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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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Li H, Wang L, Ruan Z, Li X, Yang Y, Fang J, Wang R. CSE1L as a prognostic biomarker associated with pan cancer immune infiltration and drug sensitivity. Expert Rev Clin Immunol 2024; 20:1113-1125. [PMID: 38752776 DOI: 10.1080/1744666x.2024.2356747] [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: 11/06/2023] [Accepted: 05/13/2024] [Indexed: 05/24/2024]
Abstract
BACKGROUND Rising cancer-related mortality underscores the importance of biomarkers for treatment and prognosis, with Chromosome Segregation 1 Like (CSE1L) linked to various cancers yet its roles remain partially understood. This study investigates CSE1L's expression and oncogenic mechanisms in solid tumors. RESEARCH DESIGN AND METHODS We analyzed multi-omics data from 31 solid tumors, measured CSE1L in 41 head and neck carcinoma patients post-chemotherapy via qRT-PCR, and evaluated the impact of CSE1L knockdown on cell proliferation in A549 and HepG2 cells. RESULTS In this study, we observed significantly elevated levels of CSE1L RNA in 13 tumor tissues and protein levels in 8 tumor tissues compared to their corresponding adjacent normal tissues. Additionally, our investigation unveiled a correlation between heightened CSE1L expression in tumor tissues and worsened patient prognosis, poor response to immunotherapy, and diminished effectiveness of neoadjuvant chemotherapy. Through an analysis of CSE1L mechanisms, we discovered its potential involvement in promoting tumor cell proliferation, enhancing drug resistance, and influencing immune infiltration, thereby impacting patient prognosis and treatment outcomes. Finally, we delved into the potential mechanisms underlying upregulation of CSE1L in tumor tissues. CONCLUSION Our findings demonstrate that CSE1L promotes tumor development in various malignancies, highlighting its potential as both a therapeutic target and prognostic indicator.
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Affiliation(s)
- Haiyang Li
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Lingwa Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Zhaohui Ruan
- Department of Major Emerging Infectious Diseases, Changping Laboratory, Beijing, China
| | - Xiaoyan Li
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, China
| | - Yifan Yang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jugao Fang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ru Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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Cardiello JF, Westfall J, Dowell R, Allen MA. Characterizing primary transcriptional responses to short term heat shock in Down syndrome. PLoS One 2024; 19:e0307375. [PMID: 39116081 PMCID: PMC11309423 DOI: 10.1371/journal.pone.0307375] [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: 07/06/2023] [Accepted: 07/03/2024] [Indexed: 08/10/2024] Open
Abstract
Heat shock stress induces genome-wide changes in transcription regulation, activating a coordinated cellular response to enable survival. We noticed many heat shock genes are up-regulated in blood samples from individuals with trisomy 21. We characterized the immediate transcriptional response to heat shock of two lymphoblastoid cell lines derived from brothers with and without trisomy 21. The trisomy 21 cells displayed a more robust heat shock response after just one hour at 42°C than the matched disomic cells.
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Affiliation(s)
- Joseph F. Cardiello
- BioFrontiers Institute, University of Colorado, Boulder, CO, United States of America
- Department of Chemistry & Biochemistry, Colorado College, Colorado Springs, CO, United States of America
| | - Jessica Westfall
- Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO, United States of America
| | - Robin Dowell
- BioFrontiers Institute, University of Colorado, Boulder, CO, United States of America
- Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO, United States of America
- Linda Crnic Institute, University of Colorado, Denver, CO, United States of America
- BioFrontiers-Crnic Boulder Branch, University of Colorado, Boulder, CO, United States of America
| | - Mary Ann Allen
- BioFrontiers Institute, University of Colorado, Boulder, CO, United States of America
- Linda Crnic Institute, University of Colorado, Denver, CO, United States of America
- BioFrontiers-Crnic Boulder Branch, University of Colorado, Boulder, CO, United States of America
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Rahman R, Rahaman MH, Hanson AR, Choo N, Xie J, Townley SL, Shrestha R, Hassankhani R, Islam S, Ramm S, Simpson KJ, Risbridger GP, Best G, Centenera MM, Balk SP, Kichenadasse G, Taylor RA, Butler LM, Tilley WD, Conn SJ, Lawrence MG, Wang S, Selth LA. CDK9 inhibition inhibits multiple oncogenic transcriptional and epigenetic pathways in prostate cancer. Br J Cancer 2024:10.1038/s41416-024-02810-8. [PMID: 39117800 DOI: 10.1038/s41416-024-02810-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 07/18/2024] [Accepted: 07/25/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Cyclin-dependent kinase 9 (CDK9) stimulates oncogenic transcriptional pathways in cancer and CDK9 inhibitors have emerged as promising therapeutic candidates. METHODS The activity of an orally bioavailable CDK9 inhibitor, CDKI-73, was evaluated in prostate cancer cell lines, a xenograft mouse model, and patient-derived tumor explants and organoids. Expression of CDK9 was evaluated in clinical specimens by mining public datasets and immunohistochemistry. Effects of CDKI-73 on prostate cancer cells were determined by cell-based assays, molecular profiling and transcriptomic/epigenomic approaches. RESULTS CDKI-73 inhibited proliferation and enhanced cell death in diverse in vitro and in vivo models of androgen receptor (AR)-driven and AR-independent models. Mechanistically, CDKI-73-mediated inhibition of RNA polymerase II serine 2 phosphorylation resulted in reduced expression of BCL-2 anti-apoptotic factors and transcriptional defects. Transcriptomic and epigenomic approaches revealed that CDKI-73 suppressed signaling pathways regulated by AR, MYC, and BRD4, key drivers of dysregulated transcription in prostate cancer, and reprogrammed cancer-associated super-enhancers. These latter findings prompted the evaluation of CDKI-73 with the BRD4 inhibitor AZD5153, a combination that was synergistic in patient-derived organoids and in vivo. CONCLUSION Our work demonstrates that CDK9 inhibition disrupts multiple oncogenic pathways and positions CDKI-73 as a promising therapeutic agent for prostate cancer, particularly aggressive, therapy-resistant subtypes.
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Affiliation(s)
- Razia Rahman
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia
| | - Muhammed H Rahaman
- Drug Discovery and Development, Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Adrienne R Hanson
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia
| | - Nicholas Choo
- Biomedicine Discovery Institute Cancer Program, Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC, Australia
| | - Jianling Xie
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia
| | - Scott L Townley
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia
| | - Raj Shrestha
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia
- Flinders University, Freemasons Centre for Male Health and Wellbeing, Bedford Park, SA, Australia
| | - Ramin Hassankhani
- Drug Discovery and Development, Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Saiful Islam
- Drug Discovery and Development, Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Susanne Ramm
- Victorian Centre for Functional Genomics, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
| | - Kaylene J Simpson
- Victorian Centre for Functional Genomics, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Department of Biochemistry and Pharmacology, University of Melbourne, Parkville, VIC, Australia
| | - Gail P Risbridger
- Biomedicine Discovery Institute Cancer Program, Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Cabrini Institute, Cabrini Health, Malvern, Melbourne, VIC, Australia
- Melbourne Urological Research Alliance (MURAL), Monash Biomedicine Discovery Institute Cancer Program, Monash University, Clayton, VIC, Australia
| | - Giles Best
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia
| | - Margaret M Centenera
- South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Steven P Balk
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Ganessan Kichenadasse
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia
- Department of Medical Oncology, Flinders Medical Centre, Southern Adelaide Local Health Network, Adelaide, SA, South Australia
| | - Renea A Taylor
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Cabrini Institute, Cabrini Health, Malvern, Melbourne, VIC, Australia
- Melbourne Urological Research Alliance (MURAL), Monash Biomedicine Discovery Institute Cancer Program, Monash University, Clayton, VIC, Australia
- Biomedicine Discovery Institute Cancer Program, Department of Physiology, Monash University, Clayton, VIC, Australia
| | - Lisa M Butler
- South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Wayne D Tilley
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
- Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
| | - Simon J Conn
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia
| | - Mitchell G Lawrence
- Biomedicine Discovery Institute Cancer Program, Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Cabrini Institute, Cabrini Health, Malvern, Melbourne, VIC, Australia
- Melbourne Urological Research Alliance (MURAL), Monash Biomedicine Discovery Institute Cancer Program, Monash University, Clayton, VIC, Australia
| | - Shudong Wang
- Drug Discovery and Development, Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Luke A Selth
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Bedford Park, SA, Australia.
- Flinders University, Freemasons Centre for Male Health and Wellbeing, Bedford Park, SA, Australia.
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
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Dziulko AK, Allen H, Chuong EB. An endogenous retrovirus regulates tumor-specific expression of the immune transcriptional regulator SP140. Hum Mol Genet 2024; 33:1454-1464. [PMID: 38751339 PMCID: PMC11305685 DOI: 10.1093/hmg/ddae084] [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: 02/27/2024] [Revised: 04/24/2024] [Accepted: 05/07/2024] [Indexed: 07/26/2024] Open
Abstract
Speckled Protein 140 (SP140) is a chromatin reader with critical roles regulating immune cell transcriptional programs, and SP140 splice variants are associated with immune diseases including Crohn's disease, multiple sclerosis, and chronic lymphocytic leukemia. SP140 expression is currently thought to be restricted to immune cells. However, by analyzing human transcriptomic datasets from a wide range of normal and cancer cell types, we found recurrent cancer-specific expression of SP140, driven by an alternative intronic promoter derived from an intronic endogenous retrovirus (ERV). The ERV belongs to the primate-specific LTR8B family and is regulated by oncogenic mitogen-activated protein kinase (MAPK) signaling. The ERV drives expression of multiple cancer-specific isoforms, including a nearly full-length isoform that retains all the functional domains of the full-length canonical isoform and is also localized within the nucleus, consistent with a role in chromatin regulation. In a fibrosarcoma cell line, silencing the cancer-specific ERV promoter of SP140 resulted in increased sensitivity to interferon-mediated cytotoxicity and dysregulation of multiple genes. Our findings implicate aberrant ERV-mediated SP140 expression as a novel mechanism contributing to immune gene dysregulation in a wide range of cancer cells.
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Affiliation(s)
- Adam K Dziulko
- Department of Molecular, Cellular, and Developmental Biology and BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave, JSC Biotech Bldg, Boulder, Colorado 80303, USA
| | - Holly Allen
- Department of Molecular, Cellular, and Developmental Biology and BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave, JSC Biotech Bldg, Boulder, Colorado 80303, USA
| | - Edward B Chuong
- Department of Molecular, Cellular, and Developmental Biology and BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave, JSC Biotech Bldg, Boulder, Colorado 80303, USA
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Kathail P, Shuai RW, Chung R, Ye CJ, Loeb GB, Ioannidis NM. Current genomic deep learning models display decreased performance in cell type-specific accessible regions. Genome Biol 2024; 25:202. [PMID: 39090688 PMCID: PMC11293111 DOI: 10.1186/s13059-024-03335-2] [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: 09/15/2023] [Accepted: 07/10/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND A number of deep learning models have been developed to predict epigenetic features such as chromatin accessibility from DNA sequence. Model evaluations commonly report performance genome-wide; however, cis regulatory elements (CREs), which play critical roles in gene regulation, make up only a small fraction of the genome. Furthermore, cell type-specific CREs contain a large proportion of complex disease heritability. RESULTS We evaluate genomic deep learning models in chromatin accessibility regions with varying degrees of cell type specificity. We assess two modeling directions in the field: general purpose models trained across thousands of outputs (cell types and epigenetic marks) and models tailored to specific tissues and tasks. We find that the accuracy of genomic deep learning models, including two state-of-the-art general purpose models-Enformer and Sei-varies across the genome and is reduced in cell type-specific accessible regions. Using accessibility models trained on cell types from specific tissues, we find that increasing model capacity to learn cell type-specific regulatory syntax-through single-task learning or high capacity multi-task models-can improve performance in cell type-specific accessible regions. We also observe that improving reference sequence predictions does not consistently improve variant effect predictions, indicating that novel strategies are needed to improve performance on variants. CONCLUSIONS Our results provide a new perspective on the performance of genomic deep learning models, showing that performance varies across the genome and is particularly reduced in cell type-specific accessible regions. We also identify strategies to maximize performance in cell type-specific accessible regions.
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Affiliation(s)
- Pooja Kathail
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.
| | - Richard W Shuai
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Ryan Chung
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Chun Jimmie Ye
- Division of Rheumatology, Department of Medicine, University of California, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Gabriel B Loeb
- Division of Nephrology, Department of Medicine, University of California, San Francisco, CA, USA.
- Cardiovascular Research Institute, University of California, San Francisco, CA, USA.
| | - Nilah M Ioannidis
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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Huang J, Mao L, Lei Q, Guo AY. Bioinformatics tools and resources for cancer and application. Chin Med J (Engl) 2024:00029330-990000000-01162. [PMID: 39075637 DOI: 10.1097/cm9.0000000000003254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Indexed: 07/31/2024] Open
Abstract
ABSTRACT Tumor bioinformatics plays an important role in cancer research and precision medicine. The primary focus of traditional cancer research has been molecular and clinical studies of a number of fundamental pathways and genes. In recent years, driven by breakthroughs in high-throughput technologies, large-scale cancer omics data have accumulated rapidly. How to effectively utilize and share these data is particularly important. To address this crucial task, many computational tools and databases have been developed over the past few years. To help researchers quickly learn and understand the functions of these tools, in this review, we summarize publicly available bioinformatics tools and resources for pan-cancer multi-omics analysis, regulatory analysis of tumorigenesis, tumor treatment and prognosis, immune infiltration analysis, immune repertoire analysis, cancer driver gene and driver mutation analysis, and cancer single-cell analysis, which may further help researchers find more suitable tools for their research.
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Affiliation(s)
- Jin Huang
- Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Lingzi Mao
- Hubei Bioinformatics & Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Qian Lei
- Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - An-Yuan Guo
- Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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Pacheco-Bernal I, Becerril-Pérez F, Bustamante-Zepeda M, González-Suárez M, Olmedo-Suárez MA, Hernández-Barrientos LR, Alarcón-Del-Carmen A, Escalante-Covarrubias Q, Mendoza-Viveros L, Hernández-Lemus E, León-Del-Río A, de la Rosa-Velázquez IA, Orozco-Solis R, Aguilar-Arnal L. Transitions in chromatin conformation shaped by fatty acids and the circadian clock underlie hepatic transcriptional reorganization in obese mice. Cell Mol Life Sci 2024; 81:309. [PMID: 39060446 DOI: 10.1007/s00018-024-05364-3] [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: 02/15/2024] [Revised: 06/25/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024]
Abstract
The circadian clock system coordinates metabolic, physiological, and behavioral functions across a 24-h cycle, crucial for adapting to environmental changes. Disruptions in circadian rhythms contribute to major metabolic pathologies like obesity and Type 2 diabetes. Understanding the regulatory mechanisms governing circadian control is vital for identifying therapeutic targets. It is well characterized that chromatin remodeling and 3D structure at genome regulatory elements contributes to circadian transcriptional cycles; yet the impact of rhythmic chromatin topology in metabolic disease is largely unexplored. In this study, we explore how the spatial configuration of the genome adapts to diet, rewiring circadian transcription and contributing to dysfunctional metabolism. We describe daily fluctuations in chromatin contacts between distal regulatory elements of metabolic control genes in livers from lean and obese mice and identify specific lipid-responsive regions recruiting the clock molecular machinery. Interestingly, under high-fat feeding, a distinct interactome for the clock-controlled gene Dbp strategically promotes the expression of distal metabolic genes including Fgf21. Alongside, new chromatin loops between regulatory elements from genes involved in lipid metabolism control contribute to their transcriptional activation. These enhancers are responsive to lipids through CEBPβ, counteracting the circadian repressor REVERBa. Our findings highlight the intricate coupling of circadian gene expression to a dynamic nuclear environment under high-fat feeding, supporting a temporally regulated program of gene expression and transcriptional adaptation to diet.
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Affiliation(s)
- Ignacio Pacheco-Bernal
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Fernando Becerril-Pérez
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Marcia Bustamante-Zepeda
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Mirna González-Suárez
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Miguel A Olmedo-Suárez
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Luis Ricardo Hernández-Barrientos
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Alejandro Alarcón-Del-Carmen
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Quetzalcoatl Escalante-Covarrubias
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Lucía Mendoza-Viveros
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
- Laboratorio de Cronobiología, Metabolismo y Envejecimiento, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Centro de Investigacíon sobre el Envejecimiento, Centro de Investigación y de Estudios Avanzados (CIE-CINVESTAV), Mexico City, México
- Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, Mexico
| | - Enrique Hernández-Lemus
- Department of Computational Genomics, Centro de Ciencias de La Complejidad (C3), Instituto Nacional de Medicina Genómica (INMEGEN), Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Alfonso León-Del-Río
- Departamento de Medicina Genómica y Toxicología Ambiental, Programa Institucional de Cáncer de Mama, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Inti A de la Rosa-Velázquez
- Genomics Laboratory, Red de Apoyo a la Investigación-CIC, Universidad Nacional Autónoma de México, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080, Mexico City, Mexico
- Next Generation Sequencing Core Facility, Helmholtz Zentrum Muenchen, Ingolstaedter Landstr 1, 85754, Neuherberg, Germany
| | - Ricardo Orozco-Solis
- Laboratorio de Cronobiología, Metabolismo y Envejecimiento, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Centro de Investigacíon sobre el Envejecimiento, Centro de Investigación y de Estudios Avanzados (CIE-CINVESTAV), Mexico City, México
| | - Lorena Aguilar-Arnal
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
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9
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Lu J, Zhang X, Su K, Luo H, Liu C, Yang Y, He B, Wang C, Zhao Z, Liu X, Wang X, Meng P, Lv D, Wang C, Kelley KW, Wang L, Cui B, Liu Q, Peng F. Olanzapine suppresses mPFC activity-norepinephrine releasing to alleviate CLOCK-enhanced cancer stemness under chronic stress. Cell Commun Signal 2024; 22:375. [PMID: 39054537 PMCID: PMC11270788 DOI: 10.1186/s12964-024-01747-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: 06/13/2024] [Accepted: 07/12/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Olanzapine (OLZ) reverses chronic stress-induced anxiety. Chronic stress promotes cancer development via abnormal neuro-endocrine activation. However, how intervention of brain-body interaction reverses chronic stress-induced tumorigenesis remains elusive. METHODS KrasLSL-G12D/WT lung cancer model and LLC1 syngeneic tumor model were used to study the effect of OLZ on cancer stemness and anxiety-like behaviors. Cancer stemness was evaluated by qPCR, western-blotting, immunohistology staining and flow-cytometry analysis of stemness markers, and cancer stem-like function was assessed by serial dilution tumorigenesis in mice and extreme limiting dilution analysis in primary tumor cells. Anxiety-like behaviors in mice were detected by elevated plus maze and open field test. Depression-like behaviors in mice were detected by tail suspension test. Anxiety and depression states in human were assessed by Hospital Anxiety and Depression Scale (HADS). Chemo-sensitivity of lung cancer was assessed by in vivo syngeneic tumor model and in vitro CCK-8 assay in lung cancer cell lines. RESULTS In this study, we found that OLZ reversed chronic stress-enhanced lung tumorigenesis in both KrasLSL-G12D/WT lung cancer model and LLC1 syngeneic tumor model. OLZ relieved anxiety and depression-like behaviors by suppressing neuro-activity in the mPFC and reducing norepinephrine (NE) releasing under chronic stress. NE activated ADRB2-cAMP-PKA-CREB pathway to promote CLOCK transcription, leading to cancer stem-like traits. As such, CLOCK-deficiency or OLZ reverses NE/chronic stress-induced gemcitabine (GEM) resistance in lung cancer. Of note, tumoral CLOCK expression is positively associated with stress status, serum NE level and poor prognosis in lung cancer patients. CONCLUSION We identify a new mechanism by which OLZ ameliorates chronic stress-enhanced tumorigenesis and chemoresistance. OLZ suppresses mPFC-NE-CLOCK axis to reverse chronic stress-induced anxiety-like behaviors and lung cancer stemness. Decreased NE-releasing prevents activation of ADRB2-cAMP-PKA-CREB pathway to inhibit CLOCK transcription, thus reversing lung cancer stem-like traits and chemoresistance under chronic stress.
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Affiliation(s)
- Jinxin Lu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaoyu Zhang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Keyu Su
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
- Department of Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Huandong Luo
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Congcong Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yuqing Yang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Bin He
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Cenxin Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Zhuoran Zhao
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Xianxian Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Xu Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Peixuan Meng
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Dekang Lv
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Chunli Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Keith W Kelley
- Department of Pathology, College of Medicine, Department of Animal Sciences, College of ACES, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Ling Wang
- Department of Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
| | - Bai Cui
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
| | - Quentin Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China.
| | - Fei Peng
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
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10
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Sun F, Li H, Sun D, Fu S, Gu L, Shao X, Wang Q, Dong X, Duan B, Xing F, Wu J, Xiao M, Zhao F, Han JDJ, Liu Q, Fan X, Li C, Wang C, Shi T. Single-cell omics: experimental workflow, data analyses and applications. SCIENCE CHINA. LIFE SCIENCES 2024:10.1007/s11427-023-2561-0. [PMID: 39060615 DOI: 10.1007/s11427-023-2561-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 04/18/2024] [Indexed: 07/28/2024]
Abstract
Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome, proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial scRNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field, offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.
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Affiliation(s)
- Fengying Sun
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China
| | - Haoyan Li
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Dongqing Sun
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Shaliu Fu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Lei Gu
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, 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
| | - Qinqin Wang
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Dong
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Bin Duan
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Feiyang Xing
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Jun Wu
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Minmin Xiao
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
| | - Fangqing Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Qi Liu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China.
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, 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.
- Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
| | - Chen Li
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Chenfei Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Tieliu Shi
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
- Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, 200062, China.
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11
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Li Z, Wang S, Yin X, Tao D, Wang X, Zhang J. Identification and Validation of Diagnostic Model Based on Angiogenesis- and Epithelial Mesenchymal Transition-Related Genes in Myocardial Infarction. Int J Gen Med 2024; 17:3239-3255. [PMID: 39070220 PMCID: PMC11283268 DOI: 10.2147/ijgm.s465411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 07/03/2024] [Indexed: 07/30/2024] Open
Abstract
Background Myocardial infarction (MI) is a chronic cardiovascular disease. This study aims to discern potentially angiogenesis- and epithelial mesenchymal transition (EMT)-related genes as biomarkers for MI diagnosis through bioinformatics. Methods All datasets and angiogenesis- and EMT-related genes were collected from the public database. The differentially expressed genes (DEGs) of MI and MI-related genes were acquired. DEGs, MI-related genes, and angiogenesis- and EMT-related genes were intersected to obtain hub genes. Functional enrichment, immune microenvironment, and transcription factors (TFs)-hub genes regulatory network analysis were performed. The diagnostic markers and models were developed and validated. Drug prediction and molecular docking were performed. Finally, diagnostic markers expressions were validated using RT-qPCR. Results A total of 224 angiogenesis- and EMT-related genes, 2,897 DEGs, 1,217 MI-related genes, and 9 hub genes were acquired. The immune infiltration levels of plasma cells, T cells CD4 memory activated, monocytes, macrophages M0, mast cells resting, and neutrophils were higher in patients with MI. LRPAP1, COLGALT1, QSOX1, THBD, VCAN, PLOD1, and PLAUR as the diagnostic markers were identified and used to construct diagnostic models, which can distinguish MI from controls well. Then, 9 drugs were screened, and the binding energies ranged from -7.08 to -5.21 kcal/mol. RT-qPCR results showed that the expression of LRPAP1, PLAUR, and PLOD1 was significantly increased in the MI group. Conclusion The 7 diagnostic markers may play potential roles in MI and could contribute to improved future diagnostics.
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Affiliation(s)
- Zhengmei Li
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, People’s Republic of China
| | - Shiai Wang
- Department of Cardiovascular Medicine, The Seventh People’s Hospital of Jinan, Jinan, Shandong, People’s Republic of China
| | - Xunli Yin
- Department of Cardiovascular Medicine, The Seventh People’s Hospital of Jinan, Jinan, Shandong, People’s Republic of China
| | - Dong Tao
- Department of Cardiovascular Medicine, The Seventh People’s Hospital of Jinan, Jinan, Shandong, People’s Republic of China
| | - Xuebing Wang
- Department of Cardiovascular Medicine, The Seventh People’s Hospital of Jinan, Jinan, Shandong, People’s Republic of China
| | - Junli Zhang
- Department of Emergency Medicine, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, People’s Republic of China
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12
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Ivancevic A, Simpson DM, Joyner OM, Bagby SM, Nguyen LL, Bitler BG, Pitts TM, Chuong EB. Endogenous retroviruses mediate transcriptional rewiring in response to oncogenic signaling in colorectal cancer. SCIENCE ADVANCES 2024; 10:eado1218. [PMID: 39018396 PMCID: PMC466953 DOI: 10.1126/sciadv.ado1218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 06/13/2024] [Indexed: 07/19/2024]
Abstract
Cancer cells exhibit rewired transcriptional regulatory networks that promote tumor growth and survival. However, the mechanisms underlying the formation of these pathological networks remain poorly understood. Through a pan-cancer epigenomic analysis, we found that primate-specific endogenous retroviruses (ERVs) are a rich source of enhancers displaying cancer-specific activity. In colorectal cancer and other epithelial tumors, oncogenic MAPK/AP1 signaling drives the activation of enhancers derived from the primate-specific ERV family LTR10. Functional studies in colorectal cancer cells revealed that LTR10 elements regulate tumor-specific expression of multiple genes associated with tumorigenesis, such as ATG12 and XRCC4. Within the human population, individual LTR10 elements exhibit germline and somatic structural variation resulting from a highly mutable internal tandem repeat region, which affects AP1 binding activity. Our findings reveal that ERV-derived enhancers contribute to transcriptional dysregulation in response to oncogenic signaling and shape the evolution of cancer-specific regulatory networks.
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Affiliation(s)
- Atma Ivancevic
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - David M. Simpson
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Olivia M. Joyner
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Stacey M. Bagby
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lily L. Nguyen
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Ben G. Bitler
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Todd M. Pitts
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Edward B. Chuong
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
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13
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Chang Z, Xu Y, Dong X, Gao Y, Wang C. Single-cell and spatial multiomic inference of gene regulatory networks using SCRIPro. Bioinformatics 2024; 40:btae466. [PMID: 39024032 PMCID: PMC11288411 DOI: 10.1093/bioinformatics/btae466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/05/2024] [Accepted: 07/17/2024] [Indexed: 07/20/2024] Open
Abstract
MOTIVATION The burgeoning generation of single-cell or spatial multiomic data allows for the characterization of gene regulation networks (GRNs) at an unprecedented resolution. However, the accurate reconstruction of GRNs from sparse and noisy single-cell or spatial multiomic data remains challenging. RESULTS Here, we present SCRIPro, a comprehensive computational framework that robustly infers GRNs for both single-cell and spatial multi-omics data. SCRIPro first improves sample coverage through a density clustering approach based on multiomic and spatial similarities. Additionally, SCRIPro scans transcriptional regulator (TR) importance by performing chromatin reconstruction and in silico deletion analyses using a comprehensive reference covering 1,292 human and 994 mouse TRs. Finally, SCRIPro combines TR-target importance scores derived from multiomic data with TR-target expression levels to ensure precise GRN reconstruction. We benchmarked SCRIPro on various datasets, including single-cell multiomic data from human B-cell lymphoma, mouse hair follicle development, Stereo-seq of mouse embryos, and Spatial-ATAC-RNA from mouse brain. SCRIPro outperforms existing motif-based methods and accurately reconstructs cell type-specific, stage-specific, and region-specific GRNs. Overall, SCRIPro emerges as a streamlined and fast method capable of reconstructing TR activities and GRNs for both single-cell and spatial multi-omic data. AVAILABILITY SCRIPro is available at https://github.com/wanglabtongji/SCRIPro. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Zhanhe Chang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
- Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Yunfan Xu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
| | - Xin Dong
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
| | - Yawei Gao
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
- Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Chenfei Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
- National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai 200120, China
- Frontier Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai 200120, China
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14
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Cantarella S, Vezzoli M, Carnevali D, Morselli M, Zemke NR, Montanini B, Daussy CF, Wodrich H, Teichmann M, Pellegrini M, Berk AJ, Dieci G, Ferrari R. Adenovirus small E1A directs activation of Alu transcription at YAP/TEAD- and AP-1-bound enhancers through interactions with the EP400 chromatin remodeler. Nucleic Acids Res 2024:gkae615. [PMID: 39011896 DOI: 10.1093/nar/gkae615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 04/29/2024] [Accepted: 07/02/2024] [Indexed: 07/17/2024] Open
Abstract
Alu retrotransposons, which form the largest family of mobile DNA elements in the human genome, have recently come to attention as a potential source of regulatory novelties, most notably by participating in enhancer function. Even though Alu transcription by RNA polymerase III is subjected to tight epigenetic silencing, their expression has long been known to increase in response to various types of stress, including viral infection. Here we show that, in primary human fibroblasts, adenovirus small e1a triggered derepression of hundreds of individual Alus by promoting TFIIIB recruitment by Alu-bound TFIIIC. Epigenome profiling revealed an e1a-induced decrease of H3K27 acetylation and increase of H3K4 monomethylation at derepressed Alus, making them resemble poised enhancers. The enhancer nature of e1a-targeted Alus was confirmed by the enrichment, in their upstream regions, of the EP300/CBP acetyltransferase, EP400 chromatin remodeler and YAP1 and FOS transcription factors. The physical interaction of e1a with EP400 was critical for Alu derepression, which was abrogated upon EP400 ablation. Our data suggest that e1a targets a subset of enhancer Alus whose transcriptional activation, which requires EP400 and is mediated by the e1a-EP400 interaction, may participate in the manipulation of enhancer activity by adenoviruses.
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Affiliation(s)
- Simona Cantarella
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Marco Vezzoli
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Davide Carnevali
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Marco Morselli
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Nathan R Zemke
- Molecular Biology Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Barbara Montanini
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Coralie F Daussy
- Bordeaux University, CNRS UMR 5234, Fundamental Microbiology and Pathogenicity, Bordeaux, France
| | - Harald Wodrich
- Bordeaux University, CNRS UMR 5234, Fundamental Microbiology and Pathogenicity, Bordeaux, France
| | - Martin Teichmann
- Bordeaux University, Inserm U 1312, Bordeaux Institute of Oncology, 33076 Bordeaux, France
| | - Matteo Pellegrini
- Department of Molecular Cellular and Developmental Biology, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Arnold J Berk
- Molecular Biology Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Giorgio Dieci
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Roberto Ferrari
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
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15
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Wu Q, Xu J, Zeng J, Wang Y, Yang P. Exploration of evolutionary mechanisms shaping KZFP and retrotransposon interactions. Sci Bull (Beijing) 2024:S2095-9273(24)00503-6. [PMID: 39054160 DOI: 10.1016/j.scib.2024.07.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Affiliation(s)
- Qian Wu
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Junqin Xu
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Jiaxin Zeng
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Yixuan Wang
- Institute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
| | - Peng Yang
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
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16
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Niu Y, Luo J, Zong C. Single-cell total-RNA profiling unveils regulatory hubs of transcription factors. Nat Commun 2024; 15:5941. [PMID: 39009595 PMCID: PMC11251146 DOI: 10.1038/s41467-024-50291-3] [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: 09/27/2023] [Accepted: 07/03/2024] [Indexed: 07/17/2024] Open
Abstract
Recent development of RNA velocity uses master equations to establish the kinetics of the life cycle of RNAs from unspliced RNA to spliced RNA (i.e., mature RNA) to degradation. To feed this kinetic analysis, simultaneous measurement of unspliced RNA and spliced RNA in single cells is greatly desired. However, the majority of single-cell RNA-seq chemistry primarily captures mature RNA species to measure gene expressions. Here, we develop a one-step total-RNA chemistry-based single-cell RNA-seq method: snapTotal-seq. We benchmark this method with multiple single-cell RNA-seq assays in their performance in kinetic analysis of cell cycle by RNA velocity. Next, with LASSO regression between transcription factors, we identify the critical regulatory hubs mediating the cell cycle dynamics. We also apply snapTotal-seq to profile the oncogene-induced senescence and identify the key regulatory hubs governing the entry of senescence. Furthermore, from the comparative analysis of unspliced RNA and spliced RNA, we identify a significant portion of genes whose expression changes occur in spliced RNA but not to the same degree in unspliced RNA, indicating these gene expression changes are mainly controlled by post-transcriptional regulation. Overall, we demonstrate that snapTotal-seq can provide enriched information about gene regulation, especially during the transition between cell states.
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Affiliation(s)
- Yichi Niu
- Department of Molecular and Human Genetics, Houston, TX, USA
- Genetics & Genomics Program, Houston, TX, USA
| | - Jiayi Luo
- Department of Molecular and Human Genetics, Houston, TX, USA
- Cancer and Cell Biology Program, Houston, TX, USA
| | - Chenghang Zong
- Department of Molecular and Human Genetics, Houston, TX, USA.
- Genetics & Genomics Program, Houston, TX, USA.
- Cancer and Cell Biology Program, Houston, TX, USA.
- Integrative Molecular and Biomedical Sciences Program, Houston, TX, USA.
- Dan L Duncan Comprehensive Cancer Center, Houston, TX, USA.
- McNair Medical Institute, Baylor College of Medicine, Houston, TX, USA.
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17
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Chen JH, Li JJ, Yuan Y, Tian Q, Feng DD, Zhuang LL, Cao Q, Zhou GP, Jin R. ETS1 and RBPJ transcriptionally regulate METTL14 to suppress TGF-β1-induced epithelial-mesenchymal transition in human bronchial epithelial cells. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167349. [PMID: 39002703 DOI: 10.1016/j.bbadis.2024.167349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 07/02/2024] [Accepted: 07/05/2024] [Indexed: 07/15/2024]
Abstract
Asthma is a chronic respiratory disease characterized by airway inflammation and remodeling. Epithelial-mesenchymal transition (EMT) of bronchial epithelial cells is considered to be a crucial player in asthma. Methyltransferase-like 14 (METTL14), an RNA methyltransferase, is implicated in multiple pathological processes, including EMT, cell proliferation and migration. However, the role of METTL14 in asthma remains uncertain. This research aimed to explore the biological functions of METTL14 in asthma and its underlying upstream mechanisms. METTL14 expression was down-regulated in asthmatic from three GEO datasets (GSE104468, GSE165934, and GSE74986). Consistent with this trend, METTL14 was decreased in the lung tissues of OVA-induced asthmatic mice and transforming growth factor-β1 (TGF-β1)-stimulated human bronchial epithelial cells (Beas-2B) in this study. Overexpression of METTL14 caused reduction in mesenchymal markers (FN1, N-cad, Col-1 and α-SMA) in TGF-β1-treated cells, but caused increase in epithelial markers (E-cad), thus inhibiting EMT. Also, METTL14 suppressed the proliferation and migration ability of TGF-β1-treated Beas-2B cells. Two transcription factors, ETS1 and RBPJ, could both bind to the promoter region of METTL14 and drive its expression. Elevating METTL14 expression could reversed EMT, cell proliferation and migration promoted by ETS1 or RBPJ deficiency. These results indicate that the ETS1/METTL14 and RBPJ/METTL14 transcription axes exhibit anti-EMT, anti-proliferation and anti-migration functions in TGF-β1-induced bronchial epithelial cells, implying that METTL14 may be considered an alternative candidate target for the treatment of asthma.
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Affiliation(s)
- Jia-He Chen
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Jiao-Jiao Li
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Yue Yuan
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Qiang Tian
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Dan-Dan Feng
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Li-Li Zhuang
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China
| | - Qian Cao
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China.
| | - Guo-Ping Zhou
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China; Clinical Allergy Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China.
| | - Rui Jin
- Department of Pediatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China; Clinical Allergy Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing 210029, China.
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18
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Kathail P, Shuai RW, Chung R, Ye CJ, Loeb GB, Ioannidis NM. Current genomic deep learning models display decreased performance in cell type specific accessible regions. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.05.602265. [PMID: 39026761 PMCID: PMC11257480 DOI: 10.1101/2024.07.05.602265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Background A number of deep learning models have been developed to predict epigenetic features such as chromatin accessibility from DNA sequence. Model evaluations commonly report performance genome-wide; however, cis regulatory elements (CREs), which play critical roles in gene regulation, make up only a small fraction of the genome. Furthermore, cell type specific CREs contain a large proportion of complex disease heritability. Results We evaluate genomic deep learning models in chromatin accessibility regions with varying degrees of cell type specificity. We assess two modeling directions in the field: general purpose models trained across thousands of outputs (cell types and epigenetic marks), and models tailored to specific tissues and tasks. We find that the accuracy of genomic deep learning models, including two state-of-the-art general purpose models - Enformer and Sei - varies across the genome and is reduced in cell type specific accessible regions. Using accessibility models trained on cell types from specific tissues, we find that increasing model capacity to learn cell type specific regulatory syntax - through single-task learning or high capacity multi-task models - can improve performance in cell type specific accessible regions. We also observe that improving reference sequence predictions does not consistently improve variant effect predictions, indicating that novel strategies are needed to improve performance on variants. Conclusions Our results provide a new perspective on the performance of genomic deep learning models, showing that performance varies across the genome and is particularly reduced in cell type specific accessible regions. We also identify strategies to maximize performance in cell type specific accessible regions.
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Affiliation(s)
- Pooja Kathail
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Richard W. Shuai
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
| | - Ryan Chung
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Chun Jimmie Ye
- Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Gabriel B. Loeb
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Nilah M. Ioannidis
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
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19
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He J, Perera D, Wen W, Ping J, Li Q, Lyu L, Chen Z, Shu X, Long J, Cai Q, Shu XO, Zheng W, Long Q, Guo X. Enhancing Disease Risk Gene Discovery by Integrating Transcription Factor-Linked Trans-located Variants into Transcriptome-Wide Association Analyses. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.10.10.23295443. [PMID: 37873299 PMCID: PMC10593059 DOI: 10.1101/2023.10.10.23295443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Transcriptome-wide association studies (TWAS) have been successful in identifying disease susceptibility genes by integrating cis-variants predicted gene expression with genome-wide association studies (GWAS) data. However, trans-located variants for predicting gene expression remain largely unexplored. Here, we introduce transTF-TWAS, which incorporates transcription factor (TF)-linked trans-located variants to enhance model building. Using data from the Genotype-Tissue Expression project, we predict gene expression and alternative splicing and applied these models to large GWAS datasets for breast, prostate, and lung cancers. We demonstrate that transTF-TWAS outperforms other existing TWAS approaches in both constructing gene prediction models and identifying disease-associated genes, as evidenced by simulations and real data analysis. Our transTF-TWAS approach significantly contributes to the discovery of disease risk genes. Findings from this study have shed new light on several genetically driven key regulators and their associated regulatory networks underlying disease susceptibility.
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20
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Peng F, Lu J, Su K, Liu X, Luo H, He B, Wang C, Zhang X, An F, Lv D, Luo Y, Su Q, Jiang T, Deng Z, He B, Xu L, Guo T, Xiang J, Gu C, Wang L, Xu G, Xu Y, Li M, Kelley KW, Cui B, Liu Q. Oncogenic fatty acid oxidation senses circadian disruption in sleep-deficiency-enhanced tumorigenesis. Cell Metab 2024; 36:1598-1618.e11. [PMID: 38772364 DOI: 10.1016/j.cmet.2024.04.018] [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: 11/02/2022] [Revised: 03/15/2024] [Accepted: 04/25/2024] [Indexed: 05/23/2024]
Abstract
Circadian disruption predicts poor cancer prognosis, yet how circadian disruption is sensed in sleep-deficiency (SD)-enhanced tumorigenesis remains obscure. Here, we show fatty acid oxidation (FAO) as a circadian sensor relaying from clock disruption to oncogenic metabolic signal in SD-enhanced lung tumorigenesis. Both unbiased transcriptomic and metabolomic analyses reveal that FAO senses SD-induced circadian disruption, as illustrated by continuously increased palmitoyl-coenzyme A (PA-CoA) catalyzed by long-chain fatty acyl-CoA synthetase 1 (ACSL1). Mechanistically, SD-dysregulated CLOCK hypertransactivates ACSL1 to produce PA-CoA, which facilitates CLOCK-Cys194 S-palmitoylation in a ZDHHC5-dependent manner. This positive transcription-palmitoylation feedback loop prevents ubiquitin-proteasomal degradation of CLOCK, causing FAO-sensed circadian disruption to maintain SD-enhanced cancer stemness. Intriguingly, timed β-endorphin resets rhythmic Clock and Acsl1 expression to alleviate SD-enhanced tumorigenesis. Sleep quality and serum β-endorphin are negatively associated with both cancer development and CLOCK/ACSL1 expression in patients with cancer, suggesting dawn-supplemented β-endorphin as a potential chronotherapeutic strategy for SD-related cancer.
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Affiliation(s)
- Fei Peng
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Jinxin Lu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Keyu Su
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China; State Key Laboratory of Oncology in South China, Psychobehavioral Cancer Research Center, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Xinyu Liu
- Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian, Liaoning, China
| | - Huandong Luo
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Bin He
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Cenxin Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Xiaoyu Zhang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Fan An
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Dekang Lv
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Yuanyuan Luo
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China; Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian, Liaoning, China
| | - Qitong Su
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Tonghui Jiang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Ziqian Deng
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Bin He
- State Key Laboratory of Oncology in South China, Psychobehavioral Cancer Research Center, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Lingzhi Xu
- Department of Oncology, The Second Affiliated Hospital, Dalian Medical University, Dalian, Liaoning, China
| | - Tao Guo
- Department of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Jin Xiang
- State Key Laboratory of Oncology in South China, Psychobehavioral Cancer Research Center, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Chundong Gu
- Department of Thoracic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Ling Wang
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Guowang Xu
- Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian, Liaoning, China
| | - Ying Xu
- Cambridge-Soochow University Genomic Resource Center, Soochow University, Suzhou, Jiangsu, China
| | - Mindian Li
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Army Medical University, Chongqing, China
| | - Keith W Kelley
- Department of Pathology, College of Medicine and Department of Animal Sciences, College of ACES, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Bai Cui
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China; State Key Laboratory of Oncology in South China, Psychobehavioral Cancer Research Center, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
| | - Quentin Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China; State Key Laboratory of Oncology in South China, Psychobehavioral Cancer Research Center, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
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21
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Momeny M, Tienhaara M, Sharma M, Chakroborty D, Varjus R, Takala I, Merisaari J, Padzik A, Vogt A, Paatero I, Elenius K, Laajala TD, Kurppa KJ, Westermarck J. DUSP6 inhibition overcomes neuregulin/HER3-driven therapy tolerance in HER2+ breast cancer. EMBO Mol Med 2024; 16:1603-1629. [PMID: 38886591 PMCID: PMC11251193 DOI: 10.1038/s44321-024-00088-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 05/08/2024] [Accepted: 05/24/2024] [Indexed: 06/20/2024] Open
Abstract
Despite clinical benefits of tyrosine kinase inhibitors (TKIs) in cancer, most tumors can reactivate proliferation under TKI therapy. Here we present transcriptional profiling of HER2+ breast cancer cells transitioning from dormant drug tolerant cells to re-proliferating cells under continuous HER2 inhibitor (HER2i) therapy. Focusing on phosphatases, expression of dual-specificity phosphatase DUSP6 was found inhibited in dormant cells, but strongly induced upon regrowth. DUSP6 expression also selectively associated with poor patient survival in HER2+ breast cancers. DUSP6 overexpression conferred apoptosis resistance, whereas its pharmacological blockade prevented therapy tolerance development under HER2i therapy. DUSP6 targeting also synergized with clinically used HER2i combination therapies. Mechanistically DUSP6 is a positive regulator of HER3 expression, and its impact on HER2i tolerance was mediated by neuregulin-HER3 axis. In vivo, genetic targeting of DUSP6 reduced tumor growth in brain metastasis model, whereas its pharmacological targeting induced synthetic lethal therapeutic effect in combination with HER2i. Collectively this work demonstrates that DUSP6 drives escape from HER2i-induced dormancy, and that DUSP6 is a druggable target to overcome HER3-driven TKI resistance.
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Affiliation(s)
- Majid Momeny
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
| | - Mari Tienhaara
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Mukund Sharma
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Deepankar Chakroborty
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Roosa Varjus
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Iina Takala
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Joni Merisaari
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Artur Padzik
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Andreas Vogt
- University of Pittsburgh Drug Discovery Institute, Department of Computational and Systems Biology, Pittsburgh Technology Center, Pittsburgh, PA, USA
| | - Ilkka Paatero
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Klaus Elenius
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Teemu D Laajala
- Department of Mathematics and Statistics, University of Turku, Turku, Finland
| | - Kari J Kurppa
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Jukka Westermarck
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
- Institute of Biomedicine, University of Turku, Turku, Finland.
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22
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Downton P, Dickson SH, Ray DW, Bechtold DA, Gibbs JE. Fibroblast-like synoviocytes orchestrate daily rhythmic inflammation in arthritis. Open Biol 2024; 14:240089. [PMID: 38981514 DOI: 10.1098/rsob.240089] [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: 04/09/2024] [Accepted: 06/07/2024] [Indexed: 07/11/2024] Open
Abstract
Rheumatoid arthritis is a chronic inflammatory disease that shows characteristic diurnal variation in symptom severity, where joint resident fibroblast-like synoviocytes (FLS) act as important mediators of arthritis pathology. We investigate the role of FLS circadian clock function in directing rhythmic joint inflammation in a murine model of inflammatory arthritis. We demonstrate FLS time-of-day-dependent gene expression is attenuated in arthritic joints, except for a subset of disease-modifying genes. The deletion of essential clock gene Bmal1 in FLS reduced susceptibility to collagen-induced arthritis but did not impact symptomatic severity in affected mice. Notably, FLS Bmal1 deletion resulted in loss of diurnal expression of disease-modulating genes across the joint, and elevated production of MMP3, a prognostic marker of joint damage in inflammatory arthritis. This work identifies the FLS circadian clock as an influential driver of daily oscillations in joint inflammation, and a potential regulator of destructive pathology in chronic inflammatory arthritis.
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Affiliation(s)
- Polly Downton
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Suzanna H Dickson
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - David W Ray
- NIHR Oxford Health Biomedical Research Centre and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford OX3 9DU, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford OX3 7LE, UK
| | - David A Bechtold
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Julie E Gibbs
- Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
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23
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Yang Y, Pe’er D. REUNION: transcription factor binding prediction and regulatory association inference from single-cell multi-omics data. Bioinformatics 2024; 40:i567-i575. [PMID: 38940155 PMCID: PMC11211829 DOI: 10.1093/bioinformatics/btae234] [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] [Indexed: 06/29/2024] Open
Abstract
MOTIVATION Profiling of gene expression and chromatin accessibility by single-cell multi-omics approaches can help to systematically decipher how transcription factors (TFs) regulate target gene expression via cis-region interactions. However, integrating information from different modalities to discover regulatory associations is challenging, in part because motif scanning approaches miss many likely TF binding sites. RESULTS We develop REUNION, a framework for predicting genome-wide TF binding and cis-region-TF-gene "triplet" regulatory associations using single-cell multi-omics data. The first component of REUNION, Unify, utilizes information theory-inspired complementary score functions that incorporate TF expression, chromatin accessibility, and target gene expression to identify regulatory associations. The second component, Rediscover, takes Unify estimates as input for pseudo semi-supervised learning to predict TF binding in accessible genomic regions that may or may not include detected TF motifs. Rediscover leverages latent chromatin accessibility and sequence feature spaces of the genomic regions, without requiring chromatin immunoprecipitation data for model training. Applied to peripheral blood mononuclear cell data, REUNION outperforms alternative methods in TF binding prediction on average performance. In particular, it recovers missing region-TF associations from regions lacking detected motifs, which circumvents the reliance on motif scanning and facilitates discovery of novel associations involving potential co-binding transcriptional regulators. Newly identified region-TF associations, even in regions lacking a detected motif, improve the prediction of target gene expression in regulatory triplets, and are thus likely to genuinely participate in the regulation. AVAILABILITY AND IMPLEMENTATION All source code is available at https://github.com/yangymargaret/REUNION.
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Affiliation(s)
- Yang Yang
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, United States
| | - Dana Pe’er
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, United States
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24
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Wang J. TFTF: An R-Based Integrative Tool for Decoding Human Transcription Factor-Target Interactions. Biomolecules 2024; 14:749. [PMID: 39062464 PMCID: PMC11274450 DOI: 10.3390/biom14070749] [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: 05/21/2024] [Revised: 06/20/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024] Open
Abstract
Transcription factors (TFs) are crucial in modulating gene expression and sculpting cellular and organismal phenotypes. The identification of TF-target gene interactions is pivotal for comprehending molecular pathways and disease etiologies but has been hindered by the demanding nature of traditional experimental approaches. This paper introduces a novel web application and package utilizing the R program, which predicts TF-target gene relationships and vice versa. Our application integrates the predictive power of various bioinformatic tools, leveraging their combined strengths to provide robust predictions. It merges databases for enhanced precision, incorporates gene expression correlation for accuracy, and employs pan-tissue correlation analysis for context-specific insights. The application also enables the integration of user data with established resources to analyze TF-target gene networks. Despite its current limitation to human data, it provides a platform to explore gene regulatory mechanisms comprehensively. This integrated, systematic approach offers researchers an invaluable tool for dissecting the complexities of gene regulation, with the potential for future expansions to include a broader range of species.
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Affiliation(s)
- Jin Wang
- School of Public Health, Suzhou Medical College, Soochow University, Suzhou 215123, China
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25
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Liu H, Qi B, Liu G, Duan H, Li Z, Shi Z, Chen Y, Chu WK, Zhou Q, Zhang BN. RAD21 deficiency drives corneal to scleral differentiation fate switching via upregulating WNT9B. iScience 2024; 27:109875. [PMID: 38774716 PMCID: PMC11107359 DOI: 10.1016/j.isci.2024.109875] [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: 11/02/2023] [Revised: 02/28/2024] [Accepted: 04/29/2024] [Indexed: 05/24/2024] Open
Abstract
The cornea and sclera are distinct adjacent tissues, yet their stromal cells originate from common neural crest cells (NCCs). Sclerocornea is a disease characterized by an indistinguishable boundary between the cornea and sclera. Previously, we identified a RAD21 mutation in a sclerocornea pedigree. Here, we investigated the impacts of RAD21 on NCC activities during eye development. RAD21 deficiency caused upregulation of PCDHGC3. Both RAD21 knockdown and PCDHGC3 upregulation disrupted the migration of NCCs. Transcriptome analysis indicated that WNT9B had 190.9-fold higher expression in scleral stroma than in corneal stroma. WNT9B was also significantly upregulated by both RAD21 knockdown and PCDHGC3 overexpression, and knock down of WNT9B rescued the differentiation and migration of NCCs with RAD21 deficiency. Consistently, overexpressing wnt9b in Xenopus tropicalis led to ocular developmental abnormalities. In summary, WNT9B is a determinant factor during NCC differentiation into corneal keratocytes or scleral stromal cells and is affected by RAD21 expression.
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Affiliation(s)
- Hongyan Liu
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China
- School of Ophthalmology, Shandong First Medical University, Qingdao, China
| | - Benxiang Qi
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China
- School of Ophthalmology, Shandong First Medical University, Qingdao, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, China
| | - Guanghui Liu
- Department of Chemical Biology, School of Life Sciences, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, China
| | - Haoyun Duan
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China
- School of Ophthalmology, Shandong First Medical University, Qingdao, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, China
| | - Zongyi Li
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China
- School of Ophthalmology, Shandong First Medical University, Qingdao, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, China
| | - Zhaoying Shi
- Department of Chemical Biology, School of Life Sciences, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, China
| | - Yonglong Chen
- Department of Chemical Biology, School of Life Sciences, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, China
| | - Wai Kit Chu
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Qingjun Zhou
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China
- School of Ophthalmology, Shandong First Medical University, Qingdao, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, China
| | - Bi Ning Zhang
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, Qingdao, China
- School of Ophthalmology, Shandong First Medical University, Qingdao, China
- State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, Qingdao, China
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Katznelson A, Hernandez B, Fahning H, Zhang J, Burton A, Torres-Padilla ME, Plachta N, Zaret KS, McCarthy RL. Heterochromatin protein ERH represses alternative cell fates during early mammalian differentiation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.06.597604. [PMID: 38895478 PMCID: PMC11185749 DOI: 10.1101/2024.06.06.597604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
During development, H3K9me3 heterochromatin is dynamically rearranged, silencing repeat elements and protein coding genes to restrict cell identity. Enhancer of Rudimentary Homolog (ERH) is an evolutionarily conserved protein originally characterized in fission yeast and recently shown to be required for H3K9me3 maintenance in human fibroblasts, but its function during development remains unknown. Here, we show that ERH is required for proper segregation of the inner cell mass and trophectoderm cell lineages during mouse development by repressing totipotent and alternative lineage programs. During human embryonic stem cell (hESC) differentiation into germ layer lineages, ERH is crucial for silencing naïve and pluripotency genes, transposable elements, and alternative lineage genes. Strikingly, ERH depletion in somatic cells reverts the H3K9me3 landscape to an hESC state and enables naïve and pluripotency gene and transposable element activation during iPSC reprogramming. Our findings reveal a role for ERH in initiation and maintenance of developmentally established gene repression.
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Ni P, Wu S, Su Z. Validated Negative Regions (VNRs) in the VISTA Database might be Truncated Forms of Bona Fide Enhancers. ADVANCED GENETICS (HOBOKEN, N.J.) 2024; 5:2300209. [PMID: 38884049 PMCID: PMC11170074 DOI: 10.1002/ggn2.202300209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/16/2024] [Indexed: 06/18/2024]
Abstract
The VISTA enhancer database is a valuable resource for evaluating predicted enhancers in humans and mice. In addition to thousands of validated positive regions (VPRs) in the human and mouse genomes, the database also contains similar numbers of validated negative regions (VNRs). It is previously shown that the VPRs are on average half as long as predicted overlapping enhancers that are highly conserved and hypothesize that the VPRs may be truncated forms of long bona fide enhancers. Here, it is shown that like the VPRs, the VNRs also are under strong evolutionary constraints and overlap predicted enhancers in the genomes. The VNRs are also on average half as long as predicted overlapping enhancers that are highly conserved. Moreover, the VNRs and the VPRs display similar cell/tissue-specific modification patterns of key epigenetic marks of active enhancers. Furthermore, the VNRs and the VPRs show similar impact score spectra of in silico mutagenesis. These highly similar properties between the VPRs and the VNRs suggest that like the VPRs, the VNRs may also be truncated forms of long bona fide enhancers.
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Affiliation(s)
- Pengyu Ni
- Department of Bioinformatics and Genomics the University of North Carolina at Charlotte Charlotte NC 28223 USA
- Present address: Department of Molecular Biophysics & Biochemistry Yale University New Haven CT 06520 USA
| | - Siwen Wu
- Department of Bioinformatics and Genomics the University of North Carolina at Charlotte Charlotte NC 28223 USA
| | - Zhengchang Su
- Department of Bioinformatics and Genomics the University of North Carolina at Charlotte Charlotte NC 28223 USA
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Wen D, Xiao H, Gao Y, Zeng H, Deng J. N6-methyladenosine-modified SENP1, identified by IGF2BP3, is a novel molecular marker in acute myeloid leukemia and aggravates progression by activating AKT signal via de-SUMOylating HDAC2. Mol Cancer 2024; 23:116. [PMID: 38822351 PMCID: PMC11141000 DOI: 10.1186/s12943-024-02013-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: 11/14/2023] [Accepted: 04/30/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND Elevated evidence suggests that the SENPs family plays an important role in tumor progression. However, the role of SENPs in AML remains unclear. METHODS We evaluated the expression pattern of SENP1 based on RNA sequencing data obtained from OHSU, TCGA, TARGET, and MILE datasets. Clinical samples were used to verify the expression of SENP1 in the AML cells. Lentiviral vectors shRNA and sgRNA were used to intervene in SENP1 expression in AML cells, and the effects of SENP1 on AML proliferation and anti-apoptosis were detected using in vitro and in vivo models. Chip-qPCR, MERIP-qPCR, CO-IP, RNA pulldown, and dual-luciferase reporter gene assays were used to explore the regulatory mechanisms of SNEP1 in AML. RESULTS SENP1 was significantly upregulated in high-risk AML patients and closely related to poor prognosis. The AKT/mTOR signaling pathway is a key downstream pathway that mediates SENP1's regulation of AML proliferation and anti-apoptosis. Mechanistically, the CO-IP assay revealed binding between SENP1 and HDAC2. SUMO and Chip-qPCR assays suggested that SENP1 can desumoylate HDAC2, which enhances EGFR transcription and activates the AKT pathway. In addition, we found that IGF2BP3 expression was upregulated in high-risk AML patients and was positively correlated with SENP1 expression. MERIP-qPCR and RIP-qPCR showed that IGF2BP3 binds SENP1 3-UTR in an m6A manner, enhances SENP1 expression, and promotes AKT pathway conduction. CONCLUSIONS Our findings reveal a distinct mechanism of SENP1-mediated HDAC2-AKT activation and establish the critical role of the IGF2BP3/SENP1signaling axis in AML development.
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MESH Headings
- Humans
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/metabolism
- Leukemia, Myeloid, Acute/pathology
- Cysteine Endopeptidases/metabolism
- Cysteine Endopeptidases/genetics
- Adenosine/analogs & derivatives
- Adenosine/metabolism
- Proto-Oncogene Proteins c-akt/metabolism
- Histone Deacetylase 2/metabolism
- Histone Deacetylase 2/genetics
- Mice
- Animals
- RNA-Binding Proteins/metabolism
- RNA-Binding Proteins/genetics
- Cell Proliferation
- Sumoylation
- Biomarkers, Tumor/metabolism
- Biomarkers, Tumor/genetics
- Signal Transduction
- Disease Progression
- Cell Line, Tumor
- Apoptosis
- Prognosis
- Female
- Male
- Gene Expression Regulation, Leukemic
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Diguang Wen
- Department of Hematology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Hang Xiao
- Department of Hematology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Yueyi Gao
- Department of Hematology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Hanqing Zeng
- Department of Hematology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
| | - Jianchuan Deng
- Department of Hematology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
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Chen C, Padi M. Flexible modeling of regulatory networks improves transcription factor activity estimation. NPJ Syst Biol Appl 2024; 10:58. [PMID: 38806476 PMCID: PMC11133322 DOI: 10.1038/s41540-024-00386-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 05/13/2024] [Indexed: 05/30/2024] Open
Abstract
Transcriptional regulation plays a crucial role in determining cell fate and disease, yet inferring the key regulators from gene expression data remains a significant challenge. Existing methods for estimating transcription factor (TF) activity often rely on static TF-gene interaction databases and cannot adapt to changes in regulatory mechanisms across different cell types and disease conditions. Here, we present a new algorithm - Transcriptional Inference using Gene Expression and Regulatory data (TIGER) - that overcomes these limitations by flexibly modeling activation and inhibition events, up-weighting essential edges, shrinking irrelevant edges towards zero through a sparse Bayesian prior, and simultaneously estimating both TF activity levels and changes in the underlying regulatory network. When applied to yeast and cancer TF knock-out datasets, TIGER outperforms comparable methods in terms of prediction accuracy. Moreover, our application of TIGER to tissue- and cell-type-specific RNA-seq data demonstrates its ability to uncover differences in regulatory mechanisms. Collectively, our findings highlight the utility of modeling context-specific regulation when inferring transcription factor activities.
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Affiliation(s)
- Chen Chen
- Department of Epidemiology and Biostatistics, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, USA
| | - Megha Padi
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, USA.
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.
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30
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Seasock MJ, Shafiquzzaman M, Ruiz-Echartea ME, Kanchi RS, Tran BT, Simon LM, Meyer MD, Erice PA, Lotlikar SL, Wenlock SC, Ochsner SA, Enright A, Carisey AF, Romero F, Rosas IO, King KY, McKenna NJ, Coarfa C, Rodriguez A. Let-7 restrains an oncogenic epigenetic circuit in AT2 cells to prevent ectopic formation of fibrogenic transitional cell intermediates and pulmonary fibrosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.22.595205. [PMID: 38826218 PMCID: PMC11142151 DOI: 10.1101/2024.05.22.595205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Analysis of lung alveolar type 2 (AT2) progenitor stem cells has highlighted fundamental mechanisms that direct their differentiation into alveolar type 1 cells (AT1s) in lung repair and disease. However, microRNA (miRNA) mediated post-transcriptional mechanisms which govern this nexus remain understudied. We show here that the let-7 miRNA family serves a homeostatic role in governance of AT2 quiescence, specifically by preventing the uncontrolled accumulation of AT2 transitional cells and by promoting AT1 differentiation to safeguard the lung from spontaneous alveolar destruction and fibrosis. Using mice and organoid models with genetic ablation of let-7a1/let-7f1/let-7d cluster (let-7afd) in AT2 cells, we demonstrate prevents AT1 differentiation and results in aberrant accumulation of AT2 transitional cells in progressive pulmonary fibrosis. Integration of enhanced AGO2 UV-crosslinking and immunoprecipitation sequencing (AGO2-eCLIP) with RNA-sequencing from AT2 cells uncovered the induction of direct targets of let-7 in an oncogene feed-forward regulatory network including BACH1/EZH2 which drives an aberrant fibrotic cascade. Additional analyses by CUT&RUN-sequencing revealed loss of let-7afd hampers AT1 differentiation by eliciting aberrant histone EZH2 methylation which prevents the exit of AT2 transitional cells into terminal AT1s. This study identifies let-7 as a key gatekeeper of post-transcriptional and epigenetic chromatin signals to prevent AT2-driven pulmonary fibrosis.
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Affiliation(s)
- Matthew J. Seasock
- Immunology & Microbiology Graduate Program, Baylor College of Medicine, Houston, TX, 77030
- Department of Medicine, Immunology & Allergy Rheumatology, Baylor College of Medicine Houston TX, 77030
| | - Md Shafiquzzaman
- Department of Medicine, Immunology & Allergy Rheumatology, Baylor College of Medicine Houston TX, 77030
| | - Maria E. Ruiz-Echartea
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030
| | - Rupa S. Kanchi
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine Houston, TX, 77030
| | - Brandon T. Tran
- Graduate Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, TX, 77030
- Department of Pediatrics, Division of Infectious Diseases, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, 77030
| | - Lukas M. Simon
- Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX, 77030
| | | | - Phillip A. Erice
- Immunology & Microbiology Graduate Program, Baylor College of Medicine, Houston, TX, 77030
- Department of Medicine, Immunology & Allergy Rheumatology, Baylor College of Medicine Houston TX, 77030
| | - Shivani L. Lotlikar
- Department of Medicine, Immunology & Allergy Rheumatology, Baylor College of Medicine Houston TX, 77030
| | | | - Scott A. Ochsner
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030
| | - Anton Enright
- Department of Pathology, University of Cambridge, Cambridge, CB2 1TN, UK
| | - Alex F. Carisey
- William T. Shearer Center for Immunobiology, Texas Children’s Hospital, Houston, TX, 77030
- Current Address: Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Freddy Romero
- Department of Medicine, Section of Pulmonary and Critical Care, Baylor College of Medicine. Houston, TX, 77030
- Current Address: Vertex Pharmaceuticals, 3215 Merryfield Row, San Diego, CA, 92121
| | - Ivan O. Rosas
- Department of Medicine, Section of Pulmonary and Critical Care, Baylor College of Medicine. Houston, TX, 77030
| | - Katherine Y. King
- Department of Pediatrics, Division of Infectious Diseases, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, 77030
| | - Neil J. McKenna
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030
| | - Cristian Coarfa
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine Houston, TX, 77030
| | - Antony Rodriguez
- Department of Medicine, Immunology & Allergy Rheumatology, Baylor College of Medicine Houston TX, 77030
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine Houston, TX, 77030
- Center for Translational Research on Inflammatory Diseases, Michael E. Debakey, Baylor College of Medicine, Houston, TX, 77030
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Fu H, Pickering H, Rubbi L, Ross TM, Zhou W, Reed EF, Pellegrini M. The response to influenza vaccination is associated with DNA methylation-driven regulation of T cell innate antiviral pathways. RESEARCH SQUARE 2024:rs.3.rs-4324518. [PMID: 38826189 PMCID: PMC11142309 DOI: 10.21203/rs.3.rs-4324518/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Background The effect of vaccination on the epigenome remains poorly characterized. In previous research, we identified an association between seroprotection against influenza and DNA methylation at sites associated with the RIG-1 signaling pathway, which recognizes viral double-stranded RNA and leads to a type I interferon response. However, these studies did not fully account for confounding factors including age, gender, and BMI, along with changes in cell type composition. Results Here, we studied the influenza vaccine response in a longitudinal cohort vaccinated over two consecutive years (2019-2020 and 2020-2021), using peripheral blood mononuclear cells and a targeted DNA methylation approach. To address the effects of multiple factors on the epigenome, we designed a multivariate multiple regression model that included seroprotection levels as quantified by the hemagglutination-inhibition (HAI) assay test. Conclusions Our findings indicate that 179 methylation sites can be combined as potential signatures to predict seroprotection. These sites were not only enriched for genes involved in the regulation of the RIG-I signaling pathway, as found previously, but also enriched for other genes associated with innate immunity to viruses and the transcription factor binding sites of BRD4, which is known to impact T cell memory. We propose a model to suggest that the RIG-I pathway and BRD4 could potentially be modulated to improve immunization strategies.
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32
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Joosten SEP, Gregoricchio S, Stelloo S, Yapıcı E, Huang CCF, Yavuz K, Donaldson Collier M, Morova T, Altintaş UB, Kim Y, Canisius S, Moelans CB, van Diest PJ, Korkmaz G, Lack NA, Vermeulen M, Linn SC, Zwart W. Estrogen receptor 1 chromatin profiling in human breast tumors reveals high inter-patient heterogeneity with enrichment of risk SNPs and enhancer activity at most-conserved regions. Genome Res 2024; 34:539-555. [PMID: 38719469 PMCID: PMC11146591 DOI: 10.1101/gr.278680.123] [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: 10/30/2023] [Accepted: 04/11/2024] [Indexed: 06/05/2024]
Abstract
Estrogen Receptor 1 (ESR1; also known as ERα, encoded by ESR1 gene) is the main driver and prime drug target in luminal breast cancer. ESR1 chromatin binding is extensively studied in cell lines and a limited number of human tumors, using consensi of peaks shared among samples. However, little is known about inter-tumor heterogeneity of ESR1 chromatin action, along with its biological implications. Here, we use a large set of ESR1 ChIP-seq data from 70 ESR1+ breast cancers to explore inter-patient heterogeneity in ESR1 DNA binding to reveal a striking inter-tumor heterogeneity of ESR1 action. Of note, commonly shared ESR1 sites show the highest estrogen-driven enhancer activity and are most engaged in long-range chromatin interactions. In addition, the most commonly shared ESR1-occupied enhancers are enriched for breast cancer risk SNP loci. We experimentally confirm SNVs to impact chromatin binding potential for ESR1 and its pioneer factor FOXA1. Finally, in the TCGA breast cancer cohort, we can confirm these variations to associate with differences in expression for the target gene. Cumulatively, we reveal a natural hierarchy of ESR1-chromatin interactions in breast cancers within a highly heterogeneous inter-tumor ESR1 landscape, with the most common shared regions being most active and affected by germline functional risk SNPs for breast cancer development.
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Affiliation(s)
- Stacey E P Joosten
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Sebastian Gregoricchio
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Suzan Stelloo
- Oncode Institute, The Netherlands
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, 6500HB Nijmegen, The Netherlands
| | - Elif Yapıcı
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
| | - Chia-Chi Flora Huang
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Kerim Yavuz
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Maria Donaldson Collier
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, The Netherlands
| | - Tunç Morova
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Umut Berkay Altintaş
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Yongsoo Kim
- Department of Pathology, Amsterdam University Medical Center, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Sander Canisius
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Cathy B Moelans
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
| | - Paul J van Diest
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
| | - Gozde Korkmaz
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
| | - Nathan A Lack
- Koç University School of Medicine, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), 34450 Istanbul, Turkey
- Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6 Canada
| | - Michiel Vermeulen
- Oncode Institute, The Netherlands
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, 6500HB Nijmegen, The Netherlands
- Division of Molecular Genetics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Sabine C Linn
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
- Department of Pathology, Utrecht University Medical Centre, 3584 CX Utrecht, The Netherlands
- Department of Medical Oncology, Antoni van Leeuwenhoek Hospital, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Wilbert Zwart
- Division of Oncogenomics, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands;
- Oncode Institute, The Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
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Li Y, Huang R, Ye J, Han X, Meng T, Song D, Yin H. Identification of key eRNAs for intervertebral disc degeneration by integrated multinomial bioinformatics analysis. BMC Musculoskelet Disord 2024; 25:356. [PMID: 38704519 PMCID: PMC11069191 DOI: 10.1186/s12891-024-07438-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 04/12/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Intervertebral disc degeneration (IVDD) is a common degenerative condition leading to abnormal stress distribution under load, causing intervertebral stenosis, facet joint degeneration, and foraminal stenosis. Very little is known about the molecular mechanism of eRNAs in IVDD. METHODS Gene expression profiles of 38 annulus disc samples composed of 27 less degenerated discs (LDs) and 11 more degenerated discs (MDs) were retrieved from the GEO database. Then, differentially expressed enhancer RNAs (DEeRNAs), differentially expressed target genes (DETGs), and differentially expressed transcription factors (DETFs), hallmark of cancer signalling pathways according to GSVA; the types and quantity of immune cells according to CIBERSORT; and immune gene sets according to ssGSEA were analysed to construct an IVDD-related eRNA network. Then, multidimensional validation was performed to explore the interactions among DEeRNAs, DETFs and DEGs in space. RESULTS A total of 53 components, 14 DETGs, 15 DEeRNAs, 3 DETFs, 5 immune cells, 9 hallmarks, and 7 immune gene sets, were selected to construct the regulatory network. After validation by online multidimensional databases, 21 interactive DEeRNA-DEG-DETF axes related to IVDD exacerbation were identified, among which the C1S-CTNNB1-CHD4 axis was the most significant. CONCLUSION Based upon the results of our study, we theorize that the C1S-CTNNB1-CHD4 axis plays a vital role in IVDD exacerbation. Specifically, C1S recruits CTNNB1 and upregulates the expression of CHD4 in IVDD, and subsequently, CHD4 suppresses glycolysis and activates oxidative phosphorylation, thus generating insoluble collagen fibre deposits and leading to the progression of IVDD. Overall, these DEeRNAs could comprise promising therapeutic targets for IVDD due to their high tissue specificity.
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Affiliation(s)
- Yongai Li
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Runzhi Huang
- Department of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Jianxin Ye
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaying Han
- Department of General Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tong Meng
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Dianwen Song
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Huabin Yin
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Ramírez-Cuéllar J, Ferrari R, Sanz RT, Valverde-Santiago M, García-García J, Nacht AS, Castillo D, Le Dily F, Neguembor MV, Malatesta M, Bonnin S, Marti-Renom MA, Beato M, Vicent GP. LATS1 controls CTCF chromatin occupancy and hormonal response of 3D-grown breast cancer cells. EMBO J 2024; 43:1770-1798. [PMID: 38565950 PMCID: PMC11066098 DOI: 10.1038/s44318-024-00080-x] [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: 05/15/2023] [Revised: 02/05/2024] [Accepted: 02/27/2024] [Indexed: 04/04/2024] Open
Abstract
The cancer epigenome has been studied in cells cultured in two-dimensional (2D) monolayers, but recent studies highlight the impact of the extracellular matrix and the three-dimensional (3D) environment on multiple cellular functions. Here, we report the physical, biochemical, and genomic differences between T47D breast cancer cells cultured in 2D and as 3D spheroids. Cells within 3D spheroids exhibit a rounder nucleus with less accessible, more compacted chromatin, as well as altered expression of ~2000 genes, the majority of which become repressed. Hi-C analysis reveals that cells in 3D are enriched for regions belonging to the B compartment, have decreased chromatin-bound CTCF and increased fusion of topologically associating domains (TADs). Upregulation of the Hippo pathway in 3D spheroids results in the activation of the LATS1 kinase, which promotes phosphorylation and displacement of CTCF from DNA, thereby likely causing the observed TAD fusions. 3D cells show higher chromatin binding of progesterone receptor (PR), leading to an increase in the number of hormone-regulated genes. This effect is in part mediated by LATS1 activation, which favors cytoplasmic retention of YAP and CTCF removal.
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Affiliation(s)
- Julieta Ramírez-Cuéllar
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Roberto Ferrari
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Rosario T Sanz
- Molecular Biology Institute of Barcelona, Consejo Superior de Investigaciones Científicas (IBMB-CSIC), C/ Baldiri Reixac, 4-8, 08028, Barcelona, Spain
| | - Marta Valverde-Santiago
- Molecular Biology Institute of Barcelona, Consejo Superior de Investigaciones Científicas (IBMB-CSIC), C/ Baldiri Reixac, 4-8, 08028, Barcelona, Spain
| | - Judith García-García
- Molecular Biology Institute of Barcelona, Consejo Superior de Investigaciones Científicas (IBMB-CSIC), C/ Baldiri Reixac, 4-8, 08028, Barcelona, Spain
| | - A Silvina Nacht
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain
| | - David Castillo
- CNAG-CRG, Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Baldiri Reixac 4, Barcelona, 08028, Spain
| | - Francois Le Dily
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain
| | - Maria Victoria Neguembor
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain
| | - Marco Malatesta
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Sarah Bonnin
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain
| | - Marc A Marti-Renom
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Baldiri Reixac 4, Barcelona, 08028, Spain
- ICREA, Barcelona, Spain
| | - Miguel Beato
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Guillermo P Vicent
- Center for Genomic Regulation (CRG), Barcelona Institute for Science and Technology (BIST) Barcelona, Barcelona, Spain.
- Molecular Biology Institute of Barcelona, Consejo Superior de Investigaciones Científicas (IBMB-CSIC), C/ Baldiri Reixac, 4-8, 08028, Barcelona, Spain.
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Hauck AK, Mehmood R, Carpenter BJ, Frankfurter MT, Tackenberg MC, Inoue SI, Krieg MK, Cassim Bawa FN, Midha MK, Zundell DM, Batmanov K, Lazar MA. Nuclear receptor corepressors non-canonically drive glucocorticoid receptor-dependent activation of hepatic gluconeogenesis. Nat Metab 2024; 6:825-836. [PMID: 38622413 DOI: 10.1038/s42255-024-01029-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 03/07/2024] [Indexed: 04/17/2024]
Abstract
Nuclear receptor corepressors (NCoRs) function in multiprotein complexes containing histone deacetylase 3 (HDAC3) to alter transcriptional output primarily through repressive chromatin remodelling at target loci1-5. In the liver, loss of HDAC3 causes a marked hepatosteatosis largely because of de-repression of genes involved in lipid metabolism6,7; however, the individual roles and contribution of other complex members to hepatic and systemic metabolic regulation are unclear. Here we show that adult loss of both NCoR1 and NCoR2 (double knockout (KO)) in hepatocytes phenocopied the hepatomegalic fatty liver phenotype of HDAC3 KO. In addition, double KO livers exhibited a dramatic reduction in glycogen storage and gluconeogenic gene expression that was not observed with hepatic KO of individual NCoRs or HDAC3, resulting in profound fasting hypoglycaemia. This surprising HDAC3-independent activation function of NCoR1 and NCoR2 is due to an unexpected loss of chromatin accessibility on deletion of NCoRs that prevented glucocorticoid receptor binding and stimulatory effect on gluconeogenic genes. These studies reveal an unanticipated, non-canonical activation function of NCoRs that is required for metabolic health.
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Affiliation(s)
- Amy K Hauck
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rashid Mehmood
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bryce J Carpenter
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Maxwell T Frankfurter
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael C Tackenberg
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Shin-Ichi Inoue
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Maria K Krieg
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Fathima N Cassim Bawa
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mohit K Midha
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Delaine M Zundell
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kirill Batmanov
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mitchell A Lazar
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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36
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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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37
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Chen Z, Guo X, Tao R, Huyghe JR, Law PJ, Fernandez-Rozadilla C, Ping J, Jia G, Long J, Li C, Shen Q, Xie Y, Timofeeva MN, Thomas M, Schmit SL, Díez-Obrero V, Devall M, Moratalla-Navarro F, Fernandez-Tajes J, Palles C, Sherwood K, Briggs SEW, Svinti V, Donnelly K, Farrington SM, Blackmur J, Vaughan-Shaw PG, Shu XO, Lu Y, Broderick P, Studd J, Harrison TA, Conti DV, Schumacher FR, Melas M, Rennert G, Obón-Santacana M, Martín-Sánchez V, Oh JH, Kim J, Jee SH, Jung KJ, Kweon SS, Shin MH, Shin A, Ahn YO, Kim DH, Oze I, Wen W, Matsuo K, Matsuda K, Tanikawa C, Ren Z, Gao YT, Jia WH, Hopper JL, Jenkins MA, Win AK, Pai RK, Figueiredo JC, Haile RW, Gallinger S, Woods MO, Newcomb PA, Duggan D, Cheadle JP, Kaplan R, Kerr R, Kerr D, Kirac I, Böhm J, Mecklin JP, Jousilahti P, Knekt P, Aaltonen LA, Rissanen H, Pukkala E, Eriksson JG, Cajuso T, Hänninen U, Kondelin J, Palin K, Tanskanen T, Renkonen-Sinisalo L, Männistö S, Albanes D, Weinstein SJ, Ruiz-Narvaez E, Palmer JR, Buchanan DD, Platz EA, Visvanathan K, Ulrich CM, Siegel E, Brezina S, Gsur A, Campbell PT, Chang-Claude J, Hoffmeister M, Brenner H, Slattery ML, Potter JD, Tsilidis KK, Schulze MB, Gunter MJ, Murphy N, Castells A, Castellví-Bel S, Moreira L, Arndt V, Shcherbina A, Bishop DT, Giles GG, Southey MC, Idos GE, McDonnell KJ, Abu-Ful Z, Greenson JK, Shulman K, Lejbkowicz F, Offit K, Su YR, Steinfelder R, Keku TO, van Guelpen B, Hudson TJ, Hampel H, Pearlman R, Berndt SI, Hayes RB, Martinez ME, Thomas SS, Pharoah PDP, Larsson SC, Yen Y, Lenz HJ, White E, Li L, Doheny KF, Pugh E, Shelford T, Chan AT, Cruz-Correa M, Lindblom A, Hunter DJ, Joshi AD, Schafmayer C, Scacheri PC, Kundaje A, Schoen RE, Hampe J, Stadler ZK, Vodicka P, Vodickova L, Vymetalkova V, Edlund CK, Gauderman WJ, Shibata D, Toland A, Markowitz S, Kim A, Chanock SJ, van Duijnhoven F, Feskens EJM, Sakoda LC, Gago-Dominguez M, Wolk A, Pardini B, FitzGerald LM, Lee SC, Ogino S, Bien SA, Kooperberg C, Li CI, Lin Y, Prentice R, Qu C, Bézieau S, Yamaji T, Sawada N, Iwasaki M, Le Marchand L, Wu AH, Qu C, McNeil CE, Coetzee G, Hayward C, Deary IJ, Harris SE, Theodoratou E, Reid S, Walker M, Ooi LY, Lau KS, Zhao H, Hsu L, Cai Q, Dunlop MG, Gruber SB, Houlston RS, Moreno V, Casey G, Peters U, Tomlinson I, Zheng W. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes. Nat Commun 2024; 15:3557. [PMID: 38670944 PMCID: PMC11053150 DOI: 10.1038/s41467-024-47399-x] [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: 10/16/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development.
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Affiliation(s)
- Zhishan Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, 37232, TN, USA
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Philip J Law
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Ceres Fernandez-Rozadilla
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
- Genomic Medicine Group, Instituto de Investigacion Sanitaria de Santiago, Santiago de Compostela, Spain
| | - Jie Ping
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Chao Li
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Quanhu Shen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuhan Xie
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Maria N Timofeeva
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Danish Institute for Advanced Study, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Minta Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Virginia Díez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Matthew Devall
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Ferran Moratalla-Navarro
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Juan Fernandez-Tajes
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Claire Palles
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Kitty Sherwood
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Sarah E W Briggs
- Department of Public Health, Richard Doll Building, University of Oxford, Oxford, UK
| | - Victoria Svinti
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Kevin Donnelly
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Susan M Farrington
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - James Blackmur
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Peter G Vaughan-Shaw
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yingchang Lu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Peter Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - James Studd
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David V Conti
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Fredrick R Schumacher
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Marilena Melas
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Gad Rennert
- Clalit National Cancer Control Center, Haifa, Israel
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Mireia Obón-Santacana
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Vicente Martín-Sánchez
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Biomedicine Institute, University of León, León, Spain
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Gyeonggi-do, South Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Keum Ji Jung
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | - Aesun Shin
- Cancer Research Institute, Seoul National University, Seoul, South Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, South Korea
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Keitaro Matsuo
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Chizu Tanikawa
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Zefang Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Jane C Figueiredo
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Robert W Haile
- Division of Oncology, Department of Medicine, Cedars-Sinai Cancer Research Center for Health Equity, Los Angeles, CA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Michael O Woods
- Division of Biomedical Sciences, Memorial University of Newfoundland, St. John, ON, Canada
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - David Duggan
- City of Hope National Medical Center, Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | - Richard Kaplan
- MRC Clinical Trials Unit, Medical Research Council, Cardiff, UK
| | - Rachel Kerr
- Department of Oncology, University of Oxford, Oxford, UK
| | - David Kerr
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Iva Kirac
- Department of Surgical Oncology, University Hospital for Tumors, Sestre milosrdnice University Hospital Center, Zagreb, Croatia
| | - Jan Böhm
- Department of Pathology, Central Finland Health Care District, Jyväskylä, Finland
| | | | - Pekka Jousilahti
- Department of Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Paul Knekt
- Department of Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Lauri A Aaltonen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Harri Rissanen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Eero Pukkala
- Faculty of Social Sciences, Tampere University, Tampere, Finland
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Johan G Eriksson
- Folkhälsan Research Centre, University of Helsinki, Helsinki, Finland
- Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
- Unit of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tatiana Cajuso
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Ulrika Hänninen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Johanna Kondelin
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Kimmo Palin
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Tomas Tanskanen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | | | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Julie R Palmer
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, University of Melbourne, Parkville, VIC, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Erin Siegel
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg, Hamburg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Antoni Castells
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Leticia Moreira
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC, Australia
| | - Gregory E Idos
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Kevin J McDonnell
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Zomoroda Abu-Ful
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Joel K Greenson
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Katerina Shulman
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Flavio Lejbkowicz
- Clalit National Cancer Control Center, Haifa, Israel
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit Health Services, Personalized Genomic Service, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Yu-Ru Su
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Robert Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | | | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Marie Elena Martinez
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
- Population Sciences, Disparities and Community Engagement, University of California San Diego Moores Cancer Center, La Jolla, CA, USA
| | | | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yun Yen
- Taipei Medical University, Taipei, Taiwan
| | - Heinz-Josef Lenz
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Li Li
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Kimberly F Doheny
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elizabeth Pugh
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tameka Shelford
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew T Chan
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Marcia Cruz-Correa
- Comprehensive Cancer Center, University of Puerto Rico, San Juan, Puerto Rico
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Clemens Schafmayer
- Department of General Surgery, University Hospital Rostock, Rostock, Germany
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden, Dresden, Germany
| | - Zsofia K Stadler
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Christopher K Edlund
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - W James Gauderman
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Amanda Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, Ohio State University, Columbus, OH, USA
| | - Sanford Markowitz
- Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA
| | - Andre Kim
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Franzel van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Edith J M Feskens
- Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Public Foundation of Genomic Medicine, Servicio Galego de Saude, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Barbara Pardini
- Candiolo Cancer Institute FPO-IRCCS, Candiolo, (TO), Italy
- Italian Institute for Genomic Medicine, Candiolo Cancer Institute FPO-IRCCS, Candiolo, (TO), Italy
| | - Liesel M FitzGerald
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Soo Chin Lee
- National University Cancer Institute, Singapore, Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cancer Immunology Program, Dana-Farber Harvard Cancer Center, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ross Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire Nantes, Nantes, France
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | | | - Anna H Wu
- Preventative Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chenxu Qu
- USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Caroline E McNeil
- USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Sarah E Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Stuart Reid
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Marion Walker
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Li Yin Ooi
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Department of Pathology, National University Hospital, National University Health System, Singapore, Singapore
| | - Ken S Lau
- Epithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Stephen B Gruber
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Richard S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Ian Tomlinson
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
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Bingyu W, Xi Y, Jiangfang L, Jianqing Z. Key chromatin regulator-related genes associated with the risk of coronary artery disease regulate the expression of HCFC1, RNF8, TNP1 and SET. Heliyon 2024; 10:e28685. [PMID: 38596069 PMCID: PMC11002600 DOI: 10.1016/j.heliyon.2024.e28685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 03/12/2024] [Accepted: 03/22/2024] [Indexed: 04/11/2024] Open
Abstract
Chromatin regulators are indispensable upstream epigenetic regulators.The emergence and progression of atherosclerosis has been demonstrated to be influenced by smooth muscle-related chromatin regulators, such as ZEB2 and MAFF. However, specific chromatin regulators and their possible roles have not been clarified. Information was gathered from 51 patients diagnosed with coronary artery disease (CAD) and 50 individuals in good health from the GEO database. 440 genes were identified as having differential expression across the two datasets, and these genes were linked to cellular reactions. Enrichment of pathways related to histone modification and transcriptional regulatory factors was observed in GO and KEGG analyses. Four machine learning models (RF, SVM, GLM, and XGB) were developed using the expression profiles of 440 chromatin-associated genes in the CAD cohort to pinpoint genes with significant diagnostic potential. After evaluating residuals, root mean square errors, receiver operating characteristic curves, and immune-infiltration, four key genes (HCFC1, RNF8, TNP1, and SET) were identified. Gene expression in different blood vessel levels in atherosclerotic plaques in a mouse model of coronary artery disease showed significant variations. The gene expression levels in macrophages aligned with clinical data from the GEO database as expected. This discovery is crucial for future analysis and the prediction of drug and miRNA targets. In conclusion, we found that the four hub genes are important in the mechanism of CAD. These findings provide new ideas for the study of potential epigenetic predictive markers and therapeutic targets to be used in determining a treatment strategy for CAD.
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Affiliation(s)
- Wang Bingyu
- Department of Cardiovascular, Ningbo Medical Center Lihuili Hospital, Ningbo, China
| | - Yang Xi
- Department of Cardiovascular, Ningbo Medical Center Lihuili Hospital, Ningbo, China
- Ningbo Institute of Innovation for Combined Medicine and Engineering, Ningbo, China
| | - Lian Jiangfang
- Department of Cardiovascular, Ningbo Medical Center Lihuili Hospital, Ningbo, China
- Ningbo Institute of Innovation for Combined Medicine and Engineering, Ningbo, China
| | - Zhou Jianqing
- Department of Cardiovascular, Ningbo Medical Center Lihuili Hospital, Ningbo, China
- Ningbo Institute of Innovation for Combined Medicine and Engineering, Ningbo, China
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Gao Z, Jiang R, Chen S. OpenAnnotateApi: Python and R packages to efficiently annotate and analyze chromatin accessibility of genomic regions. BIOINFORMATICS ADVANCES 2024; 4:vbae055. [PMID: 38645715 PMCID: PMC11031356 DOI: 10.1093/bioadv/vbae055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/20/2024] [Accepted: 04/08/2024] [Indexed: 04/23/2024]
Abstract
Summary Chromatin accessibility serves as a critical measurement of physical contact between nuclear macromolecules and DNA sequence, providing valuable insights into the comprehensive landscape of regulatory mechanisms, thus we previously developed the OpenAnnotate web server. However, as an increasing number of epigenomic analysis software tools emerged, web-based annotation often faced limitations and inconveniences when integrated into these software pipelines. To address these issues, we here develop two software packages named OpenAnnotatePy and OpenAnnotateR. In addition to web-based functionalities, these packages encompass supplementary features, including the capability for simultaneous annotation across multiple cell types, advanced searching of systems, tissues and cell types, and converting the result to the data structure of mainstream tools. Moreover, we applied the packages to various scenarios, including cell type revealing, regulatory element prediction, and integration into mainstream single-cell ATAC-seq analysis pipelines including EpiScanpy, Signac, and ArchR. We anticipate that OpenAnnotateApi will significantly facilitate the deciphering of gene regulatory mechanisms, and offer crucial assistance in the field of epigenomic studies. Availability and implementation OpenAnnotateApi for R is available at https://github.com/ZjGaothu/OpenAnnotateR and for Python is available at https://github.com/ZjGaothu/OpenAnnotatePy.
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Affiliation(s)
- Zijing Gao
- Ministry of Education Key Laboratory of Bioinformatics, Bioinformatics Division at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Rui Jiang
- Ministry of Education Key Laboratory of Bioinformatics, Bioinformatics Division at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Shengquan Chen
- School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China
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40
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Cattaneo G, Ventin M, Arya S, Kontos F, Michelakos T, Sekigami Y, Cai L, Villani V, Sabbatino F, Chen F, Sadagopan A, Deshpande V, Moore PA, Ting DT, Bardeesy N, Wang X, Ferrone S, Ferrone CR. Interplay between B7-H3 and HLA class I in the clinical course of pancreatic ductal adenocarcinoma. Cancer Lett 2024; 587:216713. [PMID: 38364961 PMCID: PMC11146152 DOI: 10.1016/j.canlet.2024.216713] [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: 10/17/2023] [Revised: 01/16/2024] [Accepted: 02/05/2024] [Indexed: 02/18/2024]
Abstract
Human leukocyte antigen (HLA) class I defects are associated with cancer progression. However, their prognostic significance is controversial and may be modulated by immune checkpoints. Here, we investigated whether the checkpoint B7-H3 modulates the relationship between HLA class I and pancreatic ductal adenocarcinoma (PDAC) prognosis. PDAC tumors were analyzed for the expression of B7-H3, HLA class I, HLA class II molecules, and for the presence of tumor-infiltrating immune cells. We observed defective HLA class I and HLA class II expressions in 75% and 59% of PDAC samples, respectively. HLA class I and B7-H3 expression were positively related at mRNA and protein level, potentially because of shared regulation by RELA, a sub-unit of NF-kB. High B7-H3 expression and low CD8+ T cell density were indicators of poor survival, while HLA class I was not. Defective HLA class I expression was associated with unfavorable survival only in patients with low B7-H3 expression. Favorable survival was observed only when HLA class I expression was high and B7-H3 expression low. Our results provide the rationale for targeting B7-H3 in patients with PDAC tumors displaying high HLA class I levels.
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Affiliation(s)
- Giulia Cattaneo
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States. https://twitter.com/GCattaneoPhD
| | - Marco Ventin
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Shahrzad Arya
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Filippos Kontos
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Theodoros Michelakos
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Yurie Sekigami
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Lei Cai
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Vincenzo Villani
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Francesco Sabbatino
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | | | - Ananthan Sadagopan
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Vikram Deshpande
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | | | - David T Ting
- MassGeneral Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Nabeel Bardeesy
- MassGeneral Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Xinhui Wang
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Soldano Ferrone
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Cristina R Ferrone
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
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41
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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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42
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Tian M, Wang Z, Su Z, Shibata E, Shibata Y, Dutta A, Zang C. Integrative analysis of DNA replication origins and ORC-/MCM-binding sites in human cells reveals a lack of overlap. eLife 2024; 12:RP89548. [PMID: 38567819 PMCID: PMC10990492 DOI: 10.7554/elife.89548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2024] Open
Abstract
Based on experimentally determined average inter-origin distances of ~100 kb, DNA replication initiates from ~50,000 origins on human chromosomes in each cell cycle. The origins are believed to be specified by binding of factors like the origin recognition complex (ORC) or CTCF or other features like G-quadruplexes. We have performed an integrative analysis of 113 genome-wide human origin profiles (from five different techniques) and five ORC-binding profiles to critically evaluate whether the most reproducible origins are specified by these features. Out of ~7.5 million union origins identified by all datasets, only 0.27% (20,250 shared origins) were reproducibly obtained in at least 20 independent SNS-seq datasets and contained in initiation zones identified by each of three other techniques, suggesting extensive variability in origin usage and identification. Also, 21% of the shared origins overlap with transcriptional promoters, posing a conundrum. Although the shared origins overlap more than union origins with constitutive CTCF-binding sites, G-quadruplex sites, and activating histone marks, these overlaps are comparable or less than that of known transcription start sites, so that these features could be enriched in origins because of the overlap of origins with epigenetically open, promoter-like sequences. Only 6.4% of the 20,250 shared origins were within 1 kb from any of the ~13,000 reproducible ORC-binding sites in human cancer cells, and only 4.5% were within 1 kb of the ~11,000 union MCM2-7-binding sites in contrast to the nearly 100% overlap in the two comparisons in the yeast, Saccharomyces cerevisiae. Thus, in human cancer cell lines, replication origins appear to be specified by highly variable stochastic events dependent on the high epigenetic accessibility around promoters, without extensive overlap between the most reproducible origins and currently known ORC- or MCM-binding sites.
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Affiliation(s)
- Mengxue Tian
- Center for Public Health Genomics, University of Virginia School of MedicineCharlottesvilleUnited States
- Department of Biochemistry and Molecular Genetics, University of Virginia School of MedicineCharlottesvilleUnited States
| | - Zhenjia Wang
- Center for Public Health Genomics, University of Virginia School of MedicineCharlottesvilleUnited States
| | - Zhangli Su
- Department of Biochemistry and Molecular Genetics, University of Virginia School of MedicineCharlottesvilleUnited States
- Department of Genetics, University of Alabama at BirminghamBirminghamUnited States
| | - Etsuko Shibata
- Department of Biochemistry and Molecular Genetics, University of Virginia School of MedicineCharlottesvilleUnited States
- Department of Genetics, University of Alabama at BirminghamBirminghamUnited States
| | - Yoshiyuki Shibata
- Department of Biochemistry and Molecular Genetics, University of Virginia School of MedicineCharlottesvilleUnited States
- Department of Genetics, University of Alabama at BirminghamBirminghamUnited States
| | - Anindya Dutta
- Department of Biochemistry and Molecular Genetics, University of Virginia School of MedicineCharlottesvilleUnited States
- Department of Genetics, University of Alabama at BirminghamBirminghamUnited States
| | - Chongzhi Zang
- Center for Public Health Genomics, University of Virginia School of MedicineCharlottesvilleUnited States
- Department of Biochemistry and Molecular Genetics, University of Virginia School of MedicineCharlottesvilleUnited States
- Department of Public Health Sciences, University of VirginiaCharlottesvilleUnited States
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Chen YF, Pang YC, Wang HC, Wu PE, Chen ZJ, Huang D, Peng DL, Yan YM, Liu C, Wu LC, Fan XZ, Cheng YX, Liu YQ. Identification of arnicolide C as a novel chemosensitizer to suppress mTOR/E2F1/FANCD2 axis in non-small cell lung cancer. Br J Pharmacol 2024; 181:1221-1237. [PMID: 37926864 DOI: 10.1111/bph.16281] [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: 01/02/2023] [Revised: 10/14/2023] [Accepted: 10/25/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND AND PURPOSE The mammalian target of rapamycin (mTOR) pathway plays critical roles in intrinsic chemoresistance by regulating Fanconi anaemia complementation group D2 (FANCD2) expression. However, the mechanisms by which mTOR regulates FANCD2 expression and related inhibitors are not clearly elucidated. Extracts of Centipeda minima (C. minima) showed promising chemosensitizing effects by inhibiting FANCD2 activity. Here, we have aimed to identify the bioactive chemosensitizer in C. minima extracts and elucidate its underlying mechanism. EXPERIMENTAL APPROACH The chemosensitizing effects of arnicolide C (ArC), a bioactive compound in C. minima, on non-small cell lung cancer (NSCLC) were investigated using immunoblotting, immunofluorescence, flow cytometry, the comet assay, small interfering RNA (siRNA) transfection and animal models. The online SynergyFinder software was used to determine the synergistic effects of ArC and chemotherapeutic drugs on NSCLC cells. KEY RESULTS ArC had synergistic cytotoxic effects with DNA cross-linking drugs such as cisplatin and mitomycin C in NSCLC cells. ArC treatment markedly decreased FANCD2 expression in NSCLC cells, thus attenuating cisplatin-induced FANCD2 nuclear foci formation, leading to DNA damage and apoptosis. ArC inhibited the mTOR pathway and attenuated mTOR-mediated expression of E2F1, a critical transcription factor of FANCD2. Co-administration of ArC and cisplatin exerted synergistic anticancer effects in the A549 xenograft mouse model by suppressing mTOR/FANCD2 signalling in tumour tissues. CONCLUSION AND IMPLICATIONS ArC suppressed DNA cross-linking drug-induced DNA damage response by inhibiting the mTOR/E2F1/FANCD2 signalling axis, serving as a chemosensitizing agent. This provides insight into the anticancer mechanisms of ArC and offers a potential combinatorial anticancer therapeutic strategy.
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Affiliation(s)
- Yu-Fei Chen
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
| | - Yan-Chun Pang
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
| | - Han-Chen Wang
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
| | - Pei-En Wu
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
| | - Zi-Jie Chen
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
| | - Da Huang
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
| | - Dong-Ling Peng
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
| | - Yong-Ming Yan
- Institute for Inheritance-Based Innovation of Chinese Medicine, Marshall Laboratory of Biomedical Engineering, School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, China
| | - Changhui Liu
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
| | - Li-Chuan Wu
- Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, China
| | - Xiang-Zhen Fan
- Department of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, China
| | - Yong-Xian Cheng
- Institute for Inheritance-Based Innovation of Chinese Medicine, Marshall Laboratory of Biomedical Engineering, School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, China
| | - Yong-Qiang Liu
- Research Center of Chinese Herbal Resource Science and Engineering, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
- Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Guangzhou, China
- Dongguan Institute of Guangzhou University of Chinese Medicine, Dongguan, China
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Huang HZ, Ai WQ, Wei N, Zhu LS, Liu ZQ, Zhou CW, Deng MF, Zhang WT, Zhang JC, Yang CQ, Hu YZ, Han ZT, Zhang HH, Jia JJ, Wang J, Liu FF, Li K, Xu Q, Yuan M, Man H, Guo Z, Lu Y, Shu K, Zhu LQ, Liu D. Senktide blocks aberrant RTN3 interactome to retard memory decline and tau pathology in social isolated Alzheimer's disease mice. Protein Cell 2024; 15:261-284. [PMID: 38011644 PMCID: PMC10984625 DOI: 10.1093/procel/pwad056] [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: 10/19/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
Sporadic or late-onset Alzheimer's disease (LOAD) accounts for more than 95% of Alzheimer's disease (AD) cases without any family history. Although genome-wide association studies have identified associated risk genes and loci for LOAD, numerous studies suggest that many adverse environmental factors, such as social isolation, are associated with an increased risk of dementia. However, the underlying mechanisms of social isolation in AD progression remain elusive. In the current study, we found that 7 days of social isolation could trigger pattern separation impairments and presynaptic abnormalities of the mossy fibre-CA3 circuit in AD mice. We also revealed that social isolation disrupted histone acetylation and resulted in the downregulation of 2 dentate gyrus (DG)-enriched miRNAs, which simultaneously target reticulon 3 (RTN3), an endoplasmic reticulum protein that aggregates in presynaptic regions to disturb the formation of functional mossy fibre boutons (MFBs) by recruiting multiple mitochondrial and vesicle-related proteins. Interestingly, the aggregation of RTN3 also recruits the PP2A B subunits to suppress PP2A activity and induce tau hyperphosphorylation, which, in turn, further elevates RTN3 and forms a vicious cycle. Finally, using an artificial intelligence-assisted molecular docking approach, we determined that senktide, a selective agonist of neurokinin3 receptors (NK3R), could reduce the binding of RTN3 with its partners. Moreover, application of senktide in vivo effectively restored DG circuit disorders in socially isolated AD mice. Taken together, our findings not only demonstrate the epigenetic regulatory mechanism underlying mossy fibre synaptic disorders orchestrated by social isolation and tau pathology but also reveal a novel potential therapeutic strategy for AD.
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Affiliation(s)
- He-Zhou Huang
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wen-Qing Ai
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Na Wei
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450002, China
- Department of Pathology, School of Basic Medicine, Zhengzhou University, Zhengzhou 450002, China
| | - Ling-Shuang Zhu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhi-Qiang Liu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chao-Wen Zhou
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Man-Fei Deng
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wen-Tao Zhang
- The Second Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - Jia-Chen Zhang
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chun-Qing Yang
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ya-Zhuo Hu
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Institute of Geriatrics, Chinese PLA General Hospital and Chinese PLA Medical Academy, Beijing 100853, China
| | - Zhi-Tao Han
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Institute of Geriatrics, Chinese PLA General Hospital and Chinese PLA Medical Academy, Beijing 100853, China
| | - Hong-Hong Zhang
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Institute of Geriatrics, Chinese PLA General Hospital and Chinese PLA Medical Academy, Beijing 100853, China
| | - Jian-Jun Jia
- Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Institute of Geriatrics, Chinese PLA General Hospital and Chinese PLA Medical Academy, Beijing 100853, China
| | - Jing Wang
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Fang-Fang Liu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ke Li
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qi Xu
- Department of Neurology, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Mei Yuan
- The Second Affiliated Hospital, Department of Neurology, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - Hengye Man
- Department of Biology, Boston University, Boston, MA 02215, USA
| | - Ziyuan Guo
- Center for Stem Cell and Organoid Medicine (CuSTOM), Division of Developmental Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Youming Lu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kai Shu
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ling-Qiang Zhu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Dan Liu
- Department of Medical Genetics, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Wang W, Gao R, Yang D, Ma M, Zang R, Wang X, Chen C, Kou X, Zhao Y, Chen J, Liu X, Lu J, Xu B, Liu J, Huang Y, Chen C, Wang H, Gao S, Zhang Y, Gao Y. ADNP modulates SINE B2-derived CTCF-binding sites during blastocyst formation in mice. Genes Dev 2024; 38:168-188. [PMID: 38479840 PMCID: PMC10982698 DOI: 10.1101/gad.351189.123] [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: 09/18/2023] [Accepted: 02/20/2024] [Indexed: 04/02/2024]
Abstract
CTCF is crucial for chromatin structure and transcription regulation in early embryonic development. However, the kinetics of CTCF chromatin occupation in preimplantation embryos have remained unclear. In this study, we used CUT&RUN technology to investigate CTCF occupancy in mouse preimplantation development. Our findings revealed that CTCF begins binding to the genome prior to zygotic genome activation (ZGA), with a preference for CTCF-anchored chromatin loops. Although the majority of CTCF occupancy is consistently maintained, we identified a specific set of binding sites enriched in the mouse-specific short interspersed element (SINE) family B2 that are restricted to the cleavage stages. Notably, we discovered that the neuroprotective protein ADNP counteracts the stable association of CTCF at SINE B2-derived CTCF-binding sites. Knockout of Adnp in the zygote led to impaired CTCF binding signal recovery, failed deposition of H3K9me3, and transcriptional derepression of SINE B2 during the morula-to-blastocyst transition, which further led to unfaithful cell differentiation in embryos around implantation. Our analysis highlights an ADNP-dependent restriction of CTCF binding during cell differentiation in preimplantation embryos. Furthermore, our findings shed light on the functional importance of transposable elements (TEs) in promoting genetic innovation and actively shaping the early embryo developmental process specific to mammals.
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Affiliation(s)
- Wen Wang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Rui Gao
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Dongxu Yang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Mingli Ma
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Ruge Zang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Xiangxiu Wang
- Key Laboratory of Biorheological and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Modern Life Science Experiment Teaching Center at Bioengineering College of Chongqing University, Chongqing 400030, China
| | - Chuan Chen
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Xiaochen Kou
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Yanhong Zhao
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Jiayu Chen
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Xuelian Liu
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiaxu Lu
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Ben Xu
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Juntao Liu
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Yanxin Huang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Chaoqun Chen
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Hong Wang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Shaorong Gao
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China;
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Yong Zhang
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China;
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Yawei Gao
- State Key Laboratory of Cardiology and Medical Innovation Center, Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China;
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
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Li J, Liang Y, Zhou S, Chen J, Wu C. UCHL1 contributes to insensitivity to endocrine therapy in triple-negative breast cancer by deubiquitinating and stabilizing KLF5. Breast Cancer Res 2024; 26:44. [PMID: 38468288 DOI: 10.1186/s13058-024-01800-1] [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: 10/17/2023] [Accepted: 02/28/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Ubiquitin carboxyl-terminal hydrolase L1 (UCHL1) is a deubiquitinating enzyme that regulates ERα expression in triple-negative cancer (TNBC). This study aimed to explore the deubiquitination substrates of UCHL1 related to endocrine therapeutic responses and the mechanisms of UCHL1 dysregulation in TNBC. METHODS Bioinformatics analysis was conducted using online open databases. TNBC representative MDA-MB-468 and SUM149 cells were used for in vitro and in-vivo studies. Co-immunoprecipitation was used to explore the interaction between UCHL1 and KLF5 and UCHL1-mediated KIF5 deubiquitination. CCK-8, colony formation and animal studies were performed to assess endocrine therapy responses. The regulatory effect of TET1/3 on UCHL1 promoter methylation and transcription was performed by Bisulfite sequencing PCR and ChIP-qPCR. RESULTS UCHL1 interacts with KLF5 and stabilizes KLF5 by reducing its polyubiquitination and proteasomal degradation. The UCHL1-KLF5 axis collaboratively upregulates EGFR expression while downregulating ESR1 expression at both mRNA and protein levels in TNBC. UCHL1 knockdown slows the proliferation of TNBC cells and sensitizes the tumor cells to Tamoxifen and Fulvestrant. KLF5 overexpression partially reverses these trends. Both TET1 and TET3 can bind to the UCHL1 promoter region, reducing methylation of associated CpG sites and enhancing UCHL1 transcription in TNBC cell lines. Additionally, TET1 and TET3 elevates KLF5 protein level in a UCHL1-dependent manner. CONCLUSION UCHL1 plays a pivotal role in TNBC by deubiquitinating and stabilizing KLF5, contributing to endocrine therapy resistance. TET1 and TET3 promote UCHL1 transcription through promoter demethylation and maintain KLF5 protein level in a UCHL1-dependent manner, implying their potential as therapeutic targets in TNBC.
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Affiliation(s)
- Juan Li
- Department of Breast Surgery, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yu Liang
- Department of Health Management & Institute of Health Management, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Shijie Zhou
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Jie Chen
- Department of Breast Surgery, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
| | - Chihua Wu
- Department of Breast Surgery, School of Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
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Malta TM, Sabedot TS, Morosini NS, Datta I, Garofano L, Vallentgoed W, Varn FS, Aldape K, D'Angelo F, Bakas S, Barnholtz-Sloan JS, Gan HK, Hasanain M, Hau AC, Johnson KC, Cazacu S, deCarvalho AC, Khasraw M, Kocakavuk E, Kouwenhoven MC, Migliozzi S, Niclou SP, Niers JM, Ormond DR, Paek SH, Reifenberger G, Sillevis Smitt PA, Smits M, Stead LF, van den Bent MJ, Van Meir EG, Walenkamp A, Weiss T, Weller M, Westerman BA, Ylstra B, Wesseling P, Lasorella A, French PJ, Poisson LM, Verhaak RG, Iavarone A, Noushmehr H. The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen. Cancer Res 2024; 84:741-756. [PMID: 38117484 PMCID: PMC10911804 DOI: 10.1158/0008-5472.can-23-2093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/15/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
Tumor adaptation or selection is thought to underlie therapy resistance in glioma. To investigate longitudinal epigenetic evolution of gliomas in response to therapeutic pressure, we performed an epigenomic analysis of 132 matched initial and recurrent tumors from patients with IDH-wildtype (IDHwt) and IDH-mutant (IDHmut) glioma. IDHwt gliomas showed a stable epigenome over time with relatively low levels of global methylation. The epigenome of IDHmut gliomas showed initial high levels of genome-wide DNA methylation that was progressively reduced to levels similar to those of IDHwt tumors. Integration of epigenomics, gene expression, and functional genomics identified HOXD13 as a master regulator of IDHmut astrocytoma evolution. Furthermore, relapse of IDHmut tumors was accompanied by histologic progression that was associated with survival, as validated in an independent cohort. Finally, the initial cell composition of the tumor microenvironment varied between IDHwt and IDHmut tumors and changed differentially following treatment, suggesting increased neoangiogenesis and T-cell infiltration upon treatment of IDHmut gliomas. This study provides one of the largest cohorts of paired longitudinal glioma samples with epigenomic, transcriptomic, and genomic profiling and suggests that treatment of IDHmut glioma is associated with epigenomic evolution toward an IDHwt-like phenotype. SIGNIFICANCE Standard treatments are related to loss of DNA methylation in IDHmut glioma, resulting in epigenetic activation of genes associated with tumor progression and alterations in the microenvironment that resemble treatment-naïve IDHwt glioma.
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Affiliation(s)
- Tathiane M. Malta
- School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Thais S. Sabedot
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | | | - Indrani Datta
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Luciano Garofano
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | - Wies Vallentgoed
- Neurology Department, The Brain Tumour Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Frederick S. Varn
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut
| | | | - Fulvio D'Angelo
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida
| | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Hui K. Gan
- Olivia Newton-John Cancer Research Institute, Austin Health, Heidelberg, Melbourne, Australia
| | - Mohammad Hasanain
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | | | - Kevin C. Johnson
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
| | - Simona Cazacu
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Ana C. deCarvalho
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | | | - Emre Kocakavuk
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
- Department of Hematology and Stem Cell Transplantation, West German Cancer Center (WTZ), National Center for Tumor Diseases (NCT) West, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Mathilde C.M. Kouwenhoven
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Simona Migliozzi
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | | | - Johanna M. Niers
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - D. Ryan Ormond
- University of Colorado School of Medicine, Department of Neurosurgery, Aurora, Colorado
| | - Sun Ha Paek
- Department of Neurosurgery, Cancer Research Institute, Hypoxia Ischemia Disease Institute, Seoul National University, Seoul, Republic of Korea (South)
| | - Guido Reifenberger
- Institute of Neuropathology, Heinrich Heine University, Dusseldorf, Germany
| | - Peter A. Sillevis Smitt
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- The Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Lucy F. Stead
- Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom
| | - Martin J. van den Bent
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- The Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Erwin G. Van Meir
- Department of Neurosurgery and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama
| | | | - Tobias Weiss
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Bart A. Westerman
- Department of Neurology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Bauke Ylstra
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pieter Wesseling
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Brain Tumor Center Amsterdam, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands
- Laboratory for Childhood Cancer Pathology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Anna Lasorella
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, Florida
| | - Pim J. French
- Neurology Department, The Brain Tumour Center, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Laila M. Poisson
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
| | - Roel G.W. Verhaak
- Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut
- Department of Neurosurgery, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Antonio Iavarone
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida
| | - Houtan Noushmehr
- Hermelin Brain Tumor Center, Henry Ford Health System, Detroit, Michigan
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48
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Peng G, Liu B, Zheng M, Zhang L, Li H, Liu M, Liang Y, Chen T, Luo X, Shi X, Ren J, Zheng Y. TSCRE: a comprehensive database for tumor-specific cis-regulatory elements. NAR Cancer 2024; 6:zcad063. [PMID: 38213995 PMCID: PMC10782923 DOI: 10.1093/narcan/zcad063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/18/2023] [Accepted: 12/31/2023] [Indexed: 01/13/2024] Open
Abstract
Cis-regulatory elements (CREs) and super cis-regulatory elements (SCREs) are non-coding DNA regions which influence the transcription of nearby genes and play critical roles in development. Dysregulated CRE and SCRE activities have been reported to alter the expression of oncogenes and tumor suppressors, thereby regulating cancer hallmarks. To address the strong need for a comprehensive catalogue of dysregulated CREs and SCREs in human cancers, we present TSCRE (http://tscre.zsqylab.com/), an open resource providing tumor-specific and cell type-specific CREs and SCREs derived from the re-analysis of publicly available histone modification profiles. Currently, TSCRE contains 1 864 941 dysregulated CREs and 68 253 dysregulated SCREs identified from 1366 human patient samples spanning 17 different cancer types and 9 histone marks. Over 95% of these elements have been validated in public resources. TSCRE offers comprehensive annotations for each element, including associated genes, expression patterns, clinical prognosis, somatic mutations, transcript factor binding sites, cancer-type specificity, and drug response. Additionally, TSCRE integrates pathway and transcript factor enrichment analyses for each study, enabling in-depth functional and mechanistic investigations. Furthermore, TSCRE provides an interactive interface for users to explore any CRE and SCRE of interest. We believe TSCRE will be a highly valuable platform for the community to discover candidate cancer biomarkers.
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Affiliation(s)
- Guanjie Peng
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, Affiliated Cancer Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 510120, China
| | - Bingyuan Liu
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, Affiliated Cancer Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 510120, China
| | - Mohan Zheng
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Luowanyue Zhang
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Huiqin Li
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Mengni Liu
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
| | - Yuan Liang
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
| | - Tianjian Chen
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Xiaotong Luo
- Guangdong Institute of Gastroenterology, Department of General Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510060, China
| | - Xianping Shi
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, Affiliated Cancer Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 510120, China
| | - Jian Ren
- State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou 510060, China
| | - Yueyuan Zheng
- Clinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, P.R. China
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49
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Li Y, Han M, Wei H, Huang W, Chen Z, Zhang T, Qian M, Jing L, Nan G, Sun X, Dai S, Wang K, Jiang J, Zhu P, Chen L. Id2 epigenetically controls CD8 + T-cell exhaustion by disrupting the assembly of the Tcf3-LSD1 complex. Cell Mol Immunol 2024; 21:292-308. [PMID: 38287103 PMCID: PMC10902300 DOI: 10.1038/s41423-023-01118-6] [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: 07/31/2022] [Accepted: 12/01/2023] [Indexed: 01/31/2024] Open
Abstract
CD8+ T-cell exhaustion is a state of dysfunction that promotes tumor progression and is marked by the generation of Slamf6+ progenitor exhausted (Texprog) and Tim-3+ terminally exhausted (Texterm) subpopulations. Inhibitor of DNA binding protein 2 (Id2) has been shown to play important roles in T-cell development and CD8+ T-cell immunity. However, the role of Id2 in CD8+ T-cell exhaustion is unclear. Here, we found that Id2 transcriptionally and epigenetically regulates the generation of Texprog cells and their conversion to Texterm cells. Genetic deletion of Id2 dampens CD8+ T-cell-mediated immune responses and the maintenance of stem-like CD8+ T-cell subpopulations, suppresses PD-1 blockade and increases tumor susceptibility. Mechanistically, through its HLH domain, Id2 binds and disrupts the assembly of the Tcf3-Tal1 transcriptional regulatory complex, and thus modulates chromatin accessibility at the Slamf6 promoter by preventing the interaction of Tcf3 with the histone lysine demethylase LSD1. Therefore, Id2 increases the abundance of the permissive H3K4me2 mark on the Tcf3-occupied E-boxes in the Slamf6 promoter, modulates chromatin accessibility at the Slamf6 promoter and epigenetically regulates the generation of Slamf6+ Texprog cells. An LSD1 inhibitor GSK2879552 can rescue the Id2 knockout phenotype in tumor-bearing mice. Inhibition of LSD1 increases the abundance of Slamf6+Tim-3- Texprog cells in tumors and the expression level of Tcf1 in Id2-deleted CD8+ T cells. This study demonstrates that Id2-mediated transcriptional and epigenetic modification drives hierarchical CD8+ T-cell exhaustion, and the mechanistic insights gained may have implications for therapeutic intervention with tumor immune evasion.
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Affiliation(s)
- Yiming Li
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Mingwei Han
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Haolin Wei
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Wan Huang
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Zhinan Chen
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Tianjiao Zhang
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Meirui Qian
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Lin Jing
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Gang Nan
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Xiuxuan Sun
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Shuhui Dai
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Kun Wang
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China
| | - Jianli Jiang
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China.
| | - Ping Zhu
- Department of Cell Biology of National Translational Science Center for Molecular Medicine and Department of Clinical Immunology of Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China.
| | - Liang Chen
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Ganzhou, Jiangxi, 341000, Xi'an, Shaanxi, 710032, China.
- School of Medicine, Shanghai University, Shanghai, 200444, China.
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50
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Liu S, Luo H, Zhang P, Li Y, Hao D, Zhang S, Song T, Xu T, He S. Adaptive Selection of Cis-regulatory Elements in the Han Chinese. Mol Biol Evol 2024; 41:msae034. [PMID: 38377343 PMCID: PMC10917166 DOI: 10.1093/molbev/msae034] [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: 10/02/2023] [Revised: 01/18/2024] [Accepted: 02/05/2024] [Indexed: 02/22/2024] Open
Abstract
Cis-regulatory elements have an important role in human adaptation to the living environment. However, the lag in population genomic cohort studies and epigenomic studies, hinders the research in the adaptive analysis of cis-regulatory elements in human populations. In this study, we collected 4,013 unrelated individuals and performed a comprehensive analysis of adaptive selection of genome-wide cis-regulatory elements in the Han Chinese. In total, 12.34% of genomic regions are under the influence of adaptive selection, where 1.00% of enhancers and 2.06% of promoters are under positive selection, and 0.06% of enhancers and 0.02% of promoters are under balancing selection. Gene ontology enrichment analysis of these cis-regulatory elements under adaptive selection reveals that many positive selections in the Han Chinese occur in pathways involved in cell-cell adhesion processes, and many balancing selections are related to immune processes. Two classes of adaptive cis-regulatory elements related to cell adhesion were in-depth analyzed, one is the adaptive enhancers derived from neanderthal introgression, leads to lower hyaluronidase level in skin, and brings better performance on UV-radiation resistance to the Han Chinese. Another one is the cis-regulatory elements regulating wound healing, and the results suggest the positive selection inhibits coagulation and promotes angiogenesis and wound healing in the Han Chinese. Finally, we found that many pathogenic alleles, such as risky alleles of type 2 diabetes or schizophrenia, remain in the population due to the hitchhiking effect of positive selections. Our findings will help deepen our understanding of the adaptive evolution of genome regulation in the Han Chinese.
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Affiliation(s)
- Shuai Liu
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huaxia Luo
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Peng Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanyan Li
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Di Hao
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Sijia Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingrui Song
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Tao Xu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China
| | - Shunmin He
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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