Laboratory i4HB – Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
- UCIBIO – Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
| | - Ana Pombo
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Structure Group, 10115 Berlin, Germany
- Humboldt-Universität zu Berlin, Institute of Biology, 10115 Berlin, Germany
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42
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Liu C, Zhou L, Chen Z. Construction of gastric cancer prognostic signature based on the E26 transcription factor and the identification of novel oncogene ELK3. Am J Cancer Res 2024; 14:1831-1849. [PMID: 38726274 PMCID: PMC11076248 DOI: 10.62347/rvbp7871] [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: 08/14/2023] [Accepted: 02/11/2024] [Indexed: 05/12/2024] Open
Abstract
The aim of the present study was to investigate the function of 29 E26 (ETS) transcription factor families in gastric cancer (GC) and determine their association with prognosis. Our analysis of the expression of the ETS family revealed that 28 genes were dysregulated in GC, and that their expression was associated with multiple clinicopathological features (P<0.05). Based on the expression signature of the ETS family, consensus clustering was performed to generate two gastric cancer subtypes. These subtypes exhibited differences in overall survival (OS, P = 0.161), disease-free survival (DFS, P<0.05) and GC grade (P<0.01). Functional enrichment analysis of the target genes associated with the ETS family indicated that these genes primarily contribute to functions that facilitate tumor progression. A systematic statistical analysis was used to construct a prognostic model related to OS and DFS in association with the ETS family. This model demonstrated that the maximum area under the curve (AUC) values for predicting OS and DFS were 0.729 and 0.670, respectively, establishing ETS as an independent prognostic factor for GC Furthermore, a nomogram was created from the prognostic signature, and its predictive accuracy was confirmed by a calibration curve. Finally, the expression and prognostic significance of the six genes comprising the model were also examined. Among these, ELK3 was found to be significantly overexpressed in GC clinical samples. Subsequent in vitro and in vivo studies verified that ELK3 regulates GC proliferation and metastasis, highlighting its potential as a therapeutic target for gastric cancer.
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Affiliation(s)
- Chenxi Liu
- School of Optometry, Jiangxi Medical College, Nanchang UniversityNanchang 330006, Jiangxi, P. R. China
| | - Liqiang Zhou
- Department of General Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchang 330006, Jiangxi, P. R. China
- Department of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchang 330006, Jiangxi, P. R. China
| | - Zhiqing Chen
- Jiangxi Provincial Key Laboratory of Molecular Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchang 330006, Jiangxi, P. R. China
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43
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Álvarez-Campos P, García-Castro H, Emili E, Pérez-Posada A, Del Olmo I, Peron S, Salamanca-Díaz DA, Mason V, Metzger B, Bely AE, Kenny NJ, Özpolat BD, Solana J. Annelid adult cell type diversity and their pluripotent cellular origins. Nat Commun 2024; 15:3194. [PMID: 38609365 PMCID: PMC11014941 DOI: 10.1038/s41467-024-47401-6] [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: 07/28/2023] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Many annelids can regenerate missing body parts or reproduce asexually, generating all cell types in adult stages. However, the putative adult stem cell populations involved in these processes, and the diversity of cell types generated by them, are still unknown. To address this, we recover 75,218 single cell transcriptomes of the highly regenerative and asexually-reproducing annelid Pristina leidyi. Our results uncover a rich cell type diversity including annelid specific types as well as novel types. Moreover, we characterise transcription factors and gene networks that are expressed specifically in these populations. Finally, we uncover a broadly abundant cluster of putative stem cells with a pluripotent signature. This population expresses well-known stem cell markers such as vasa, piwi and nanos homologues, but also shows heterogeneous expression of differentiated cell markers and their transcription factors. We find conserved expression of pluripotency regulators, including multiple chromatin remodelling and epigenetic factors, in piwi+ cells. Finally, lineage reconstruction analyses reveal computational differentiation trajectories from piwi+ cells to diverse adult types. Our data reveal the cell type diversity of adult annelids by single cell transcriptomics and suggest that a piwi+ cell population with a pluripotent stem cell signature is associated with adult cell type differentiation.
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Affiliation(s)
- Patricia Álvarez-Campos
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK.
- Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM) & Departamento de Biología (Zoología), Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, Spain.
| | - Helena García-Castro
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
- Living Systems Institute, University of Exeter, Exeter, UK
| | - Elena Emili
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
| | - Alberto Pérez-Posada
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
- Living Systems Institute, University of Exeter, Exeter, UK
| | - Irene Del Olmo
- Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM) & Departamento de Biología (Zoología), Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, Spain
| | - Sophie Peron
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
- Living Systems Institute, University of Exeter, Exeter, UK
| | - David A Salamanca-Díaz
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
- Living Systems Institute, University of Exeter, Exeter, UK
| | - Vincent Mason
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
| | - Bria Metzger
- Eugene Bell Center for Regenerative Biology and Tissue Engineering, Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA, 05432, USA
- Department of Biology, Washington University in St. Louis. 1 Brookings Dr. Saint Louis, Saint Louis, MO, 63130, USA
| | - Alexandra E Bely
- Department of Biology, University of Maryland, College Park, MD, 20742, USA
| | - Nathan J Kenny
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK
- Department of Biochemistry, University of Otago, P.O. Box 56, Dunedin, Aotearoa, New Zealand
| | - B Duygu Özpolat
- Eugene Bell Center for Regenerative Biology and Tissue Engineering, Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA, 05432, USA.
- Department of Biology, Washington University in St. Louis. 1 Brookings Dr. Saint Louis, Saint Louis, MO, 63130, USA.
| | - Jordi Solana
- Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK.
- Living Systems Institute, University of Exeter, Exeter, UK.
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Anatskaya OV, Vinogradov AE. Polyploidy Promotes Hypertranscription, Apoptosis Resistance, and Ciliogenesis in Cancer Cells and Mesenchymal Stem Cells of Various Origins: Comparative Transcriptome In Silico Study. Int J Mol Sci 2024; 25:4185. [PMID: 38673782 PMCID: PMC11050069 DOI: 10.3390/ijms25084185] [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: 02/20/2024] [Revised: 04/06/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Mesenchymal stem cells (MSC) attract an increasing amount of attention due to their unique therapeutic properties. Yet, MSC can undergo undesirable genetic and epigenetic changes during their propagation in vitro. In this study, we investigated whether polyploidy can compromise MSC oncological safety and therapeutic properties. For this purpose, we compared the impact of polyploidy on the transcriptome of cancer cells and MSC of various origins (bone marrow, placenta, and heart). First, we identified genes that are consistently ploidy-induced or ploidy-repressed through all comparisons. Then, we selected the master regulators using the protein interaction enrichment analysis (PIEA). The obtained ploidy-related gene signatures were verified using the data gained from polyploid and diploid populations of early cardiomyocytes (CARD) originating from iPSC. The multistep bioinformatic analysis applied to the cancer cells, MSC, and CARD indicated that polyploidy plays a pivotal role in driving the cell into hypertranscription. It was evident from the upregulation of gene modules implicated in housekeeping functions, stemness, unicellularity, DNA repair, and chromatin opening by means of histone acetylation operating via DNA damage associated with the NUA4/TIP60 complex. These features were complemented by the activation of the pathways implicated in centrosome maintenance and ciliogenesis and by the impairment of the pathways related to apoptosis, the circadian clock, and immunity. Overall, our findings suggest that, although polyploidy does not induce oncologic transformation of MSC, it might compromise their therapeutic properties because of global epigenetic changes and alterations in fundamental biological processes. The obtained results can contribute to the development and implementation of approaches enhancing the therapeutic properties of MSC by removing polyploid cells from the cell population.
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Affiliation(s)
- Olga V. Anatskaya
- Institute of Cytology Russian Academy of Sciences, 194064 St. Petersburg, Russia;
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45
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Jiang Y, Peng Y, Tian Q, Cheng Z, Feng B, Hu J, Xia L, Guo H, Xia K, Zhou L, Hu Z. Intergenic sequences harboring potential enhancer elements contribute to Axenfeld-Rieger syndrome by regulating PITX2. JCI Insight 2024; 9:e177032. [PMID: 38592784 PMCID: PMC11141933 DOI: 10.1172/jci.insight.177032] [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: 11/01/2023] [Accepted: 03/27/2024] [Indexed: 04/11/2024] Open
Abstract
Recent studies have uncovered that noncoding sequence variants may relate to Axenfeld-Rieger syndrome (ARS), a rare developmental anomaly with genetic heterogeneity. However, how these genomic regions are functionally and structurally associated with ARS is still unclear. In this study, we performed genome-wide linkage analysis and whole-genome sequencing in a Chinese family with ARS and identified a heterozygous deletion of about 570 kb (termed LOH-1) in the intergenic sequence between paired-like homeodomain transcription factor 2 (PITX2) and family with sequence similarity 241 member A. Knockout of LOH-1 homologous sequences caused ARS phenotypes in mice. RNA-Seq and real-time quantitative PCR revealed a significant reduction in Pitx2 gene expression in LOH-1-/- mice, while forkhead box C1 expression remained unchanged. ChIP-Seq and bioinformatics analysis identified a potential enhancer region (LOH-E1) within LOH-1. Deletion of LOH-E1 led to a substantial downregulation of the PITX2 gene. Mechanistically, we found a sequence (hg38 chr4:111,399,594-111,399,691) that is on LOH-E1 could regulate PITX2 by binding to RAD21, a critical component of the cohesin complex. Knockdown of RAD21 resulted in reduced PITX2 expression. Collectively, our findings indicate that a potential enhancer sequence that is within LOH-1 may regulate PITX2 expression remotely through cohesin-mediated loop domains, leading to ARS when absent.
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Affiliation(s)
- Yizheng Jiang
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Yu Peng
- Department of Medical Genetics, The Affiliated Children’s Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Qi Tian
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Zhe Cheng
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Bei Feng
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Junping Hu
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Lu Xia
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Hui Guo
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
| | - Kun Xia
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
- MOE Key Laboratory of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, China
| | - Liang Zhou
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhengmao Hu
- MOE Key Laboratory of Rare Pediatric Diseases & Hunan Key Laboratory of Medical Genetics of the School of Life Sciences and
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Elmetwally MA, Helmy A, Balboula A, Eladl M, Hamed B, Lashen S, Rezk S, Yaseen A, Sharawy H, Hussien M, Zabel S, Montaser A, Halawa A. Fructose improves titanium dioxide nanoparticles induced alterations in developmental competence of mouse oocytes. BMC Vet Res 2024; 20:135. [PMID: 38570796 PMCID: PMC10988840 DOI: 10.1186/s12917-024-03963-7] [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: 02/12/2023] [Accepted: 02/29/2024] [Indexed: 04/05/2024] Open
Abstract
AIMS We investigated the effects of intraperitoneal injections of titanium dioxide nanoparticles (TiO2 NPs, 100 mg/kg) for 5 consecutive days on the developmental competence of murine oocytes. Furthermore, study the effects of TiO2 NPs on antioxidant and oxidative stress biomarkers, as well as their effects on expression of apoptotic and hypoxia inducing factor-1α (HIF1A) protein translation. Moreover, the possible ameliorating effects of intraperitoneal injections of fructose (2.75 mM/ml) was examined. MATERIALS AND METHODS Thirty sexually mature (8-12 weeks old; ~ 25 g body weight) female mice were used for the current study. The female mice were assigned randomly to three treatment groups: Group1 (G1) mice were injected intraperitoneal (ip) with deionized water for 5 consecutive days; Group 2 (G2) mice were injected ip with TiO2 NPs (100 mg/kg BW) for 5 consecutive days; Group 3 (G3) mice were injected ip with TiO2 NPs (100 mg/kg BW + fructose (2.75 mM) for 5 consecutive days. RESULTS Nano-titanium significantly decreased expression of GSH, GPx, and NO, expression of MDA and TAC increased. The rates of MI, MII, GVBD and degenerated oocytes were significantly less for nano-titanium treated mice, but the rate of activated oocytes was significantly greater than those in control oocytes. TiO2 NPs significantly increased expression of apoptotic genes (BAX, Caspase 3 and P53) and HIF1A. Intraperitoneal injection of fructose (2.75 mM/kg) significantly alleviated the detrimental effects of TiO2 NPs. Transmission electron microscopy indicated that fructose mitigated adverse effects of TiO2 NPs to alter the cell surface of murine oocytes. CONCLUSION Results of this study suggest that the i/p infusion of fructose for consecutive 5 days enhances development of murine oocytes and decreases toxic effects of TiO2 NPs through positive effects on oxidative and antioxidant biomarkers in cumulus-oocyte complexes and effects to inhibit TiO2-induced increases in expression of apoptotic and hypoxia inducing factors.
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Affiliation(s)
- Mohammed A Elmetwally
- Department of Theriogenology, Center for Reproductive Biotechnology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt.
| | - Amal Helmy
- Fertility care center, Obstetrics and Gynecology department, faculty of medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Ahmed Balboula
- Department of animal science, University of Missouri, Columbia, MO, 65211, USA
- Center for Reproductive Biotechnology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Mohamed Eladl
- Department of Biochemistry and Molecular Biology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Basma Hamed
- Medical research center, faculty of medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Samah Lashen
- Department of Cytology and Histology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Shaymaa Rezk
- Department of Cytology and Histology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Amira Yaseen
- Fertility care center, Obstetrics and Gynecology department, faculty of medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Heba Sharawy
- Department of Theriogenology, Center for Reproductive Biotechnology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Mamdouh Hussien
- Department of Theriogenology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Samy Zabel
- Department of Theriogenology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Abdelmonem Montaser
- Department of Theriogenology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Amal Halawa
- Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, 35516, Egypt
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47
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Garrett EJ, Prasad SK, Schweizer RM, McClelland GB, Scott GR. Evolved changes in phenotype across skeletal muscles in deer mice native to high altitude. Am J Physiol Regul Integr Comp Physiol 2024; 326:R297-R310. [PMID: 38372126 DOI: 10.1152/ajpregu.00206.2023] [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: 08/24/2023] [Revised: 01/11/2024] [Accepted: 02/09/2024] [Indexed: 02/20/2024]
Abstract
The cold and hypoxic conditions at high altitude necessitate high metabolic O2 demands to support thermogenesis while hypoxia reduces O2 availability. Skeletal muscles play key roles in thermogenesis, but our appreciation of muscle plasticity and adaptation at high altitude has been hindered by past emphasis on only a small number of muscles. We examined this issue in deer mice (Peromyscus maniculatus). Mice derived from both high-altitude and low-altitude populations were born and raised in captivity and then acclimated as adults to normoxia or hypobaric hypoxia (12 kPa O2 for 6-8 wk). Maximal activities of citrate synthase (CS), cytochrome c oxidase (COX), β-hydroxyacyl-CoA dehydrogenase (HOAD), hexokinase (HK), pyruvate kinase (PK), and lactate dehydrogenase (LDH) were measured in 20 muscles involved in shivering, locomotion, body posture, ventilation, and mastication. Principal components analysis revealed an overall difference in muscle phenotype between populations but no effect of hypoxia acclimation. High-altitude mice had greater activities of mitochondrial enzymes and/or lower activities of PK or LDH across many (but not all) respiratory, limb, core and mastication muscles compared with low-altitude mice. In contrast, chronic hypoxia had very few effects across muscles. Further examination of CS in the gastrocnemius showed that population differences in enzyme activity stemmed from differences in protein abundance and mRNA expression but not from population differences in CS amino acid sequence. Overall, our results suggest that evolved increases in oxidative capacity across many skeletal muscles, at least partially driven by differences in transcriptional regulation, may contribute to high-altitude adaptation in deer mice.NEW & NOTEWORTHY Most previous studies of muscle plasticity and adaptation in high-altitude environments have focused on a very limited number of skeletal muscles. Comparing high-altitude versus low-altitude populations of deer mice, we show that a large number of muscles involved in shivering, locomotion, body posture, ventilation, and mastication exhibit greater mitochondrial enzyme activities in the high-altitude population. Therefore, evolved increases in mitochondrial oxidative capacity across skeletal muscles contribute to high-altitude adaptation.
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Affiliation(s)
- Emily J Garrett
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
| | - Srikripa K Prasad
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
| | - Rena M Schweizer
- Division of Biological Sciences, University of Montana, Missoula, Montana, United States
- United States Department of Agriculture, Agricultural Research Service, Pollinating Insects Research Unit, Utah State University, Logan, Utah, United States
| | | | - Graham R Scott
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
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48
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Zhao S, Wang C, Luo H, Li F, Wang Q, Xu J, Huang Z, Liu W, Zhang W. A role for Retinoblastoma 1 in hindbrain morphogenesis by regulating GBX family. J Genet Genomics 2024:S1673-8527(24)00061-4. [PMID: 38570112 DOI: 10.1016/j.jgg.2024.03.008] [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: 03/22/2024] [Revised: 03/26/2024] [Accepted: 03/26/2024] [Indexed: 04/05/2024]
Abstract
The hindbrain, which develops from the anterior end of the neural tube expansion, can differentiate into the metencephalon and myelencephalon, with varying sizes and functions. The midbrain-hindbrain boundary (MHB) and hindbrain myelencephalon/ventral midline (HMVM) are known to be the source of the progenitors for the anterior hindbrain and myelencephalon, respectively. However, the molecular networks regulating hindbrain morphogenesis in these structures remain unclear. In this study, we show that retinoblastoma 1 (rb1) is highly expressed at the MHB and HMVM in zebrafish. Knocking out rb1 in mice and zebrafish results in an enlarged hindbrain due to hindbrain neuronal hyperproliferation. Further study reveals that Rb1 controls the hindbrain morphogenesis by suppressing the expression of Gbx1/Gbx2, essential transcription factors for hindbrain development, through its binding to E2f3/Hdac1, respectively. Interestingly, we find that Gbx1 and Gbx2 are expressed in different types of hindbrain neurons, suggesting distinct roles in hindbrain morphogenesis. In summary, our study clarifies the specific role of RB1 in hindbrain neural cell proliferation and morphogenesis by regulating the E2f3-Gbx1 axis and the Hdac1-Gbx2 axis. These findings provide a research paradigm for exploring the differential proliferation of neurons in various brain regions.
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Affiliation(s)
- Shuang Zhao
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Chen Wang
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Haiping Luo
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Feifei Li
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Qiang Wang
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Jin Xu
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Zhibin Huang
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Wei Liu
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China.
| | - Wenqing Zhang
- The Innovation Centre of Ministry of Education for Development and Diseases, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China; Greater Bay Biomedical Innocenter, Shenzhen Bay Laboratory, Shenzhen, Guangdong 518055, China.
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49
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Xu J, Zhou Y, Wang Q, Liu Y, Tang J. Zinc finger protein 263 upregulates interleukin 33 and suppresses autophagy to accelerate the malignant progression of non-small cell lung cancer. Clin Transl Oncol 2024; 26:924-935. [PMID: 37821764 DOI: 10.1007/s12094-023-03325-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: 04/18/2023] [Accepted: 09/12/2023] [Indexed: 10/13/2023]
Abstract
PURPOSE Non-small cell lung cancer (NSCLC) is a complex disease that remains a major public health concern worldwide. One promising avenue for NSCLC treatment is the targeting of transcription factors that regulate key pathways involved in cancer progression. In this study, we investigated the role of the transcription factor ZNF263 in NSCLC and its impact on the regulation of IL33, apoptosis, and autophagy. METHODS Levels of ZNF263 in tissues and cell lines were identified, after which the effects of its knockdown on cellular malignant behaviors, apoptosis and autophagy were assessed. Based on bioinformatics analysis, ZNF263 was found to bind to IL33 promoter, their mutual relationship was confirmed, as well as the role of IL33 in the regulation of ZNF263. The involvement of ZNF263 in the growth of xenograft tumors was assessed using tumor-bearing nude mouse models. RESULTS Experimental results revealed that ZNF263 was upregulated in NSCLC tissue samples and cell lines. Its expression level is positively correlated with cellular malignant behaviors. We further demonstrated that ZNF263 upregulated IL33 expression, which, in turn, promoted the proliferation and migration, inhibited apoptosis and autophagy in NSCLC cells. Furthermore, ZNF263 knockdown reduced the growth of xenograft tumors in nude mice. CONCLUSION This finding suggests that the inhibition of ZNF263 or IL33 may represent a novel therapeutic strategy for NSCLC. Importantly, our results highlight the crucial role of transcription factors in NSCLC and their potential as therapeutic targets.
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Affiliation(s)
- Jiao Xu
- Department of Respiratory and Critical Care Medicine, WuJin Hospital Affiliated With Jiangsu University, WuJin Clinical College of Xuzhou Medical University, Changzhou, 213017, Jiangsu, People's Republic of China
| | - Yanjuan Zhou
- Department of Respiratory and Critical Care Medicine, WuJin Hospital Affiliated With Jiangsu University, WuJin Clinical College of Xuzhou Medical University, Changzhou, 213017, Jiangsu, People's Republic of China
| | - Qiang Wang
- Department of Cardiothoracic Surgery, WuJin Hospital Affiliated to Jiangsu University, WuJin Clinical College of Xuzhou Medical University, Changzhou, 213017, Jiangsu, People's Republic of China
| | - Yuxin Liu
- Department of Internal Medicine, Jiangsu University, Zhenjiang, 212013, Jiangsu, People's Republic of China
| | - Jianlei Tang
- Department of Intensive Care Unit, WuJin Hospital Affiliated With Jiangsu University, WuJin Clinical College of Xuzhou Medical University, 2 Yongning North Road, Changzhou, 213017, Jiangsu, People's Republic of China.
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50
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Ranek JS, Stallaert W, Milner JJ, Redick M, Wolff SC, Beltran AS, Stanley N, Purvis JE. DELVE: feature selection for preserving biological trajectories in single-cell data. Nat Commun 2024; 15:2765. [PMID: 38553455 PMCID: PMC10980758 DOI: 10.1038/s41467-024-46773-z] [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: 05/18/2023] [Accepted: 03/07/2024] [Indexed: 04/02/2024] Open
Abstract
Single-cell technologies can measure the expression of thousands of molecular features in individual cells undergoing dynamic biological processes. While examining cells along a computationally-ordered pseudotime trajectory can reveal how changes in gene or protein expression impact cell fate, identifying such dynamic features is challenging due to the inherent noise in single-cell data. Here, we present DELVE, an unsupervised feature selection method for identifying a representative subset of molecular features which robustly recapitulate cellular trajectories. In contrast to previous work, DELVE uses a bottom-up approach to mitigate the effects of confounding sources of variation, and instead models cell states from dynamic gene or protein modules based on core regulatory complexes. Using simulations, single-cell RNA sequencing, and iterative immunofluorescence imaging data in the context of cell cycle and cellular differentiation, we demonstrate how DELVE selects features that better define cell-types and cell-type transitions. DELVE is available as an open-source python package: https://github.com/jranek/delve .
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Affiliation(s)
- Jolene S Ranek
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Wayne Stallaert
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - J Justin Milner
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Margaret Redick
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Samuel C Wolff
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Adriana S Beltran
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Human Pluripotent Cell Core, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Natalie Stanley
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Jeremy E Purvis
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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