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Zhang Y, Chen K, Tang SC, Cai Y, Nambu A, See YX, Fu C, Raju A, Lebeau B, Ling Z, Chan JJ, Tay Y, Mutwil M, Lakshmanan M, Tucker-Kellogg G, Chng WJ, Tenen DG, Osato M, Tergaonkar V, Fullwood MJ. Super-silencer perturbation by EZH2 and REST inhibition leads to large loss of chromatin interactions and reduction in cancer growth. Nat Struct Mol Biol 2024:10.1038/s41594-024-01391-7. [PMID: 39304765 DOI: 10.1038/s41594-024-01391-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 06/28/2024] [Indexed: 09/22/2024]
Abstract
Human silencers have been shown to regulate developmental gene expression. However, the functional importance of human silencers needs to be elucidated, such as whether they can form 'super-silencers' and whether they are linked to cancer progression. Here, we show two silencer components of the FGF18 gene can cooperate through compensatory chromatin interactions to form a super-silencer. Double knockout of two silencers exhibited synergistic upregulation of FGF18 expression and changes in cell identity. To perturb the super-silencers, we applied combinational treatment of an enhancer of zeste homolog 2 inhibitor GSK343, and a repressor element 1-silencing transcription factor inhibitor, X5050 ('GR'). Interestingly, GR led to severe loss of topologically associated domains and loops, which were associated with reduced CTCF and TOP2A mRNA levels. Moreover, GR synergistically upregulated super-silencer-controlled genes related to cell cycle, apoptosis and DNA damage, leading to anticancer effects in vivo. Overall, our data demonstrated a super-silencer example and showed that GR can disrupt super-silencers, potentially leading to cancer ablation.
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Affiliation(s)
- Ying Zhang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kaijing Chen
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Seng Chuan Tang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Yichao Cai
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Akiko Nambu
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Yi Xiang See
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Chaoyu Fu
- Mechanobiology Institute, National University of Singapore, Singapore, Singapore
| | - Anandhkumar Raju
- Laboratory of NF-κB Signalling, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Benjamin Lebeau
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Zixun Ling
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Jia Jia Chan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Yvonne Tay
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Marek Mutwil
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Manikandan Lakshmanan
- Laboratory of NF-κB Signalling, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Greg Tucker-Kellogg
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- Computational Biology Programme, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Wee Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research (N2CR), Centre for Translational Medicine, Singapore, Singapore
- Department of Hematology-Oncology, National University Cancer Institute of Singapore (NCIS), National University Health System (NUHS), Singapore, Singapore
| | - Daniel G Tenen
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Harvard Stem Cells Institute, Harvard Medical School, Boston, MA, USA
| | - Motomi Osato
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Vinay Tergaonkar
- Laboratory of NF-κB Signalling, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Melissa Jane Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
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2
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Zhang J, Hu G, Lu Y, Ren H, Huang Y, Wen Y, Ji B, Wang D, Wang H, Liu H, Ma N, Zhang L, Pan G, Qu Y, Wang H, Zhang W, Miao Z, Yao H. CTCF mutation at R567 causes developmental disorders via 3D genome rearrangement and abnormal neurodevelopment. Nat Commun 2024; 15:5524. [PMID: 38951485 PMCID: PMC11217373 DOI: 10.1038/s41467-024-49684-1] [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: 05/12/2023] [Accepted: 06/14/2024] [Indexed: 07/03/2024] Open
Abstract
The three-dimensional genome structure organized by CTCF is required for development. Clinically identified mutations in CTCF have been linked to adverse developmental outcomes. Nevertheless, the underlying mechanism remains elusive. In this investigation, we explore the regulatory roles of a clinically relevant R567W point mutation, located within the 11th zinc finger of CTCF, by introducing this mutation into both murine models and human embryonic stem cell-derived cortical organoid models. Mice with homozygous CTCFR567W mutation exhibit growth impediments, resulting in postnatal mortality, and deviations in brain, heart, and lung development at the pathological and single-cell transcriptome levels. This mutation induces premature stem-like cell exhaustion, accelerates the maturation of GABAergic neurons, and disrupts neurodevelopmental and synaptic pathways. Additionally, it specifically hinders CTCF binding to peripheral motifs upstream to the core consensus site, causing alterations in local chromatin structure and gene expression, particularly at the clustered protocadherin locus. Comparative analysis using human cortical organoids mirrors the consequences induced by this mutation. In summary, this study elucidates the influence of the CTCFR567W mutation on human neurodevelopmental disorders, paving the way for potential therapeutic interventions.
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Affiliation(s)
- Jie Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Gongcheng Hu
- Department of Basic Research, Guangzhou National Laboratory, Guangzhou, China
| | - Yuli Lu
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Huawei Ren
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Yin Huang
- Department of Basic Research, Guangzhou National Laboratory, Guangzhou, China
| | - Yulin Wen
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Binrui Ji
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Diyang Wang
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Haidong Wang
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Huisheng Liu
- Department of Basic Research, Guangzhou National Laboratory, Guangzhou, China
| | - Ning Ma
- Department of Basic Research, Guangzhou National Laboratory, Guangzhou, China
| | - Lingling Zhang
- Institute of Clinical Pharmacology, Key Laboratory of Anti-Inflammatory and Immune Medicine (Ministry of Education), Anhui Medical University, Hefei, China
| | - Guangjin Pan
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yibo Qu
- Key Laboratory of CNS Regeneration (Ministry of Education), Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Hua Wang
- Institute of Clinical Pharmacology, Key Laboratory of Anti-Inflammatory and Immune Medicine (Ministry of Education), Anhui Medical University, Hefei, China
| | - Wei Zhang
- Department of Basic Research, Guangzhou National Laboratory, Guangzhou, China
| | - Zhichao Miao
- Department of Basic Research, Guangzhou National Laboratory, Guangzhou, China
| | - Hongjie Yao
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
- Department of Basic Research, Guangzhou National Laboratory, Guangzhou, China.
- University of Chinese Academy of Sciences, Beijing, China.
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3
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Chakraborty S, Sharma G, Karmakar S, Banerjee S. Multi-OMICS approaches in cancer biology: New era in cancer therapy. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167120. [PMID: 38484941 DOI: 10.1016/j.bbadis.2024.167120] [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: 01/16/2024] [Revised: 03/06/2024] [Accepted: 03/06/2024] [Indexed: 04/01/2024]
Abstract
Innovative multi-omics frameworks integrate diverse datasets from the same patients to enhance our understanding of the molecular and clinical aspects of cancers. Advanced omics and multi-view clustering algorithms present unprecedented opportunities for classifying cancers into subtypes, refining survival predictions and treatment outcomes, and unravelling key pathophysiological processes across various molecular layers. However, with the increasing availability of cost-effective high-throughput technologies (HTT) that generate vast amounts of data, analyzing single layers often falls short of establishing causal relations. Integrating multi-omics data spanning genomes, epigenomes, transcriptomes, proteomes, metabolomes, and microbiomes offers unique prospects to comprehend the underlying biology of complex diseases like cancer. This discussion explores algorithmic frameworks designed to uncover cancer subtypes, disease mechanisms, and methods for identifying pivotal genomic alterations. It also underscores the significance of multi-omics in tumor classifications, diagnostics, and prognostications. Despite its unparalleled advantages, the integration of multi-omics data has been slow to find its way into everyday clinics. A major hurdle is the uneven maturity of different omics approaches and the widening gap between the generation of large datasets and the capacity to process this data. Initiatives promoting the standardization of sample processing and analytical pipelines, as well as multidisciplinary training for experts in data analysis and interpretation, are crucial for translating theoretical findings into practical applications.
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Affiliation(s)
- Sohini Chakraborty
- Department of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Gaurav Sharma
- Department of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Sricheta Karmakar
- Department of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Satarupa Banerjee
- Department of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
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4
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Guo R, Dong X, Chen F, Ji T, He Q, Zhang J, Sheng Y, Liu Y, Yang S, Liang W, Song Y, Fang K, Zhang L, Hu G, Yao H. TEAD2 initiates ground-state pluripotency by mediating chromatin looping. EMBO J 2024; 43:1965-1989. [PMID: 38605224 PMCID: PMC11099042 DOI: 10.1038/s44318-024-00086-5] [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: 06/25/2023] [Revised: 02/26/2024] [Accepted: 03/03/2024] [Indexed: 04/13/2024] Open
Abstract
The transition of mouse embryonic stem cells (ESCs) between serum/LIF and 2i(MEK and GSK3 kinase inhibitor)/LIF culture conditions serves as a valuable model for exploring the mechanisms underlying ground and confused pluripotent states. Regulatory networks comprising core and ancillary pluripotency factors drive the gene expression programs defining stable naïve pluripotency. In our study, we systematically screened factors essential for ESC pluripotency, identifying TEAD2 as an ancillary factor maintaining ground-state pluripotency in 2i/LIF ESCs and facilitating the transition from serum/LIF to 2i/LIF ESCs. TEAD2 exhibits increased binding to chromatin in 2i/LIF ESCs, targeting active chromatin regions to regulate the expression of 2i-specific genes. In addition, TEAD2 facilitates the expression of 2i-specific genes by mediating enhancer-promoter interactions during the serum/LIF to 2i/LIF transition. Notably, deletion of Tead2 results in reduction of a specific set of enhancer-promoter interactions without significantly affecting binding of chromatin architecture proteins, CCCTC-binding factor (CTCF), and Yin Yang 1 (YY1). In summary, our findings highlight a novel prominent role of TEAD2 in orchestrating higher-order chromatin structures of 2i-specific genes to sustain ground-state pluripotency.
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Affiliation(s)
- Rong Guo
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xiaotao Dong
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- School of Basic Medical Science, Henan University, Kaifeng, China
| | - Feng Chen
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
| | - Tianrong Ji
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Qiannan He
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jie Zhang
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yingliang Sheng
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Yanjiang Liu
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shengxiong Yang
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Weifang Liang
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Yawei Song
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ke Fang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Lingling Zhang
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China
| | - Gongcheng Hu
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Hongjie Yao
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China.
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
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5
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Li X, Zeng S, Chen L, Zhang Y, Li X, Zhang B, Su D, Du Q, Zhang J, Wang H, Zhong Z, Zhang J, Li P, Jiang A, Long K, Li M, Ge L. An intronic enhancer of Cebpa regulates adipocyte differentiation and adipose tissue development via long-range loop formation. Cell Prolif 2024; 57:e13552. [PMID: 37905345 PMCID: PMC10905358 DOI: 10.1111/cpr.13552] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/29/2023] [Accepted: 09/11/2023] [Indexed: 11/02/2023] Open
Abstract
Cebpa is a master transcription factor gene for adipogenesis. However, the mechanisms of enhancer-promoter chromatin interactions controlling Cebpa transcriptional regulation during adipogenic differentiation remain largely unknown. To reveal how the three-dimensional structure of Cebpa changes during adipogenesis, we generated high-resolution chromatin interactions of Cebpa in 3T3-L1 preadipocytes and 3T3-L1 adipocytes using circularized chromosome conformation capture sequencing (4C-seq). We revealed dramatic changes in chromatin interactions and chromatin status at interaction sites during adipogenic differentiation. Based on this, we identified five active enhancers of Cebpa in 3T3-L1 adipocytes through epigenomic data and luciferase reporter assays. Next, epigenetic repression of Cebpa-L1-AD-En2 or -En3 by the dCas9-KRAB system significantly down-regulated Cebpa expression and inhibited adipocyte differentiation. Furthermore, experimental depletion of cohesin decreased the interaction intensity between Cebpa-L1-AD-En2 and the Cebpa promoter and down-regulated Cebpa expression, indicating that long-range chromatin loop formation was mediated by cohesin. Two transcription factors, RXRA and PPARG, synergistically regulate the activity of Cebpa-L1-AD-En2. To test whether Cebpa-L1-AD-En2 plays a role in adipose tissue development, we injected dCas9-KRAB-En2 lentivirus into the inguinal white adipose tissue (iWAT) of mice to suppress the activity of Cebpa-L1-AD-En2. Repression of Cebpa-L1-AD-En2 significantly decreased Cebpa expression and adipocyte size, altered iWAT transcriptome, and affected iWAT development. We identified functional enhancers regulating Cebpa expression and clarified the crucial roles of Cebpa-L1-AD-En2 and Cebpa promoter interaction in adipocyte differentiation and adipose tissue development.
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Affiliation(s)
- Xiaokai Li
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Sha Zeng
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Li Chen
- Chongqing Academy of Animal SciencesChongqingChina
- National Center of Technology Innovation for PigsChongqingChina
- Key Laboratory of Pig Industry ScienceMinistry of AgricultureChongqingChina
| | - Yu Zhang
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Xuemin Li
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Biwei Zhang
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Duo Su
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Qinjiao Du
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Jiaman Zhang
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Haoming Wang
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Zhining Zhong
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Jinwei Zhang
- Chongqing Academy of Animal SciencesChongqingChina
- National Center of Technology Innovation for PigsChongqingChina
- Key Laboratory of Pig Industry ScienceMinistry of AgricultureChongqingChina
| | - Penghao Li
- Jinxin Research Institute for Reproductive Medicine and GeneticsSichuan Jinxin Xi'nan Women's and Children's HospitalChengduChina
| | - Anan Jiang
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Keren Long
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
- Chongqing Academy of Animal SciencesChongqingChina
| | - Mingzhou Li
- State Key Laboratory of Swine and Poultry Breeding IndustrySichuan Agricultural UniversityChengduChina
- Livestock and Poultry Multi‐omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and TechnologySichuan Agricultural UniversityChengduChina
| | - Liangpeng Ge
- Chongqing Academy of Animal SciencesChongqingChina
- National Center of Technology Innovation for PigsChongqingChina
- Key Laboratory of Pig Industry ScienceMinistry of AgricultureChongqingChina
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6
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Zhang M, Huang H, Li J, Wu Q. ZNF143 deletion alters enhancer/promoter looping and CTCF/cohesin geometry. Cell Rep 2024; 43:113663. [PMID: 38206813 DOI: 10.1016/j.celrep.2023.113663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/28/2023] [Accepted: 12/22/2023] [Indexed: 01/13/2024] Open
Abstract
The transcription factor ZNF143 contains a central domain of seven zinc fingers in a tandem array and is involved in 3D genome construction. However, the mechanism by which ZNF143 functions in chromatin looping remains unclear. Here, we show that ZNF143 directionally recognizes a diverse range of genomic sites directly within enhancers and promoters and is required for chromatin looping between these sites. In addition, ZNF143 is located between CTCF and cohesin at numerous CTCF sites, and ZNF143 removal narrows the space between CTCF and cohesin. Moreover, genetic deletion of ZNF143, in conjunction with acute CTCF degradation, reveals that ZNF143 and CTCF collaborate to regulate higher-order topological chromatin organization. Finally, CTCF depletion enlarges direct ZNF143 chromatin looping. Thus, ZNF143 is recruited by CTCF to the CTCF sites to regulate CTCF/cohesin configuration and TAD (topologically associating domain) formation, whereas directional recognition of genomic DNA motifs directly by ZNF143 itself regulates promoter activity via chromatin looping.
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Affiliation(s)
- Mo Zhang
- Center for Comparative Biomedicine, Ministry of Education Key Laboratory of Systems Biomedicine, State Key Laboratory of Medical Genomics, Institute of Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China; WLA Laboratories, Shanghai 201203, China
| | - Haiyan Huang
- Center for Comparative Biomedicine, Ministry of Education Key Laboratory of Systems Biomedicine, State Key Laboratory of Medical Genomics, Institute of Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China; WLA Laboratories, Shanghai 201203, China
| | - Jingwei Li
- Center for Comparative Biomedicine, Ministry of Education Key Laboratory of Systems Biomedicine, State Key Laboratory of Medical Genomics, Institute of Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China; WLA Laboratories, Shanghai 201203, China
| | - Qiang Wu
- Center for Comparative Biomedicine, Ministry of Education Key Laboratory of Systems Biomedicine, State Key Laboratory of Medical Genomics, Institute of Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China; WLA Laboratories, Shanghai 201203, China.
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7
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Wilderman A, D'haene E, Baetens M, Yankee TN, Winchester EW, Glidden N, Roets E, Van Dorpe J, Janssens S, Miller DE, Galey M, Brown KM, Stottmann RW, Vergult S, Weaver KN, Brugmann SA, Cox TC, Cotney J. A distant global control region is essential for normal expression of anterior HOXA genes during mouse and human craniofacial development. Nat Commun 2024; 15:136. [PMID: 38167838 PMCID: PMC10762089 DOI: 10.1038/s41467-023-44506-2] [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: 03/24/2022] [Accepted: 12/14/2023] [Indexed: 01/05/2024] Open
Abstract
Craniofacial abnormalities account for approximately one third of birth defects. The regulatory programs that build the face require precisely controlled spatiotemporal gene expression, achieved through tissue-specific enhancers. Clusters of coactivated enhancers and their target genes, known as superenhancers, are important in determining cell identity but have been largely unexplored in development. In this study we identified superenhancer regions unique to human embryonic craniofacial tissue. To demonstrate the importance of such regions in craniofacial development and disease, we focused on an ~600 kb noncoding region located between NPVF and NFE2L3. We identified long range interactions with this region in both human and mouse embryonic craniofacial tissue with the anterior portion of the HOXA gene cluster. Mice lacking this superenhancer exhibit perinatal lethality, and present with highly penetrant skull defects and orofacial clefts phenocopying Hoxa2-/- mice. Moreover, we identified two cases of de novo copy number changes of the superenhancer in humans both with severe craniofacial abnormalities. This evidence suggests we have identified a critical noncoding locus control region that specifically regulates anterior HOXA genes and copy number changes are pathogenic in human patients.
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Affiliation(s)
| | - Eva D'haene
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Machteld Baetens
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | | | - Emma Wentworth Winchester
- Graduate Program UConn Health, Farmington, CT, USA
- University of Connecticut School of Dental Medicine, Farmington, CT, USA
| | - Nicole Glidden
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Ellen Roets
- Department of Obstetrics, Women's Clinic, Ghent University Hospital, Ghent, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Sandra Janssens
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Danny E Miller
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Washington, WA, USA
- Seattle Children's Hospital, Seattle, WA, 98195, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195, USA
- Brotman Baty Institute of Precision Medicine, University of Washington, Seattle, WA, 98195, USA
| | - Miranda Galey
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Washington, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195, USA
| | - Kari M Brown
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Rolf W Stottmann
- Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University School of Medicine, Columbus, OH, USA
| | - Sarah Vergult
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - K Nicole Weaver
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Samantha A Brugmann
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Timothy C Cox
- Department of Oral & Craniofacial Sciences, University of Missouri Kansas City, Kansas City, MO, USA
- Department of Pediatrics, University of Missouri Kansas City, Kansas City, MO, USA
| | - Justin Cotney
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA.
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8
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Hamley JC, Li H, Denny N, Downes D, Davies JOJ. Determining chromatin architecture with Micro Capture-C. Nat Protoc 2023; 18:1687-1711. [PMID: 36991220 DOI: 10.1038/s41596-023-00817-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 01/11/2023] [Indexed: 03/30/2023]
Abstract
Micro Capture-C (MCC) is a chromatin conformation capture (3C) method for visualizing reproducible three-dimensional contacts of specified regions of the genome at base pair resolution. These methods are an established family of techniques that use proximity ligation to assay the topology of chromatin. MCC can generate data at substantially higher resolution than previous techniques through multiple refinements of the 3C method. Using a sequence agnostic nuclease, the maintenance of cellular integrity and full sequencing of the ligation junctions, MCC achieves subnucleosomal levels of resolution, which can be used to reveal transcription factor binding sites analogous to DNAse I footprinting. Gene dense regions, close-range enhancer-promoter contacts, individual enhancers within super-enhancers and multiple other types of loci or regulatory regions that were previously challenging to assay with conventional 3C techniques, are readily observed using MCC. MCC requires training in common molecular biology techniques and bioinformatics to perform the experiment and analyze the data. The protocol can be expected to be completed in a 3 week timeframe for experienced molecular biologists.
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Affiliation(s)
- Joseph C Hamley
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Hangpeng Li
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Nicholas Denny
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Damien Downes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - James O J Davies
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- Oxford Biomedical Research Centre, Genomic Medicine and Cell and Gene Therapy Themes, Oxford, UK.
- National Institute of Health Research Blood and Transplant Research Unit, Oxford, UK.
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9
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Long K, Li X, Su D, Zeng S, Li H, Zhang Y, Zhang B, Yang W, Li P, Li X, Wang X, Tang Q, Lu L, Jin L, Ma J, Li M. Exploring high-resolution chromatin interaction changes and functional enhancers of myogenic marker genes during myogenic differentiation. J Biol Chem 2022; 298:102149. [PMID: 35787372 PMCID: PMC9352921 DOI: 10.1016/j.jbc.2022.102149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 11/25/2022] Open
Abstract
Skeletal muscle differentiation (myogenesis) is a complex and highly coordinated biological process regulated by a series of myogenic marker genes. Chromatin interactions between gene's promoters and their enhancers have an important role in transcriptional control. However, the high-resolution chromatin interactions of myogenic genes and their functional enhancers during myogenesis remain largely unclear. Here, we used circularized chromosome conformation capture coupled with next generation sequencing (4C-seq) to investigate eight myogenic marker genes in C2C12 myoblasts (C2C12-MBs) and C2C12 myotubes (C2C12-MTs). We revealed dynamic chromatin interactions of these marker genes during differentiation and identified 163 and 314 significant interaction sites (SISs) in C2C12-MBs and C2C12-MTs, respectively. The interacting genes of SISs in C2C12-MTs were mainly involved in muscle development, and histone modifications of the SISs changed during differentiation. Through functional genomic screening, we also identified 25 and 41 putative active enhancers in C2C12-MBs and C2C12-MTs, respectively. Using luciferase reporter assays for putative enhancers of Myog and Myh3, we identified eight activating enhancers. Furthermore, dCas9-KRAB epigenome editing and RNA-Seq revealed a role for Myog enhancers in the regulation of Myog expression and myogenic differentiation in the native genomic context. Taken together, this study lays the groundwork for understanding 3D chromatin interaction changes of myogenic genes during myogenesis and provides insights that contribute to our understanding of the role of enhancers in regulating myogenesis.
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Affiliation(s)
- Keren Long
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xiaokai Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Duo Su
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Sha Zeng
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Hengkuan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yu Zhang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Biwei Zhang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Wenying Yang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Penghao Li
- Jinxin Research Institute for Reproductive Medicine and Genetics, Chengdu Xi'nan Gynecology Hospital Co, Ltd, Chengdu, Sichuan, China
| | - Xuemin Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xun Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Lu Lu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Jideng Ma
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
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10
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Long K, Su D, Li X, Li H, Zeng S, Zhang Y, Zhong Z, Lin Y, Li X, Lu L, Jin L, Ma J, Tang Q, Li M. Identification of enhancers responsible for the coordinated expression of myosin heavy chain isoforms in skeletal muscle. BMC Genomics 2022; 23:519. [PMID: 35842589 PMCID: PMC9288694 DOI: 10.1186/s12864-022-08737-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 07/04/2022] [Indexed: 11/19/2022] Open
Abstract
Background Skeletal muscles consist of fibers of differing contractility and metabolic properties, which are primarily determined by the content of myosin heavy chain (MYH) isoforms (MYH7, MYH2, MYH1, and MYH4). The regulation of Myh genes transcription depends on three-dimensional chromatin conformation interaction, but the mechanistic details remain to be determined. Results In this study, we characterized the interaction profiles of Myh genes using 4C-seq (circular chromosome conformation capture coupled to high-throughput sequencing). The interaction profile of Myh genes changed between fast quadriceps and slow soleus muscles. Combining chromatin immunoprecipitation-sequencing (ChIP-seq) and transposase accessible chromatin with high-throughput sequencing (ATAC-seq), we found that a 38 kb intergenic region interacting simultaneously with fast Myh genes promoters controlled the coordinated expression of fast Myh genes. We also identified four active enhancers of Myh7, and revealed that binding of MYOG and MYOD increased the activity of Myh7 enhancers. Conclusions This study provides new insight into the chromatin interactions that regulate Myh genes expression. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08737-9.
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Affiliation(s)
- Keren Long
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Duo Su
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xiaokai Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Hengkuan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Sha Zeng
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yu Zhang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Zhining Zhong
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yu Lin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xuemin Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Lu Lu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jideng Ma
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
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11
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Vicioso-Mantis M, Fueyo R, Navarro C, Cruz-Molina S, van Ijcken WFJ, Rebollo E, Rada-Iglesias Á, Martínez-Balbás MA. JMJD3 intrinsically disordered region links the 3D-genome structure to TGFβ-dependent transcription activation. Nat Commun 2022; 13:3263. [PMID: 35672304 PMCID: PMC9174158 DOI: 10.1038/s41467-022-30614-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 05/05/2022] [Indexed: 12/13/2022] Open
Abstract
Enhancers are key regulatory elements that govern gene expression programs in response to developmental signals. However, how multiple enhancers arrange in the 3D-space to control the activation of a specific promoter remains unclear. To address this question, we exploited our previously characterized TGFβ-response model, the neural stem cells, focusing on a ~374 kb locus where enhancers abound. Our 4C-seq experiments reveal that the TGFβ pathway drives the assembly of an enhancer-cluster and precise gene activation. We discover that the TGFβ pathway coactivator JMJD3 is essential to maintain these structures. Using live-cell imaging techniques, we demonstrate that an intrinsically disordered region contained in JMJD3 is involved in the formation of phase-separated biomolecular condensates, which are found in the enhancer-cluster. Overall, in this work we uncover novel functions for the coactivator JMJD3, and we shed light on the relationships between the 3D-conformation of the chromatin and the TGFβ-driven response during mammalian neurogenesis. Here the authors demonstrate that TGFβ drives multi-enhancer contacts and ultimately gene activation during neuronal commitment, and that this requires the intrinsically disordered region (IDR) of the histone demethylase JMJD3 likely through its role in promoting phase-separated biomolecular condensates.
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12
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Pavlaki I, Shapiro M, Pisignano G, Jones SME, Telenius J, Muñoz-Descalzo S, Williams RJ, Hughes JR, Vance KW. Chromatin interaction maps identify Wnt responsive cis-regulatory elements coordinating Paupar-Pax6 expression in neuronal cells. PLoS Genet 2022; 18:e1010230. [PMID: 35709096 PMCID: PMC9202886 DOI: 10.1371/journal.pgen.1010230] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 05/02/2022] [Indexed: 11/19/2022] Open
Abstract
Central nervous system-expressed long non-coding RNAs (lncRNAs) are often located in the genome close to protein coding genes involved in transcriptional control. Such lncRNA-protein coding gene pairs are frequently temporally and spatially co-expressed in the nervous system and are predicted to act together to regulate neuronal development and function. Although some of these lncRNAs also bind and modulate the activity of the encoded transcription factors, the regulatory mechanisms controlling co-expression of neighbouring lncRNA-protein coding genes remain unclear. Here, we used high resolution NG Capture-C to map the cis-regulatory interaction landscape of the key neuro-developmental Paupar-Pax6 lncRNA-mRNA locus. The results define chromatin architecture changes associated with high Paupar-Pax6 expression in neurons and identify both promoter selective as well as shared cis-regulatory-promoter interactions involved in regulating Paupar-Pax6 co-expression. We discovered that the TCF7L2 transcription factor, a regulator of chromatin architecture and major effector of the Wnt signalling pathway, binds to a subset of these candidate cis-regulatory elements to coordinate Paupar and Pax6 co-expression. We describe distinct roles for Paupar in Pax6 expression control and show that the Paupar DNA locus contains a TCF7L2 bound transcriptional silencer whilst the Paupar transcript can act as an activator of Pax6. Our work provides important insights into the chromatin interactions, signalling pathways and transcription factors controlling co-expression of adjacent lncRNAs and protein coding genes in the brain.
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Affiliation(s)
- Ioanna Pavlaki
- Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
| | - Michael Shapiro
- Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
- The Francis Crick Institute, London, United Kingdom
| | - Giuseppina Pisignano
- Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
| | | | - Jelena Telenius
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Silvia Muñoz-Descalzo
- Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
- Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Robert J. Williams
- Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
| | - Jim R. Hughes
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Keith W. Vance
- Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom
- * E-mail:
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13
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Deforzh E, Uhlmann EJ, Das E, Galitsyna A, Arora R, Saravanan H, Rabinovsky R, Wirawan AD, Teplyuk NM, El Fatimy R, Perumalla S, Jairam A, Wei Z, Mirny L, Krichevsky AM. Promoter and enhancer RNAs regulate chromatin reorganization and activation of miR-10b/HOXD locus, and neoplastic transformation in glioma. Mol Cell 2022; 82:1894-1908.e5. [PMID: 35390275 PMCID: PMC9271318 DOI: 10.1016/j.molcel.2022.03.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 01/27/2022] [Accepted: 03/10/2022] [Indexed: 01/06/2023]
Abstract
miR-10b is silenced in normal neuroglial cells of the brain but commonly activated in glioma, where it assumes an essential tumor-promoting role. We demonstrate that the entire miR-10b-hosting HOXD locus is activated in glioma via the cis-acting mechanism involving 3D chromatin reorganization and CTCF-cohesin-mediated looping. This mechanism requires two interacting lncRNAs, HOXD-AS2 and LINC01116, one associated with HOXD3/HOXD4/miR-10b promoter and another with the remote enhancer. Knockdown of either lncRNA in glioma cells alters CTCF and cohesin binding, abolishes chromatin looping, inhibits the expression of all genes within HOXD locus, and leads to glioma cell death. Conversely, in cortical astrocytes, enhancer activation is sufficient for HOXD/miR-10b locus reorganization, gene derepression, and neoplastic cell transformation. LINC01116 RNA is essential for this process. Our results demonstrate the interplay of two lncRNAs in the chromatin folding and concordant regulation of miR-10b and multiple HOXD genes normally silenced in astrocytes and triggering the neoplastic glial transformation.
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Affiliation(s)
- Evgeny Deforzh
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Erik J Uhlmann
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Eashita Das
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Aleksandra Galitsyna
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow 143026, Russia
| | - Ramil Arora
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Harini Saravanan
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Rosalia Rabinovsky
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Aditya D Wirawan
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Nadiya M Teplyuk
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Rachid El Fatimy
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Sucika Perumalla
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Anirudh Jairam
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Zhiyun Wei
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Leonid Mirny
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Anna M Krichevsky
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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14
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Teo WW, Cao X, Wu CS, Tan HK, Zhou Q, Gao C, Vanuytsel K, Kumar SS, Murphy GJ, Yang H, Chai L, Tenen DG. Non-coding RNA LEVER sequestration of PRC2 can mediate long range gene regulation. Commun Biol 2022; 5:343. [PMID: 35411071 PMCID: PMC9001699 DOI: 10.1038/s42003-022-03250-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 03/09/2022] [Indexed: 11/20/2022] Open
Abstract
Polycomb Repressive Complex 2 (PRC2) is an epigenetic regulator required for gene silencing during development. Although PRC2 is a well-established RNA-binding complex, the biological function of PRC2-RNA interaction has been controversial. Here, we study the gene-regulatory role of the inhibitory PRC2-RNA interactions. We report a nuclear long non-coding RNA, LEVER, which mapped 236 kb upstream of the β-globin cluster as confirmed by Nanopore sequencing. LEVER RNA interacts with PRC2 in its nascent form, and this prevents the accumulation of the H3K27 repressive histone marks within LEVER locus. Interestingly, the accessible LEVER chromatin, in turn, suppresses the chromatin interactions between the ε-globin locus and β-globin locus control region (LCR), resulting in a repressive effect on ε-globin gene expression. Our findings validate that the nascent RNA-PRC2 interaction inhibits local PRC2 function in situ. More importantly, we demonstrate that such a local process can in turn regulate the expression of neighboring genes. Identification of a long non-coding RNA LEVER, that inhibits the Polycomb Repressive Complex 2 (PRC2) and controls nearby embryonic form of beta-globin gene, provides additional evidence for PRC2-RNA functional interaction.
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Affiliation(s)
- Wei Wen Teo
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Xinang Cao
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chan-Shuo Wu
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Hong Kee Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,National University of Singapore, Graduate School for Integrative Sciences and Engineering, Singapore, Singapore
| | - Qiling Zhou
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Chong Gao
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Kim Vanuytsel
- Section of Hematology and Medical Oncology, School of Medicine, Boston University, Boston, MA, USA.,Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA, USA
| | - Sara S Kumar
- Section of Hematology and Medical Oncology, School of Medicine, Boston University, Boston, MA, USA.,Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA, USA
| | - George J Murphy
- Section of Hematology and Medical Oncology, School of Medicine, Boston University, Boston, MA, USA.,Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA, USA
| | - Henry Yang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Li Chai
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
| | - Daniel G Tenen
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. .,Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA. .,Harvard Initiative for RNA Medicine, Harvard Medical School, Boston, MA, USA.
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15
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See YX, Chen K, Fullwood MJ. MYC overexpression leads to increased chromatin interactions at superenhancers and MYC binding sites. Genome Res 2022; 32:629-642. [PMID: 35115371 PMCID: PMC8997345 DOI: 10.1101/gr.276313.121] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 01/28/2022] [Indexed: 12/02/2022]
Abstract
The MYC oncogene encodes for the MYC protein and is frequently dysregulated across multiple cancer cell types, making it an attractive target for cancer therapy. MYC overexpression leads to MYC binding at active enhancers, resulting in a global transcriptional amplification of active genes. Because super-enhancers are frequently dysregulated in cancer, we hypothesized that MYC preferentially invades into super-enhancers and alters the cancer genome organization. To that end, we performed ChIP-seq, RNA-seq, circular chromosome conformation capture (4C-seq), and Spike-in Quantitative Hi-C (SIQHiC) on the U2OS osteosarcoma cell line with tetracycline-inducible MYC. MYC overexpression in U2OS cells modulated histone acetylation and increased MYC binding at super-enhancers. SIQHiC analysis revealed increased global chromatin contact frequency, particularly at chromatin interactions connecting MYC binding sites at promoters and enhancers. Immunofluorescence staining showed that MYC molecules formed punctate foci at these transcriptionally active domains after MYC overexpression. These results demonstrate the accumulation of overexpressed MYC at promoter–enhancer hubs and suggest that MYC invades into enhancers through spatial proximity. At the same time, the increased protein–protein interactions may strengthen these chromatin interactions to increase chromatin contact frequency. CTCF siRNA knockdown in MYC-overexpressed U2OS cells demonstrated that removal of architectural proteins can disperse MYC and abrogate the increase in chromatin contacts. By elucidating the chromatin landscape of MYC-driven cancers, we can potentially target MYC-associated chromatin interactions for cancer therapy.
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Affiliation(s)
- Yi Xiang See
- Nanyang Technological University, Cancer Science Institute of Singapore, National University of Singapore
| | - Kaijing Chen
- Nanyang Technological University, Cancer Science Institute of Singapore, National University of Singapore
| | - Melissa J Fullwood
- Nanyang Technological University, Cancer Science Institute of Singapore, National University of Singapore, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR)
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16
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Downes DJ, Smith AL, Karpinska MA, Velychko T, Rue-Albrecht K, Sims D, Milne TA, Davies JOJ, Oudelaar AM, Hughes JR. Capture-C: a modular and flexible approach for high-resolution chromosome conformation capture. Nat Protoc 2022; 17:445-475. [PMID: 35121852 PMCID: PMC7613269 DOI: 10.1038/s41596-021-00651-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 10/27/2021] [Indexed: 12/16/2022]
Abstract
Chromosome conformation capture (3C) methods measure the spatial proximity between DNA elements in the cell nucleus. Many methods have been developed to sample 3C material, including the Capture-C family of protocols. Capture-C methods use oligonucleotides to enrich for interactions of interest from sequencing-ready 3C libraries. This approach is modular and has been adapted and optimized to work for sampling of disperse DNA elements (NuTi Capture-C), including from low cell inputs (LI Capture-C), as well as to generate Hi-C like maps for specific regions of interest (Tiled-C) and to interrogate multiway interactions (Tri-C). We present the design, experimental protocol and analysis pipeline for NuTi Capture-C in addition to the variations for generation of LI Capture-C, Tiled-C and Tri-C data. The entire procedure can be performed in 3 weeks and requires standard molecular biology skills and equipment, access to a next-generation sequencing platform, and basic bioinformatic skills. Implemented with other sequencing technologies, these methods can be used to identify regulatory interactions and to compare the structural organization of the genome in different cell types and genetic models.
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Affiliation(s)
- Damien J Downes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Alastair L Smith
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - Taras Velychko
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Kevin Rue-Albrecht
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - David Sims
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Thomas A Milne
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Haematology Theme, Oxford, UK
| | - James O J Davies
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - Jim R Hughes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
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17
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Miranda M, Noordermeer D, Moindrot B. Detection of Allele-Specific 3D Chromatin Interactions Using High-Resolution In-Nucleus 4C-seq. Methods Mol Biol 2022; 2532:15-33. [PMID: 35867243 DOI: 10.1007/978-1-0716-2497-5_2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Chromosome conformation capture techniques are a set of methods used to determine 3D genome organization through the capture and identification of physical contacts between pairs of genomic loci. Among them, 4C-seq (circular chromosome conformation capture coupled to high-throughput sequencing) allows for the identification and quantification of the sequences interacting with a preselected locus of interest. 4C-seq has been widely used in the literature, mainly to study chromatin loops between enhancers and promoters or between CTCF binding sites and to identify chromatin domain boundaries. As 3D-contacts may be established in an allele-specific manner, we describe an up-to-date allele-specific 4C-seq protocol, starting from the selection of allele-specific viewpoints to Illumina sequencing. This protocol has mainly been optimized for cultured mammalian cells, but can be adapted for other cell types with relatively minor changes in initial steps.
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Affiliation(s)
- Mélanie Miranda
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Daan Noordermeer
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.
| | - Benoit Moindrot
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.
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18
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Marsman J, Day RC, Gimenez G. Circular Chromosome Conformation Capture Sequencing (4C-Seq ) in Primary Adherent Cells. Methods Mol Biol 2022; 2458:301-320. [PMID: 35103974 DOI: 10.1007/978-1-0716-2140-0_16] [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] [Indexed: 06/14/2023]
Abstract
The three-dimensional structure of the genome is highly organized and is an important aspect of gene regulation. Chromatin interactions can be identified using chromosome conformation capture-based techniques, which rely on proximity ligation. Of these techniques, circular chromosome conformation capture sequencing (4C-seq) is used to identify all chromatin interactions occurring with a single chromosomal location (one versus all). Here we describe a 4C-seq protocol that has been optimized for primary adherent cells, for which the first digestion step is inefficient using standard 4C-seq protocols. It can, however, also be applied to other cell or tissue types. This protocol utilizes a standard DNA library preparation method using a commercial kit, and includes a description of the data processing steps.
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Affiliation(s)
- Judith Marsman
- Department of Cardiology, Division Heart & Lungs, University Medical Centre Utrecht, Utrecht, The Netherlands.
| | - Robert C Day
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Gregory Gimenez
- Department of Cardiology, Division Heart & Lungs, University Medical Centre Utrecht, Utrecht, The Netherlands
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19
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Cao F, Zhang Y, Cai Y, Animesh S, Zhang Y, Akincilar SC, Loh YP, Li X, Chng WJ, Tergaonkar V, Kwoh CK, Fullwood MJ. Chromatin interaction neural network (ChINN): a machine learning-based method for predicting chromatin interactions from DNA sequences. Genome Biol 2021; 22:226. [PMID: 34399797 PMCID: PMC8365954 DOI: 10.1186/s13059-021-02453-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 08/04/2021] [Indexed: 11/10/2022] Open
Abstract
Chromatin interactions play important roles in regulating gene expression. However, the availability of genome-wide chromatin interaction data is limited. We develop a computational method, chromatin interaction neural network (ChINN), to predict chromatin interactions between open chromatin regions using only DNA sequences. ChINN predicts CTCF- and RNA polymerase II-associated and Hi-C chromatin interactions. ChINN shows good across-sample performances and captures various sequence features for chromatin interaction prediction. We apply ChINN to 6 chronic lymphocytic leukemia (CLL) patient samples and a published cohort of 84 CLL open chromatin samples. Our results demonstrate extensive heterogeneity in chromatin interactions among CLL patient samples.
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Affiliation(s)
- Fan Cao
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Dr, Singapore, 117599 Singapore
| | - Yu Zhang
- School of Computer Science and Engineering, Nanyang Technological University, Block N4, 50 Nanyang Avenue, Singapore, 639798 Singapore
| | - Yichao Cai
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Dr, Singapore, 117599 Singapore
| | - Sambhavi Animesh
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Dr, Singapore, 117599 Singapore
| | - Ying Zhang
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Dr, Singapore, 117599 Singapore
| | - Semih Can Akincilar
- Institute of Molecular and Cell Biology, Agency for Science (IMCB), A*STAR (Agency for Science, Technology and Research,, Singapore, 138673 Singapore
| | - Yan Ping Loh
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Dr, Singapore, 117599 Singapore
| | - Xinya Li
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551 Singapore
| | - Wee Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Dr, Singapore, 117599 Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228 Singapore
- Department of Haematology-Oncology, National University Cancer Institute, National University Health System, NUH Zone B, Medical Centre, Singapore, 119074 Singapore
| | - Vinay Tergaonkar
- Institute of Molecular and Cell Biology, Agency for Science (IMCB), A*STAR (Agency for Science, Technology and Research,, Singapore, 138673 Singapore
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, 117597 Singapore
| | - Chee Keong Kwoh
- School of Computer Science and Engineering, Nanyang Technological University, Block N4, 50 Nanyang Avenue, Singapore, 639798 Singapore
| | - Melissa J. Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Dr, Singapore, 117599 Singapore
- Institute of Molecular and Cell Biology, Agency for Science (IMCB), A*STAR (Agency for Science, Technology and Research,, Singapore, 138673 Singapore
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551 Singapore
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20
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Li LY, Yang Q, Jiang YY, Yang W, Jiang Y, Li X, Hazawa M, Zhou B, Huang GW, Xu XE, Gery S, Zhang Y, Ding LW, Ho AS, Zumsteg ZS, Wang MR, Fullwood MJ, Freedland SJ, Meltzer SJ, Xu LY, Li EM, Koeffler HP, Lin DC. Interplay and cooperation between SREBF1 and master transcription factors regulate lipid metabolism and tumor-promoting pathways in squamous cancer. Nat Commun 2021; 12:4362. [PMID: 34272396 PMCID: PMC8285542 DOI: 10.1038/s41467-021-24656-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 06/29/2021] [Indexed: 02/05/2023] Open
Abstract
Squamous cell carcinomas (SCCs) comprise one of the most common histologic types of human cancer. Transcriptional dysregulation of SCC cells is orchestrated by tumor protein p63 (TP63), a master transcription factor (TF) and a well-researched SCC-specific oncogene. In the present study, both Gene Set Enrichment Analysis (GSEA) of SCC patient samples and in vitro loss-of-function assays establish fatty-acid metabolism as a key pathway downstream of TP63. Further studies identify sterol regulatory element binding transcription factor 1 (SREBF1) as a central mediator linking TP63 with fatty-acid metabolism, which regulates the biosynthesis of fatty-acids, sphingolipids (SL), and glycerophospholipids (GPL), as revealed by liquid chromatography tandem mass spectrometry (LC-MS/MS)-based lipidomics. Moreover, a feedback co-regulatory loop consisting of SREBF1/TP63/Kruppel like factor 5 (KLF5) is identified, which promotes overexpression of all three TFs in SCCs. Downstream of SREBF1, a non-canonical, SCC-specific function is elucidated: SREBF1 cooperates with TP63/KLF5 to regulate hundreds of cis-regulatory elements across the SCC epigenome, which converge on activating cancer-promoting pathways. Indeed, SREBF1 is essential for SCC viability and migration, and its overexpression is associated with poor survival in SCC patients. Taken together, these data shed light on mechanisms of transcriptional dysregulation in cancer, identify specific epigenetic regulators of lipid metabolism, and uncover SREBF1 as a potential therapeutic target and prognostic marker in SCC.
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Affiliation(s)
- Li-Yan Li
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, China.
- Department of Medicine, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | - Qian Yang
- Department of Medicine, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yan-Yi Jiang
- Department of Medicine, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Wei Yang
- Departments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yuan Jiang
- Department of Medicine, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Xiang Li
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, China
| | - Masaharu Hazawa
- Cell-Bionomics Research Unit, Innovative Integrated Bio-Research Core, Institute for Frontier Science Initiative, Kanazawa University, Kanazawa, Japan
| | - Bo Zhou
- Departments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Guo-Wei Huang
- Department of Medicine, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Xiu-E Xu
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, China
| | - Sigal Gery
- Department of Medicine, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ying Zhang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Ling-Wen Ding
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Allen S Ho
- Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Zachary S Zumsteg
- Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ming-Rong Wang
- State Key Laboratory of Molecular Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Melissa J Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Stephen J Freedland
- Division of Urology, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, USA and the Durham VA Medical Center, Durham, NC, USA
| | - Stephen J Meltzer
- Departments of Medicine and Oncology, Johns Hopkins University School of Medicine and Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
| | - Li-Yan Xu
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, China.
| | - En-Min Li
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, China.
| | - H Phillip Koeffler
- Department of Medicine, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - De-Chen Lin
- Department of Medicine, Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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21
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Kyryachenko S, Georges A, Yu M, Barrandou T, Guo L, Bruneval P, Rubio T, Gronwald J, Baraki H, Kutschka I, Aras KK, Efimov IR, Norris RA, Voigt N, Bouatia-Naji N. Chromatin Accessibility of Human Mitral Valves and Functional Assessment of MVP Risk Loci. Circ Res 2021; 128:e84-e101. [PMID: 33508947 PMCID: PMC8316483 DOI: 10.1161/circresaha.120.317581] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
RATIONALE Mitral valve prolapse (MVP) is a common valvopathy that leads to mitral insufficiency, heart failure, and sudden death. Functional genomic studies in mitral valves are needed to better characterize MVP-associated variants and target genes. OBJECTIVE To establish the chromatin accessibility profiles and assess functionality of variants and narrow down target genes at MVP loci. METHODS AND RESULTS We mapped the open chromatin regions in nuclei from 11 human pathogenic and 7 nonpathogenic mitral valves by an assay for transposase-accessible chromatin with high-throughput sequencing. Open chromatin peaks were globally similar between pathogenic and nonpathogenic valves. Compared with the heart tissue and cardiac fibroblasts, we found that MV-specific assay for transposase-accessible chromatin with high-throughput sequencing peaks are enriched near genes involved in extracellular matrix organization, chondrocyte differentiation, and connective tissue development. One of the most enriched motifs in MV-specific open chromatin peaks was for the nuclear factor of activated T cells family of TFs (transcription factors) involved in valve endocardial and interstitial cell formation. We also found that MVP-associated variants were significantly enriched (P<0.05) in mitral valve open chromatin peaks. Integration of the assay for transposase-accessible chromatin with high-throughput sequencing data with risk loci, extensive functional annotation, and gene reporter assay suggest plausible causal variants for rs2641440 at the SMG6/SRR locus and rs6723013 at the IGFBP2/IGFBP5/TNS1 locus. CRISPR-Cas9 deletion of the sequence including rs6723013 in human fibroblasts correlated with increased expression only for TNS1. Circular chromatin conformation capture followed by high-throughput sequencing experiments provided evidence for several target genes, including SRR, HIC1, and DPH1 at the SMG6/SRR locus and further supported TNS1 as the most likely target gene on chromosome 2. CONCLUSIONS Here, we describe unprecedented genome-wide open chromatin profiles from human pathogenic and nonpathogenic MVs and report specific gene regulation profiles, compared with the heart. We also report in vitro functional evidence for potential causal variants and target genes at MVP risk loci involving established and new biological mechanisms. Graphic Abstract: A graphic abstract is available for this article.
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Affiliation(s)
| | | | - Mengyao Yu
- Université de Paris, PARCC, Inserm, Paris,
France
| | | | - Lilong Guo
- Department of Regenerative Medicine and Cell Biology,
Medical University of South Carolina, Charleston, SC, USA
- Department of Medicine, Medical University of South
Carolina, Charleston, SC, USA
| | | | - Tony Rubio
- Institute of Pharmacology and Toxicology, University
Medical Center Göttingen, Germany
- DZHK (German Center for Cardiovascular Research), Partner
Site Göttingen, Germany
| | - Judith Gronwald
- Institute of Pharmacology and Toxicology, University
Medical Center Göttingen, Germany
- DZHK (German Center for Cardiovascular Research), Partner
Site Göttingen, Germany
| | - Hassina Baraki
- DZHK (German Center for Cardiovascular Research), Partner
Site Göttingen, Germany
- Department of Thoracic and Cardiovascular Surgery,
University Medical Center, Göttingen, Germany
| | - Ingo Kutschka
- DZHK (German Center for Cardiovascular Research), Partner
Site Göttingen, Germany
- Department of Thoracic and Cardiovascular Surgery,
University Medical Center, Göttingen, Germany
| | - Kedar K. Aras
- Department of Biomedical Engineering, George Washington
University, Washington, DC, USA
| | - Igor R. Efimov
- Department of Biomedical Engineering, George Washington
University, Washington, DC, USA
| | - Russel A. Norris
- Department of Regenerative Medicine and Cell Biology,
Medical University of South Carolina, Charleston, SC, USA
- Department of Medicine, Medical University of South
Carolina, Charleston, SC, USA
| | - Niels Voigt
- Institute of Pharmacology and Toxicology, University
Medical Center Göttingen, Germany
- DZHK (German Center for Cardiovascular Research), Partner
Site Göttingen, Germany
- Cluster of Excellence “Multiscale Bioimaging: from
Molecular Machines to Networks of Excitable Cells (MBExC), University of
Göttingen, Germany
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22
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H3K27me3-rich genomic regions can function as silencers to repress gene expression via chromatin interactions. Nat Commun 2021; 12:719. [PMID: 33514712 PMCID: PMC7846766 DOI: 10.1038/s41467-021-20940-y] [Citation(s) in RCA: 134] [Impact Index Per Article: 44.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 01/04/2021] [Indexed: 12/29/2022] Open
Abstract
The mechanisms underlying gene repression and silencers are poorly understood. Here we investigate the hypothesis that H3K27me3-rich regions of the genome, defined from clusters of H3K27me3 peaks, may be used to identify silencers that can regulate gene expression via proximity or looping. We find that H3K27me3-rich regions are associated with chromatin interactions and interact preferentially with each other. H3K27me3-rich regions component removal at interaction anchors by CRISPR leads to upregulation of interacting target genes, altered H3K27me3 and H3K27ac levels at interacting regions, and altered chromatin interactions. Chromatin interactions did not change at regions with high H3K27me3, but regions with low H3K27me3 and high H3K27ac levels showed changes in chromatin interactions. Cells with H3K27me3-rich regions knockout also show changes in phenotype associated with cell identity, and altered xenograft tumor growth. Finally, we observe that H3K27me3-rich regions-associated genes and long-range chromatin interactions are susceptible to H3K27me3 depletion. Our results characterize H3K27me3-rich regions and their mechanisms of functioning via looping.
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23
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Downes DJ, Beagrie RA, Gosden ME, Telenius J, Carpenter SJ, Nussbaum L, De Ornellas S, Sergeant M, Eijsbouts CQ, Schwessinger R, Kerry J, Roberts N, Shivalingam A, El-Sagheer A, Oudelaar AM, Brown T, Buckle VJ, Davies JOJ, Hughes JR. High-resolution targeted 3C interrogation of cis-regulatory element organization at genome-wide scale. Nat Commun 2021; 12:531. [PMID: 33483495 PMCID: PMC7822813 DOI: 10.1038/s41467-020-20809-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 12/16/2020] [Indexed: 01/30/2023] Open
Abstract
Chromosome conformation capture (3C) provides an adaptable tool for studying diverse biological questions. Current 3C methods generally provide either low-resolution interaction profiles across the entire genome, or high-resolution interaction profiles at limited numbers of loci. Due to technical limitations, generation of reproducible high-resolution interaction profiles has not been achieved at genome-wide scale. Here, to overcome this barrier, we systematically test each step of 3C and report two improvements over current methods. We show that up to 30% of reporter events generated using the popular in situ 3C method arise from ligations between two individual nuclei, but this noise can be almost entirely eliminated by isolating intact nuclei after ligation. Using Nuclear-Titrated Capture-C, we generate reproducible high-resolution genome-wide 3C interaction profiles by targeting 8055 gene promoters in erythroid cells. By pairing high-resolution 3C interaction calls with nascent gene expression we interrogate the role of promoter hubs and super-enhancers in gene regulation.
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Affiliation(s)
- Damien J Downes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Robert A Beagrie
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Matthew E Gosden
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Jelena Telenius
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Stephanie J Carpenter
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Lea Nussbaum
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Sara De Ornellas
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Martin Sergeant
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Chris Q Eijsbouts
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Ron Schwessinger
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Jon Kerry
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Nigel Roberts
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Arun Shivalingam
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Afaf El-Sagheer
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - A Marieke Oudelaar
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Tom Brown
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Veronica J Buckle
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - James O J Davies
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Jim R Hughes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
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24
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Abstract
Chromosome conformation capture and its variants have allowed chromatin topology to be interrogated at a superior resolution and throughput than by microscopic methods. Among the method derivatives, 4C-seq (circular chromosome conformation capture, coupled to high-throughput sequencing) is a versatile, cost-effective means of assessing all chromatin interactions with a specific genomic region of interest, making it particularly suitable for interrogating chromatin looping events. We present the principles and procedures for designing and implementing successful 4C-seq experiments.
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25
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Wang HF, Warrier T, Farran CA, Zheng ZH, Xing QR, Fullwood MJ, Zhang LF, Li H, Xu J, Lim TM, Loh YH. Defining Essential Enhancers for Pluripotent Stem Cells Using a Features-Oriented CRISPR-Cas9 Screen. Cell Rep 2020; 33:108309. [PMID: 33113365 DOI: 10.1016/j.celrep.2020.108309] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 06/23/2020] [Accepted: 10/05/2020] [Indexed: 12/26/2022] Open
Abstract
cis-regulatory elements (CREs) regulate the expression of genes in their genomic neighborhoods and influence cellular processes such as cell-fate maintenance and differentiation. To date, there remain major gaps in the functional characterization of CREs and the identification of their target genes in the cellular native environment. In this study, we perform a features-oriented CRISPR-utilized systematic (FOCUS) screen of OCT4-bound CREs using CRISPR-Cas9 to identify functional enhancers important for pluripotency maintenance in mESCs. From the initial 235 candidates tested, 16 CREs are identified to be essential stem cell enhancers. Using RNA-seq and genomic 4C-seq, we further uncover a complex network of candidate CREs and their downstream target genes, which supports the growth and self-renewal of mESCs. Notably, an essential enhancer, CRE111, and its target, Lrrc31, form the important switch to modulate the LIF-JAK1-STAT3 signaling pathway.
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Affiliation(s)
- Hao Fei Wang
- Laboratory for Epigenetics, Stem Cells and Cell Therapy, Programme in Stem Cell, Regenerative Medicine and Aging, A(∗)STAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore; Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore
| | - Tushar Warrier
- Laboratory for Epigenetics, Stem Cells and Cell Therapy, Programme in Stem Cell, Regenerative Medicine and Aging, A(∗)STAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore; Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore
| | - Chadi A Farran
- Laboratory for Epigenetics, Stem Cells and Cell Therapy, Programme in Stem Cell, Regenerative Medicine and Aging, A(∗)STAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore
| | - Zi Hao Zheng
- Laboratory for Epigenetics, Stem Cells and Cell Therapy, Programme in Stem Cell, Regenerative Medicine and Aging, A(∗)STAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore
| | - Qiao Rui Xing
- Laboratory for Epigenetics, Stem Cells and Cell Therapy, Programme in Stem Cell, Regenerative Medicine and Aging, A(∗)STAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Melissa J Fullwood
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Li-Feng Zhang
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Hu Li
- Center for Individualized Medicine, Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Jian Xu
- Department of Biological Sciences and Centre for BioImaging Sciences, National University of Singapore, Singapore 117543, Singapore; Department of Plant Systems Physiology, Institute for Water and Wetland Research, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands.
| | - Tit-Meng Lim
- Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore.
| | - Yuin-Han Loh
- Laboratory for Epigenetics, Stem Cells and Cell Therapy, Programme in Stem Cell, Regenerative Medicine and Aging, A(∗)STAR Institute of Molecular and Cell Biology, Singapore 138673, Singapore; Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore; NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore; Department of Physiology, NUS Yong Loo Lin School of Medicine, 2 Medical Drive, MD9, Singapore 117593, Singapore.
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26
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Jiang YY, Jiang Y, Li CQ, Zhang Y, Dakle P, Kaur H, Deng JW, Lin RYT, Han L, Xie JJ, Yan Y, Doan N, Zheng Y, Mayakonda A, Hazawa M, Xu L, Li Y, Aswad L, Jeitany M, Kanojia D, Guan XY, Said JW, Yang W, Fullwood MJ, Lin DC, Koeffler HP. TP63, SOX2, and KLF5 Establish a Core Regulatory Circuitry That Controls Epigenetic and Transcription Patterns in Esophageal Squamous Cell Carcinoma Cell Lines. Gastroenterology 2020; 159:1311-1327.e19. [PMID: 32619460 DOI: 10.1053/j.gastro.2020.06.050] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 06/12/2020] [Accepted: 06/21/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND & AIMS We investigated the transcriptome of esophageal squamous cell carcinoma (ESCC) cells, activity of gene regulatory (enhancer and promoter regions), and the effects of blocking epigenetic regulatory proteins. METHODS We performed chromatin immunoprecipitation sequencing with antibodies against H3K4me1, H3K4me3, and H3K27ac and an assay for transposase-accessible chromatin to map the enhancer regions and accessible chromatin in 8 ESCC cell lines. We used the CRC_Mapper algorithm to identify core regulatory circuitry transcription factors in ESCC cell lines, and determined genome occupancy profiles for 3 of these factors. In ESCC cell lines, expression of transcription factors was knocked down with small hairpin RNAs, promoter and enhancer regions were disrupted by CRISPR/Cas9 genome editing, or bromodomains and extraterminal (BET) family proteins and histone deacetylases (HDACs) were inhibited with ARV-771 and romidepsin, respectively. ESCC cell lines were then analyzed by whole-transcriptome sequencing, immunoprecipitation, immunoblots, immunohistochemistry, and viability assays. Interactions between distal enhancers and promoters were identified and verified with circular chromosome conformation capture sequencing. NOD-SCID mice were given injections of modified ESCC cells, some mice where given injections of HDAC or BET inhibitors, and growth of xenograft tumors was measured. RESULTS We identified super-enhancer-regulated circuits and transcription factors TP63, SOX2, and KLF5 as core regulatory factors in ESCC cells. Super-enhancer regulation of ALDH3A1 mediated by core regulatory factors was required for ESCC viability. We observed direct interactions between the promoter region of TP63 and functional enhancers, mediated by the core regulatory circuitry transcription factors. Deletion of enhancer regions from ESCC cells decreased expression of the core regulatory circuitry transcription factors and reduced cell viability; these same results were observed with knockdown of each core regulatory circuitry transcription factor. Incubation of ESCC cells with BET and HDAC disrupted the core regulatory circuitry program and the epigenetic modifications observed in these cells; mice given injections of HDAC or BET inhibitors developed smaller xenograft tumors from the ESCC cell lines. Xenograft tumors grew more slowly in mice given the combination of ARV-771 and romidepsin than mice given either agent alone. CONCLUSIONS In epigenetic and transcriptional analyses of ESCC cell lines, we found the transcription factors TP63, SOX2, and KLF5 to be part of a core regulatory network that determines chromatin accessibility, epigenetic modifications, and gene expression patterns in these cells. A combination of epigenetic inhibitors slowed growth of xenograft tumors derived from ESCC cells in mice.
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Affiliation(s)
- Yan-Yi Jiang
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California; Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Yuan Jiang
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
| | - Chun-Quan Li
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Ying Zhang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Pushkar Dakle
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Harvinder Kaur
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Jian-Wen Deng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Ruby Yu-Tong Lin
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Lin Han
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Jian-Jun Xie
- Department of Biochemistry and Molecular Biology, Medical College of Shantou University, Shantou, China
| | - Yiwu Yan
- Cedars-Sinai Medical Center, Departments of Surgery and Biomedical Sciences, Los Angeles, California
| | - Ngan Doan
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Yueyuan Zheng
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Anand Mayakonda
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Masaharu Hazawa
- Cell-Bionomics Research Unit, Innovative Integrated Bio-Research Core, Institute for Frontier Science Initiative, Kanazawa University, Kanazawa, Ishikawa, Japan
| | - Liang Xu
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - YanYu Li
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Luay Aswad
- Cancer Science Institute of Singapore, National University of Singapore, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore
| | - Maya Jeitany
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Deepika Kanojia
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Xin-Yuan Guan
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Jonathan W Said
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Wei Yang
- Cedars-Sinai Medical Center, Departments of Surgery and Biomedical Sciences, Los Angeles, California
| | - Melissa J Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore.
| | - De-Chen Lin
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
| | - H Phillip Koeffler
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California; Cancer Science Institute of Singapore, National University of Singapore, Singapore; National University Cancer Institute, National University Hospital Singapore, Singapore
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Hill L, Ebert A, Jaritz M, Wutz G, Nagasaka K, Tagoh H, Kostanova-Poliakova D, Schindler K, Sun Q, Bönelt P, Fischer M, Peters JM, Busslinger M. Wapl repression by Pax5 promotes V gene recombination by Igh loop extrusion. Nature 2020; 584:142-147. [PMID: 32612238 PMCID: PMC7116900 DOI: 10.1038/s41586-020-2454-y] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 04/09/2020] [Indexed: 01/04/2023]
Abstract
Nuclear processes, such as V(D)J recombination, are orchestrated by the three-dimensional organization of chromosomes at multiple levels, including compartments1 and topologically associated domains (TADs)2,3 consisting of chromatin loops4. TADs are formed by chromatin-loop extrusion5-7, which depends on the loop-extrusion function of the ring-shaped cohesin complex8-12. Conversely, the cohesin-release factor Wapl13,14 restricts loop extension10,15. The generation of a diverse antibody repertoire, providing humoral immunity to pathogens, requires the participation of all V genes in V(D)J recombination16, which depends on contraction of the 2.8-Mb-long immunoglobulin heavy chain (Igh) locus by Pax517,18. However, how Pax5 controls Igh contraction in pro-B cells remains unknown. Here we demonstrate that locus contraction is caused by loop extrusion across the entire Igh locus. Notably, the expression of Wapl is repressed by Pax5 specifically in pro-B and pre-B cells, facilitating extended loop extrusion by increasing the residence time of cohesin on chromatin. Pax5 mediates the transcriptional repression of Wapl through a single Pax5-binding site by recruiting the polycomb repressive complex 2 to induce bivalent chromatin at the Wapl promoter. Reduced Wapl expression causes global alterations in the chromosome architecture, indicating that the potential to recombine all V genes entails structural changes of the entire genome in pro-B cells.
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Affiliation(s)
- Louisa Hill
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Anja Ebert
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Markus Jaritz
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Gordana Wutz
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Kota Nagasaka
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Hiromi Tagoh
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
- Ludwig Institute for Cancer Research, University of Oxford, Oxford, UK
| | | | - Karina Schindler
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Qiong Sun
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Peter Bönelt
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Maria Fischer
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Jan-Michael Peters
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Meinrad Busslinger
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria.
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28
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Walter C, Schuetzmann D, Rosenbauer F, Dugas M. Benchmarking of 4C-seq pipelines based on real and simulated data. Bioinformatics 2020; 35:4938-4945. [PMID: 31134276 PMCID: PMC6901067 DOI: 10.1093/bioinformatics/btz426] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Revised: 04/24/2019] [Accepted: 05/23/2019] [Indexed: 12/15/2022] Open
Abstract
Motivation With its capacity for high-resolution data output in one region of interest, chromosome conformation capture combined with high-throughput sequencing (4C-seq) is a state-of-the-art next-generation sequencing technique that provides epigenetic insights, and regularly advances current medical research. However, 4C-seq data are complex and prone to biases, and while specialized programs exist, an unbiased, extensive benchmarking is still lacking. Furthermore, neither substantial datasets with fully characterized ground truth, nor simulation programs for realistic 4C-seq data have been published. Results We conducted a benchmarking study on 66 4C-seq samples from 20 datasets, and developed a novel 4C-seq simulation software, Basic4CSim, to allow for detailed comparisons of 4C-seq algorithms on 50 simulated datasets with 10–120 samples each. Simulations and benchmarking were adapted to address different characteristics of 4C-seq data. Simulated data were compared with published samples to validate simulation settings. We identified differences between 4C-seq algorithms in terms of precision, recall, interaction structure, and run time, and observed general trends. Novel differential pipeline versions of single-sample based 4C-seq algorithms were included in the benchmarking. While no single tool was optimally suited for both near-cis and far-cis, and both single-sample and differential analyses, choosing a high-performing algorithm variant did improve results considerably. For near-cis scenarios, r3Cseq, peakC and FourCSeq offered high precision, while fourSig demonstrated high overall F1 scores in far-cis analyses. Finally, 4C-seq simulations may aid in the development of improved analysis algorithms. Availability and implementation Basic4CSim is available at https://github.com/walter–ca/Basic4CSim. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Carolin Walter
- Institute of Medical Informatics, University of Münster, Münster, Germany
| | - Daniel Schuetzmann
- Institute of Molecular Tumorbiology, University of Münster, Münster, Germany
| | - Frank Rosenbauer
- Institute of Molecular Tumorbiology, University of Münster, Münster, Germany
| | - Martin Dugas
- Institute of Medical Informatics, University of Münster, Münster, Germany
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An O, Tan KT, Li Y, Li J, Wu CS, Zhang B, Chen L, Yang H. CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing. Int J Mol Sci 2020; 21:ijms21113828. [PMID: 32481589 PMCID: PMC7312552 DOI: 10.3390/ijms21113828] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 05/24/2020] [Accepted: 05/26/2020] [Indexed: 12/18/2022] Open
Abstract
Next-generation sequencing (NGS) has been a widely-used technology in biomedical research for understanding the role of molecular genetics of cells in health and disease. A variety of computational tools have been developed to analyse the vastly growing NGS data, which often require bioinformatics skills, tedious work and a significant amount of time. To facilitate data processing steps minding the gap between biologists and bioinformaticians, we developed CSI NGS Portal, an online platform which gathers established bioinformatics pipelines to provide fully automated NGS data analysis and sharing in a user-friendly website. The portal currently provides 16 standard pipelines for analysing data from DNA, RNA, smallRNA, ChIP, RIP, 4C, SHAPE, circRNA, eCLIP, Bisulfite and scRNA sequencing, and is flexible to expand with new pipelines. The users can upload raw data in FASTQ format and submit jobs in a few clicks, and the results will be self-accessible via the portal to view/download/share in real-time. The output can be readily used as the final report or as input for other tools depending on the pipeline. Overall, CSI NGS Portal helps researchers rapidly analyse their NGS data and share results with colleagues without the aid of a bioinformatician. The portal is freely available at: https://csibioinfo.nus.edu.sg/csingsportal.
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Affiliation(s)
- Omer An
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (K.-T.T.); (Y.L.); (J.L.); (C.-S.W.); (B.Z.); (L.C.)
- Correspondence: (O.A.); (H.Y.); Tel.: +65-8452-1766 (O.A.); +65-6601-1533 (H.Y.)
| | - Kar-Tong Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (K.-T.T.); (Y.L.); (J.L.); (C.-S.W.); (B.Z.); (L.C.)
| | - Ying Li
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (K.-T.T.); (Y.L.); (J.L.); (C.-S.W.); (B.Z.); (L.C.)
| | - Jia Li
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (K.-T.T.); (Y.L.); (J.L.); (C.-S.W.); (B.Z.); (L.C.)
| | - Chan-Shuo Wu
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (K.-T.T.); (Y.L.); (J.L.); (C.-S.W.); (B.Z.); (L.C.)
| | - Bin Zhang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (K.-T.T.); (Y.L.); (J.L.); (C.-S.W.); (B.Z.); (L.C.)
| | - Leilei Chen
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (K.-T.T.); (Y.L.); (J.L.); (C.-S.W.); (B.Z.); (L.C.)
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117594, Singapore
| | - Henry Yang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (K.-T.T.); (Y.L.); (J.L.); (C.-S.W.); (B.Z.); (L.C.)
- Correspondence: (O.A.); (H.Y.); Tel.: +65-8452-1766 (O.A.); +65-6601-1533 (H.Y.)
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30
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Zisis D, Krajewski P, Stam M, Weber B, Hövel I. Analysis of 4C-seq data: A comparison of methods. J Bioinform Comput Biol 2020; 18:2050001. [PMID: 32336253 DOI: 10.1142/s0219720020500018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The circular chromosome conformation capture technique followed by sequencing (4C-seq) has been used in a number of studies to investigate chromosomal interactions between DNA fragments. Computational pipelines have been developed and published that offer various possibilities of 4C-seq data processing and statistical analysis. Here, we present an overview of four of such pipelines (fourSig, FourCSeq, 4C-ker and w4Cseq) taking into account the most important stages of computations. We provide comparisons of the methods and discuss their advantages and possible weaknesses. We illustrate the results with the use of data obtained for two different species, in a study devoted to vernalization control in Arabidopsis thaliana by the FLOWERING LOCUS C (FLC) gene and to long-range chromatin interactions in mouse embryonic stem cells.
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Affiliation(s)
- Dimitrios Zisis
- Institute of Plant Genetics, Polish Academy of Sciences, Strzeszyńska 34, 61-479 Poznań, Poland
| | - Paweł Krajewski
- Institute of Plant Genetics, Polish Academy of Sciences, Strzeszyńska 34, 61-479 Poznań, Poland
| | - Maike Stam
- Swammerdam Institute for Life Sciences, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, The Netherlands
| | - Blaise Weber
- Swammerdam Institute for Life Sciences, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, The Netherlands
| | - Iris Hövel
- Swammerdam Institute for Life Sciences, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, The Netherlands
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31
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Pan J, Silva TC, Gull N, Yang Q, Plummer JT, Chen S, Daigo K, Hamakubo T, Gery S, Ding LW, Jiang YY, Hu S, Xu LY, Li EM, Ding Y, Klempner SJ, Gayther SA, Berman BP, Koeffler HP, Lin DC. Lineage-Specific Epigenomic and Genomic Activation of Oncogene HNF4A Promotes Gastrointestinal Adenocarcinomas. Cancer Res 2020; 80:2722-2736. [PMID: 32332020 DOI: 10.1158/0008-5472.can-20-0390] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 03/24/2020] [Accepted: 04/21/2020] [Indexed: 12/24/2022]
Abstract
Gastrointestinal adenocarcinomas (GIAC) of the tubular gastrointestinal (GI) tract including esophagus, stomach, colon, and rectum comprise most GI cancers and share a spectrum of genomic features. However, the unified epigenomic changes specific to GIAC are poorly characterized. Using 907 GIAC samples from The Cancer Genome Atlas, we applied mathematical algorithms to large-scale DNA methylome and transcriptome profiles to reconstruct transcription factor (TF) networks and identify a list of functionally hyperactive master regulator (MR) TF shared across different GIAC. The top candidate HNF4A exhibited prominent genomic and epigenomic activation in a GIAC-specific manner. A complex interplay between the HNF4A promoter and three distal enhancer elements was coordinated by GIAC-specific MRTF including ELF3, GATA4, GATA6, and KLF5. HNF4A also self-regulated its own promoter and enhancers. Functionally, HNF4A promoted cancer proliferation and survival by transcriptional activation of many downstream targets, including HNF1A and factors of interleukin signaling, in a lineage-specific manner. Overall, our study provides new insights into the GIAC-specific gene regulatory networks and identifies potential therapeutic strategies against these common cancers. SIGNIFICANCE: These findings show that GIAC-specific master regulatory transcription factors control HNF4A via three distal enhancers to promote GIAC cell proliferation and survival. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/80/13/2722/F1.large.jpg.
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Affiliation(s)
- Jian Pan
- Department of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, China.,Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Tiago C Silva
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, California.,Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Nicole Gull
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, California
| | - Qian Yang
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.,Institute of Oncologic Pathology, Medical College of Shantou University, Shantou, China
| | - Jasmine T Plummer
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, California
| | - Stephanie Chen
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, California
| | - Kenji Daigo
- Department of Protein-protein Interaction Research, Institute for Advanced Medical Sciences, Nippon Medical School, Kawasaki, Kanagawa, Japan
| | - Takao Hamakubo
- Department of Protein-protein Interaction Research, Institute for Advanced Medical Sciences, Nippon Medical School, Kawasaki, Kanagawa, Japan
| | - Sigal Gery
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Ling-Wen Ding
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Yan-Yi Jiang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Shaoyan Hu
- Department of Hematology and Oncology, Children's Hospital of Soochow University, Suzhou, China
| | - Li-Yan Xu
- Institute of Oncologic Pathology, Medical College of Shantou University, Shantou, China
| | - En-Min Li
- Institute of Oncologic Pathology, Medical College of Shantou University, Shantou, China
| | - Yanbing Ding
- Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Jiangsu, China
| | - Samuel J Klempner
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, California
| | - Benjamin P Berman
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, California. .,Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - H Phillip Koeffler
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.,Cancer Science Institute of Singapore, National University of Singapore, Singapore.,National University Cancer Institute, National University Hospital Singapore, Singapore
| | - De-Chen Lin
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
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de Anda-Jáuregui G, Hernández-Lemus E. Computational Oncology in the Multi-Omics Era: State of the Art. Front Oncol 2020; 10:423. [PMID: 32318338 PMCID: PMC7154096 DOI: 10.3389/fonc.2020.00423] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 03/10/2020] [Indexed: 12/24/2022] Open
Abstract
Cancer is the quintessential complex disease. As technologies evolve faster each day, we are able to quantify the different layers of biological elements that contribute to the emergence and development of malignancies. In this multi-omics context, the use of integrative approaches is mandatory in order to gain further insights on oncological phenomena, and to move forward toward the precision medicine paradigm. In this review, we will focus on computational oncology as an integrative discipline that incorporates knowledge from the mathematical, physical, and computational fields to further the biomedical understanding of cancer. We will discuss the current roles of computation in oncology in the context of multi-omic technologies, which include: data acquisition and processing; data management in the clinical and research settings; classification, diagnosis, and prognosis; and the development of models in the research setting, including their use for therapeutic target identification. We will discuss the machine learning and network approaches as two of the most promising emerging paradigms, in computational oncology. These approaches provide a foundation on how to integrate different layers of biological description into coherent frameworks that allow advances both in the basic and clinical settings.
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Affiliation(s)
- Guillermo de Anda-Jáuregui
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Cátedras Conacyt Para Jóvenes Investigadores, National Council on Science and Technology, Mexico City, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
- Center for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City, Mexico
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33
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Three-dimensional genome architectural CCCTC-binding factor makes choice in duplicated enhancers at Pcdhα locus. SCIENCE CHINA-LIFE SCIENCES 2020; 63:835-844. [PMID: 32249388 DOI: 10.1007/s11427-019-1598-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 12/04/2019] [Indexed: 01/04/2023]
Abstract
During development, gene expression is spatiotemporally regulated by long-distance chromatin interactions between distal enhancers and target promoters. However, how specificity of the interactions between enhancers and promoters is achieved remains largely unknown. As there are far more enhancers than promoters in mammalian genomes, the complexities of enhancer choice during gene regulation remain obscure. CTCF, the CCCTC-binding factor that directionally binds to a vast range of genomic sites known as CBSs (CTCF-binding sites), mediates oriented chromatin looping between a substantial set of distal enhancers and target promoters. To investigate mechanisms by which CTCF engages in enhancer choice, we used CRISPR/Cas9-based DNA-fragment editing to duplicate CBS-containing enhancers and promoters in the native genomic locus of the clustered Pcdhα genes. We found that the promoter is regulated by the proximal one among duplicated enhancers and that this choice is dependent on CTCF-mediated directional enhancer-promoter looping. In addition, gene expression is unaltered upon the switch of enhancers. Moreover, after promoter duplication, only the proximal promoter is chosen by CTCF-mediated directional chromatin looping to contact with the distal enhancer. Finally, we demonstrated that both enhancer activation and chromatin looping with the promoter are essential for gene expression. These findings have important implications regarding the role of CTCF in specific interactions between enhancers and promoters as well as developmental regulation of gene expression by enhancer switching.
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34
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Ben Zouari Y, Platania A, Molitor AM, Sexton T. 4See: A Flexible Browser to Explore 4C Data. Front Genet 2020; 10:1372. [PMID: 32038719 PMCID: PMC6985583 DOI: 10.3389/fgene.2019.01372] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 12/16/2019] [Indexed: 01/01/2023] Open
Abstract
It is established that transcription of many metazoan genes is regulated by distal regulatory sequences beyond the promoter. Enhancers have been identified at up to megabase distances from their regulated genes, and/or proximal to or within the introns of unregulated genes. The unambiguous identification of the target genes of newly identified regulatory elements can thus be challenging. Well-studied enhancers have been found to come into direct physical proximity with regulated genes, presumably by the formation of chromatin loops. Chromosome conformation capture (3C) derivatives that assess the frequency of proximity between different genetic elements is thus a popular method for exploring gene regulation by distal regulatory elements. For studies of chromatin loops and promoter-enhancer communication, 4C (circular chromosome conformation capture) is one of the methods of choice, optimizing cost (required sequencing depth), throughput, and resolution. For ease of visual inspection of 4C data we present 4See, a versatile and user-friendly browser. 4See allows 4C profiles from the same bait to be flexibly plotted together, allowing biological replicates to either be compared, or pooled for comparisons between different cell types or experimental conditions. 4C profiles can be integrated with gene tracks, linear epigenomic profiles, and annotated regions of interest, such as called significant interactions, allowing rapid data exploration with limited computational resources or bioinformatics expertise.
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Affiliation(s)
- Yousra Ben Zouari
- Institute of Genetics and Molecular and Cellular Biology (IGBMC), Illkirch, France.,CNRS UMR7104, Illkirch, France.,INSERM U1258, Illkirch, France.,University of Strasbourg, Illkirch, France
| | - Angeliki Platania
- Institute of Genetics and Molecular and Cellular Biology (IGBMC), Illkirch, France.,CNRS UMR7104, Illkirch, France.,INSERM U1258, Illkirch, France.,University of Strasbourg, Illkirch, France
| | - Anne M Molitor
- Institute of Genetics and Molecular and Cellular Biology (IGBMC), Illkirch, France.,CNRS UMR7104, Illkirch, France.,INSERM U1258, Illkirch, France.,University of Strasbourg, Illkirch, France
| | - Tom Sexton
- Institute of Genetics and Molecular and Cellular Biology (IGBMC), Illkirch, France.,CNRS UMR7104, Illkirch, France.,INSERM U1258, Illkirch, France.,University of Strasbourg, Illkirch, France
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35
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Laugsch M, Bartusel M, Rehimi R, Alirzayeva H, Karaolidou A, Crispatzu G, Zentis P, Nikolic M, Bleckwehl T, Kolovos P, van Ijcken WFJ, Šarić T, Koehler K, Frommolt P, Lachlan K, Baptista J, Rada-Iglesias A. Modeling the Pathological Long-Range Regulatory Effects of Human Structural Variation with Patient-Specific hiPSCs. Cell Stem Cell 2019; 24:736-752.e12. [PMID: 30982769 DOI: 10.1016/j.stem.2019.03.004] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 01/03/2019] [Accepted: 03/06/2019] [Indexed: 11/18/2022]
Abstract
The pathological consequences of structural variants disrupting 3D genome organization can be difficult to elucidate in vivo due to differences in gene dosage sensitivity between mice and humans. This is illustrated by branchiooculofacial syndrome (BOFS), a rare congenital disorder caused by heterozygous mutations within TFAP2A, a neural crest regulator for which humans, but not mice, are haploinsufficient. Here, we present a BOFS patient carrying a heterozygous inversion with one breakpoint located within a topologically associating domain (TAD) containing enhancers essential for TFAP2A expression in human neural crest cells (hNCCs). Using patient-specific hiPSCs, we show that, although the inversion shuffles the TFAP2A hNCC enhancers with novel genes within the same TAD, this does not result in enhancer adoption. Instead, the inversion disconnects one TFAP2A allele from its cognate enhancers, leading to monoallelic and haploinsufficient TFAP2A expression in patient hNCCs. Our work illustrates the power of hiPSC differentiation to unveil long-range pathomechanisms.
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Affiliation(s)
- Magdalena Laugsch
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany; Institute of Human Genetics, CMMC, University Hospital Cologne, Cologne, Germany
| | - Michaela Bartusel
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Rizwan Rehimi
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Hafiza Alirzayeva
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Agathi Karaolidou
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Giuliano Crispatzu
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Peter Zentis
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Milos Nikolic
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Tore Bleckwehl
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Petros Kolovos
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
| | | | - Tomo Šarić
- Center for Physiology and Pathophysiology, Institute for Neurophysiology, Medical Faculty, University of Cologne, Cologne, Germany
| | - Katrin Koehler
- Department of Pediatrics, University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Peter Frommolt
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Katherine Lachlan
- Human Genetics & Genomic Medicine, University of Southampton, Southampton General Hospital, Southampton, UK; Clinical Genetics Service, University Hospital Southampton NHS Foundation Trust, Princess Anne Hospital, Southampton, UK
| | - Julia Baptista
- Molecular Genetics Department, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
| | - Alvaro Rada-Iglesias
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany; Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), University of Cantabria, Cantabria, Spain.
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Identification of a novel enhancer of CEBPE essential for granulocytic differentiation. Blood 2019; 133:2507-2517. [PMID: 30952671 DOI: 10.1182/blood.2018886077] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 03/25/2019] [Indexed: 12/22/2022] Open
Abstract
CCAAT/enhancer binding protein ε (CEBPE) is an essential transcription factor for granulocytic differentiation. Mutations of CEBPE occur in individuals with neutrophil-specific granule deficiency (SGD), which is characterized by defects in neutrophil maturation. Cebpe-knockout mice also exhibit defects in terminal differentiation of granulocytes, a phenotype reminiscent of SGD. Analysis of DNase I hypersensitive sites sequencing data revealed an open chromatin region 6 kb downstream of the transcriptional start site of Cebpe in murine myeloid cells. We identified an interaction between this +6-kb region and the core promoter of Cebpe using circular chromosome conformation capture sequencing (4C-seq). To understand the role of this putative enhancer in transcriptional regulation of Cebpe, we targeted it using catalytically inactive Cas9 fused to Krüppel-associated box (KRAB) domain and observed a significant downregulation of transcript and protein levels of CEBPE in cells expressing guide RNA targeting the +6-kb region. To further investigate the role of this novel enhancer further in myelopoiesis, we generated mice with deletion of this region using CRISPR/Cas9 technology. Germline deletion of the +6-kb enhancer resulted in reduced levels of CEBPE and its target genes and caused a severe block in granulocytic differentiation. We also identified binding of CEBPA and CEBPE to the +6-kb enhancer, which suggests their role in regulating the expression of Cebpe In summary, we have identified a novel enhancer crucial for regulating expression of Cebpe and required for normal granulocytic differentiation.
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A bipartite boundary element restricts UBE3A imprinting to mature neurons. Proc Natl Acad Sci U S A 2019; 116:2181-2186. [PMID: 30674673 DOI: 10.1073/pnas.1815279116] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Angelman syndrome (AS) is a severe neurodevelopmental disorder caused by the loss of function from the maternal allele of UBE3A, a gene encoding an E3 ubiquitin ligase. UBE3A is only expressed from the maternally inherited allele in mature human neurons due to tissue-specific genomic imprinting. Imprinted expression of UBE3A is restricted to neurons by expression of UBE3A antisense transcript (UBE3A-ATS) from the paternally inherited allele, which silences the paternal allele of UBE3A in cis However, the mechanism restricting UBE3A-ATS expression and UBE3A imprinting to neurons is not understood. We used CRISPR/Cas9-mediated genome editing to functionally define a bipartite boundary element critical for neuron-specific expression of UBE3A-ATS in humans. Removal of this element led to up-regulation of UBE3A-ATS without repressing paternal UBE3A However, increasing expression of UBE3A-ATS in the absence of the boundary element resulted in full repression of paternal UBE3A, demonstrating that UBE3A imprinting requires both the loss of function from the boundary element as well as the up-regulation of UBE3A-ATS These results suggest that manipulation of the competition between UBE3A-ATS and UBE3A may provide a potential therapeutic approach for AS.
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38
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Xie JJ, Jiang YY, Jiang Y, Li CQ, Lim MC, An O, Mayakonda A, Ding LW, Long L, Sun C, Lin LH, Chen L, Wu JY, Wu ZY, Cao Q, Fang WK, Yang W, Soukiasian H, Meltzer SJ, Yang H, Fullwood M, Xu LY, Li EM, Lin DC, Koeffler HP. Super-Enhancer-Driven Long Non-Coding RNA LINC01503, Regulated by TP63, Is Over-Expressed and Oncogenic in Squamous Cell Carcinoma. Gastroenterology 2018; 154:2137-2151.e1. [PMID: 29454790 DOI: 10.1053/j.gastro.2018.02.018] [Citation(s) in RCA: 151] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Revised: 02/06/2018] [Accepted: 02/08/2018] [Indexed: 12/19/2022]
Abstract
BACKGROUND & AIMS Long non-coding RNAs (lncRNAs) are expressed in tissue-specific pattern, but it is not clear how these are regulated. We aimed to identify squamous cell carcinoma (SCC)-specific lncRNAs and investigate mechanisms that control their expression and function. METHODS We studied expression patterns and functions of 4 SCC-specific lncRNAs. We obtained 113 esophageal SCC (ESCC) and matched non-tumor esophageal tissues from a hospital in Shantou City, China, and performed quantitative reverse transcription polymerase chain reaction assays to measure expression levels of LINC01503. We collected clinical data from patients and compared expression levels with survival times. LINC01503 was knocked down using small interfering RNAs and oligonucleotides in TE7, TE5, and KYSE510 cell lines and overexpressed in KYSE30 cells. Cells were analyzed by chromatin immunoprecipitation sequencing, luciferase reporter assays, colony formation, migration and invasion, and mass spectrometry analyses. Cells were injected into nude mice and growth of xenograft tumors was measured. LINC01503 interaction with proteins was studied using fluorescence in situ hybridization, RNA pulldown, and RNA immunoprecipitation analyses. RESULTS We identified a lncRNA, LINC01503, which is regulated by a super enhancer and is expressed at significantly higher levels in esophageal and head and neck SCCs than in non-tumor tissues. High levels in SCCs correlated with shorter survival times of patients. The transcription factor TP63 bound to the super enhancer at the LINC01503 locus and activated its transcription. Expression of LINC01503 in ESCC cell lines increased their proliferation, colony formation, migration, and invasion. Knockdown of LINC01503 in SCC cells reduced their proliferation, colony formation, migration, and invasion, and the growth of xenograft tumors in nude mice. Expression of LINC01503 in ESCC cell lines reduced ERK2 dephosphorylation by DUSP6, leading to activation of ERK signaling via MAPK. LINC01503 disrupted the interaction between EBP1 and the p85 subunit of PI3K, increasing AKT signaling. CONCLUSIONS We identified an lncRNA, LINC01503, which is increased in SCC cells compared with non-tumor cells. Increased expression of LINC01503 promotes ESCC cell proliferation, migration, invasion, and growth of xenograft tumors. It might be developed as a biomarker of aggressive SCCs in patients.
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Affiliation(s)
- Jian-Jun Xie
- Department of Biochemistry and Molecular Biology, Medical College of Shantou University, Shantou, China; Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
| | - Yan-Yi Jiang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Yuan Jiang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Chun-Quan Li
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Mei-Chee Lim
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Omer An
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Anand Mayakonda
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Ling-Wen Ding
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Lin Long
- Department of Biochemistry and Molecular Biology, Medical College of Shantou University, Shantou, China
| | - Chun Sun
- Department of Biochemistry and Molecular Biology, Medical College of Shantou University, Shantou, China
| | - Le-Hang Lin
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Li Chen
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Jian-Yi Wu
- Department of Biochemistry and Molecular Biology, Medical College of Shantou University, Shantou, China
| | - Zhi-Yong Wu
- Department of Oncologic Surgery, Shantou Central Hospital, Affiliated Shantou Hospital of Sun Yat-Sen University, Shantou, China
| | - Qi Cao
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Wang-Kai Fang
- Department of Biochemistry and Molecular Biology, Medical College of Shantou University, Shantou, China
| | - Wei Yang
- Departments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Harmik Soukiasian
- Division of Thoracic Surgery, Cedars-Sinai Medical Center, Los Angeles, California
| | - Stephen J Meltzer
- Departments of Medicine and Oncology, the Johns Hopkins University School of Medicine, Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland
| | - Henry Yang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Melissa Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore
| | - Li-Yan Xu
- Institute of Oncologic Pathology, Medical College of Shantou University, Shantou, China.
| | - En-Min Li
- Department of Biochemistry and Molecular Biology, Medical College of Shantou University, Shantou, China.
| | - De-Chen Lin
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
| | - H Phillip Koeffler
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California; Cancer Science Institute of Singapore, National University of Singapore, Singapore; National University Cancer Institute, National University Hospital Singapore, Singapore
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Beekman R, Chapaprieta V, Russiñol N, Vilarrasa-Blasi R, Verdaguer-Dot N, Martens JHA, Duran-Ferrer M, Kulis M, Serra F, Javierre BM, Wingett SW, Clot G, Queirós AC, Castellano G, Blanc J, Gut M, Merkel A, Heath S, Vlasova A, Ullrich S, Palumbo E, Enjuanes A, Martín-García D, Beà S, Pinyol M, Aymerich M, Royo R, Puiggros M, Torrents D, Datta A, Lowy E, Kostadima M, Roller M, Clarke L, Flicek P, Agirre X, Prosper F, Baumann T, Delgado J, López-Guillermo A, Fraser P, Yaspo ML, Guigó R, Siebert R, Martí-Renom MA, Puente XS, López-Otín C, Gut I, Stunnenberg HG, Campo E, Martin-Subero JI. The reference epigenome and regulatory chromatin landscape of chronic lymphocytic leukemia. Nat Med 2018; 24:868-880. [PMID: 29785028 PMCID: PMC6363101 DOI: 10.1038/s41591-018-0028-4] [Citation(s) in RCA: 131] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 03/23/2018] [Indexed: 12/11/2022]
Abstract
Chronic lymphocytic leukemia (CLL) is a frequent hematological neoplasm in which underlying epigenetic alterations are only partially understood. Here, we analyze the reference epigenome of seven primary CLLs and the regulatory chromatin landscape of 107 primary cases in the context of normal B cell differentiation. We identify that the CLL chromatin landscape is largely influenced by distinct dynamics during normal B cell maturation. Beyond this, we define extensive catalogues of regulatory elements de novo reprogrammed in CLL as a whole and in its major clinico-biological subtypes classified by IGHV somatic hypermutation levels. We uncover that IGHV-unmutated CLLs harbor more active and open chromatin than IGHV-mutated cases. Furthermore, we show that de novo active regions in CLL are enriched for NFAT, FOX and TCF/LEF transcription factor family binding sites. Although most genetic alterations are not associated with consistent epigenetic profiles, CLLs with MYD88 mutations and trisomy 12 show distinct chromatin configurations. Furthermore, we observe that non-coding mutations in IGHV-mutated CLLs are enriched in H3K27ac-associated regulatory elements outside accessible chromatin. Overall, this study provides an integrative portrait of the CLL epigenome, identifies extensive networks of altered regulatory elements and sheds light on the relationship between the genetic and epigenetic architecture of the disease.
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Affiliation(s)
- Renée Beekman
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
| | - Vicente Chapaprieta
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Núria Russiñol
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Roser Vilarrasa-Blasi
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Núria Verdaguer-Dot
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Joost H A Martens
- Molecular Biology, NCMLS, FNWI, Radboud University, Nijmegen, The Netherlands
| | - Martí Duran-Ferrer
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Marta Kulis
- Fundació Clínic per a la Recerca Biomèdica, Barcelona, Spain
| | - François Serra
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Structural Genomics Group, CNAG-CRG, The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Biola M Javierre
- Nuclear Dynamics Program, Babraham Institute, Babraham Research Campus, Cambridge, UK
| | - Steven W Wingett
- Nuclear Dynamics Program, Babraham Institute, Babraham Research Campus, Cambridge, UK
| | - Guillem Clot
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
| | - Ana C Queirós
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | | | - Julie Blanc
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Marta Gut
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Angelika Merkel
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Simon Heath
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Anna Vlasova
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology and UPF, Barcelona, Spain
| | - Sebastian Ullrich
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology and UPF, Barcelona, Spain
| | - Emilio Palumbo
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology and UPF, Barcelona, Spain
| | - Anna Enjuanes
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
| | - David Martín-García
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
| | - Sílvia Beà
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
| | - Magda Pinyol
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
| | - Marta Aymerich
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Unitat de Hematología, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Romina Royo
- Programa Conjunto de Biología Computacional, Barcelona Supercomputing Center (BSC), Institut de Recerca Biomèdica (IRB), Spanish National Bioinformatics Institute, Universitat de Barcelona, Barcelona, Spain
| | - Montserrat Puiggros
- Programa Conjunto de Biología Computacional, Barcelona Supercomputing Center (BSC), Institut de Recerca Biomèdica (IRB), Spanish National Bioinformatics Institute, Universitat de Barcelona, Barcelona, Spain
| | - David Torrents
- Programa Conjunto de Biología Computacional, Barcelona Supercomputing Center (BSC), Institut de Recerca Biomèdica (IRB), Spanish National Bioinformatics Institute, Universitat de Barcelona, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Avik Datta
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, UK
| | - Ernesto Lowy
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, UK
| | - Myrto Kostadima
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, UK
| | - Maša Roller
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, UK
| | - Laura Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, UK
| | - Xabier Agirre
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Area de Oncología, Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, Pamplona, Spain
| | - Felipe Prosper
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Area de Oncología, Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, Pamplona, Spain
- Clínica Universidad de Navarra, Universidad de Navarra, Pamplona, Spain
| | - Tycho Baumann
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Servicio de Hematología, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Julio Delgado
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Servicio de Hematología, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Armando López-Guillermo
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Servicio de Hematología, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Peter Fraser
- Nuclear Dynamics Program, Babraham Institute, Babraham Research Campus, Cambridge, UK
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | | | - Roderic Guigó
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology and UPF, Barcelona, Spain
| | - Reiner Siebert
- Institute of Human Genetics, University of Ulm and University Hospital of Ulm, Ulm, Germany
| | - Marc A Martí-Renom
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Structural Genomics Group, CNAG-CRG, The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Xose S Puente
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, Oviedo, Spain
| | - Carlos López-Otín
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, Oviedo, Spain
| | - Ivo Gut
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | | | - Elias Campo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
- Fundació Clínic per a la Recerca Biomèdica, Barcelona, Spain
- Hematopathology Section, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Jose I Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer, Universitat de Barcelona, Barcelona, Spain.
- Departament de Fonaments Clinics, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain.
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40
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Matthews BJ, Waxman DJ. Computational prediction of CTCF/cohesin-based intra-TAD loops that insulate chromatin contacts and gene expression in mouse liver. eLife 2018; 7:e34077. [PMID: 29757144 PMCID: PMC5986275 DOI: 10.7554/elife.34077] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 04/30/2018] [Indexed: 12/18/2022] Open
Abstract
CTCF and cohesin are key drivers of 3D-nuclear organization, anchoring the megabase-scale Topologically Associating Domains (TADs) that segment the genome. Here, we present and validate a computational method to predict cohesin-and-CTCF binding sites that form intra-TAD DNA loops. The intra-TAD loop anchors identified are structurally indistinguishable from TAD anchors regarding binding partners, sequence conservation, and resistance to cohesin knockdown; further, the intra-TAD loops retain key functional features of TADs, including chromatin contact insulation, blockage of repressive histone mark spread, and ubiquity across tissues. We propose that intra-TAD loops form by the same loop extrusion mechanism as the larger TAD loops, and that their shorter length enables finer regulatory control in restricting enhancer-promoter interactions, which enables selective, high-level expression of gene targets of super-enhancers and genes located within repressive nuclear compartments. These findings elucidate the role of intra-TAD cohesin-and-CTCF binding in nuclear organization associated with widespread insulation of distal enhancer activity.
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Affiliation(s)
- Bryan J Matthews
- Department of Biology and Bioinformatics ProgramBoston UniversityBostonUnited States
| | - David J Waxman
- Department of Biology and Bioinformatics ProgramBoston UniversityBostonUnited States
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41
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Stodola TJ, Liu P, Liu Y, Vallejos AK, Geurts AM, Greene AS, Liang M. Genome-wide map of proximity linkage to renin proximal promoter in rat. Physiol Genomics 2018. [PMID: 29521603 DOI: 10.1152/physiolgenomics.00132.2017] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
A challenge to understanding enhancer-gene relationships is that enhancers are not always sequentially close to the gene they regulate. Physical proximity mapping through sequencing can provide an unbiased view of the chromatin close to the proximal promoter of the renin gene ( Ren). Our objective was to determine genomic regions that physically interact with the renin proximal promoter, using two different genetic backgrounds, the Dahl salt sensitive and normotensive SS-13BN, which have been shown to have different regulation of plasma renin in vivo. The chromatin conformation capture method with sequencing focused at the Ren proximal promoter in rat-derived cardiac endothelial cells was used. Cells were fixed, chromatin close to the Ren promoter was captured, and fragments were sequenced. The clustering of mapped reads produced a genome-wide map of chromatin in contact with the Ren promoter. The largest number of contacts was found on chromosome 13, the chromosome with Ren, and contacts were found on all other chromosomes except chromosome X. These contacts were significantly enriched with genes positively correlated with Ren expression and with mapped quantitative trait loci associated with blood pressure, cardiovascular, and renal phenotypes. The results were reproducible in an independent biological replicate. The findings reported here represent the first map between a critical cardiovascular gene and physical interacting loci throughout the genome and will provide the basis for several new directions of research.
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Affiliation(s)
- Timothy J Stodola
- Center of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Pengyuan Liu
- Center of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.,Cancer Center, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Yong Liu
- Center of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Andrew K Vallejos
- Department of Biomedical Engineering, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Aron M Geurts
- Center of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Andrew S Greene
- Center of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.,Department of Biomedical Engineering, Medical College of Wisconsin , Milwaukee, Wisconsin
| | - Mingyu Liang
- Center of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin
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42
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Zuin J, Casa V, Pozojevic J, Kolovos P, van den Hout MCGN, van Ijcken WFJ, Parenti I, Braunholz D, Baron Y, Watrin E, Kaiser FJ, Wendt KS. Regulation of the cohesin-loading factor NIPBL: Role of the lncRNA NIPBL-AS1 and identification of a distal enhancer element. PLoS Genet 2017; 13:e1007137. [PMID: 29261648 PMCID: PMC5754091 DOI: 10.1371/journal.pgen.1007137] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Revised: 01/04/2018] [Accepted: 11/28/2017] [Indexed: 12/13/2022] Open
Abstract
Cohesin is crucial for genome stability, cell division, transcription and chromatin organization. Its functions critically depend on NIPBL, the cohesin-loader protein that is found to be mutated in >60% of the cases of Cornelia de Lange syndrome (CdLS). Other mutations are described in the cohesin subunits SMC1A, RAD21, SMC3 and the HDAC8 protein. In 25-30% of CdLS cases no mutation in the known CdLS genes is detected. Until now, functional elements in the noncoding genome were not characterized in the molecular etiology of CdLS and therefore are excluded from mutation screening, although the impact of such mutations has now been recognized for a wide range of diseases. We have identified different elements of the noncoding genome involved in regulation of the NIPBL gene. NIPBL-AS1 is a long non-coding RNA transcribed upstream and antisense to NIPBL. By knockdown and transcription blocking experiments, we could show that not the NIPBL-AS1 gene product, but its actual transcription is important to regulate NIPBL expression levels. This reveals a possibility to boost the transcriptional activity of the NIPBL gene by interfering with the NIPBL-AS1 lncRNA. Further, we have identified a novel distal enhancer regulating both NIPBL and NIPBL-AS1. Deletion of the enhancer using CRISPR genome editing in HEK293T cells reduces expression of NIPBL, NIPBL-AS1 as well as genes found to be dysregulated in CdLS.
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MESH Headings
- Cell Cycle Proteins/genetics
- Cell Cycle Proteins/metabolism
- Chromosomal Proteins, Non-Histone/genetics
- Chromosomal Proteins, Non-Histone/metabolism
- Chromosome Segregation
- De Lange Syndrome/genetics
- Enhancer Elements, Genetic
- Gene Expression Regulation
- Genome, Human
- HEK293 Cells
- Humans
- Mutation
- Oligonucleotides, Antisense/genetics
- Oligonucleotides, Antisense/metabolism
- Phenotype
- Promoter Regions, Genetic
- Proteins/genetics
- Proteins/metabolism
- RNA, Long Noncoding/genetics
- RNA, Long Noncoding/metabolism
- Sequence Analysis, DNA
- Cohesins
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Affiliation(s)
- Jessica Zuin
- Department of Cell Biology, Erasmus MC, Rotterdam, The Netherlands
| | - Valentina Casa
- Department of Cell Biology, Erasmus MC, Rotterdam, The Netherlands
| | - Jelena Pozojevic
- Section for Functional Genetics at the Institute of Human Genetics, University of Lübeck, Lübeck, Germany
| | - Petros Kolovos
- Department of Cell Biology, Erasmus MC, Rotterdam, The Netherlands
| | | | | | - Ilaria Parenti
- Section for Functional Genetics at the Institute of Human Genetics, University of Lübeck, Lübeck, Germany
| | | | - Yorann Baron
- Centre National de la Recherche Scientifique, UMR 6290, Rennes, France
- Institut de Génétique et Développement de Rennes, Faculté de Médecine, Rennes, France
| | - Erwan Watrin
- Centre National de la Recherche Scientifique, UMR 6290, Rennes, France
- Institut de Génétique et Développement de Rennes, Faculté de Médecine, Rennes, France
| | - Frank J. Kaiser
- Section for Functional Genetics at the Institute of Human Genetics, University of Lübeck, Lübeck, Germany
| | - Kerstin S. Wendt
- Department of Cell Biology, Erasmus MC, Rotterdam, The Netherlands
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43
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Yao X, Tan J, Lim KJ, Koh J, Ooi WF, Li Z, Huang D, Xing M, Chan YS, Qu JZ, Tay ST, Wijaya G, Lam YN, Hong JH, Lee-Lim AP, Guan P, Ng MSW, He CZ, Lin JS, Nandi T, Qamra A, Xu C, Myint SS, Davies JOJ, Goh JY, Loh G, Tan BC, Rozen SG, Yu Q, Tan IBH, Cheng CWS, Li S, Chang KTE, Tan PH, Silver DL, Lezhava A, Steger G, Hughes JR, Teh BT, Tan P. VHL Deficiency Drives Enhancer Activation of Oncogenes in Clear Cell Renal Cell Carcinoma. Cancer Discov 2017; 7:1284-1305. [DOI: 10.1158/2159-8290.cd-17-0375] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Revised: 07/19/2017] [Accepted: 08/25/2017] [Indexed: 11/16/2022]
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44
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Genome-wide characterization of mammalian promoters with distal enhancer functions. Nat Genet 2017; 49:1073-1081. [PMID: 28581502 DOI: 10.1038/ng.3884] [Citation(s) in RCA: 168] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 05/01/2017] [Indexed: 12/15/2022]
Abstract
Gene expression in mammals is precisely regulated by the combination of promoters and gene-distal regulatory regions, known as enhancers. Several studies have suggested that some promoters might have enhancer functions. However, the extent of this type of promoters and whether they actually function to regulate the expression of distal genes have remained elusive. Here, by exploiting a high-throughput enhancer reporter assay, we unravel a set of mammalian promoters displaying enhancer activity. These promoters have distinct genomic and epigenomic features and frequently interact with other gene promoters. Extensive CRISPR-Cas9 genomic manipulation demonstrated the involvement of these promoters in the cis regulation of expression of distal genes in their natural loci. Our results have important implications for the understanding of complex gene regulation in normal development and disease.
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45
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Cao F, Fang Y, Tan HK, Goh Y, Choy JYH, Koh BTH, Hao Tan J, Bertin N, Ramadass A, Hunter E, Green J, Salter M, Akoulitchev A, Wang W, Chng WJ, Tenen DG, Fullwood MJ. Super-Enhancers and Broad H3K4me3 Domains Form Complex Gene Regulatory Circuits Involving Chromatin Interactions. Sci Rep 2017; 7:2186. [PMID: 28526829 PMCID: PMC5438348 DOI: 10.1038/s41598-017-02257-3] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 04/19/2017] [Indexed: 12/21/2022] Open
Abstract
Stretched histone regions, such as super-enhancers and broad H3K4me3 domains, are associated with maintenance of cell identity and cancer. We connected super-enhancers and broad H3K4me3 domains in the K562 chronic myelogenous leukemia cell line as well as the MCF-7 breast cancer cell line with chromatin interactions. Super-enhancers and broad H3K4me3 domains showed higher association with chromatin interactions than their typical counterparts. Interestingly, we identified a subset of super-enhancers that overlap with broad H3K4me3 domains and show high association with cancer-associated genes including tumor suppressor genes. Besides cell lines, we could observe chromatin interactions by a Chromosome Conformation Capture (3C)-based method, in primary human samples. Several chromatin interactions involving super-enhancers and broad H3K4me3 domains are constitutive and can be found in both cancer and normal samples. Taken together, these results reveal a new layer of complexity in gene regulation by super-enhancers and broad H3K4me3 domains.
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Affiliation(s)
- Fan Cao
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Yiwen Fang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Hong Kee Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Yufen Goh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Jocelyn Yeen Hui Choy
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Bryan Thean Howe Koh
- Department of Orthopedic Surgery, National University Health Systems (NUHS), Singapore, Singapore
| | - Jiong Hao Tan
- Department of Orthopedic Surgery, National University Health Systems (NUHS), Singapore, Singapore
| | - Nicolas Bertin
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Human Longevity Singapore Pte. Ltd., Singapore, Singapore
| | | | | | | | | | | | - Wilson Wang
- Department of Orthopedic Surgery, National University Health Systems (NUHS), Singapore, Singapore
| | - Wee Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,National University Cancer Institute, National University Health System, Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Daniel G Tenen
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Melissa J Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. .,School of Biological Sciences, Nanyang Technological University, Singapore, Singapore. .,Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. .,Yale-NUS Liberal Arts College, Singapore, Singapore.
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46
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Cruz-Molina S, Respuela P, Tebartz C, Kolovos P, Nikolic M, Fueyo R, van Ijcken WF, Grosveld F, Frommolt P, Bazzi H, Rada-Iglesias A. PRC2 Facilitates the Regulatory Topology Required for Poised Enhancer Function during Pluripotent Stem Cell Differentiation. Cell Stem Cell 2017; 20:689-705.e9. [DOI: 10.1016/j.stem.2017.02.004] [Citation(s) in RCA: 151] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2016] [Revised: 12/19/2016] [Accepted: 02/07/2017] [Indexed: 01/28/2023]
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47
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Liu NQ, ter Huurne M, Nguyen LN, Peng T, Wang SY, Studd JB, Joshi O, Ongen H, Bramsen JB, Yan J, Andersen CL, Taipale J, Dermitzakis ET, Houlston RS, Hubner NC, Stunnenberg HG. The non-coding variant rs1800734 enhances DCLK3 expression through long-range interaction and promotes colorectal cancer progression. Nat Commun 2017; 8:14418. [PMID: 28195176 PMCID: PMC5316867 DOI: 10.1038/ncomms14418] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 12/28/2016] [Indexed: 01/02/2023] Open
Abstract
Genome-wide association studies have identified a great number of non-coding risk variants for colorectal cancer (CRC). To date, the majority of these variants have not been functionally studied. Identification of allele-specific transcription factor (TF) binding is of great importance to understand regulatory consequences of such variants. A recently developed proteome-wide analysis of disease-associated SNPs (PWAS) enables identification of TF-DNA interactions in an unbiased manner. Here we perform a large-scale PWAS study to comprehensively characterize TF-binding landscape that is associated with CRC, which identifies 731 allele-specific TF binding at 116 CRC risk loci. This screen identifies the A-allele of rs1800734 within the promoter region of MLH1 as perturbing the binding of TFAP4 and consequently increasing DCLK3 expression through a long-range interaction, which promotes cancer malignancy through enhancing expression of the genes related to epithelial-to-mesenchymal transition.
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Affiliation(s)
- Ning Qing Liu
- Faculty of Science, Department of Molecular Biology, Radboud University, RIMLS, PO BOX 9101, 6500HB Nijmegen, The Netherlands
| | - Menno ter Huurne
- Faculty of Science, Department of Molecular Biology, Radboud University, RIMLS, PO BOX 9101, 6500HB Nijmegen, The Netherlands
| | - Luan N. Nguyen
- Faculty of Science, Department of Molecular Biology, Radboud University, RIMLS, PO BOX 9101, 6500HB Nijmegen, The Netherlands
| | - Tianran Peng
- Faculty of Science, Department of Molecular Biology, Radboud University, RIMLS, PO BOX 9101, 6500HB Nijmegen, The Netherlands
| | - Shuang-Yin Wang
- Faculty of Science, Department of Molecular Biology, Radboud University, RIMLS, PO BOX 9101, 6500HB Nijmegen, The Netherlands
| | - James B. Studd
- Division of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG Surrey, UK
| | - Onkar Joshi
- Faculty of Science, Department of Molecular Biology, Radboud University, RIMLS, PO BOX 9101, 6500HB Nijmegen, The Netherlands
| | - Halit Ongen
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva 1211, Switzerland
| | - Jesper B Bramsen
- Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, DK-8200 Aarhus, Denmark
| | - Jian Yan
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE 141 83 Stockholm, Sweden
- Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Claus L. Andersen
- Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, DK-8200 Aarhus, Denmark
| | - Jussi Taipale
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE 141 83 Stockholm, Sweden
| | - Emmanouil T. Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva 1211, Switzerland
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG Surrey, UK
| | - Nina C. Hubner
- Faculty of Science, Department of Molecular Biology, Radboud University, RIMLS, PO BOX 9101, 6500HB Nijmegen, The Netherlands
| | - Hendrik G. Stunnenberg
- Faculty of Science, Department of Molecular Biology, Radboud University, RIMLS, PO BOX 9101, 6500HB Nijmegen, The Netherlands
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48
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Brouwer RWW, van den Hout MCGN, van IJcken WFJ, Soler E, Stadhouders R. Unbiased Interrogation of 3D Genome Topology Using Chromosome Conformation Capture Coupled to High-Throughput Sequencing (4C-Seq). Methods Mol Biol 2017; 1507:199-220. [PMID: 27832542 DOI: 10.1007/978-1-4939-6518-2_15] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The development and widespread implementation of chromosome conformation capture (3C) technology has allowed unprecedented new insight into how chromosomes are folded in three-dimensional (3D) space. 3C and its derivatives have contributed tremendously to the now widely accepted view that genome topology plays an important role in many major cellular processes, at a chromosome-wide scale, but certainly also at the level of individual genetic loci. A particularly popular application of 3C technology is to study transcriptional regulation, allowing researchers to draw maps of gene regulatory connections beyond the linear genome through addition of the third dimension. In this chapter, we provide a highly detailed protocol describing 3C coupled to high-throughput sequencing (referred to as 3C-Seq or more commonly 4C-Seq), allowing the unbiased interrogation of genome-wide chromatin interactions with specific genomic regions of interest. Interactions between spatially clustered DNA fragments are revealed by crosslinking the cells with formaldehyde, digesting the genome with a restriction endonuclease and performing a proximity ligation step to link interacting genomic fragments. Next, interactions with a selected DNA fragment are extracted from the 3C library through a second round of digestion and ligation followed by an inverse PCR. The generated products are immediately compatible with high-throughput sequencing, and amplicons from different PCR reactions can easily be multiplexed to dramatically increase throughput. Finally, we provide suggestions for data analysis and visualization.
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Affiliation(s)
| | | | | | - Eric Soler
- INSERM UMR967, CEA/DRF/iRCM, Université Paris-Diderot, Université Paris-Saclay, Fontenay-aux-Roses, France.
- Laboratory of Excellence GR-Ex, 75015, Paris, France.
- Institute of Molecular Genetics (IGMM), Laboratory of Molecular Hematopoiesis, Montpellier, 34293, France.
| | - Ralph Stadhouders
- Gene Regulation, Stem Cells andCancer Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain.
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49
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Djekidel MN, Wang M, Zhang MQ, Gao J. HiC-3DViewer: a new tool to visualize Hi-C data in 3D space. QUANTITATIVE BIOLOGY 2016. [DOI: 10.1007/s40484-017-0091-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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50
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Ooi WF, Xing M, Xu C, Yao X, Ramlee MK, Lim MC, Cao F, Lim K, Babu D, Poon LF, Lin Suling J, Qamra A, Irwanto A, Qu Zhengzhong J, Nandi T, Lee-Lim AP, Chan YS, Tay ST, Lee MH, Davies JOJ, Wong WK, Soo KC, Chan WH, Ong HS, Chow P, Wong CY, Rha SY, Liu J, Hillmer AM, Hughes JR, Rozen S, Teh BT, Fullwood MJ, Li S, Tan P. Epigenomic profiling of primary gastric adenocarcinoma reveals super-enhancer heterogeneity. Nat Commun 2016; 7:12983. [PMID: 27677335 PMCID: PMC5052795 DOI: 10.1038/ncomms12983] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 08/23/2016] [Indexed: 12/26/2022] Open
Abstract
Regulatory enhancer elements in solid tumours remain poorly characterized. Here we apply micro-scale chromatin profiling to survey the distal enhancer landscape of primary gastric adenocarcinoma (GC), a leading cause of global cancer mortality. Integrating 110 epigenomic profiles from primary GCs, normal gastric tissues and cell lines, we highlight 36,973 predicted enhancers and 3,759 predicted super-enhancers respectively. Cell-line-defined super-enhancers can be subclassified by their somatic alteration status into somatic gain, loss and unaltered categories, each displaying distinct epigenetic, transcriptional and pathway enrichments. Somatic gain super-enhancers are associated with complex chromatin interaction profiles, expression patterns correlated with patient outcome and dense co-occupancy of the transcription factors CDX2 and HNF4α. Somatic super-enhancers are also enriched in genetic risk SNPs associated with cancer predisposition. Our results reveal a genome-wide reprogramming of the GC enhancer and super-enhancer landscape during tumorigenesis, contributing to dysregulated local and regional cancer gene expression.
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Affiliation(s)
- Wen Fong Ooi
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Manjie Xing
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, 5 Lower Kent Ridge Road, Singapore 119074, Singapore
| | - Chang Xu
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore
| | - Xiaosai Yao
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Muhammad Khairul Ramlee
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
| | - Mei Chee Lim
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore
| | - Fan Cao
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore
| | - Kevin Lim
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
| | - Deepak Babu
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore
| | - Lai-Fong Poon
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
| | - Joyce Lin Suling
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Aditi Qamra
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, 2 Medical Drive #04-01, Singapore 117597, Singapore
| | - Astrid Irwanto
- Department of Human Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - James Qu Zhengzhong
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Tannistha Nandi
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Ai Ping Lee-Lim
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Yang Sun Chan
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Su Ting Tay
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
| | - Ming Hui Lee
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
| | - James O. J. Davies
- Medical Research Council (MRC) Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, UK
| | - Wai Keong Wong
- Department of Upper Gastrointestinal & Bariatric Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Khee Chee Soo
- Division of Surgical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610, Singapore
| | - Weng Hoong Chan
- Department of Upper Gastrointestinal & Bariatric Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Hock Soo Ong
- Department of Upper Gastrointestinal & Bariatric Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Pierce Chow
- Division of Surgical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610, Singapore
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Chow Yin Wong
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Sun Young Rha
- Department of Medical Oncology, Yonsei University College of Medicine, Seoul 120-752, South Korea
| | - Jianjun Liu
- Department of Human Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Axel M. Hillmer
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
| | - Jim R. Hughes
- Medical Research Council (MRC) Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, UK
| | - Steve Rozen
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
- SingHealth/Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore 168752, Singapore
| | - Bin Tean Teh
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore
- SingHealth/Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore 168752, Singapore
- Laboratory of Cancer Epigenome, Department of Medical Sciences, National Cancer Centre, 11 Hospital Drive, Singapore 169610, Singapore
| | - Melissa Jane Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Shang Li
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
| | - Patrick Tan
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore 138672, Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore 117599, Singapore
- SingHealth/Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore 168752, Singapore
- Cellular and Molecular Research, National Cancer Centre, 11 Hospital Drive, Singapore 169610, Singapore
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