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Johnston MJ, Lee JJY, Hu B, Nikolic A, Hasheminasabgorji E, Baguette A, Paik S, Chen H, Kumar S, Chen CCL, Jessa S, Balin P, Fong V, Zwaig M, Michealraj KA, Chen X, Zhang Y, Varadharajan S, Billon P, Juretic N, Daniels C, Rao AN, Giannini C, Thompson EM, Garami M, Hauser P, Pocza T, Ra YS, Cho BK, Kim SK, Wang KC, Lee JY, Grajkowska W, Perek-Polnik M, Agnihotri S, Mack S, Ellezam B, Weil A, Rich J, Bourque G, Chan JA, Yong VW, Lupien M, Ragoussis J, Kleinman C, Majewski J, Blanchette M, Jabado N, Taylor MD, Gallo M. TULIPs decorate the three-dimensional genome of PFA ependymoma. Cell 2024; 187:4926-4945.e22. [PMID: 38986619 DOI: 10.1016/j.cell.2024.06.023] [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: 08/27/2021] [Revised: 05/26/2022] [Accepted: 06/18/2024] [Indexed: 07/12/2024]
Abstract
Posterior fossa group A (PFA) ependymoma is a lethal brain cancer diagnosed in infants and young children. The lack of driver events in the PFA linear genome led us to search its 3D genome for characteristic features. Here, we reconstructed 3D genomes from diverse childhood tumor types and uncovered a global topology in PFA that is highly reminiscent of stem and progenitor cells in a variety of human tissues. A remarkable feature exclusively present in PFA are type B ultra long-range interactions in PFAs (TULIPs), regions separated by great distances along the linear genome that interact with each other in the 3D nuclear space with surprising strength. TULIPs occur in all PFA samples and recur at predictable genomic coordinates, and their formation is induced by expression of EZHIP. The universality of TULIPs across PFA samples suggests a conservation of molecular principles that could be exploited therapeutically.
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Affiliation(s)
- Michael J Johnston
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - John J Y Lee
- The Arthur and Sonia Labatt Brain Tumor Research Center, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Bo Hu
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada; Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Ana Nikolic
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Elham Hasheminasabgorji
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Audrey Baguette
- Quantitative Life Sciences, McGill University, Montreal, QC H3A 1B9, Canada
| | - Seungil Paik
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Haifen Chen
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada
| | - Sachin Kumar
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Carol C L Chen
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada
| | - Selin Jessa
- Quantitative Life Sciences, McGill University, Montreal, QC H3A 1B9, Canada
| | - Polina Balin
- The Arthur and Sonia Labatt Brain Tumor Research Center, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Vernon Fong
- The Arthur and Sonia Labatt Brain Tumor Research Center, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Melissa Zwaig
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada
| | | | - Xun Chen
- Department of Anatomy and Cell Biology, Kyoto University, Kyoto 606-8501, Japan
| | - Yanlin Zhang
- School of Computer Science, McGill University, Montreal, QC H3A 2A7, Canada
| | - Srinidhi Varadharajan
- Department of Developmental Neurobiology, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Pierre Billon
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Nikoleta Juretic
- Department of Pediatrics, McGill University and The Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada
| | - Craig Daniels
- The Arthur and Sonia Labatt Brain Tumor Research Center, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
| | | | - Caterina Giannini
- Pediatric Hematology-Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Eric M Thompson
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Miklos Garami
- Department of Pediatrics, Semmelweis University, H-1094 Budapest, Hungary
| | - Peter Hauser
- Department of Pediatrics, Semmelweis University, H-1094 Budapest, Hungary
| | - Timea Pocza
- Department of Pediatrics, Semmelweis University, H-1094 Budapest, Hungary
| | - Young Shin Ra
- Department of Neurosurgery, University of Ulsan, Asan Medical Center, Seoul 05505, South Korea
| | - Byung-Kyu Cho
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul 30322, South Korea
| | - Seung-Ki Kim
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul 30322, South Korea
| | - Kyu-Chang Wang
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul 30322, South Korea
| | - Ji Yeoun Lee
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Seoul National University Children's Hospital, Seoul 30322, South Korea
| | - Wieslawa Grajkowska
- Department of Pathology, The Children's Memorial Health Institute, University of Warsaw, 04-730 Warsaw, Poland
| | - Marta Perek-Polnik
- Department of Oncology, The Children's Memorial Health Institute, University of Warsaw, 04-730 Warsaw, Poland
| | - Sameer Agnihotri
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, United States of America
| | - Stephen Mack
- Department of Developmental Neurobiology, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Benjamin Ellezam
- Department of Pathology, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montreal, QC H3T 1C5, Canada
| | - Alex Weil
- Department of Pediatric Neurosurgery, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montreal, QC H3T 1C5, Canada
| | - Jeremy Rich
- University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA 15213, USA; Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada; McGill Genome Centre, Montreal, QC H3A 0G1, Canada
| | - Jennifer A Chan
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - V Wee Yong
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Mathieu Lupien
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1L7, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada; Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada
| | - Jiannis Ragoussis
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada; McGill Genome Centre, Montreal, QC H3A 0G1, Canada
| | - Claudia Kleinman
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada; Lady Davis Research Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Jacek Majewski
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada
| | - Mathieu Blanchette
- Quantitative Life Sciences, McGill University, Montreal, QC H3A 1B9, Canada; School of Computer Science, McGill University, Montreal, QC H3A 2A7, Canada
| | - Nada Jabado
- Department of Human Genetics, McGill University, Montreal, QC H2A 1B1, Canada; Department of Pediatrics, McGill University and The Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada; Division of Experimental Medicine, Department of Medicine, McGill University, Montreal, QC H3A 3J1, Canada.
| | - Michael D Taylor
- The Arthur and Sonia Labatt Brain Tumor Research Center, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 1L7, Canada; Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Cancer and Hematology Center, Texas Children's Hospital, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Marco Gallo
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada; Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Cancer and Hematology Center, Texas Children's Hospital, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
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2
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Su P, Liu Y, Chen T, Xue Y, Zeng Y, Zhu G, Chen S, Teng M, Ci X, Guo M, He MY, Hao J, Chu V, Xu W, Wang S, Mehdipour P, Xu X, Marhon SA, Soares F, Pham NA, Wu BX, Her PH, Feng S, Alshamlan N, Khalil M, Krishnan R, Yu F, Chen C, Burrows F, Hakem R, Lupien M, Harding S, Lok BH, O'Brien C, Berlin A, De Carvalho DD, Brooks DG, Schramek D, Tsao MS, He HH. In vivo CRISPR screens identify a dual function of MEN1 in regulating tumor-microenvironment interactions. Nat Genet 2024; 56:1890-1902. [PMID: 39227744 PMCID: PMC11387198 DOI: 10.1038/s41588-024-01874-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 07/18/2024] [Indexed: 09/05/2024]
Abstract
Functional genomic screens in two-dimensional cell culture models are limited in identifying therapeutic targets that influence the tumor microenvironment. By comparing targeted CRISPR-Cas9 screens in a two-dimensional culture with xenografts derived from the same cell line, we identified MEN1 as the top hit that confers differential dropout effects in vitro and in vivo. MEN1 knockout in multiple solid cancer types does not impact cell proliferation in vitro but significantly promotes or inhibits tumor growth in immunodeficient or immunocompetent mice, respectively. Mechanistically, MEN1 knockout redistributes MLL1 chromatin occupancy, increasing H3K4me3 at repetitive genomic regions, activating double-stranded RNA expression and increasing neutrophil and CD8+ T cell infiltration in immunodeficient and immunocompetent mice, respectively. Pharmacological inhibition of the menin-MLL interaction reduces tumor growth in a CD8+ T cell-dependent manner. These findings reveal tumor microenvironment-dependent oncogenic and tumor-suppressive functions of MEN1 and provide a rationale for targeting MEN1 in solid cancers.
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Affiliation(s)
- Peiran Su
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Yin Liu
- Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Tianyi Chen
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Yibo Xue
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Yong Zeng
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Guanghui Zhu
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- West China School of Public Health and West China Fourth Hospital, and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
| | - Sujun Chen
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- West China School of Public Health and West China Fourth Hospital, and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
| | - Mona Teng
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Xinpei Ci
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Mengdi Guo
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Michael Y He
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jun Hao
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Vivian Chu
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Wenxi Xu
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Shiyan Wang
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Parinaz Mehdipour
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Xin Xu
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Sajid A Marhon
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Fraser Soares
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Nhu-An Pham
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Bell Xi Wu
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Peter Hyunwuk Her
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Shengrui Feng
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Najd Alshamlan
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Maryam Khalil
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Rehna Krishnan
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Fangyou Yu
- Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | | | - Razqallah Hakem
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Mathieu Lupien
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Shane Harding
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Benjamin H Lok
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Catherine O'Brien
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Alejandro Berlin
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Daniel D De Carvalho
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - David G Brooks
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Schramek
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Ming-Sound Tsao
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
| | - Housheng Hansen He
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
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3
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Huang H, Wu Q. Pushing the TAD boundary: Decoding insulator codes of clustered CTCF sites in 3D genomes. Bioessays 2024:e2400121. [PMID: 39169755 DOI: 10.1002/bies.202400121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 08/07/2024] [Accepted: 08/08/2024] [Indexed: 08/23/2024]
Abstract
Topologically associating domain (TAD) boundaries are the flanking edges of TADs, also known as insulated neighborhoods, within the 3D structure of genomes. A prominent feature of TAD boundaries in mammalian genomes is the enrichment of clustered CTCF sites often with mixed orientations, which can either block or facilitate enhancer-promoter (E-P) interactions within or across distinct TADs, respectively. We will discuss recent progress in the understanding of fundamental organizing principles of the clustered CTCF insulator codes at TAD boundaries. Specifically, both inward- and outward-oriented CTCF sites function as topological chromatin insulators by asymmetrically blocking improper TAD-boundary-crossing cohesin loop extrusion. In addition, boundary stacking and enhancer clustering facilitate long-distance E-P interactions across multiple TADs. Finally, we provide a unified mechanism for RNA-mediated TAD boundary function via R-loop formation for both insulation and facilitation. This mechanism of TAD boundary formation and insulation has interesting implications not only on how the 3D genome folds in the Euclidean nuclear space but also on how the specificity of E-P interactions is developmentally regulated.
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Affiliation(s)
- Haiyan Huang
- Center for Comparative Biomedicine, State Key Laboratory of Medical Genomics, Institute of Systems Biomedicine, Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qiang Wu
- Center for Comparative Biomedicine, State Key Laboratory of Medical Genomics, Institute of Systems Biomedicine, Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
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4
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Chang LH, Noordermeer D. Permeable TAD boundaries and their impact on genome-associated functions. Bioessays 2024:e2400137. [PMID: 39093600 DOI: 10.1002/bies.202400137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 07/12/2024] [Accepted: 07/17/2024] [Indexed: 08/04/2024]
Abstract
TAD boundaries are genomic elements that separate biological processes in neighboring domains by blocking DNA loops that are formed through Cohesin-mediated loop extrusion. Most TAD boundaries consist of arrays of binding sites for the CTCF protein, whose interaction with the Cohesin complex blocks loop extrusion. TAD boundaries are not fully impermeable though and allow a limited amount of inter-TAD loop formation. Based on the reanalysis of Nano-C data, a multicontact Chromosome Conformation Capture assay, we propose a model whereby clustered CTCF binding sites promote the successive stalling of Cohesin and subsequent dissociation from the chromatin. A fraction of Cohesin nonetheless achieves boundary read-through. Due to a constant rate of Cohesin dissociation elsewhere in the genome, the maximum length of inter-TAD loops is restricted though. We speculate that the DNA-encoded organization of stalling sites regulates TAD boundary permeability and discuss implications for enhancer-promoter loop formation and other genomic processes.
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Affiliation(s)
- Li-Hsin Chang
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Blood and Transplant Research Unit in Precision Cellular Therapeutics, National Institute of Health Research, Oxford, UK
| | - Daan Noordermeer
- CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, Gif-sur-Yvette, France
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5
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Ouyang Z, Liu F, Li W, Wang J, Chen B, Zheng Y, Li Y, Tao H, Xu X, Li C, Cong Y, Li H, Bo X, Chen H. The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model. Nucleic Acids Res 2024; 52:7610-7626. [PMID: 38813828 PMCID: PMC11260490 DOI: 10.1093/nar/gkae441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/26/2024] [Accepted: 05/10/2024] [Indexed: 05/31/2024] Open
Abstract
Gene expression is temporally and spatially regulated by the interaction of transcription factors (TFs) and cis-regulatory elements (CREs). The uneven distribution of TF binding sites across the genome poses challenges in understanding how this distribution evolves to regulate spatio-temporal gene expression and consequent heritable phenotypic variation. In this study, chromatin accessibility profiles and gene expression profiles were collected from several species including mammals (human, mouse, bovine), fish (zebrafish and medaka), and chicken. Transcription factor binding sites clustered regions (TFCRs) at different embryonic stages were characterized to investigate regulatory evolution. The study revealed dynamic changes in TFCR distribution during embryonic development and species evolution. The synchronization between TFCR complexity and gene expression was assessed across species using RegulatoryScore. Additionally, an explainable machine learning model highlighted the importance of the distance between TFCR and promoter in the coordinated regulation of TFCRs on gene expression. Our results revealed the developmental and evolutionary dynamics of TFCRs during embryonic development from fish, chicken to mammals. These data provide valuable resources for exploring the relationship between transcriptional regulation and phenotypic differences during embryonic development.
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Affiliation(s)
- Zhangyi Ouyang
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Feng Liu
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China
| | - Wanying Li
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Junting Wang
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Bijia Chen
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Yang Zheng
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Yaru Li
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Huan Tao
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Xiang Xu
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Cheng Li
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing 100871, China
| | - Yuwen Cong
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Hao Li
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Xiaochen Bo
- Academy of Military Medical Sciences, Beijing 100850, China
| | - Hebing Chen
- Academy of Military Medical Sciences, Beijing 100850, China
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6
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Chang LH, Ghosh S, Papale A, Luppino JM, Miranda M, Piras V, Degrouard J, Edouard J, Poncelet M, Lecouvreur N, Bloyer S, Leforestier A, Joyce EF, Holcman D, Noordermeer D. Multi-feature clustering of CTCF binding creates robustness for loop extrusion blocking and Topologically Associating Domain boundaries. Nat Commun 2023; 14:5615. [PMID: 37699887 PMCID: PMC10497529 DOI: 10.1038/s41467-023-41265-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/28/2023] [Indexed: 09/14/2023] Open
Abstract
Topologically Associating Domains (TADs) separate vertebrate genomes into insulated regulatory neighborhoods that focus genome-associated processes. TADs are formed by Cohesin-mediated loop extrusion, with many TAD boundaries consisting of clustered binding sites of the CTCF insulator protein. Here we determine how this clustering of CTCF binding contributes to the blocking of loop extrusion and the insulation between TADs. We identify enrichment of three features of CTCF binding at strong TAD boundaries, consisting of strongly bound and closely spaced CTCF binding peaks, with a further enrichment of DNA-binding motifs within these peaks. Using multi-contact Nano-C analysis in cells with normal and perturbed CTCF binding, we establish that individual CTCF binding sites contribute to the blocking of loop extrusion, but in an incomplete manner. When clustered, individual CTCF binding sites thus create a stepwise insulation between neighboring TADs. Based on these results, we propose a model whereby multiple instances of temporal loop extrusion blocking create strong insulation between TADs.
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Affiliation(s)
- Li-Hsin Chang
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, and National Institute of Health Research, Blood and Transplant Research Unit in Precision Cellular Therapeutics, OX3 9DS, Oxford, UK
| | - Sourav Ghosh
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
- Department of Pathology and Laboratory Medicine, Western University, N6A3K7, London, ON, Canada
| | - Andrea Papale
- École Normale Supérieure, IBENS, Université PSL, 75005, Paris, France
| | - Jennifer M Luppino
- Department of Genetics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mélanie Miranda
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Vincent Piras
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Jéril Degrouard
- Université Paris-Saclay, CNRS, Laboratoire de Physique des Solides (LPS), 91405, Orsay, France
| | - Joanne Edouard
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Mallory Poncelet
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Nathan Lecouvreur
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Sébastien Bloyer
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France
| | - Amélie Leforestier
- Université Paris-Saclay, CNRS, Laboratoire de Physique des Solides (LPS), 91405, Orsay, France
| | - Eric F Joyce
- Department of Genetics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David Holcman
- École Normale Supérieure, IBENS, Université PSL, 75005, Paris, France
- Churchill College, University of Cambridge, CB3 0DS, Cambridge, UK
| | - Daan Noordermeer
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France.
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7
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Rheinberger M, Costa AL, Kampmann M, Glavas D, Shytaj IL, Sreeram S, Penzo C, Tibroni N, Garcia-Mesa Y, Leskov K, Fackler OT, Vlahovicek K, Karn J, Lucic B, Herrmann C, Lusic M. Genomic profiling of HIV-1 integration in microglia cells links viral integration to the topologically associated domains. Cell Rep 2023; 42:112110. [PMID: 36790927 DOI: 10.1016/j.celrep.2023.112110] [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: 06/09/2022] [Revised: 12/15/2022] [Accepted: 01/30/2023] [Indexed: 02/16/2023] Open
Abstract
HIV-1 encounters the hierarchically organized host chromatin to stably integrate and persist in anatomically distinct latent reservoirs. The contribution of genome organization in HIV-1 infection has been largely understudied across different HIV-1 targets. Here, we determine HIV-1 integration sites (ISs), associate them with chromatin and expression signatures at different genomic scales in a microglia cell model, and profile them together with the primary T cell reservoir. HIV-1 insertions into introns of actively transcribed genes with IS hotspots in genic and super-enhancers, characteristic of blood cells, are maintained in the microglia cell model. Genome organization analysis reveals dynamic CCCTC-binding factor (CTCF) clusters in cells with active and repressed HIV-1 transcription, whereas CTCF removal impairs viral integration. We identify CTCF-enriched topologically associated domain (TAD) boundaries with signatures of transcriptionally active chromatin as HIV-1 integration determinants in microglia and CD4+ T cells, highlighting the importance of host genome organization in HIV-1 infection.
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Affiliation(s)
- Mona Rheinberger
- Department of Infectious Diseases, Integrative Virology, Heidelberg University Hospital, 69120 Heidelberg, Germany; German Center for Infection Research (DZIF), 69120 Heidelberg, Germany
| | - Ana Luisa Costa
- Health Data Science Unit, Medical Faculty University Heidelberg and BioQuant, 69120 Heidelberg, Germany
| | - Martin Kampmann
- Department of Infectious Diseases, Integrative Virology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Dunja Glavas
- Bioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia
| | - Iart Luca Shytaj
- Department of Infectious Diseases, Integrative Virology, Heidelberg University Hospital, 69120 Heidelberg, Germany; German Center for Infection Research (DZIF), 69120 Heidelberg, Germany
| | - Sheetal Sreeram
- Department of Molecular Biology and Microbiology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Carlotta Penzo
- Department of Infectious Diseases, Integrative Virology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Nadine Tibroni
- Department of Infectious Diseases, Integrative Virology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Yoelvis Garcia-Mesa
- Department of Molecular Biology and Microbiology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Konstantin Leskov
- Department of Molecular Biology and Microbiology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Oliver T Fackler
- Department of Infectious Diseases, Integrative Virology, Heidelberg University Hospital, 69120 Heidelberg, Germany; German Center for Infection Research (DZIF), 69120 Heidelberg, Germany
| | - Kristian Vlahovicek
- Bioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia
| | - Jonathan Karn
- Department of Molecular Biology and Microbiology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Bojana Lucic
- Department of Infectious Diseases, Integrative Virology, Heidelberg University Hospital, 69120 Heidelberg, Germany; German Center for Infection Research (DZIF), 69120 Heidelberg, Germany.
| | - Carl Herrmann
- Health Data Science Unit, Medical Faculty University Heidelberg and BioQuant, 69120 Heidelberg, Germany.
| | - Marina Lusic
- Department of Infectious Diseases, Integrative Virology, Heidelberg University Hospital, 69120 Heidelberg, Germany; German Center for Infection Research (DZIF), 69120 Heidelberg, Germany.
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8
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Karimzadeh M, Hoffman MM. Virtual ChIP-seq: predicting transcription factor binding by learning from the transcriptome. Genome Biol 2022; 23:126. [PMID: 35681170 PMCID: PMC9185870 DOI: 10.1186/s13059-022-02690-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 05/16/2022] [Indexed: 11/29/2022] Open
Abstract
Existing methods for computational prediction of transcription factor (TF) binding sites evaluate genomic regions with similarity to known TF sequence preferences. Most TF binding sites, however, do not resemble known TF sequence motifs, and many TFs are not sequence-specific. We developed Virtual ChIP-seq, which predicts binding of individual TFs in new cell types, integrating learned associations with gene expression and binding, TF binding sites from other cell types, and chromatin accessibility data in the new cell type. This approach outperforms methods that predict TF binding solely based on sequence preference, predicting binding for 36 TFs (MCC>0.3).
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Affiliation(s)
- Mehran Karimzadeh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Princess Margaret Cancer Centre, Toronto, ON, Canada.,Vector Institute, Toronto, ON, Canada
| | - Michael M Hoffman
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada. .,Princess Margaret Cancer Centre, Toronto, ON, Canada. .,Vector Institute, Toronto, ON, Canada. .,Department of Computer Science, University of Toronto, Toronto, ON, Canada.
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9
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Lorzadeh A, Hammond C, Wang F, Knapp DJHF, Wong JC, Zhu JYA, Cao Q, Heravi-Moussavi A, Carles A, Wong M, Sharafian Z, Steif J, Moksa M, Bilenky M, Lavoie PM, Eaves CJ, Hirst M. Polycomb contraction differentially regulates terminal human hematopoietic differentiation programs. BMC Biol 2022; 20:104. [PMID: 35550087 PMCID: PMC9102747 DOI: 10.1186/s12915-022-01315-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 04/28/2022] [Indexed: 12/05/2022] Open
Abstract
Background Lifelong production of the many types of mature blood cells from less differentiated progenitors is a hierarchically ordered process that spans multiple cell divisions. The nature and timing of the molecular events required to integrate the environmental signals, transcription factor activity, epigenetic modifications, and changes in gene expression involved are thus complex and still poorly understood. To address this gap, we generated comprehensive reference epigenomes of 8 phenotypically defined subsets of normal human cord blood. Results We describe a striking contraction of H3K27me3 density in differentiated myelo-erythroid cells that resembles a punctate pattern previously ascribed to pluripotent embryonic stem cells. Phenotypically distinct progenitor cell types display a nearly identical repressive H3K27me3 signature characterized by large organized chromatin K27-modification domains that are retained by mature lymphoid cells but lost in terminally differentiated monocytes and erythroblasts. We demonstrate that inhibition of polycomb group members predicted to control large organized chromatin K27-modification domains influences lymphoid and myeloid fate decisions of primary neonatal hematopoietic progenitors in vitro. We further show that a majority of active enhancers appear in early progenitors, a subset of which are DNA hypermethylated and become hypomethylated and induced during terminal differentiation. Conclusion Primitive human hematopoietic cells display a unique repressive H3K27me3 signature that is retained by mature lymphoid cells but is lost in monocytes and erythroblasts. Intervention data implicate that control of this chromatin state change is a requisite part of the process whereby normal human hematopoietic progenitor cells make lymphoid and myeloid fate decisions. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-022-01315-1.
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Affiliation(s)
- A Lorzadeh
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - C Hammond
- Terry Fox Laboratory, BC Cancer, Vancouver, Canada.,Department of Medicine, UBC, Vancouver, Canada
| | - F Wang
- Terry Fox Laboratory, BC Cancer, Vancouver, Canada.,Department of Medical Genetics, UBC, Vancouver, Canada
| | - D J H F Knapp
- Terry Fox Laboratory, BC Cancer, Vancouver, Canada.,Department of Medicine, UBC, Vancouver, Canada
| | - J Ch Wong
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - J Y A Zhu
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - Q Cao
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - A Heravi-Moussavi
- Canada's Michael Smith Genome Science Centre, BC Cancer, Vancouver, Canada
| | - A Carles
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - M Wong
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - Z Sharafian
- BC Children's Hospital Research Institute, Department of Pediatrics, UBC, Vancouver, Canada
| | - J Steif
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - M Moksa
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada
| | - M Bilenky
- Canada's Michael Smith Genome Science Centre, BC Cancer, Vancouver, Canada
| | - P M Lavoie
- BC Children's Hospital Research Institute, Department of Pediatrics, UBC, Vancouver, Canada
| | - C J Eaves
- Terry Fox Laboratory, BC Cancer, Vancouver, Canada.,Department of Medicine, UBC, Vancouver, Canada.,Department of Medical Genetics, UBC, Vancouver, Canada
| | - M Hirst
- Department of Microbiology and Immunology, Michael Smith Laboratories, UBC, Vancouver, Canada. .,Canada's Michael Smith Genome Science Centre, BC Cancer, Vancouver, Canada.
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10
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Lynch TR, Xue M, Czerniak CW, Lee C, Kimble J. Notch-dependent DNA cis-regulatory elements and their dose-dependent control of C. elegans stem cell self-renewal. Development 2022; 149:dev200332. [PMID: 35394007 PMCID: PMC9058496 DOI: 10.1242/dev.200332] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 02/16/2022] [Indexed: 11/20/2022]
Abstract
A long-standing biological question is how DNA cis-regulatory elements shape transcriptional patterns during metazoan development. Reporter constructs, cell culture assays and computational modeling have made major contributions to answering this question, but analysis of elements in their natural context is an important complement. Here, we mutate Notch-dependent LAG-1 binding sites (LBSs) in the endogenous Caenorhabditis elegans sygl-1 gene, which encodes a key stem cell regulator, and analyze the consequences on sygl-1 expression (nascent transcripts, mRNA, protein) and stem cell maintenance. Mutation of one LBS in a three-element cluster approximately halved both expression and stem cell pool size, whereas mutation of two LBSs essentially abolished them. Heterozygous LBS mutant clusters provided intermediate values. Our results lead to two major conclusions. First, both LBS number and configuration impact cluster activity: LBSs act additively in trans and synergistically in cis. Second, the SYGL-1 gradient promotes self-renewal above its functional threshold and triggers differentiation below the threshold. Our approach of coupling CRISPR/Cas9 LBS mutations with effects on both molecular and biological readouts establishes a powerful model for in vivo analyses of DNA cis-regulatory elements.
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Affiliation(s)
- Tina R. Lynch
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- Integrated Program in Biochemistry, Madison, WI 53706, USA
| | - Mingyu Xue
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Life Sciences, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - Cazza W. Czerniak
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- Joint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - ChangHwan Lee
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Biological Sciences, University at Albany, State University of New York, Albany, NY 12222, USA
| | - Judith Kimble
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- Integrated Program in Biochemistry, Madison, WI 53706, USA
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11
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Girdhar K, Hoffman GE, Bendl J, Rahman S, Dong P, Liao W, Hauberg ME, Sloofman L, Brown L, Devillers O, Kassim BS, Wiseman JR, Park R, Zharovsky E, Jacobov R, Flatow E, Kozlenkov A, Gilgenast T, Johnson JS, Couto L, Peters MA, Phillips-Cremins JE, Hahn CG, Gur RE, Tamminga CA, Lewis DA, Haroutunian V, Dracheva S, Lipska BK, Marenco S, Kundakovic M, Fullard JF, Jiang Y, Roussos P, Akbarian S. Chromatin domain alterations linked to 3D genome organization in a large cohort of schizophrenia and bipolar disorder brains. Nat Neurosci 2022; 25:474-483. [PMID: 35332326 PMCID: PMC8989650 DOI: 10.1038/s41593-022-01032-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 02/09/2022] [Indexed: 12/19/2022]
Abstract
Chromosomal organization, scaling from the 147-base pair (bp) nucleosome to megabase-ranging domains encompassing multiple transcriptional units, including heritability loci for psychiatric traits, remains largely unexplored in the human brain. In this study, we constructed promoter- and enhancer-enriched nucleosomal histone modification landscapes for adult prefrontal cortex from H3-lysine 27 acetylation and H3-lysine 4 trimethylation profiles, generated from 388 controls and 351 individuals diagnosed with schizophrenia (SCZ) or bipolar disorder (BD) (n = 739). We mapped thousands of cis-regulatory domains (CRDs), revealing fine-grained, 104-106-bp chromosomal organization, firmly integrated into Hi-C topologically associating domain stratification by open/repressive chromosomal environments and nuclear topography. Large clusters of hyper-acetylated CRDs were enriched for SCZ heritability, with prominent representation of regulatory sequences governing fetal development and glutamatergic neuron signaling. Therefore, SCZ and BD brains show coordinated dysregulation of risk-associated regulatory sequences assembled into kilobase- to megabase-scaling chromosomal domains.
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Affiliation(s)
- Kiran Girdhar
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Gabriel E Hoffman
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jaroslav Bendl
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Samir Rahman
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pengfei Dong
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Will Liao
- New York Genome Center, New York, NY, USA
| | - Mads E Hauberg
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Laura Sloofman
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Leanne Brown
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Olivia Devillers
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bibi S Kassim
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer R Wiseman
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Royce Park
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elizabeth Zharovsky
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rivky Jacobov
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elie Flatow
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexey Kozlenkov
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Gilgenast
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Jessica S Johnson
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lizette Couto
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Jennifer E Phillips-Cremins
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Chang-Gyu Hahn
- Department of Psychiatry, Vickie and Jack Farber Institute for Neuroscience, Jefferson University, Philadelphia, PA, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Carol A Tamminga
- Department of Psychiatry, The University of Texas Southwestern Medical School, Dallas, TX, USA
| | - David A Lewis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vahram Haroutunian
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Stella Dracheva
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Barbara K Lipska
- Human Brain Collection Core, National Institute of Mental Health-Intramural Research Program, Bethesda, MD, USA
| | - Stefano Marenco
- Human Brain Collection Core, National Institute of Mental Health-Intramural Research Program, Bethesda, MD, USA
| | - Marija Kundakovic
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - John F Fullard
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yan Jiang
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institutes of Brain Science, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Panos Roussos
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA.
- Center for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
| | - Schahram Akbarian
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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12
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A primary hierarchically organized patient-derived model enables in depth interrogation of stemness driven by the coding and non-coding genome. Leukemia 2022; 36:2690-2704. [PMID: 36131042 PMCID: PMC9613464 DOI: 10.1038/s41375-022-01697-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/23/2022] [Accepted: 09/01/2022] [Indexed: 11/30/2022]
Abstract
Many cancers are organized as cellular hierarchies sustained by cancer stem cells (CSC), whose eradication is crucial for achieving long-term remission. Difficulties to isolate and undertake in vitro and in vivo experimental studies of rare CSC under conditions that preserve their original properties currently constitute a bottleneck for identifying molecular mechanisms involving coding and non-coding genomic regions that govern stemness. We focussed on acute myeloid leukemia (AML) as a paradigm of the CSC model and developed a patient-derived system termed OCI-AML22 that recapitulates the cellular hierarchy driven by leukemia stem cells (LSC). Through classical flow sorting and functional analyses, we established that a single phenotypic population is highly enriched for LSC. The LSC fraction can be easily isolated and serially expanded in culture or in xenografts while faithfully recapitulating functional, transcriptional and epigenetic features of primary LSCs. A novel non-coding regulatory element was identified with a new computational approach using functionally validated primary AML LSC fractions and its role in LSC stemness validated through efficient CRISPR editing using methods optimized for OCI-AML22 LSC. Collectively, OCI-AML22 constitutes a valuable resource to uncover mechanisms governing CSC driven malignancies.
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13
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Puig RR, Boddie P, Khan A, Castro-Mondragon JA, Mathelier A. UniBind: maps of high-confidence direct TF-DNA interactions across nine species. BMC Genomics 2021; 22:482. [PMID: 34174819 PMCID: PMC8236138 DOI: 10.1186/s12864-021-07760-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 05/27/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Transcription factors (TFs) bind specifically to TF binding sites (TFBSs) at cis-regulatory regions to control transcription. It is critical to locate these TF-DNA interactions to understand transcriptional regulation. Efforts to predict bona fide TFBSs benefit from the availability of experimental data mapping DNA binding regions of TFs (chromatin immunoprecipitation followed by sequencing - ChIP-seq). RESULTS In this study, we processed ~ 10,000 public ChIP-seq datasets from nine species to provide high-quality TFBS predictions. After quality control, it culminated with the prediction of ~ 56 million TFBSs with experimental and computational support for direct TF-DNA interactions for 644 TFs in > 1000 cell lines and tissues. These TFBSs were used to predict > 197,000 cis-regulatory modules representing clusters of binding events in the corresponding genomes. The high-quality of the TFBSs was reinforced by their evolutionary conservation, enrichment at active cis-regulatory regions, and capacity to predict combinatorial binding of TFs. Further, we confirmed that the cell type and tissue specificity of enhancer activity was correlated with the number of TFs with binding sites predicted in these regions. All the data is provided to the community through the UniBind database that can be accessed through its web-interface ( https://unibind.uio.no/ ), a dedicated RESTful API, and as genomic tracks. Finally, we provide an enrichment tool, available as a web-service and an R package, for users to find TFs with enriched TFBSs in a set of provided genomic regions. CONCLUSIONS UniBind is the first resource of its kind, providing the largest collection of high-confidence direct TF-DNA interactions in nine species.
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Affiliation(s)
- Rafael Riudavets Puig
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0349, Oslo, Norway
| | - Paul Boddie
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0349, Oslo, Norway
| | - Aziz Khan
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0349, Oslo, Norway
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | | | - Anthony Mathelier
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0349, Oslo, Norway.
- Department of Medical Genetics, Oslo University Hospital, Oslo, 0424, Norway.
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14
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Mer AS, Heath EM, Madani Tonekaboni SA, Dogan-Artun N, Nair SK, Murison A, Garcia-Prat L, Shlush L, Hurren R, Voisin V, Bader GD, Nislow C, Rantalainen M, Lehmann S, Gower M, Guidos CJ, Lupien M, Dick JE, Minden MD, Schimmer AD, Haibe-Kains B. Biological and therapeutic implications of a unique subtype of NPM1 mutated AML. Nat Commun 2021; 12:1054. [PMID: 33594052 PMCID: PMC7886883 DOI: 10.1038/s41467-021-21233-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 01/15/2021] [Indexed: 01/29/2023] Open
Abstract
In acute myeloid leukemia (AML), molecular heterogeneity across patients constitutes a major challenge for prognosis and therapy. AML with NPM1 mutation is a distinct genetic entity in the revised World Health Organization classification. However, differing patterns of co-mutation and response to therapy within this group necessitate further stratification. Here we report two distinct subtypes within NPM1 mutated AML patients, which we label as primitive and committed based on the respective presence or absence of a stem cell signature. Using gene expression (RNA-seq), epigenomic (ATAC-seq) and immunophenotyping (CyToF) analysis, we associate each subtype with specific molecular characteristics, disease differentiation state and patient survival. Using ex vivo drug sensitivity profiling, we show a differential drug response of the subtypes to specific kinase inhibitors, irrespective of the FLT3-ITD status. Differential drug responses of the primitive and committed subtype are validated in an independent AML cohort. Our results highlight heterogeneity among NPM1 mutated AML patient samples based on stemness and suggest that the addition of kinase inhibitors to the treatment of cases with the primitive signature, lacking FLT3-ITD, could have therapeutic benefit.
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Affiliation(s)
- Arvind Singh Mer
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Karolinska Institute, Stockholm, Sweden
| | - Emily M Heath
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Seyed Ali Madani Tonekaboni
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Nergiz Dogan-Artun
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | - Alex Murison
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Laura Garcia-Prat
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Liran Shlush
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Rose Hurren
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | - Gary D Bader
- The Donnelly Centre, University of Toronto, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Corey Nislow
- Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, Canada
| | | | | | - Mark Gower
- The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Mathieu Lupien
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - John E Dick
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Mark D Minden
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Aaron D Schimmer
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
| | - Benjamin Haibe-Kains
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
- Department of Computer Science, University of Toronto, Toronto, ON, Canada.
- Ontario Institute for Cancer Research, Toronto, ON, Canada.
- Vector Institute, Toronto, ON, Canada.
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15
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Zhang J, Yue W, Zhou Y, Liao M, Chen X, Hua J. Super enhancers-Functional cores under the 3D genome. Cell Prolif 2021; 54:e12970. [PMID: 33336467 PMCID: PMC7848964 DOI: 10.1111/cpr.12970] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 11/28/2020] [Accepted: 12/07/2020] [Indexed: 12/13/2022] Open
Abstract
Complex biochemical reactions take place in the nucleus all the time. Transcription machines must follow the rules. The chromatin state, especially the three-dimensional structure of the genome, plays an important role in gene regulation and expression. The super enhancers are important for defining cell identity in mammalian developmental processes and human diseases. It has been shown that the major components of transcriptional activation complexes are recruited by super enhancer to form phase-separated condensates. We summarize the current knowledge about super enhancer in the 3D genome. Furthermore, a new related transcriptional regulation model from super enhancer is outlined to explain its role in the mammalian cell progress.
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Affiliation(s)
- Juqing Zhang
- College of Veterinary MedicineShaanxi Centre of Stem Cells Engineering & TechnologyNorthwest A&F UniversityYanglingChina
| | - Wei Yue
- College of Veterinary MedicineShaanxi Centre of Stem Cells Engineering & TechnologyNorthwest A&F UniversityYanglingChina
| | - Yaqi Zhou
- College of Life ScienceNorthwest A&F UniversityYanglingChina
| | - Mingzhi Liao
- College of Life ScienceNorthwest A&F UniversityYanglingChina
| | - Xingqi Chen
- Department of Immunology, Genetics and PathologyUppsala UniversityUppsalaSweden
| | - Jinlian Hua
- College of Veterinary MedicineShaanxi Centre of Stem Cells Engineering & TechnologyNorthwest A&F UniversityYanglingChina
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16
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Large organized chromatin lysine domains help distinguish primitive from differentiated cell populations. Nat Commun 2021; 12:499. [PMID: 33479238 PMCID: PMC7820432 DOI: 10.1038/s41467-020-20830-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 12/22/2020] [Indexed: 01/04/2023] Open
Abstract
The human genome is partitioned into a collection of genomic features, inclusive of genes, transposable elements, lamina interacting regions, early replicating control elements and cis-regulatory elements, such as promoters, enhancers, and anchors of chromatin interactions. Uneven distribution of these features within chromosomes gives rise to clusters, such as topologically associating domains (TADs), lamina-associated domains, clusters of cis-regulatory elements or large organized chromatin lysine (K) domains (LOCKs). Here we show that LOCKs from diverse histone modifications discriminate primitive from differentiated cell types. Active LOCKs (H3K4me1, H3K4me3 and H3K27ac) cover a higher fraction of the genome in primitive compared to differentiated cell types while repressive LOCKs (H3K9me3, H3K27me3 and H3K36me3) do not. Active LOCKs in differentiated cells lie proximal to highly expressed genes while active LOCKs in primitive cells tend to be bivalent. Genes proximal to bivalent LOCKs are minimally expressed in primitive cells. Furthermore, bivalent LOCKs populate TAD boundaries and are preferentially bound by regulators of chromatin interactions, including CTCF, RAD21 and ZNF143. Together, our results argue that LOCKs discriminate primitive from differentiated cell populations.
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17
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Deblois G, Tonekaboni SAM, Grillo G, Martinez C, Kao YI, Tai F, Ettayebi I, Fortier AM, Savage P, Fedor AN, Liu X, Guilhamon P, Lima-Fernandes E, Murison A, Kuasne H, Ba-alawi W, Cescon DW, Arrowsmith CH, De Carvalho DD, Haibe-Kains B, Locasale JW, Park M, Lupien M. Epigenetic Switch–Induced Viral Mimicry Evasion in Chemotherapy-Resistant Breast Cancer. Cancer Discov 2020; 10:1312-1329. [DOI: 10.1158/2159-8290.cd-19-1493] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/20/2020] [Accepted: 06/09/2020] [Indexed: 11/16/2022]
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18
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Chang LH, Ghosh S, Noordermeer D. TADs and Their Borders: Free Movement or Building a Wall? J Mol Biol 2019; 432:643-652. [PMID: 31887284 DOI: 10.1016/j.jmb.2019.11.025] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 11/01/2019] [Accepted: 11/26/2019] [Indexed: 11/17/2022]
Abstract
The tridimensional (3D) organization of mammalian genomes combines structures from different length scales. Within this organization, Topologically Associating Domains (TADs) are visible in Hi-C heat maps at the sub-megabase scale. The integrity of TADs is important for correct gene expression, but in a context-dependent and variable manner. The correct structure and function of TADs require the binding of the CTCF protein at both borders, which appears to block an active and dynamic mechanism of "Cohesin-mediated loop extrusion." As a result, mammalian TADs appear as so-called "loop domains" in Hi-C data, which are the focus of this review. Here, we present a reanalysis of TADs from three "golden-standard" mammalian Hi-C data sets. Despite the prominent presence of TADs in Hi-C heat maps from all studies, we find consistently that regions within these domains are only moderately insulated from their surroundings. Moreover, single-cell Hi-C and superresolution microscopy have revealed that the structure of TADs and the position of their borders can vary from cell to cell. The function of TADs as units of gene regulation may thus require additional aspects, potentially incorporating the mechanism of loop extrusion as well. Recent developments in single-cell and multi-contact genomics and superresolution microscopy assays will be instrumental to link TAD formation and structure to their function in transcriptional regulation.
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Affiliation(s)
- Li-Hsin Chang
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-sud, University Paris-Saclay, Gif-sur-Yvette, France
| | - Sourav Ghosh
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-sud, University Paris-Saclay, Gif-sur-Yvette, France
| | - Daan Noordermeer
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-sud, University Paris-Saclay, Gif-sur-Yvette, France.
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