1
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Lee KH, Kim J, Kim JH. 3D epigenomics and 3D epigenopathies. BMB Rep 2024; 57:216-231. [PMID: 38627948 PMCID: PMC11139681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/15/2024] [Accepted: 03/18/2024] [Indexed: 05/25/2024] Open
Abstract
Mammalian genomes are intricately compacted to form sophisticated 3-dimensional structures within the tiny nucleus, so called 3D genome folding. Despite their shapes reminiscent of an entangled yarn, the rapid development of molecular and next-generation sequencing technologies (NGS) has revealed that mammalian genomes are highly organized in a hierarchical order that delicately affects transcription activities. An increasing amount of evidence suggests that 3D genome folding is implicated in diseases, giving us a clue on how to identify novel therapeutic approaches. In this review, we will study what 3D genome folding means in epigenetics, what types of 3D genome structures there are, how they are formed, and how the technologies have developed to explore them. We will also discuss the pathological implications of 3D genome folding. Finally, we will discuss how to leverage 3D genome folding and engineering for future studies. [BMB Reports 2024; 57(5): 216-231].
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Affiliation(s)
- Kyung-Hwan Lee
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
| | - Jungyu Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
| | - Ji Hun Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
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2
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Barajas-Mora EM, Feeney AJ. Enhancers within the Ig V Gene Region Orchestrate Chromatin Topology and Regulate V Gene Rearrangement Frequency to Shape the B Cell Receptor Repertoire Specificities. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:1613-1622. [PMID: 37983521 PMCID: PMC10662671 DOI: 10.4049/jimmunol.2300261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/01/2023] [Indexed: 11/22/2023]
Abstract
Effective Ab-mediated responses depend on a highly diverse Ab repertoire with the ability to bind a wide range of epitopes in disease-causing agents. The generation of this repertoire depends on the somatic recombination of the variable (V), diversity (D), and joining (J) genes in the Ig loci of developing B cells. It has been known for some time that individual V, D, and J gene segments rearrange at different frequencies, but the mechanisms behind this unequal V gene usage have not been well understood. However, recent work has revealed that newly described enhancers scattered throughout the V gene-containing portion of the Ig loci regulate the V gene recombination frequency in a regional manner. Deletion of three of these enhancers revealed that these elements exert many layers of control during V(D)J recombination, including long-range chromatin interactions, epigenetic milieu, chromatin accessibility, and compartmentalization.
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Affiliation(s)
- E. Mauricio Barajas-Mora
- Department of Molecular Biology, University of California, San Diego, La Jolla, CA, USA, Current address: Poseida Therapeutics, Inc. San Diego, CA
| | - Ann J. Feeney
- Scripps Research, Department of Immunology and Microbiology, La Jolla, CA 92014
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3
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Wang M, He B, Hao Y, Srinivasan D, Shrinet J, Fraser P. Cellular reprogramming is driven by widespread rewiring of promoter-enhancer interactions. BMC Biol 2023; 21:264. [PMID: 37981682 PMCID: PMC10658794 DOI: 10.1186/s12915-023-01766-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 11/09/2023] [Indexed: 11/21/2023] Open
Abstract
BACKGROUND Long-range interactions between promoters and cis-regulatory elements, such as enhancers, play critical roles in gene regulation. However, the role of three-dimensional (3D) chromatin structure in orchestrating changes in transcriptional regulation during direct cell reprogramming is not fully understood. RESULTS Here, we performed integrated analyses of chromosomal architecture, epigenetics, and gene expression using Hi-C, promoter Capture Hi-C (PCHi-C), ChIP-seq, and RNA-seq during trans-differentiation of Pre-B cells into macrophages with a β-estradiol inducible C/EBPαER transgene. Within 1h of β-estradiol induction, C/EBPα translocated from the cytoplasm to the nucleus, binding to thousands of promoters and putative regulatory elements, resulting in the downregulation of Pre-B cell-specific genes and induction of macrophage-specific genes. Hi-C results were remarkably consistent throughout trans-differentiation, revealing only a small number of TAD boundary location changes, and A/B compartment switches despite significant changes in the expression of thousands of genes. PCHi-C revealed widespread changes in promoter-anchored loops with decreased interactions in parallel with decreased gene expression, and new and increased promoter-anchored interactions in parallel with increased expression of macrophage-specific genes. CONCLUSIONS Overall, our data demonstrate that C/EBPα-induced trans-differentiation involves few changes in genome architecture at the level of TADs and A/B compartments, in contrast with widespread reorganization of thousands of promoter-anchored loops in association with changes in gene expression and cell identity.
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Affiliation(s)
- Miao Wang
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Bing He
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Yueling Hao
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Divyaa Srinivasan
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Jatin Shrinet
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Peter Fraser
- Department of Biological Science, Florida State University, Tallahassee, FL, USA.
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4
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Milevskiy MJ, Coughlan HD, Kane SR, Johanson TM, Kordafshari S, Chan WF, Tsai M, Surgenor E, Wilcox S, Allan RS, Chen Y, Lindeman GJ, Smyth GK, Visvader JE. Three-dimensional genome architecture coordinates key regulators of lineage specification in mammary epithelial cells. CELL GENOMICS 2023; 3:100424. [PMID: 38020976 PMCID: PMC10667557 DOI: 10.1016/j.xgen.2023.100424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/20/2023] [Accepted: 09/20/2023] [Indexed: 12/01/2023]
Abstract
Although lineage-specific genes have been identified in the mammary gland, little is known about the contribution of the 3D genome organization to gene regulation in the epithelium. Here, we describe the chromatin landscape of the three major epithelial subsets through integration of long- and short-range chromatin interactions, accessibility, histone modifications, and gene expression. While basal genes display exquisite lineage specificity via distal enhancers, luminal-specific genes show widespread promoter priming in basal cells. Cell specificity in luminal progenitors is largely mediated through extensive chromatin interactions with super-enhancers in gene-body regions in addition to interactions with polycomb silencer elements. Moreover, lineage-specific transcription factors appear to be controlled through cell-specific chromatin interactivity. Finally, chromatin accessibility rather than interactivity emerged as a defining feature of the activation of quiescent basal stem cells. This work provides a comprehensive resource for understanding the role of higher-order chromatin interactions in cell-fate specification and differentiation in the adult mouse mammary gland.
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Affiliation(s)
- Michael J.G. Milevskiy
- ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Hannah D. Coughlan
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Serena R. Kane
- ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Timothy M. Johanson
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Somayeh Kordafshari
- ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Wing Fuk Chan
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Minhsuang Tsai
- ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Elliot Surgenor
- ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Stephen Wilcox
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Rhys S. Allan
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Yunshun Chen
- ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Geoffrey J. Lindeman
- ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC 3010, Australia
- Parkville Familial Cancer Centre and Department of Medical Oncology, The Royal Melbourne Hospital and Peter MacCallum Cancer Centre, Parkville, VIC 3050, Australia
| | - Gordon K. Smyth
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Jane E. Visvader
- ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia
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5
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Liu Z, Lee DS, Liang Y, Zheng Y, Dixon JR. Foxp3 orchestrates reorganization of chromatin architecture to establish regulatory T cell identity. Nat Commun 2023; 14:6943. [PMID: 37932264 PMCID: PMC10628232 DOI: 10.1038/s41467-023-42647-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 10/09/2023] [Indexed: 11/08/2023] Open
Abstract
Chromatin conformation reorganization is emerging as an important layer of regulation for gene expression and lineage specification. Yet, how lineage-specific transcription factors contribute to the establishment of cell type-specific 3D chromatin architecture in the immune cells remains unclear, especially for the late stages of T cell subset differentiation and maturation. Regulatory T cells (Treg) are mainly generated in the thymus as a subpopulation of T cells specializing in suppressing excessive immune responses. Here, by comprehensively mapping 3D chromatin organization during Treg cell differentiation, we show that Treg-specific chromatin structures were progressively established during its lineage specification, and highly associated with Treg signature gene expression. Additionally, the binding sites of Foxp3, a Treg lineage specifying transcription factor, were highly enriched at Treg-specific chromatin loop anchors. Further comparison of the chromatin interactions between wide-type Tregs versus Treg cells from Foxp3 knock-in/knockout or newly-generated Foxp3 domain-swap mutant mouse revealed that Foxp3 was essential for the establishment of Treg-specific 3D chromatin architecture, although it was not dependent on the formation of the Foxp3 domain-swapped dimer. These results highlighted an underappreciated role of Foxp3 in modulating Treg-specific 3D chromatin structure formation.
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Affiliation(s)
- Zhi Liu
- Shanghai Immune Therapy Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Dong-Sung Lee
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Life Sciences, University of Seoul, Seoul, South Korea
| | - Yuqiong Liang
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Ye Zheng
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Jesse R Dixon
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
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6
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Russ BE, Barugahare A, Dakle P, Tsyganov K, Quon S, Yu B, Li J, Lee JKC, Olshansky M, He Z, Harrison PF, See M, Nussing S, Morey AE, Udupa VA, Bennett TJ, Kallies A, Murre C, Collas P, Powell D, Goldrath AW, Turner SJ. Active maintenance of CD8 + T cell naivety through regulation of global genome architecture. Cell Rep 2023; 42:113301. [PMID: 37858463 PMCID: PMC10679840 DOI: 10.1016/j.celrep.2023.113301] [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: 05/31/2022] [Revised: 08/07/2023] [Accepted: 10/03/2023] [Indexed: 10/21/2023] Open
Abstract
The differentiation of naive CD8+ T lymphocytes into cytotoxic effector and memory CTL results in large-scale changes in transcriptional and phenotypic profiles. Little is known about how large-scale changes in genome organization underpin these transcriptional programs. We use Hi-C to map changes in the spatial organization of long-range genome contacts within naive, effector, and memory virus-specific CD8+ T cells. We observe that the architecture of the naive CD8+ T cell genome is distinct from effector and memory genome configurations, with extensive changes within discrete functional chromatin domains associated with effector/memory differentiation. Deletion of BACH2, or to a lesser extent, reducing SATB1 DNA binding, within naive CD8+ T cells results in a chromatin architecture more reminiscent of effector/memory states. This suggests that key transcription factors within naive CD8+ T cells act to restrain T cell differentiation by actively enforcing a unique naive chromatin state.
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Affiliation(s)
- Brendan E Russ
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia.
| | - Adele Barugahare
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia; Bioinformatics Platform, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Pushkar Dakle
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Kirril Tsyganov
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia; Bioinformatics Platform, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Sara Quon
- Department of Biological Sciences, University of California, San Diego, San Diego, CA, USA
| | - Bingfei Yu
- Department of Biological Sciences, University of California, San Diego, San Diego, CA, USA
| | - Jasmine Li
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia; Department of Molecular Biology, University of California, San Diego, San Diego, CA, USA
| | - Jason K C Lee
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Moshe Olshansky
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Zhaohren He
- Department of Molecular Biology, University of California, San Diego, San Diego, CA, USA
| | - Paul F Harrison
- Bioinformatics Platform, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Michael See
- Bioinformatics Platform, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Simone Nussing
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Alison E Morey
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Vibha A Udupa
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Taylah J Bennett
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Axel Kallies
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia
| | - Cornelis Murre
- Department of Molecular Biology, University of California, San Diego, San Diego, CA, USA
| | - Phillipe Collas
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Department of Immunology and Transfusion Medicine, Oslo University Hospital, Oslo, Norway
| | - David Powell
- Bioinformatics Platform, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Ananda W Goldrath
- Department of Biological Sciences, University of California, San Diego, San Diego, CA, USA
| | - Stephen J Turner
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University, Clayton, VIC, Australia.
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7
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Korzhenevich J, Janowska I, van der Burg M, Rizzi M. Human and mouse early B cell development: So similar but so different. Immunol Lett 2023; 261:1-12. [PMID: 37442242 DOI: 10.1016/j.imlet.2023.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 06/09/2023] [Accepted: 07/10/2023] [Indexed: 07/15/2023]
Abstract
Early B cell development in the bone marrow ensures the replenishment of the peripheral B cell pool. Immature B cells continuously develop from hematopoietic stem cells, in a process guided by an intricate network of transcription factors as well as chemokine and cytokine signals. Humans and mice possess somewhat similar regulatory mechanisms of B lymphopoiesis. The continuous discovery of monogenetic defects that impact early B cell development in humans substantiates the similarities and differences with B cell development in mice. These differences become relevant when targeted therapeutic approaches are used in patients; therefore, predicting potential immunological adverse events is crucial. In this review, we have provided a phenotypical classification of human and murine early progenitors and B cell stages, based on surface and intracellular protein expression. Further, we have critically compared the role of key transcription factors (Ikaros, E2A, EBF1, PAX5, and Aiolos) and chemo- or cytokine signals (FLT3, c-kit, IL-7R, and CXCR4) during homeostatic and aberrant B lymphopoiesis in both humans and mice.
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Affiliation(s)
- Jakov Korzhenevich
- Division of Clinical and Experimental Immunology, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090, Vienna, Austria
| | - Iga Janowska
- Department of Rheumatology and Clinical Immunology, Freiburg University Medical Center, University of Freiburg, 79106, Freiburg, Germany
| | - Mirjam van der Burg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children's Hospital, Leiden University Medical Center, 2333, ZA Leiden, The Netherlands
| | - Marta Rizzi
- Division of Clinical and Experimental Immunology, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090, Vienna, Austria; Department of Rheumatology and Clinical Immunology, Freiburg University Medical Center, University of Freiburg, 79106, Freiburg, Germany; Center for Chronic Immunodeficiency, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, 79106, Freiburg, Germany; CIBSS - Centre for Integrative Biological Signalling Studies, University of Freiburg, 79104, Freiburg, Germany.
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8
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Christou-Kent M, Cuartero S, Garcia-Cabau C, Ruehle J, Naderi J, Erber J, Neguembor MV, Plana-Carmona M, Alcoverro-Bertran M, De Andres-Aguayo L, Klonizakis A, Julià-Vilella E, Lynch C, Serrano M, Hnisz D, Salvatella X, Graf T, Stik G. CEBPA phase separation links transcriptional activity and 3D chromatin hubs. Cell Rep 2023; 42:112897. [PMID: 37516962 DOI: 10.1016/j.celrep.2023.112897] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 06/02/2023] [Accepted: 07/14/2023] [Indexed: 08/01/2023] Open
Abstract
Cell identity is orchestrated through an interplay between transcription factor (TF) action and genome architecture. The mechanisms used by TFs to shape three-dimensional (3D) genome organization remain incompletely understood. Here we present evidence that the lineage-instructive TF CEBPA drives extensive chromatin compartment switching and promotes the formation of long-range chromatin hubs during induced B cell-to-macrophage transdifferentiation. Mechanistically, we find that the intrinsically disordered region (IDR) of CEBPA undergoes in vitro phase separation (PS) dependent on aromatic residues. Both overexpressing B cells and native CEBPA-expressing cell types such as primary granulocyte-macrophage progenitors, liver cells, and trophectoderm cells reveal nuclear CEBPA foci and long-range 3D chromatin hubs at CEBPA-bound regions. In short, we show that CEBPA can undergo PS through its IDR, which may underlie in vivo foci formation and suggest a potential role of PS in regulating CEBPA function.
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Affiliation(s)
- Marie Christou-Kent
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Sergi Cuartero
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain; Germans Trias I Pujol Research Institute (IGTP), Badalona, Spain
| | - Carla Garcia-Cabau
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac 10, 08028 Barcelona, Spain
| | - Julia Ruehle
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Julian Naderi
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Julia Erber
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Maria Victoria Neguembor
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Marcos Plana-Carmona
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain
| | | | - Luisa De Andres-Aguayo
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Antonios Klonizakis
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain
| | | | - Cian Lynch
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac 10, 08028 Barcelona, Spain; Altos Labs, Cambridge Institute of Science, Cambridge CB21 6GP, UK
| | - Manuel Serrano
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac 10, 08028 Barcelona, Spain; Altos Labs, Cambridge Institute of Science, Cambridge CB21 6GP, UK
| | - Denes Hnisz
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
| | - Xavier Salvatella
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac 10, 08028 Barcelona, Spain; ICREA, Passeig Lluís Companys 23, 08010 Barcelona, Spain
| | - Thomas Graf
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Grégoire Stik
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain.
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9
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Chandra A, Yoon S, Michieletto MF, Goldman N, Ferrari EK, Abedi M, Johnson I, Fasolino M, Pham K, Joannas L, Kee BL, Henao-Mejia J, Vahedi G. Quantitative control of Ets1 dosage by a multi-enhancer hub promotes Th1 cell differentiation and protects from allergic inflammation. Immunity 2023; 56:1451-1467.e12. [PMID: 37263273 PMCID: PMC10979463 DOI: 10.1016/j.immuni.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 05/06/2023] [Accepted: 05/08/2023] [Indexed: 06/03/2023]
Abstract
Multi-enhancer hubs are spatial clusters of enhancers present across numerous developmental programs. Here, we studied the functional relevance of these three-dimensional structures in T cell biology. Mathematical modeling identified a highly connected multi-enhancer hub at the Ets1 locus, comprising a noncoding regulatory element that was a hotspot for sequence variation associated with allergic disease in humans. Deletion of this regulatory element in mice revealed that the multi-enhancer connectivity was dispensable for T cell development but required for CD4+ T helper 1 (Th1) differentiation. These mice were protected from Th1-mediated colitis but exhibited overt allergic responses. Mechanistically, the multi-enhancer hub controlled the dosage of Ets1 that was required for CTCF recruitment and assembly of Th1-specific genome topology. Our findings establish a paradigm wherein multi-enhancer hubs control cellular competence to respond to an inductive cue through quantitative control of gene dosage and provide insight into how sequence variation within noncoding elements at the Ets1 locus predisposes individuals to allergic responses.
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Affiliation(s)
- Aditi Chandra
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sora Yoon
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michaël F Michieletto
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Naomi Goldman
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Emily K Ferrari
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Maryam Abedi
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Isabelle Johnson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Maria Fasolino
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kenneth Pham
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Leonel Joannas
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Barbara L Kee
- Department of Pathology, Committees on Cancer Biology and Immunology, University of Chicago, Chicago, IL 60637, USA
| | - Jorge Henao-Mejia
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Division of Protective Immunity, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Golnaz Vahedi
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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10
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Qiu Y, Feng D, Jiang W, Zhang T, Lu Q, Zhao M. 3D genome organization and epigenetic regulation in autoimmune diseases. Front Immunol 2023; 14:1196123. [PMID: 37346038 PMCID: PMC10279977 DOI: 10.3389/fimmu.2023.1196123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/17/2023] [Indexed: 06/23/2023] Open
Abstract
Three-dimensional (3D) genomics is an emerging field of research that investigates the relationship between gene regulatory function and the spatial structure of chromatin. Chromatin folding can be studied using chromosome conformation capture (3C) technology and 3C-based derivative sequencing technologies, including chromosome conformation capture-on-chip (4C), chromosome conformation capture carbon copy (5C), and high-throughput chromosome conformation capture (Hi-C), which allow scientists to capture 3D conformations from a single site to the entire genome. A comprehensive analysis of the relationships between various regulatory components and gene function also requires the integration of multi-omics data such as genomics, transcriptomics, and epigenomics. 3D genome folding is involved in immune cell differentiation, activation, and dysfunction and participates in a wide range of diseases, including autoimmune diseases. We describe hierarchical 3D chromatin organization in this review and conclude with characteristics of C-techniques and multi-omics applications of the 3D genome. In addition, we describe the relationship between 3D genome structure and the differentiation and maturation of immune cells and address how changes in chromosome folding contribute to autoimmune diseases.
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Affiliation(s)
- Yueqi Qiu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
| | - Delong Feng
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wenjuan Jiang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
| | - Tingting Zhang
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
- State Key Laboratory of Natural Medicines, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Qianjin Lu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ming Zhao
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences, Nanjing, China
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
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11
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Sanalkumar R, Dong R, Lee L, Xing YH, Iyer S, Letovanec I, La Rosa S, Finzi G, Musolino E, Papait R, Chebib I, Nielsen GP, Renella R, Cote GM, Choy E, Aryee M, Stegmaier K, Stamenkovic I, Rivera MN, Riggi N. Highly connected 3D chromatin networks established by an oncogenic fusion protein shape tumor cell identity. SCIENCE ADVANCES 2023; 9:eabo3789. [PMID: 37000878 DOI: 10.1126/sciadv.abo3789] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 01/18/2023] [Indexed: 06/19/2023]
Abstract
Cell fate transitions observed in embryonic development involve changes in three-dimensional genomic organization that provide proper lineage specification. Whether similar events occur within tumor cells and contribute to cancer evolution remains largely unexplored. We modeled this process in the pediatric cancer Ewing sarcoma and investigated high-resolution looping and large-scale nuclear conformation changes associated with the oncogenic fusion protein EWS-FLI1. We show that chromatin interactions in tumor cells are dominated by highly connected looping hubs centered on EWS-FLI1 binding sites, which directly control the activity of linked enhancers and promoters to establish oncogenic expression programs. Conversely, EWS-FLI1 depletion led to the disassembly of these looping networks and a widespread nuclear reorganization through the establishment of new looping patterns and large-scale compartment configuration matching those observed in mesenchymal stem cells, a candidate Ewing sarcoma progenitor. Our data demonstrate that major architectural features of nuclear organization in cancer cells can depend on single oncogenes and are readily reversed to reestablish latent differentiation programs.
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Affiliation(s)
- Rajendran Sanalkumar
- Experimental Pathology Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Rui Dong
- Department of Pathology and Cancer Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Lukuo Lee
- Department of Pathology and Cancer Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Yu-Hang Xing
- Department of Pathology and Cancer Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Sowmya Iyer
- Department of Pathology and Cancer Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Igor Letovanec
- Department of Histopathology, Central Institute, Valais Hospital, Sion, Switzerland
- Institute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Stefano La Rosa
- Institute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Pathology Unit, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Giovanna Finzi
- Department of Pathology, ASST Sette Laghi, Varese, Italy
| | - Elettra Musolino
- Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| | - Roberto Papait
- Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
- IRCSS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milan, Italy
| | - Ivan Chebib
- Department of Pathology and Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - G Petur Nielsen
- Department of Pathology and Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Raffaele Renella
- Department Woman-Mother-Child, Division of Pediatrics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Gregory M Cote
- Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Edwin Choy
- Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - Martin Aryee
- Department of Pathology and Cancer Center, Massachusetts General Hospital, Charlestown, MA, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Kimberly Stegmaier
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Ivan Stamenkovic
- Experimental Pathology Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Miguel N Rivera
- Department of Pathology and Cancer Center, Massachusetts General Hospital, Charlestown, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Nicolò Riggi
- Experimental Pathology Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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12
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Liu Z, Lee DS, Liang Y, Zheng Y, Dixon JR. Foxp3 Orchestrates Reorganization of Chromatin Architecture to Establish Regulatory T Cell Identity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.22.529589. [PMID: 36865315 PMCID: PMC9980151 DOI: 10.1101/2023.02.22.529589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Chromatin conformation reorganization is emerging as an important layer of regulation for gene expression and lineage specification. Yet, how lineage-specific transcription factors contribute to the establishment of cell type-specific 3D chromatin architecture in the immune cells remains unclear, especially for the late stages of T cell subset differentiation and maturation. Regulatory T cells (Treg) are mainly generated in the thymus as a subpopulation of T cells specializing in suppressing excessive immune responses. Here, by comprehensively mapping 3D chromatin organization during Treg cell differentiation, we show that Treg-specific chromatin structures were progressively established during its lineage specification, and highly associated with Treg signature gene expression. Additionally, the binding sites of Foxp3, a Treg lineage specifying transcription factor, were highly enriched at Treg-specific chromatin loop anchors. Further comparison of the chromatin interactions between wide-type Tregs versus Treg cells from Foxp3 knock-in/knockout or newly-generated Foxp3 domain-swap mutant mouse revealed that Foxp3 was essential for the establishment of Treg-specific 3D chromatin architecture, although it was not dependent on the formation of the Foxp3 domain-swapped dimer. These results highlighted an underappreciated role of Foxp3 in modulating Treg-specific 3D chromatin structure formation.
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Affiliation(s)
- Zhi Liu
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, La Jolla, CA, USA
- Shanghai Immune Therapy Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dong-Sung Lee
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Life Sciences, University of Seoul, Seoul, South Korea
| | - Yuqiong Liang
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Ye Zheng
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Jesse R Dixon
- Gene Expression Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
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13
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Russ BE, Tsyganov K, Quon S, Yu B, Li J, Lee JKC, Olshansky M, He Z, Harrison PF, Barugahare A, See M, Nussing S, Morey AE, Udupa VA, Bennett T.J, Kallies A, Murre C, Collas P, Powell D, Goldrath AW, Turner SJ. Active maintenance of CD8 + T cell naïvety through regulation of global genome architecture. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.26.530139. [PMID: 36909629 PMCID: PMC10002700 DOI: 10.1101/2023.02.26.530139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
The differentiation of naïve CD8+ cytotoxic T lymphocytes (CTLs) into effector and memory states results in large scale changes in transcriptional and phenotypic profiles. Little is known about how large-scale changes in genome organisation reflect or underpin these transcriptional programs. We utilised Hi-C to map changes in the spatial organisation of long-range genome contacts within naïve, effector and memory virus-specific CD8+ T cells. We observed that the architecture of the naive CD8+ T cell genome was distinct from effector and memory genome configurations with extensive changes within discrete functional chromatin domains. However, deletion of the BACH2 or SATB1 transcription factors was sufficient to remodel the naïve chromatin architecture and engage transcriptional programs characteristic of differentiated cells. This suggests that the chromatin architecture within naïve CD8+ T cells is preconfigured to undergo autonomous remodelling upon activation, with key transcription factors restraining differentiation by actively enforcing the unique naïve chromatin state.
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Affiliation(s)
- Brendan E. Russ
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Kirril Tsyganov
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | - Sara Quon
- Department of Biological Sciences, University of California, San Diego, USA
| | - Bingfei Yu
- Department of Biological Sciences, University of California, San Diego, USA
| | - Jasmine Li
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
- Department of Molecular Biology, University of California, San Diego, USA
| | - Jason K. C. Lee
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Moshe Olshansky
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Zhaohren He
- Department of Molecular Biology, University of California, San Diego, USA
| | - Paul F. Harrison
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | - Adele Barugahare
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | - Michael See
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | | | - Alison E. Morey
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Vibha A. Udupa
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Taylah .J Bennett
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Axel Kallies
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia
| | - Cornelis Murre
- Department of Molecular Biology, University of California, San Diego, USA
| | - Phillipe Collas
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Department of Immunology and Transfusion Medicine, Oslo University Hospital, Oslo, Norway
| | - David Powell
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | - Ananda W. Goldrath
- Department of Biological Sciences, University of California, San Diego, USA
| | - Stephen J. Turner
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
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14
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Barajas-Mora EM, Lee L, Lu H, Valderrama JA, Bjanes E, Nizet V, Feeney AJ, Hu M, Murre C. Enhancer-instructed epigenetic landscape and chromatin compartmentalization dictate a primary antibody repertoire protective against specific bacterial pathogens. Nat Immunol 2023; 24:320-336. [PMID: 36717722 PMCID: PMC10917333 DOI: 10.1038/s41590-022-01402-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 12/06/2022] [Indexed: 01/31/2023]
Abstract
Antigen receptor loci are organized into variable (V), diversity (D) and joining (J) gene segments that rearrange to generate antigen receptor repertoires. Here, we identified an enhancer (E34) in the murine immunoglobulin kappa (Igk) locus that instructed rearrangement of Vκ genes located in a sub-topologically associating domain, including a Vκ gene encoding for antibodies targeting bacterial phosphorylcholine. We show that E34 instructs the nuclear repositioning of the E34 sub-topologically associating domain from a recombination-repressive compartment to a recombination-permissive compartment that is marked by equivalent activating histone modifications. Finally, we found that E34-instructed Vκ-Jκ rearrangement was essential to combat Streptococcus pneumoniae but not methicillin-resistant Staphylococcus aureus or influenza infections. We propose that the merging of Vκ genes with Jκ elements is instructed by one-dimensional epigenetic information imposed by enhancers across Vκ and Jκ genomic regions. The data also reveal how enhancers generate distinct antibody repertoires that provide protection against lethal bacterial infection.
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Affiliation(s)
| | - Lindsay Lee
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Hanbin Lu
- Department of Molecular Biology, University of California, San Diego, La Jolla, CA, USA
| | - J Andrés Valderrama
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Elisabet Bjanes
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Victor Nizet
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, USA
| | - Ann J Feeney
- Department of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA
| | - Ming Hu
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
| | - Cornelis Murre
- Department of Molecular Biology, University of California, San Diego, La Jolla, CA, USA.
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15
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Wang X, Liu S, Yu J. Multi-lineage Differentiation from Hematopoietic Stem Cells. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1442:159-175. [PMID: 38228964 DOI: 10.1007/978-981-99-7471-9_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
The hematopoietic stem cells (HSCs) have the ability to differentiate and give rise to all mature blood cells. Commitment to differentiation progressively limits the self-renewal potential of the original HSCs by regulating the level of lineage-specific gene expression. In this review, we will summarize the current understanding of the molecular mechanisms underlying HSC differentiation toward erythroid, myeloid, and lymphocyte lineages. Moreover, we will decipher how the single-cell technologies advance the lineage-biased HSC subpopulations and their differentiation potential.
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Affiliation(s)
- Xiaoshuang Wang
- The State Key Laboratory for Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences / Peking Union Medical College, Beijing, China.
- The Institute of Blood Transfusion, Chinese Academy of Medical Sciences / Peking Union Medical College, Chengdu, China.
| | - Siqi Liu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences / Peking Union Medical College, Beijing, China
| | - Jia Yu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences / Peking Union Medical College, Beijing, China.
- The Institute of Blood Transfusion, Chinese Academy of Medical Sciences / Peking Union Medical College, Chengdu, China.
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16
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Belcheva KT, Chaudhuri J. Maintenance of Lineage Identity: Lessons from a B Cell. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 209:2073-2081. [PMID: 36426973 DOI: 10.4049/jimmunol.2200497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 08/17/2022] [Indexed: 01/04/2023]
Abstract
The maintenance of B cell identity requires active transcriptional control that enforces a B cell-specific program and suppresses alternative lineage genes. Accordingly, disrupting the B cell identity regulatory network compromises B cell function and induces cell fate plasticity by allowing derepression of alternative lineage-specific transcriptional programs. Although the B lineage is incredibly resistant to most differentiating factors, loss of just a single B lineage-specific transcription factor or the forced expression of individual non-B cell lineage transcription factors can radically disrupt B cell maintenance and allow dedifferentiation or transdifferentiation into entirely distinct lineages. B lymphocytes thereby offer an insightful and useful case study of how a specific cell lineage can maintain a stable identity throughout life and how perturbations of a single master regulator can induce cellular plasticity. In this article, we review the regulatory mechanisms that safeguard B cell identity, and we discuss how dysregulation of the B cell maintenance program can drive malignant transformation and enable therapeutic resistance.
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Affiliation(s)
- Kalina T Belcheva
- Biochemistry, Cellular and Molecular Biology Allied Program, Weill Cornell Graduate School of Medical Sciences, New York, NY; and
| | - Jayanta Chaudhuri
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY
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17
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Lohia R, Fox N, Gillis J. A global high-density chromatin interaction network reveals functional long-range and trans-chromosomal relationships. Genome Biol 2022; 23:238. [PMID: 36352464 PMCID: PMC9647974 DOI: 10.1186/s13059-022-02790-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 10/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chromatin contacts are essential for gene-expression regulation; however, obtaining a high-resolution genome-wide chromatin contact map is still prohibitively expensive owing to large genome sizes and the quadratic scale of pairwise data. Chromosome conformation capture (3C)-based methods such as Hi-C have been extensively used to obtain chromatin contacts. However, since the sparsity of these maps increases with an increase in genomic distance between contacts, long-range or trans-chromatin contacts are especially challenging to sample. RESULTS Here, we create a high-density reference genome-wide chromatin contact map using a meta-analytic approach. We integrate 3600 human, 6700 mouse, and 500 fly Hi-C experiments to create species-specific meta-Hi-C chromatin contact maps with 304 billion, 193 billion, and 19 billion contacts in respective species. We validate that meta-Hi-C contact maps are uniquely powered to capture functional chromatin contacts in both cis and trans. We find that while individual dataset Hi-C networks are largely unable to predict any long-range coexpression (median 0.54 AUC), meta-Hi-C networks perform comparably in both cis and trans (0.65 AUC vs 0.64 AUC). Similarly, for long-range expression quantitative trait loci (eQTL), meta-Hi-C contacts outperform all individual Hi-C experiments, providing an improvement over the conventionally used linear genomic distance-based association. Assessing between species, we find patterns of chromatin contact conservation in both cis and trans and strong associations with coexpression even in species for which Hi-C data is lacking. CONCLUSIONS We have generated an integrated chromatin interaction network which complements a large number of methodological and analytic approaches focused on improved specificity or interpretation. This high-depth "super-experiment" is surprisingly powerful in capturing long-range functional relationships of chromatin interactions, which are now able to predict coexpression, eQTLs, and cross-species relationships. The meta-Hi-C networks are available at https://labshare.cshl.edu/shares/gillislab/resource/HiC/ .
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Affiliation(s)
- Ruchi Lohia
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, USA
| | - Nathan Fox
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, USA
| | - Jesse Gillis
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, USA
- Department of Physiology and Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada
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18
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David K, Friedlander G, Pellegrino B, Radomir L, Lewinsky H, Leng L, Bucala R, Becker-Herman S, Shachar I. CD74 as a regulator of transcription in normal B cells. Cell Rep 2022; 41:111572. [DOI: 10.1016/j.celrep.2022.111572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/07/2022] [Accepted: 10/04/2022] [Indexed: 11/07/2022] Open
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19
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LYL1 facilitates AETFC assembly and gene activation by recruiting CARM1 in t(8;21) AML. Proc Natl Acad Sci U S A 2022; 119:e2213718119. [PMID: 36215477 PMCID: PMC9586329 DOI: 10.1073/pnas.2213718119] [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] Open
Abstract
Transcription factors (TFs) play critical roles in hematopoiesis, and their aberrant expression can lead to various types of leukemia. The t(8;21) leukemogenic fusion protein AML1-ETO (AE) is the most common fusion protein in acute myeloid leukemia and can enhance hematopoietic stem cell renewal while blocking differentiation. A key question in understanding AE-mediated leukemia is what determines the choice of AE to activate self-renewal genes or repress differentiation genes. Toward the resolution of this problem, we earlier showed that AE resides in the stable AETFC complex and that its components colocalize on up- or down-regulated target genes and are essential for leukemogenesis. In the current study, using biochemical and genomic approaches, we show that AE-containing complexes are heterogeneous, and that assembly of the larger AETFC (containing AE, CBFβ, HEB, E2A, LYL1, LMO2, and LDB1) requires LYL1. Furthermore, we provide strong evidence that the LYL1-containing AETFC preferentially binds to active enhancers and promotes AE-dependent gene activation. Moreover, we show that coactivator CARM1 interacts with AETFC and facilitates gene activation by AETFC. Collectively, this study describes a role of oncoprotein LYL1 in AETFC assembly and gene activation by recruiting CARM1 to chromatin for AML cell survival.
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20
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Cuartero S, Stik G, Stadhouders R. Three-dimensional genome organization in immune cell fate and function. Nat Rev Immunol 2022; 23:206-221. [PMID: 36127477 DOI: 10.1038/s41577-022-00774-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2022] [Indexed: 11/09/2022]
Abstract
Immune cell development and activation demand the precise and coordinated control of transcriptional programmes. Three-dimensional (3D) organization of the genome has emerged as an important regulator of chromatin state, transcriptional activity and cell identity by facilitating or impeding long-range genomic interactions among regulatory elements and genes. Chromatin folding thus enables cell type-specific and stimulus-specific transcriptional responses to extracellular signals, which are essential for the control of immune cell fate, for inflammatory responses and for generating a diverse repertoire of antigen receptor specificities. Here, we review recent findings connecting 3D genome organization to the control of immune cell differentiation and function, and discuss how alterations in genome folding may lead to immune dysfunction and malignancy.
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Affiliation(s)
- Sergi Cuartero
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Spain. .,Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
| | - Grégoire Stik
- Centre for Genomic Regulation (CRG), Institute of Science and Technology (BIST), Barcelona, Spain. .,Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Ralph Stadhouders
- Department of Pulmonary Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands. .,Department of Cell Biology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
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21
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Chromatin structure undergoes global and local reorganization during murine dendritic cell development and activation. Proc Natl Acad Sci U S A 2022; 119:e2207009119. [PMID: 35969760 PMCID: PMC9407307 DOI: 10.1073/pnas.2207009119] [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] [Indexed: 12/20/2022] Open
Abstract
Classical dendritic cells (cDCs) are essential for immune responses and differentiate from hematopoietic stem cells via intermediate progenitors, such as monocyte-DC progenitors (MDPs) and common DC progenitors (CDPs). Upon infection, cDCs are activated and rapidly express host defense-related genes, such as those encoding cytokines and chemokines. Chromatin structures, including nuclear compartments and topologically associating domains (TADs), have been implicated in gene regulation. However, the extent and dynamics of their reorganization during cDC development and activation remain unknown. In this study, we comprehensively determined higher-order chromatin structures by Hi-C in DC progenitors and cDC subpopulations. During cDC differentiation, chromatin activation was initially induced at the MDP stage. Subsequently, a shift from inactive to active nuclear compartments occurred at the cDC gene loci in CDPs, which was followed by increased intra-TAD interactions and loop formation. Mechanistically, the transcription factor IRF8, indispensable for cDC differentiation, mediated chromatin activation and changes into the active compartments in DC progenitors, thereby possibly leading to cDC-specific gene induction. Using an infection model, we found that the chromatin structures of host defense-related gene loci were preestablished in unstimulated cDCs, indicating that the formation of higher-order chromatin structures prior to infection may contribute to the rapid responses to pathogens. Overall, these results suggest that chromatin structure reorganization is closely related to the establishment of cDC-specific gene expression and immune functions. This study advances the fundamental understanding of chromatin reorganization in cDC differentiation and activation.
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22
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Papapietro O, Nejentsev S. Topoisomerase 2β and DNA topology during B cell development. Front Immunol 2022; 13:982870. [PMID: 36045673 PMCID: PMC9423374 DOI: 10.3389/fimmu.2022.982870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Topoisomerase 2β (TOP2B) introduces transient double strand breaks in the DNA helix to remove supercoiling structures and unwind entangled DNA strains. Advances in genomic technologies have enabled the discovery of novel functions for TOP2B in processes such as releasing of the paused RNA polymerase II and maintaining the genome organization through DNA loop domains. Thus, TOP2B can regulate transcription directly by acting on transcription elongation and indirectly by controlling interactions between enhancer and promoter regions through genome folding. The identification of TOP2B mutations in humans unexpectedly revealed a unique role of TOP2B in B-cell progenitors. Here we discuss the functions of TOP2B and the mechanisms leading to the B-cell development defect in patients with TOP2B deficiency.
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Affiliation(s)
- Olivier Papapietro
- Molecular Cell Biology and Immunology, Amsterdam University Medical Centers (UMC), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Infection and Immunity, Infectious Diseases, Amsterdam, Netherlands
- *Correspondence: Sergey Nejentsev, ; Olivier Papapietro,
| | - Sergey Nejentsev
- Molecular Cell Biology and Immunology, Amsterdam University Medical Centers (UMC), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Infection and Immunity, Infectious Diseases, Amsterdam, Netherlands
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
- *Correspondence: Sergey Nejentsev, ; Olivier Papapietro,
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23
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Okoreeh MK, Kennedy DE, Emmanuel AO, Veselits M, Moshin A, Ladd RH, Erickson S, McLean KC, Madrigal B, Nemazee D, Maienschein-Cline M, Mandal M, Clark MR. Asymmetrical forward and reverse developmental trajectories determine molecular programs of B cell antigen receptor editing. Sci Immunol 2022; 7:eabm1664. [PMID: 35930652 PMCID: PMC9636592 DOI: 10.1126/sciimmunol.abm1664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
During B lymphopoiesis, B cell progenitors progress through alternating and mutually exclusive stages of clonal expansion and immunoglobulin (Ig) gene rearrangements. Great diversity is generated through the stochastic recombination of Ig gene segments encoding heavy and light chain variable domains. However, this commonly generates autoreactivity. Receptor editing is the predominant tolerance mechanism for self-reactive B cells in the bone marrow (BM). B cell receptor editing rescues autoreactive B cells from negative selection through renewed light chain recombination first at Igκ then Igλ loci. Receptor editing depends on BM microenvironment cues and key transcription factors such as NF-κB, FOXO, and E2A. The specific BM factor required for receptor editing is unknown. Furthermore, how transcription factors coordinate these developmental programs to promote usage of the λ chain remains poorly defined. Therefore, we used two mouse models that recapitulate pathways by which Igλ light chain-positive B cells develop. The first has deleted J kappa (Jκ) genes and hence models Igλ expression resulting from failed Igκ recombination (Igκdel). The second models autoreactivity by ubiquitous expression of a single-chain chimeric anti-Igκ antibody (κ-mac). Here, we demonstrated that autoreactive B cells transit asymmetric forward and reverse developmental trajectories. This imparted a unique epigenetic landscape on small pre-B cells, which opened chromatin to transcription factors essential for Igλ recombination. The consequences of this asymmetric developmental path were both amplified and complemented by CXCR4 signaling. These findings reveal how intrinsic molecular programs integrate with extrinsic signals to drive receptor editing.
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Affiliation(s)
- Michael K. Okoreeh
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, 60637, USA
- Growth, Development, Disabilities Training program (GDDTP), Pritzker School of Medicine, University of Chicago, IL, 60637, USA
| | - Domenick E. Kennedy
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, 60637, USA
- Present Address: Drug Discovery Science and Technology, Discovery Platform Technologies, Chemical Biology and Emerging Therapeutics, AbbVie, North Chicago, IL, United States
| | - Akinola Olumide Emmanuel
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, 60637, USA
| | - Margaret Veselits
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, 60637, USA
| | - Azam Moshin
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, 60637, USA
| | - Robert H. Ladd
- Cytometry and Antibody Technologies Facility, University of Chicago, Chicago, IL, 60637, USA
| | - Steven Erickson
- Department of Pathology, University of Chicago, Chicago, IL, 60637, USA
| | - Kaitlin C. McLean
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, 60637, USA
| | - Brianna Madrigal
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
| | - David Nemazee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | | | - Malay Mandal
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, 60637, USA
| | - Marcus R. Clark
- Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, 60637, USA
- Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, 60637, USA
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24
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Bruzeau C, Cook-Moreau J, Pinaud E, Le Noir S. Contribution of Immunoglobulin Enhancers to B Cell Nuclear Organization. Front Immunol 2022; 13:877930. [PMID: 35812441 PMCID: PMC9263370 DOI: 10.3389/fimmu.2022.877930] [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: 02/17/2022] [Accepted: 05/26/2022] [Indexed: 11/19/2022] Open
Abstract
B cells undergo genetic rearrangements at immunoglobulin gene (Ig) loci during B cell maturation. First V(D)J recombination occurs during early B cell stages followed by class switch recombination (CSR) and somatic hypermutation (SHM) which occur during mature B cell stages. Given that RAG1/2 induces DNA double strand breaks (DSBs) during V(D)J recombination and AID (Activation-Induced Deaminase) leads to DNA modifications (mutations during SHM or DNA DSBs during CSR), it is mandatory that IgH rearrangements be tightly regulated to avoid any mutations or translocations within oncogenes. Ig loci contain various cis-regulatory elements that are involved in germline transcription, chromatin modifications or RAG/AID recruitment. Ig cis-regulatory elements are increasingly recognized as being involved in nuclear positioning, heterochromatin addressing and chromosome loop regulation. In this review, we examined multiple data showing the critical interest of studying Ig gene regulation at the whole nucleus scale. In this context, we highlighted the essential function of Ig gene regulatory elements that now have to be considered as nuclear organizers in B lymphocytes.
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25
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Wang W, Chandra A, Goldman N, Yoon S, Ferrari EK, Nguyen SC, Joyce EF, Vahedi G. TCF-1 promotes chromatin interactions across topologically associating domains in T cell progenitors. Nat Immunol 2022; 23:1052-1062. [PMID: 35726060 PMCID: PMC9728953 DOI: 10.1038/s41590-022-01232-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 05/05/2022] [Indexed: 12/12/2022]
Abstract
The high mobility group (HMG) transcription factor TCF-1 is essential for early T cell development. Although in vitro biochemical assays suggest that HMG proteins can serve as architectural elements in the assembly of higher-order nuclear organization, the contribution of TCF-1 on the control of three-dimensional (3D) genome structures during T cell development remains unknown. Here, we investigated the role of TCF-1 in 3D genome reconfiguration. Using gain- and loss-of-function experiments, we discovered that the co-occupancy of TCF-1 and the architectural protein CTCF altered the structure of topologically associating domains in T cell progenitors, leading to interactions between previously insulated regulatory elements and target genes at late stages of T cell development. The TCF-1-dependent gain in long-range interactions was linked to deposition of active enhancer mark H3K27ac and recruitment of the cohesin-loading factor NIPBL at active enhancers. These data indicate that TCF-1 has a role in controlling global genome organization during T cell development.
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Affiliation(s)
- Wenliang Wang
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Aditi Chandra
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Naomi Goldman
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sora Yoon
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Emily K Ferrari
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Son C Nguyen
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Eric F Joyce
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Golnaz Vahedi
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. .,Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. .,Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. .,Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. .,Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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26
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Hörnblad A, Remeseiro S. Epigenetics, Enhancer Function and 3D Chromatin Organization in Reprogramming to Pluripotency. Cells 2022; 11:cells11091404. [PMID: 35563711 PMCID: PMC9105757 DOI: 10.3390/cells11091404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/13/2022] [Accepted: 04/19/2022] [Indexed: 12/22/2022] Open
Abstract
Genome architecture, epigenetics and enhancer function control the fate and identity of cells. Reprogramming to induced pluripotent stem cells (iPSCs) changes the transcriptional profile and chromatin landscape of the starting somatic cell to that of the pluripotent cell in a stepwise manner. Changes in the regulatory networks are tightly regulated during normal embryonic development to determine cell fate, and similarly need to function in cell fate control during reprogramming. Switching off the somatic program and turning on the pluripotent program involves a dynamic reorganization of the epigenetic landscape, enhancer function, chromatin accessibility and 3D chromatin topology. Within this context, we will review here the current knowledge on the processes that control the establishment and maintenance of pluripotency during somatic cell reprogramming.
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Affiliation(s)
- Andreas Hörnblad
- Umeå Centre for Molecular Medicine (UCMM), Umeå University, 901 87 Umeå, Sweden
- Correspondence: (A.H.); (S.R.)
| | - Silvia Remeseiro
- Umeå Centre for Molecular Medicine (UCMM), Umeå University, 901 87 Umeå, Sweden
- Wallenberg Centre for Molecular Medicine (WCMM), Umeå University, 901 87 Umeå, Sweden
- Correspondence: (A.H.); (S.R.)
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27
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Balsalobre A, Drouin J. Pioneer factors as master regulators of the epigenome and cell fate. Nat Rev Mol Cell Biol 2022; 23:449-464. [PMID: 35264768 DOI: 10.1038/s41580-022-00464-z] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2022] [Indexed: 12/23/2022]
Abstract
Pioneer factors are transcription factors with the unique ability to initiate opening of closed chromatin. The stability of cell identity relies on robust mechanisms that maintain the epigenome and chromatin accessibility to transcription factors. Pioneer factors counter these mechanisms to implement new cell fates through binding of DNA target sites in closed chromatin and introduction of active-chromatin histone modifications, primarily at enhancers. As master regulators of enhancer activation, pioneers are thus crucial for the implementation of correct cell fate decisions in development, and as such, they hold tremendous potential for therapy through cellular reprogramming. The power of pioneer factors to reshape the epigenome also presents an Achilles heel, as their misexpression has major pathological consequences, such as in cancer. In this Review, we discuss the emerging mechanisms of pioneer factor functions and their roles in cell fate specification, cellular reprogramming and cancer.
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Affiliation(s)
- Aurelio Balsalobre
- Laboratoire de génétique moléculaire, Institut de recherches cliniques de Montréal, Montreal, QC, Canada
| | - Jacques Drouin
- Laboratoire de génétique moléculaire, Institut de recherches cliniques de Montréal, Montreal, QC, Canada.
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28
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Wang R, Chen F, Chen Q, Wan X, Shi M, Chen AK, Ma Z, Li G, Wang M, Ying Y, Liu Q, Li H, Zhang X, Ma J, Zhong J, Chen M, Zhang MQ, Zhang Y, Chen Y, Zhu D. MyoD is a 3D genome structure organizer for muscle cell identity. Nat Commun 2022; 13:205. [PMID: 35017543 PMCID: PMC8752600 DOI: 10.1038/s41467-021-27865-6] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 12/15/2021] [Indexed: 12/15/2022] Open
Abstract
The genome exists as an organized, three-dimensional (3D) dynamic architecture, and each cell type has a unique 3D genome organization that determines its cell identity. An unresolved question is how cell type-specific 3D genome structures are established during development. Here, we analyzed 3D genome structures in muscle cells from mice lacking the muscle lineage transcription factor (TF), MyoD, versus wild-type mice. We show that MyoD functions as a “genome organizer” that specifies 3D genome architecture unique to muscle cell development, and that H3K27ac is insufficient for the establishment of MyoD-induced chromatin loops in muscle cells. Moreover, we present evidence that other cell lineage-specific TFs might also exert functional roles in orchestrating lineage-specific 3D genome organization during development. Pioneer transcription factors (TFs) have been proposed to act as protein anchors to orchestrate cell type-specific 3D genome architecture. MyoD is a pioneer TF for myogenic lineage specification. Here the authors provide further support for the role of MyoD in 3D genome architecture in muscle stem cells by comparing MyoD knockout and wild-type mice.
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Affiliation(s)
- Ruiting Wang
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China
| | - Fengling Chen
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Bioinformatics Division, BNRist, Department of Automation, Tsinghua University, 100084, Beijing, China
| | - Qian Chen
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China
| | - Xin Wan
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China
| | - Minglei Shi
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Medicine, Tsinghua University, 100084, Beijing, China
| | - Antony K Chen
- Department of Biomedical Engineering, College of Future Technology, Peking University, 100871, Beijing, China
| | - Zhao Ma
- Department of Biomedical Engineering, College of Future Technology, Peking University, 100871, Beijing, China.,Department of Biomedical Engineering, College of Engineering, Peking University, 100871, Beijing, China
| | - Guohong Li
- National Laboratory of Biomacromolecules, CAS Center for Excellent in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China.,University of Chinese Academy of Science, 100049, Beijing, China
| | - Min Wang
- National Laboratory of Biomacromolecules, CAS Center for Excellent in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China.,University of Chinese Academy of Science, 100049, Beijing, China
| | - Yachen Ying
- Department of Biomedical Engineering, College of Future Technology, Peking University, 100871, Beijing, China.,Department of Biomedical Engineering, College of Engineering, Peking University, 100871, Beijing, China
| | - Qinyao Liu
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China
| | - Hu Li
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China.,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), 510320, Guangzhou, China
| | - Xu Zhang
- Beijing institute of collaborative innovation, 100094, Beijing, China
| | - Jinbiao Ma
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Jiayun Zhong
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Meihong Chen
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China
| | - Michael Q Zhang
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Bioinformatics Division, BNRist, Department of Automation, Tsinghua University, 100084, Beijing, China. .,MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Medicine, Tsinghua University, 100084, Beijing, China. .,Department of Biological Sciences, Center for Systems Biology, The University of Texas, Dallas 800 West Campbell Road, RL11, Richardson, TX, 75080-3021, USA.
| | - Yong Zhang
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China.
| | - Yang Chen
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China. .,MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Bioinformatics Division, BNRist, Department of Automation, Tsinghua University, 100084, Beijing, China. .,MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Medicine, Tsinghua University, 100084, Beijing, China.
| | - Dahai Zhu
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, 100005, Beijing, China. .,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), 510320, Guangzhou, China.
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29
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Sheerin D, Dold C, O'Connor D, Pollard AJ, Rollier CS. Distinct patterns of whole blood transcriptional responses are induced in mice following immunisation with adenoviral and poxviral vector vaccines encoding the same antigen. BMC Genomics 2021; 22:777. [PMID: 34717548 PMCID: PMC8556829 DOI: 10.1186/s12864-021-08061-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 09/21/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Viral vectors, including adenovirus (Ad) and modified vaccinia Ankara (MVA), have gained increasing attention as vaccine platforms in recent years due to their capacity to express antigens from a wide array of pathogens, their rapid induction of humoral and cellular protective immune responses, and their relatively low production costs. In particular, the chimpanzee Ad vector, ChAdOx1, has taken centre stage as a leading COVID-19 vaccine candidate. However, despite mounting data, both clinical and pre-clinical, demonstrating effective induction of adaptive immune responses, the innate immune signals that precede the protective responses that make these vectors attractive vaccine platforms remain poorly understood. RESULTS In this study, a mouse immunisation model was used to evaluate whole blood gene expression changes 24 h after either a single dose or heterologous prime-boost regimen of an Ad and/or MVA vaccine. We demonstrate through comparative analysis of Ad vectors encoding different antigens that a transgene product-specific gene signature can be discerned from the vector-induced transcriptional response. Expression of genes involved in TLR2 stimulation and γδ T cell and natural killer cell activation were induced after a single dose of Ad, while MVA led to greater expression of type I interferon genes. The order of prime-boost combinations was found to influence the magnitude of the gene expression changes, with MVA/Ad eliciting greater transcriptional perturbation than Ad/MVA. Contrasting the two regimens revealed significant enrichment of epigenetic regulation pathways and augmented expression of MHC class I and II molecules associated with MVA/Ad. CONCLUSION These data demonstrate that the order in which vaccines from heterologous prime-boost regimens are administered leads to distinct transcriptional responses and may shape the immune response induced by such combinations. The characterisation of early vaccine-induce responses strengthens our understanding of viral vector vaccine mechanisms of action ahead of their characterisation in human clinical trials and are a valuable resource to inform the pre-clinical design of appropriate vaccine constructs for emerging infectious diseases.
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Affiliation(s)
- Dylan Sheerin
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, and the NIHR Oxford Biomedical Research Centre, Centre for Clinical Vaccinology and Tropical Medicine, Churchill Hospital, Oxford, UK.
- Infectious Diseases and Immune Defence Division, The Walter & Eliza Hall Institute of Medical Research (WEHI), Melbourne, Victoria, 3052, Australia.
| | - Christina Dold
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, and the NIHR Oxford Biomedical Research Centre, Centre for Clinical Vaccinology and Tropical Medicine, Churchill Hospital, Oxford, UK
| | - Daniel O'Connor
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, and the NIHR Oxford Biomedical Research Centre, Centre for Clinical Vaccinology and Tropical Medicine, Churchill Hospital, Oxford, UK
| | - Andrew J Pollard
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, and the NIHR Oxford Biomedical Research Centre, Centre for Clinical Vaccinology and Tropical Medicine, Churchill Hospital, Oxford, UK
| | - Christine S Rollier
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, and the NIHR Oxford Biomedical Research Centre, Centre for Clinical Vaccinology and Tropical Medicine, Churchill Hospital, Oxford, UK
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30
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Wang H, Huang B, Wang J. Predict long-range enhancer regulation based on protein-protein interactions between transcription factors. Nucleic Acids Res 2021; 49:10347-10368. [PMID: 34570239 PMCID: PMC8501976 DOI: 10.1093/nar/gkab841] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 08/10/2021] [Accepted: 09/10/2021] [Indexed: 12/18/2022] Open
Abstract
Long-range regulation by distal enhancers plays critical roles in cell-type specific transcriptional programs. Computational predictions of genome-wide enhancer-promoter interactions are still challenging due to limited accuracy and the lack of knowledge on the molecular mechanisms. Based on recent biological investigations, the protein-protein interactions (PPIs) between transcription factors (TFs) have been found to participate in the regulation of chromatin loops. Therefore, we developed a novel predictive model for cell-type specific enhancer-promoter interactions by leveraging the information of TF PPI signatures. Evaluated by a series of rigorous performance comparisons, the new model achieves superior performance over other methods. The model also identifies specific TF PPIs that may mediate long-range regulatory interactions, revealing new mechanistic understandings of enhancer regulation. The prioritized TF PPIs are associated with genes in distinct biological pathways, and the predicted enhancer-promoter interactions are strongly enriched with cis-eQTLs. Most interestingly, the model discovers enhancer-mediated trans-regulatory links between TFs and genes, which are significantly enriched with trans-eQTLs. The new predictive model, along with the genome-wide analyses, provides a platform to systematically delineate the complex interplay among TFs, enhancers and genes in long-range regulation. The novel predictions also lead to mechanistic interpretations of eQTLs to decode the genetic associations with gene expression.
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Affiliation(s)
- Hao Wang
- Department of Computational Mathematics, Science and Engineering, Michigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA
| | - Binbin Huang
- Department of Computational Mathematics, Science and Engineering, Michigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA
| | - Jianrong Wang
- Department of Computational Mathematics, Science and Engineering, Michigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA
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Tcf1 and Lef1 provide constant supervision to mature CD8 + T cell identity and function by organizing genomic architecture. Nat Commun 2021; 12:5863. [PMID: 34615872 PMCID: PMC8494933 DOI: 10.1038/s41467-021-26159-1] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 09/17/2021] [Indexed: 02/01/2023] Open
Abstract
T cell identity is established during thymic development, but how it is maintained in the periphery remains unknown. Here we show that ablating Tcf1 and Lef1 transcription factors in mature CD8+ T cells aberrantly induces genes from non-T cell lineages. Using high-throughput chromosome-conformation-capture sequencing, we demonstrate that Tcf1/Lef1 are important for maintaining three-dimensional genome organization at multiple scales in CD8+ T cells. Comprehensive network analyses coupled with genome-wide profiling of chromatin accessibility and Tcf1 occupancy show the direct impact of Tcf1/Lef1 on the T cell genome is to promote formation of extensively interconnected hubs through enforcing chromatin interaction and accessibility. The integrative mechanisms utilized by Tcf1/Lef1 underlie activation of T cell identity genes and repression of non-T lineage genes, conferring fine control of various T cell functionalities. These findings suggest that Tcf1/Lef1 control global genome organization and help form intricate chromatin-interacting hubs to facilitate promoter-enhancer/silencer contact, hence providing constant supervision of CD8+ T cell identity and function. How CD8+ T cell identity is maintained after exit from the thymus is not fully established. Here the authors use multiomics approaches including Hi-C to show that Tcf1 and Lef1 prevent aberrant expression of lineage-inappropriate genes by organizing three-dimensional genomic architecture in CD8+ T cells.
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Bansal K, Michelson DA, Ramirez RN, Viny AD, Levine RL, Benoist C, Mathis D. Aire regulates chromatin looping by evicting CTCF from domain boundaries and favoring accumulation of cohesin on superenhancers. Proc Natl Acad Sci U S A 2021; 118:e2110991118. [PMID: 34518235 PMCID: PMC8463806 DOI: 10.1073/pnas.2110991118] [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] [Subscribe] [Scholar Register] [Accepted: 08/16/2021] [Indexed: 11/18/2022] Open
Abstract
Aire controls immunological tolerance by driving promiscuous expression of a large swath of the genome in medullary thymic epithelial cells (mTECs). Its molecular mechanism remains enigmatic. High-resolution chromosome-conformation capture (Hi-C) experiments on ex vivo mTECs revealed Aire to have a widespread impact on higher-order chromatin structure, disfavoring architectural loops while favoring transcriptional loops. In the presence of Aire, cohesin complexes concentrated on superenhancers together with mediator complexes, while the CCCTC-binding factor (CTCF) was relatively depleted from structural domain boundaries. In particular, Aire associated with the cohesin loader, NIPBL, strengthening this factor's affiliation with cohesin's enzymatic subunits. mTEC transcripts up-regulated in the presence of Aire corresponded closely to those down-regulated in the absence of one of the cohesin subunits, SA-2. A mechanistic model incorporating these findings explains many of the unusual features of Aire's impact on mTEC transcription, providing molecular insight into tolerance induction.
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Affiliation(s)
- Kushagra Bansal
- Department of Immunology, Harvard Medical School, Boston, MA 02115
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115
- Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore 560 064, India
| | - Daniel A Michelson
- Department of Immunology, Harvard Medical School, Boston, MA 02115
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115
| | - Ricardo N Ramirez
- Department of Immunology, Harvard Medical School, Boston, MA 02115
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115
| | - Aaron D Viny
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065
| | - Ross L Levine
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065
| | - Christophe Benoist
- Department of Immunology, Harvard Medical School, Boston, MA 02115;
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115
| | - Diane Mathis
- Department of Immunology, Harvard Medical School, Boston, MA 02115;
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115
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33
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Zhang X, Mei D, Wang H, Yu Q, Hong Z, Xu L, Ge J, Han L, Shu J, Liang F, Cai X, Zhu Y, Zhang F, Wang Q, Tai Y, Wang H, Zhang L, Wei W. hIgDFc-Ig inhibits B cell function by regulating the BCR-Syk-Btk-NF-κB signalling pathway in mice with collagen-induced arthritis. Pharmacol Res 2021; 173:105873. [PMID: 34500060 DOI: 10.1016/j.phrs.2021.105873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 11/19/2022]
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease targeting the synovium. Previous studies have found that IgD may be a potential target for the treatment of RA. We designed a new type of fusion protein, hIgDFc-Ig (DG), to block the binding of IgD to IgD receptor (IgDR). In this study, we found that DG has a significant therapeutic effect in mice with collagen-induced arthritis (CIA). DG improved the claw of irritation symptoms in these mice, inhibited the pathological changes in spleen and joint tissues, and had a moderating effect on B cell subsets at different inflammatory stages. Moreover, DG could also decrease the levels of IgA, IgD, IgM and IgG subtypes of immunoglobulin in the serum of mice with CIA. In vitro, B cell antigen receptor (BCR) knockout Ramos cells were established using the CRISPR/Cas9 technology to further study the activation of BCR signalling by IgD and the effect of DG. We found that the therapeutic effect of DG in mice with CIA may be achieved by inhibiting the activation of BCR signalling by IgD, which may be related to the activation of Igβ. In summary, DG may be a potential biological agent for the treatment of RA and it has broad application prospects in the future.
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MESH Headings
- Agammaglobulinaemia Tyrosine Kinase/metabolism
- Animals
- Arthritis, Experimental/drug therapy
- Arthritis, Experimental/immunology
- Arthritis, Experimental/metabolism
- Arthritis, Experimental/pathology
- B-Lymphocytes/drug effects
- B-Lymphocytes/immunology
- Cell Line
- Gene Knockdown Techniques
- Humans
- Immunoglobulins/genetics
- Immunoglobulins/pharmacology
- Immunoglobulins/therapeutic use
- Mice
- Mice, Inbred DBA
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/metabolism
- Receptors, Fc/antagonists & inhibitors
- Recombinant Fusion Proteins/pharmacology
- Recombinant Fusion Proteins/therapeutic use
- Signal Transduction/drug effects
- Spleen/drug effects
- Spleen/immunology
- Spleen/pathology
- Syk Kinase/metabolism
- Thymus Gland/drug effects
- Transcription Factor RelA/metabolism
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Affiliation(s)
- Xianzheng Zhang
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China; Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Dan Mei
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Han Wang
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Qianqian Yu
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Zhongyang Hong
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Li Xu
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Jinru Ge
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Le Han
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Jinling Shu
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Faqin Liang
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Xiaoyu Cai
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Yue Zhu
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Feng Zhang
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Qingtong Wang
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Yu Tai
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China
| | - Hua Wang
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Lingling Zhang
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China.
| | - Wei Wei
- Institute of Clinical Pharmacology, Anhui Medical University, Hefei, China; Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, China; Anti-inflammatory Immune Drugs Collaborative Innovation Center, Anhui Province, Hefei, China.
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Yang M, Yi P, Jiang J, Zhao M, Wu H, Lu Q. Dysregulated translational factors and epigenetic regulations orchestrate in B cells contributing to autoimmune diseases. Int Rev Immunol 2021; 42:1-25. [PMID: 34445929 DOI: 10.1080/08830185.2021.1964498] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
B cells play a crucial role in antigen presentation, antibody production and pro-/anti-inflammatory cytokine secretion in adaptive immunity. Several translational factors including transcription factors and cytokines participate in the regulation of B cell development, with the cooperation of epigenetic regulations. Autoimmune diseases are generally characterized with autoreactive B cells and high-level pathogenic autoantibodies. The success of B cell depletion therapy in mouse model and clinical trials has proven the role of B cells in pathogenesis of autoimmune diseases. The failure of B cell tolerance in immune checkpoints results in accumulated autoreactive naïve B (BN) cells with aberrant B cell receptor signaling and dysregulated B cell response, contributing to self-antibody-mediated autoimmune reaction. Dysregulation of translational factors and epigenetic alterations in B cells has been demonstrated to correlate with aberrant B cell compartment in autoimmune diseases, such as systemic lupus erythematosus, rheumatoid arthritis, primary Sjögren's syndrome, multiple sclerosis, diabetes mellitus and pemphigus. This review is intended to summarize the interaction of translational factors and epigenetic regulations that are involved with development and differentiation of B cells, and the mechanism of dysregulation in the pathogenesis of autoimmune diseases.
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Affiliation(s)
- Ming Yang
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Ping Yi
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Jiao Jiang
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Ming Zhao
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Haijing Wu
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Qianjin Lu
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China.,Department of Dermatology, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China
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35
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Plasmablasts derive from CD23- activated B cells after the extinction of IL-4/STAT6 signaling and IRF4 induction. Blood 2021; 137:1166-1180. [PMID: 33150420 DOI: 10.1182/blood.2020005083] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 10/19/2020] [Indexed: 01/07/2023] Open
Abstract
The terminal differentiation of B cells into antibody-secreting cells (ASCs) is a critical component of adaptive immune responses. However, it is a very sensitive process, and dysfunctions lead to a variety of lymphoproliferative neoplasias including germinal center-derived lymphomas. To better characterize the late genomic events that drive the ASC differentiation of human primary naive B cells, we used our in vitro differentiation system and a combination of RNA sequencing and Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC sequencing). We discovered 2 mechanisms that drive human terminal B-cell differentiation. First, after an initial response to interleukin-4 (IL-4), cells that were committed to an ASC fate downregulated the CD23 marker and IL-4 signaling, whereas cells that maintained IL-4 signaling did not differentiate. Second, human CD23- cells also increased IRF4 protein to levels required for ASC differentiation, but they did that independently of the ubiquitin-mediated degradation process previously described in mice. Finally, we showed that CD23- cells carried the imprint of their previous activated B-cell status, were precursors of plasmablasts, and had a phenotype similar to that of in vivo preplasmablasts. Altogether, our results provide an unprecedented genomic characterization of the fate decision between activated B cells and plasmablasts, which provides new insights into the pathological mechanisms that drive lymphoma biology.
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36
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van Schoonhoven A, Huylebroeck D, Hendriks RW, Stadhouders R. 3D genome organization during lymphocyte development and activation. Brief Funct Genomics 2021; 19:71-82. [PMID: 31819944 PMCID: PMC7115705 DOI: 10.1093/bfgp/elz030] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 07/24/2019] [Accepted: 09/20/2019] [Indexed: 12/20/2022] Open
Abstract
Chromosomes have a complex three-dimensional (3D) architecture comprising A/B compartments, topologically associating domains and promoter-enhancer interactions. At all these levels, the 3D genome has functional consequences for gene transcription and therefore for cellular identity. The development and activation of lymphocytes involves strict control of gene expression by transcription factors (TFs) operating in a three-dimensionally organized chromatin landscape. As lymphocytes are indispensable for tissue homeostasis and pathogen defense, and aberrant lymphocyte activity is involved in a wide range of human morbidities, acquiring an in-depth understanding of the molecular mechanisms that control lymphocyte identity is highly relevant. Here we review current knowledge of the interplay between 3D genome organization and transcriptional control during B and T lymphocyte development and antigen-dependent activation, placing special emphasis on the role of TFs.
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Affiliation(s)
- Anne van Schoonhoven
- Department of Pulmonary Medicine, Erasmus MC, Rotterdam, the Netherlands.,Department of Cell Biology,Erasmus MC, Rotterdam, the Netherlands
| | | | - Rudi W Hendriks
- Department of Pulmonary Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Ralph Stadhouders
- Department of Pulmonary Medicine, Erasmus MC, Rotterdam, the Netherlands.,Department of Cell Biology,Erasmus MC, Rotterdam, the Netherlands
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37
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Rose SA, Wroblewska A, Dhainaut M, Yoshida H, Shaffer JM, Bektesevic A, Ben-Zvi B, Rhoads A, Kim EY, Yu B, Lavin Y, Merad M, Buenrostro JD, Brown BD. A microRNA expression and regulatory element activity atlas of the mouse immune system. Nat Immunol 2021; 22:914-927. [PMID: 34099919 PMCID: PMC8480231 DOI: 10.1038/s41590-021-00944-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 04/26/2021] [Indexed: 02/05/2023]
Abstract
To better define the control of immune system regulation, we generated an atlas of microRNA (miRNA) expression from 63 mouse immune cell populations and connected these signatures with assay for transposase-accessible chromatin using sequencing (ATAC-seq), chromatin immunoprecipitation followed by sequencing (ChIP-seq) and nascent RNA profiles to establish a map of miRNA promoter and enhancer usage in immune cells. miRNA complexity was relatively low, with >90% of the miRNA compartment of each population comprising <75 miRNAs; however, each cell type had a unique miRNA signature. Integration of miRNA expression with chromatin accessibility revealed putative regulatory elements for differentially expressed miRNAs, including miR-21a, miR-146a and miR-223. The integrated maps suggest that many miRNAs utilize multiple promoters to reach high abundance and identified dominant and divergent miRNA regulatory elements between lineages and during development that may be used by clustered miRNAs, such as miR-99a/let-7c/miR-125b, to achieve distinct expression. These studies, with web-accessible data, help delineate the cis-regulatory elements controlling miRNA signatures of the immune system.
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Affiliation(s)
- Samuel A Rose
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aleksandra Wroblewska
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maxime Dhainaut
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hideyuki Yoshida
- YCI Laboratory for Immunological Transcriptomics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | | | - Anela Bektesevic
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin Ben-Zvi
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew Rhoads
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Edy Y Kim
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Bingfei Yu
- Division of Biology, University of California San Diego, La Jolla, CA, USA
| | - Yonit Lavin
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miriam Merad
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Brian D Brown
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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38
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Islam Z, Ali AM, Naik A, Eldaw M, Decock J, Kolatkar PR. Transcription Factors: The Fulcrum Between Cell Development and Carcinogenesis. Front Oncol 2021; 11:681377. [PMID: 34195082 PMCID: PMC8236851 DOI: 10.3389/fonc.2021.681377] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/26/2021] [Indexed: 12/15/2022] Open
Abstract
Higher eukaryotic development is a complex and tightly regulated process, whereby transcription factors (TFs) play a key role in controlling the gene regulatory networks. Dysregulation of these regulatory networks has also been associated with carcinogenesis. Transcription factors are key enablers of cancer stemness, which support the maintenance and function of cancer stem cells that are believed to act as seeds for cancer initiation, progression and metastasis, and treatment resistance. One key area of research is to understand how these factors interact and collaborate to define cellular fate during embryogenesis as well as during tumor development. This review focuses on understanding the role of TFs in cell development and cancer. The molecular mechanisms of cell fate decision are of key importance in efforts towards developing better protocols for directed differentiation of cells in research and medicine. We also discuss the dysregulation of TFs and their role in cancer progression and metastasis, exploring TF networks as direct or indirect targets for therapeutic intervention, as well as specific TFs' potential as biomarkers for predicting and monitoring treatment responses.
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Affiliation(s)
- Zeyaul Islam
- Diabetes Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Ameena Mohamed Ali
- Diabetes Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Adviti Naik
- Translational Cancer and Immunity Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Mohamed Eldaw
- Diabetes Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Julie Decock
- Translational Cancer and Immunity Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Prasanna R. Kolatkar
- Diabetes Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
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39
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Hogg SJ, Motorna O, Cluse LA, Johanson TM, Coughlan HD, Raviram R, Myers RM, Costacurta M, Todorovski I, Pijpers L, Bjelosevic S, Williams T, Huskins SN, Kearney CJ, Devlin JR, Fan Z, Jabbari JS, Martin BP, Fareh M, Kelly MJ, Dupéré-Richer D, Sandow JJ, Feran B, Knight D, Khong T, Spencer A, Harrison SJ, Gregory G, Wickramasinghe VO, Webb AI, Taberlay PC, Bromberg KD, Lai A, Papenfuss AT, Smyth GK, Allan RS, Licht JD, Landau DA, Abdel-Wahab O, Shortt J, Vervoort SJ, Johnstone RW. Targeting histone acetylation dynamics and oncogenic transcription by catalytic P300/CBP inhibition. Mol Cell 2021; 81:2183-2200.e13. [PMID: 34019788 PMCID: PMC8183601 DOI: 10.1016/j.molcel.2021.04.015] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 01/19/2021] [Accepted: 04/16/2021] [Indexed: 02/07/2023]
Abstract
To separate causal effects of histone acetylation on chromatin accessibility and transcriptional output, we used integrated epigenomic and transcriptomic analyses following acute inhibition of major cellular lysine acetyltransferases P300 and CBP in hematological malignancies. We found that catalytic P300/CBP inhibition dynamically perturbs steady-state acetylation kinetics and suppresses oncogenic transcriptional networks in the absence of changes to chromatin accessibility. CRISPR-Cas9 screening identified NCOR1 and HDAC3 transcriptional co-repressors as the principal antagonists of P300/CBP by counteracting acetylation turnover kinetics. Finally, deacetylation of H3K27 provides nucleation sites for reciprocal methylation switching, a feature that can be exploited therapeutically by concomitant KDM6A and P300/CBP inhibition. Overall, this study indicates that the steady-state histone acetylation-methylation equilibrium functions as a molecular rheostat governing cellular transcription that is amenable to therapeutic exploitation as an anti-cancer regimen.
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Affiliation(s)
- Simon J Hogg
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Olga Motorna
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia; Monash Haematology, Monash Health, Clayton, 3168, Australia; School of Clinical Sciences at Monash Health, Monash University, Clayton, 3800, Australia
| | - Leonie A Cluse
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia
| | - Timothy M Johanson
- The Walter and Eliza Hall Institute of Medical Research, Parkville, 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, 3010, Australia
| | - Hannah D Coughlan
- The Walter and Eliza Hall Institute of Medical Research, Parkville, 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, 3010, Australia
| | | | - Robert M Myers
- Tri-Institutional MD-PhD Program, Weill Cornell Medicine, Rockefeller University, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA
| | - Matteo Costacurta
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Izabela Todorovski
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Lizzy Pijpers
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Stefan Bjelosevic
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Tobias Williams
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia; RNA Biology and Cancer Laboratory, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia
| | - Shannon N Huskins
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, 7000, Australia
| | - Conor J Kearney
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Jennifer R Devlin
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Zheng Fan
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Jafar S Jabbari
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, 3000, Australia
| | - Ben P Martin
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia
| | - Mohamed Fareh
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Madison J Kelly
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia
| | - Daphné Dupéré-Richer
- Division of Hematology/Oncology, The University of Florida Health Cancer Center, Gainesville, FL 32608, USA
| | - Jarrod J Sandow
- The Walter and Eliza Hall Institute of Medical Research, Parkville, 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, 3010, Australia
| | - Breon Feran
- The Walter and Eliza Hall Institute of Medical Research, Parkville, 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, 3010, Australia
| | - Deborah Knight
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia
| | - Tiffany Khong
- Australian Center for Blood Diseases, Monash University, Melbourne, 3004, Australia
| | - Andrew Spencer
- Australian Center for Blood Diseases, Monash University, Melbourne, 3004, Australia
| | - Simon J Harrison
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia; Clinical Hematology, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Royal Melbourne Hospital, Melbourne, 3000, Australia
| | - Gareth Gregory
- Monash Haematology, Monash Health, Clayton, 3168, Australia; School of Clinical Sciences at Monash Health, Monash University, Clayton, 3800, Australia
| | - Vihandha O Wickramasinghe
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia; RNA Biology and Cancer Laboratory, Peter MacCallum Cancer Centre, Melbourne, 3000, Australia
| | - Andrew I Webb
- The Walter and Eliza Hall Institute of Medical Research, Parkville, 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, 3010, Australia
| | - Phillippa C Taberlay
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, 7000, Australia
| | - Kenneth D Bromberg
- Discovery, Global Pharmaceutical Research and Development, AbbVie, North Chicago, IL 60064, USA
| | - Albert Lai
- Discovery, Global Pharmaceutical Research and Development, AbbVie, North Chicago, IL 60064, USA
| | - Anthony T Papenfuss
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia; The Walter and Eliza Hall Institute of Medical Research, Parkville, 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, 3010, Australia
| | - Gordon K Smyth
- The Walter and Eliza Hall Institute of Medical Research, Parkville, 3052, Australia; School of Mathematics and Statistics, The University of Melbourne, Parkville, 3010, Australia
| | - Rhys S Allan
- The Walter and Eliza Hall Institute of Medical Research, Parkville, 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, 3010, Australia
| | - Jonathan D Licht
- Division of Hematology/Oncology, The University of Florida Health Cancer Center, Gainesville, FL 32608, USA
| | - Dan A Landau
- New York Genome Center, New York, NY 10013, USA; Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Omar Abdel-Wahab
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jake Shortt
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia; Monash Haematology, Monash Health, Clayton, 3168, Australia; School of Clinical Sciences at Monash Health, Monash University, Clayton, 3800, Australia
| | - Stephin J Vervoort
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia.
| | - Ricky W Johnstone
- Translational Hematology Program, Gene Regulation Laboratory, Peter MacCallum Cancer Center, Melbourne, 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3000, Australia.
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40
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Scourzic L, Salataj E, Apostolou E. Deciphering the Complexity of 3D Chromatin Organization Driving Lymphopoiesis and Lymphoid Malignancies. Front Immunol 2021; 12:669881. [PMID: 34054841 PMCID: PMC8160312 DOI: 10.3389/fimmu.2021.669881] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 04/26/2021] [Indexed: 12/18/2022] Open
Abstract
Proper lymphopoiesis and immune responses depend on the spatiotemporal control of multiple processes, including gene expression, DNA recombination and cell fate decisions. High-order 3D chromatin organization is increasingly appreciated as an important regulator of these processes and dysregulation of genomic architecture has been linked to various immune disorders, including lymphoid malignancies. In this review, we present the general principles of the 3D chromatin topology and its dynamic reorganization during various steps of B and T lymphocyte development and activation. We also discuss functional interconnections between architectural, epigenetic and transcriptional changes and introduce major key players of genomic organization in B/T lymphocytes. Finally, we present how alterations in architectural factors and/or 3D genome organization are linked to dysregulation of the lymphopoietic transcriptional program and ultimately to hematological malignancies.
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Affiliation(s)
| | | | - Effie Apostolou
- Sanford I. Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States
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41
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Liu S, Zhao K. The Toolbox for Untangling Chromosome Architecture in Immune Cells. Front Immunol 2021; 12:670884. [PMID: 33995409 PMCID: PMC8120992 DOI: 10.3389/fimmu.2021.670884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 04/06/2021] [Indexed: 12/19/2022] Open
Abstract
The code of life is not only encrypted in the sequence of DNA but also in the way it is organized into chromosomes. Chromosome architecture is gradually being recognized as an important player in regulating cell activities (e.g., controlling spatiotemporal gene expression). In the past decade, the toolbox for elucidating genome structure has been expanding, providing an opportunity to explore this under charted territory. In this review, we will introduce the recent advancements in approaches for mapping spatial organization of the genome, emphasizing applications of these techniques to immune cells, and trying to bridge chromosome structure with immune cell activities.
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Affiliation(s)
- Shuai Liu
- Laboratory of Epigenome Biology, Systems Biology Center, NHLBI, NIH, Bethesda, MD, United States
| | - Keji Zhao
- Laboratory of Epigenome Biology, Systems Biology Center, NHLBI, NIH, Bethesda, MD, United States
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42
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Pongubala JMR, Murre C. Spatial Organization of Chromatin: Transcriptional Control of Adaptive Immune Cell Development. Front Immunol 2021; 12:633825. [PMID: 33854505 PMCID: PMC8039525 DOI: 10.3389/fimmu.2021.633825] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 03/03/2021] [Indexed: 12/11/2022] Open
Abstract
Higher-order spatial organization of the genome into chromatin compartments (permissive and repressive), self-associating domains (TADs), and regulatory loops provides structural integrity and offers diverse gene regulatory controls. In particular, chromatin regulatory loops, which bring enhancer and associated transcription factors in close spatial proximity to target gene promoters, play essential roles in regulating gene expression. The establishment and maintenance of such chromatin loops are predominantly mediated involving CTCF and the cohesin machinery. In recent years, significant progress has been made in revealing how loops are assembled and how they modulate patterns of gene expression. Here we will discuss the mechanistic principles that underpin the establishment of three-dimensional (3D) chromatin structure and how changes in chromatin structure relate to alterations in gene programs that establish immune cell fate.
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Affiliation(s)
| | - Cornelis Murre
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, United States
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43
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Miyazaki K, Miyazaki M. The Interplay Between Chromatin Architecture and Lineage-Specific Transcription Factors and the Regulation of Rag Gene Expression. Front Immunol 2021; 12:659761. [PMID: 33796120 PMCID: PMC8007930 DOI: 10.3389/fimmu.2021.659761] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/02/2021] [Indexed: 12/17/2022] Open
Abstract
Cell type-specific gene expression is driven through the interplay between lineage-specific transcription factors (TFs) and the chromatin architecture, such as topologically associating domains (TADs), and enhancer-promoter interactions. To elucidate the molecular mechanisms of the cell fate decisions and cell type-specific functions, it is important to understand the interplay between chromatin architectures and TFs. Among enhancers, super-enhancers (SEs) play key roles in establishing cell identity. Adaptive immunity depends on the RAG-mediated assembly of antigen recognition receptors. Hence, regulation of the Rag1 and Rag2 (Rag1/2) genes is a hallmark of adaptive lymphoid lineage commitment. Here, we review the current knowledge of 3D genome organization, SE formation, and Rag1/2 gene regulation during B cell and T cell differentiation.
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Affiliation(s)
- Kazuko Miyazaki
- Laboratory of Immunology, Institute for Frontier Life and Medial Sciences, Kyoto University, Kyoto, Japan
| | - Masaki Miyazaki
- Laboratory of Immunology, Institute for Frontier Life and Medial Sciences, Kyoto University, Kyoto, Japan
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44
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Transcriptional and epigenetic control of hematopoietic stem cell fate decisions in vertebrates. Dev Biol 2021; 475:156-164. [PMID: 33689804 DOI: 10.1016/j.ydbio.2021.03.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/24/2021] [Accepted: 03/04/2021] [Indexed: 12/20/2022]
Abstract
Hematopoietic stem cells (HSCs) are the foundation of adult hematopoiesis that produce all types of mature blood lineages. In vertebrates, HSC development is a stepwise process, coordinately regulated by chromatin architectures and a group of transcriptional and epigenetic regulators. A deeper understanding of the molecular mechanisms governing the generation, expansion, and function of HSCs holds great promise in the generation and expansion of engraftable HSCs in vitro for clinical applications. This study reviewed recent advances in transcriptional and epigenetic control of hematopoietic stem cell fate decisions in vertebrates.
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45
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Chan WF, Coughlan HD, Zhou JHS, Keenan CR, Bediaga NG, Hodgkin PD, Smyth GK, Johanson TM, Allan RS. Pre-mitotic genome re-organisation bookends the B cell differentiation process. Nat Commun 2021; 12:1344. [PMID: 33637722 PMCID: PMC7910489 DOI: 10.1038/s41467-021-21536-2] [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: 03/10/2020] [Accepted: 02/02/2021] [Indexed: 01/08/2023] Open
Abstract
During cellular differentiation chromosome conformation is intricately remodelled to support the lineage-specific transcriptional programs required for initiating and maintaining lineage identity. When these changes occur in relation to cell cycle, division and time in response to cellular activation and differentiation signals has yet to be explored, although it has been proposed to occur during DNA synthesis or after mitosis. Here, we elucidate the chromosome conformational changes in B lymphocytes as they differentiate and expand from a naive, quiescent state into antibody secreting plasma cells. We find gene-regulatory chromosome reorganization in late G1 phase before the first division, and that this configuration is remarkably stable as the cells massively and rapidly clonally expand. A second wave of conformational change occurs as cells terminally differentiate into plasma cells, coincident with increased time in G1 phase. These results provide further explanation for how lymphocyte fate is imprinted prior to the first division. They also suggest that chromosome reconfiguration occurs prior to DNA replication and mitosis, and is linked to a gene expression program that controls the differentiation process required for the generation of immunity.
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Affiliation(s)
- Wing Fuk Chan
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia
| | - Hannah D Coughlan
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia
| | - Jie H S Zhou
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia
| | - Christine R Keenan
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia
| | - Naiara G Bediaga
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia
| | - Philip D Hodgkin
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia
| | - Gordon K Smyth
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia
| | - Timothy M Johanson
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia
| | - Rhys S Allan
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia. .,Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia.
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46
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Price MJ, Scharer CD, Kania AK, Randall TD, Boss JM. Conserved Epigenetic Programming and Enhanced Heme Metabolism Drive Memory B Cell Reactivation. THE JOURNAL OF IMMUNOLOGY 2021; 206:1493-1504. [PMID: 33627377 DOI: 10.4049/jimmunol.2000551] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 01/25/2021] [Indexed: 02/01/2023]
Abstract
Memory B cells (MBCs) have enhanced capabilities to differentiate to plasma cells and generate a rapid burst of Abs upon secondary stimulation. To determine if MBCs harbor an epigenetic landscape that contributes to increased differentiation potential, we derived the chromatin accessibility and transcriptomes of influenza-specific IgM and IgG MBCs compared with naive cells. MBCs possessed an accessible chromatin architecture surrounding plasma cell-specific genes, as well as altered expression of transcription factors and genes encoding cell cycle, chemotaxis, and signal transduction processes. Intriguingly, this MBC signature was conserved between humans and mice. MBCs of both species possessed a heightened heme signature compared with naive cells. Differentiation in the presence of hemin enhanced oxidative phosphorylation metabolism and MBC differentiation into Ab-secreting plasma cells. Thus, these data define conserved MBC transcriptional and epigenetic signatures that include a central role for heme and multiple other pathways in augmenting MBC reactivation potential.
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Affiliation(s)
- Madeline J Price
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA 30322
| | - Christopher D Scharer
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA 30322
| | - Anna K Kania
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA 30322
| | - Troy D Randall
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294; and
| | - Jeremy M Boss
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA 30322; .,Emory Vaccine Center, Emory University School of Medicine, Atlanta, GA 30322
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47
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Three-dimensional genome rewiring during the development of antibody-secreting cells. Biochem Soc Trans 2021; 48:1109-1119. [PMID: 32453419 PMCID: PMC7329350 DOI: 10.1042/bst20191104] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 04/26/2020] [Accepted: 04/28/2020] [Indexed: 01/08/2023]
Abstract
The development of B lymphocytes into antibody-secreting plasma cells is central to the adaptive immune system in that it confers protective and specific antibody response against invading pathogen. This developmental process involves extensive morphological and functional alterations that begin early after antigenic stimulation. These include chromatin restructuring that is critical in regulating gene expression, DNA rearrangement and other cellular processes. Here we outline the recent understanding of the three-dimensional architecture of the genome, specifically focused on its contribution to the process of B cell activation and terminal differentiation into antibody-secreting cells.
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48
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Rogers CH, Mielczarek O, Corcoran AE. Dynamic 3D Locus Organization and Its Drivers Underpin Immunoglobulin Recombination. Front Immunol 2021; 11:633705. [PMID: 33679727 PMCID: PMC7930373 DOI: 10.3389/fimmu.2020.633705] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 12/30/2020] [Indexed: 01/10/2023] Open
Abstract
A functional adaptive immune system must generate enormously diverse antigen receptor (AgR) repertoires from a limited number of AgR genes, using a common mechanism, V(D)J recombination. The AgR loci are among the largest in the genome, and individual genes must overcome huge spatial and temporal challenges to co-localize with optimum variability. Our understanding of the complex mechanisms involved has increased enormously, due in part to new technologies for high resolution mapping of AgR structure and dynamic movement, underpinning mechanisms, and resulting repertoires. This review will examine these advances using the paradigm of the mouse immunoglobulin heavy chain (Igh) locus. We will discuss the key regulatory elements implicated in Igh locus structure. Recent next generation repertoire sequencing methods have shown that local chromatin state at V genes contribute to recombination efficiency. Next on the multidimensional scale, we will describe imaging studies that provided the first picture of the large-scale dynamic looping and contraction the Igh locus undergoes during recombination. We will discuss chromosome conformation capture (3C)-based technologies that have provided higher resolution pictures of Igh locus structure, including the different models that have evolved. We will consider the key transcription factors (PAX5, YY1, E2A, Ikaros), and architectural factors, CTCF and cohesin, that regulate these processes. Lastly, we will discuss a plethora of recent exciting mechanistic findings. These include Rag recombinase scanning for convergent RSS sequences within DNA loops; identification of Igh loop extrusion, and its putative role in Rag scanning; the roles of CTCF, cohesin and cohesin loading factor, WAPL therein; a new phase separation model for Igh locus compartmentalization. We will draw these together and conclude with some horizon-scanning and unresolved questions.
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Affiliation(s)
- Carolyn H Rogers
- Lymphocyte Signalling and Development Programme, Babraham Institute, Cambridge, United Kingdom
| | - Olga Mielczarek
- Nuclear Dynamics Programme, Babraham Institute, Cambridge, United Kingdom
| | - Anne E Corcoran
- Lymphocyte Signalling and Development Programme, Babraham Institute, Cambridge, United Kingdom
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49
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Extreme disruption of heterochromatin is required for accelerated hematopoietic aging. Blood 2021; 135:2049-2058. [PMID: 32305044 DOI: 10.1182/blood.2019002990] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 03/22/2020] [Indexed: 12/22/2022] Open
Abstract
Loss of heterochromatin has been proposed as a universal mechanism of aging across different species and cell types. However, a comprehensive analysis of hematopoietic changes caused by heterochromatin loss is lacking. Moreover, there is conflict in the literature around the role of the major heterochromatic histone methyltransferase Suv39h1 in the aging process. Here, we use individual and dual deletion of Suv39h1 and Suv39h2 enzymes to examine the causal role of heterochromatin loss in hematopoietic cell development. Loss of neither Suv39h1 nor Suv39h2 individually had any effect on hematopoietic stem cell function or the development of mature lymphoid or myeloid lineages. However, deletion of both enzymes resulted in characteristic changes associated with aging such as reduced hematopoietic stem cell function, thymic involution and decreased lymphoid output with a skewing toward myeloid development, and increased memory T cells at the expense of naive T cells. These cellular changes were accompanied by molecular changes consistent with aging, including alterations in nuclear shape and increased nucleolar size. Together, our results indicate that the hematopoietic system has a remarkable tolerance for major disruptions in chromatin structure and reveal a role for Suv39h2 in depositing sufficient H3K9me3 to protect the entire hematopoietic system from changes associated with premature aging.
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50
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Rivas MA, Meydan C, Chin CR, Challman MF, Kim D, Bhinder B, Kloetgen A, Viny AD, Teater MR, McNally DR, Doane AS, Béguelin W, Fernández MTC, Shen H, Wang X, Levine RL, Chen Z, Tsirigos A, Elemento O, Mason CE, Melnick AM. Smc3 dosage regulates B cell transit through germinal centers and restricts their malignant transformation. Nat Immunol 2021; 22:240-253. [PMID: 33432228 PMCID: PMC7855695 DOI: 10.1038/s41590-020-00827-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 10/25/2020] [Indexed: 01/28/2023]
Abstract
During the germinal center (GC) reaction, B cells undergo extensive redistribution of cohesin complex and three-dimensional reorganization of their genomes. Yet, the significance of cohesin and architectural programming in the humoral immune response is unknown. Herein we report that homozygous deletion of Smc3, encoding the cohesin ATPase subunit, abrogated GC formation, while, in marked contrast, Smc3 haploinsufficiency resulted in GC hyperplasia, skewing of GC polarity and impaired plasma cell (PC) differentiation. Genome-wide chromosomal conformation and transcriptional profiling revealed defects in GC B cell terminal differentiation programs controlled by the lymphoma epigenetic tumor suppressors Tet2 and Kmt2d and failure of Smc3-haploinsufficient GC B cells to switch from B cell- to PC-defining transcription factors. Smc3 haploinsufficiency preferentially impaired the connectivity of enhancer elements controlling various lymphoma tumor suppressor genes, and, accordingly, Smc3 haploinsufficiency accelerated lymphomagenesis in mice with constitutive Bcl6 expression. Collectively, our data indicate a dose-dependent function for cohesin in humoral immunity to facilitate the B cell to PC phenotypic switch while restricting malignant transformation.
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MESH Headings
- Animals
- B-Lymphocytes/immunology
- B-Lymphocytes/metabolism
- B-Lymphocytes/pathology
- Cell Cycle Proteins/deficiency
- Cell Cycle Proteins/genetics
- Cell Cycle Proteins/metabolism
- Cell Differentiation
- Cell Proliferation
- Cell Transformation, Neoplastic/genetics
- Cell Transformation, Neoplastic/immunology
- Cell Transformation, Neoplastic/metabolism
- Cell Transformation, Neoplastic/pathology
- Cells, Cultured
- Chondroitin Sulfate Proteoglycans/deficiency
- Chondroitin Sulfate Proteoglycans/genetics
- Chondroitin Sulfate Proteoglycans/metabolism
- Chromosomal Proteins, Non-Histone/deficiency
- Chromosomal Proteins, Non-Histone/genetics
- Chromosomal Proteins, Non-Histone/metabolism
- DNA-Binding Proteins/genetics
- DNA-Binding Proteins/metabolism
- Dioxygenases
- Gene Deletion
- Gene Dosage
- Gene Expression Regulation, Neoplastic
- Germinal Center/immunology
- Germinal Center/metabolism
- Germinal Center/pathology
- Haploinsufficiency
- Histone-Lysine N-Methyltransferase/genetics
- Histone-Lysine N-Methyltransferase/metabolism
- Humans
- Immunity, Humoral
- Lymphoma, B-Cell/genetics
- Lymphoma, B-Cell/immunology
- Lymphoma, B-Cell/metabolism
- Lymphoma, B-Cell/pathology
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/metabolism
- Lymphoma, Large B-Cell, Diffuse/pathology
- Mice, Inbred C57BL
- Mice, Knockout
- Myeloid-Lymphoid Leukemia Protein/genetics
- Myeloid-Lymphoid Leukemia Protein/metabolism
- Proto-Oncogene Proteins/genetics
- Proto-Oncogene Proteins/metabolism
- Signal Transduction
- Cohesins
- Mice
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Affiliation(s)
- Martín A Rivas
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Christopher R Chin
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Matt F Challman
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Daleum Kim
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Bhavneet Bhinder
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Andreas Kloetgen
- Department of Pathology, New York University School of Medicine, New York, NY, USA
| | - Aaron D Viny
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matt R Teater
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Dylan R McNally
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ashley S Doane
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Wendy Béguelin
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Hao Shen
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Xiang Wang
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ross L Levine
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zhengming Chen
- Division of Biostatistics and Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Aristotelis Tsirigos
- Department of Pathology, New York University School of Medicine, New York, NY, USA
- Institute for Computational Medicine, New York University School of Medicine, New York, NY, USA
- Applied Bioinformatics Laboratories, New York University School of Medicine, New York, NY, USA
| | - Olivier Elemento
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Ari M Melnick
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
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