1
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Kumar Halder A, Agarwal A, Jodkowska K, Plewczynski D. A systematic analyses of different bioinformatics pipelines for genomic data and its impact on deep learning models for chromatin loop prediction. Brief Funct Genomics 2024; 23:538-548. [PMID: 38555493 DOI: 10.1093/bfgp/elae009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/07/2024] [Accepted: 03/04/2024] [Indexed: 04/02/2024] Open
Abstract
Genomic data analysis has witnessed a surge in complexity and volume, primarily driven by the advent of high-throughput technologies. In particular, studying chromatin loops and structures has become pivotal in understanding gene regulation and genome organization. This systematic investigation explores the realm of specialized bioinformatics pipelines designed specifically for the analysis of chromatin loops and structures. Our investigation incorporates two protein (CTCF and Cohesin) factor-specific loop interaction datasets from six distinct pipelines, amassing a comprehensive collection of 36 diverse datasets. Through a meticulous review of existing literature, we offer a holistic perspective on the methodologies, tools and algorithms underpinning the analysis of this multifaceted genomic feature. We illuminate the vast array of approaches deployed, encompassing pivotal aspects such as data preparation pipeline, preprocessing, statistical features and modelling techniques. Beyond this, we rigorously assess the strengths and limitations inherent in these bioinformatics pipelines, shedding light on the interplay between data quality and the performance of deep learning models, ultimately advancing our comprehension of genomic intricacies.
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Affiliation(s)
- Anup Kumar Halder
- Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
- Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
| | - Abhishek Agarwal
- Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
| | - Karolina Jodkowska
- Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
| | - Dariusz Plewczynski
- Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
- Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
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2
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Guo L, Hong T, Lee YT, Hu X, Pan G, Zhao R, Yang Y, Yang J, Cai X, Rivera L, Liang J, Wang R, Dou Y, Kodali S, Li W, Han L, Di Stefano B, Zhou Y, Li J, Huang Y. Perturbing TET2 condensation promotes aberrant genome-wide DNA methylation and curtails leukaemia cell growth. Nat Cell Biol 2024:10.1038/s41556-024-01496-7. [PMID: 39251719 DOI: 10.1038/s41556-024-01496-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 08/01/2024] [Indexed: 09/11/2024]
Abstract
The ten-eleven translocation (TET) family of dioxygenases maintain stable local DNA demethylation during cell division and lineage specification. As the major catalytic product of TET enzymes, 5-hydroxymethylcytosine is selectively enriched at specific genomic regions, such as enhancers, in a tissue-dependent manner. However, the mechanisms underlying this selectivity remain unresolved. Here we unveil a low-complexity insert domain within TET2 that facilitates its biomolecular condensation with epigenetic modulators, such as UTX and MLL4. This co-condensation fosters a permissive chromatin environment for precise DNA demethylation. Disrupting low-complexity insert-mediated condensation alters the genomic binding of TET2 to cause promiscuous DNA demethylation and genome reorganization. These changes influence the expression of key genes implicated in leukaemogenesis to curtail leukaemia cell proliferation. Collectively, this study establishes the pivotal role of TET2 condensation in orchestrating precise DNA demethylation and gene transcription to support tumour cell growth.
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Affiliation(s)
- Lei Guo
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Tingting Hong
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Yi-Tsang Lee
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Xue Hu
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Guokai Pan
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Rongjie Zhao
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Yuhan Yang
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Jingwen Yang
- School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Xiaoli Cai
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Logan Rivera
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Jie Liang
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Rui Wang
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Yaling Dou
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA
| | - Srikanth Kodali
- Stem Cells and Regenerative Medicine Center, Center for Cell and Gene Therapy, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Wenbo Li
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Leng Han
- School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Bruno Di Stefano
- Stem Cells and Regenerative Medicine Center, Center for Cell and Gene Therapy, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yubin Zhou
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA.
- Department of Translational Medical Sciences, School of Medicine, Texas A&M University, Houston, TX, USA.
| | - Jia Li
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, China.
- Department of Laboratory Medicine, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
- Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, China.
| | - Yun Huang
- Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA.
- Department of Translational Medical Sciences, School of Medicine, Texas A&M University, Houston, TX, USA.
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, Houston, TX, USA.
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3
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Monteagudo-Sánchez A, Richard Albert J, Scarpa M, Noordermeer D, Greenberg MVC. The impact of the embryonic DNA methylation program on CTCF-mediated genome regulation. Nucleic Acids Res 2024:gkae724. [PMID: 39180406 DOI: 10.1093/nar/gkae724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 07/23/2024] [Accepted: 08/21/2024] [Indexed: 08/26/2024] Open
Abstract
During mammalian embryogenesis, both the 5-cytosine DNA methylation (5meC) landscape and three dimensional (3D) chromatin architecture are profoundly remodeled during a process known as 'epigenetic reprogramming.' An understudied aspect of epigenetic reprogramming is how the 5meC flux, per se, affects the 3D genome. This is pertinent given the 5meC-sensitivity of DNA binding for a key regulator of chromosome folding: CTCF. We profiled the CTCF binding landscape using a mouse embryonic stem cell (ESC) differentiation protocol that models embryonic 5meC dynamics. Mouse ESCs lacking DNA methylation machinery are able to exit naive pluripotency, thus allowing for dissection of subtle effects of CTCF on gene expression. We performed CTCF HiChIP in both wild-type and mutant conditions to assess gained CTCF-CTCF contacts in the absence of 5meC. We performed H3K27ac HiChIP to determine the impact that ectopic CTCF binding has on cis-regulatory contacts. Using 5meC epigenome editing, we demonstrated that the methyl-mark is able to impair CTCF binding at select loci. Finally, a detailed dissection of the imprinted Zdbf2 locus showed how 5meC-antagonism of CTCF allows for proper gene regulation during differentiation. This work provides a comprehensive overview of how 5meC impacts the 3D genome in a relevant model for early embryonic events.
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Affiliation(s)
| | | | - Margherita Scarpa
- Université Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France
| | - Daan Noordermeer
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), F-91998 Gif-sur-Yvette, France
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4
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Pacheco-Bernal I, Becerril-Pérez F, Bustamante-Zepeda M, González-Suárez M, Olmedo-Suárez MA, Hernández-Barrientos LR, Alarcón-Del-Carmen A, Escalante-Covarrubias Q, Mendoza-Viveros L, Hernández-Lemus E, León-Del-Río A, de la Rosa-Velázquez IA, Orozco-Solis R, Aguilar-Arnal L. Transitions in chromatin conformation shaped by fatty acids and the circadian clock underlie hepatic transcriptional reorganization in obese mice. Cell Mol Life Sci 2024; 81:309. [PMID: 39060446 PMCID: PMC11335233 DOI: 10.1007/s00018-024-05364-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 06/25/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024]
Abstract
The circadian clock system coordinates metabolic, physiological, and behavioral functions across a 24-h cycle, crucial for adapting to environmental changes. Disruptions in circadian rhythms contribute to major metabolic pathologies like obesity and Type 2 diabetes. Understanding the regulatory mechanisms governing circadian control is vital for identifying therapeutic targets. It is well characterized that chromatin remodeling and 3D structure at genome regulatory elements contributes to circadian transcriptional cycles; yet the impact of rhythmic chromatin topology in metabolic disease is largely unexplored. In this study, we explore how the spatial configuration of the genome adapts to diet, rewiring circadian transcription and contributing to dysfunctional metabolism. We describe daily fluctuations in chromatin contacts between distal regulatory elements of metabolic control genes in livers from lean and obese mice and identify specific lipid-responsive regions recruiting the clock molecular machinery. Interestingly, under high-fat feeding, a distinct interactome for the clock-controlled gene Dbp strategically promotes the expression of distal metabolic genes including Fgf21. Alongside, new chromatin loops between regulatory elements from genes involved in lipid metabolism control contribute to their transcriptional activation. These enhancers are responsive to lipids through CEBPβ, counteracting the circadian repressor REVERBa. Our findings highlight the intricate coupling of circadian gene expression to a dynamic nuclear environment under high-fat feeding, supporting a temporally regulated program of gene expression and transcriptional adaptation to diet.
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Affiliation(s)
- Ignacio Pacheco-Bernal
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Fernando Becerril-Pérez
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Marcia Bustamante-Zepeda
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Mirna González-Suárez
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Miguel A Olmedo-Suárez
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Luis Ricardo Hernández-Barrientos
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Alejandro Alarcón-Del-Carmen
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Quetzalcoatl Escalante-Covarrubias
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Lucía Mendoza-Viveros
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
- Laboratorio de Cronobiología, Metabolismo y Envejecimiento, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Centro de Investigacíon sobre el Envejecimiento, Centro de Investigación y de Estudios Avanzados (CIE-CINVESTAV), Mexico City, México
- Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, Mexico
| | - Enrique Hernández-Lemus
- Department of Computational Genomics, Centro de Ciencias de La Complejidad (C3), Instituto Nacional de Medicina Genómica (INMEGEN), Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Alfonso León-Del-Río
- Departamento de Medicina Genómica y Toxicología Ambiental, Programa Institucional de Cáncer de Mama, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Inti A de la Rosa-Velázquez
- Genomics Laboratory, Red de Apoyo a la Investigación-CIC, Universidad Nacional Autónoma de México, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080, Mexico City, Mexico
- Next Generation Sequencing Core Facility, Helmholtz Zentrum Muenchen, Ingolstaedter Landstr 1, 85754, Neuherberg, Germany
| | - Ricardo Orozco-Solis
- Laboratorio de Cronobiología, Metabolismo y Envejecimiento, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Centro de Investigacíon sobre el Envejecimiento, Centro de Investigación y de Estudios Avanzados (CIE-CINVESTAV), Mexico City, México
| | - Lorena Aguilar-Arnal
- Departamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
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5
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Pang QY, Chiu YC, Huang RYJ. Regulating epithelial-mesenchymal plasticity from 3D genome organization. Commun Biol 2024; 7:750. [PMID: 38902393 PMCID: PMC11190238 DOI: 10.1038/s42003-024-06441-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 06/11/2024] [Indexed: 06/22/2024] Open
Abstract
Epithelial-mesenchymal transition (EMT) is a dynamic process enabling polarized epithelial cells to acquire mesenchymal features implicated in development and carcinoma progression. As our understanding evolves, it is clear the reversible execution of EMT arises from complex epigenomic regulation involving histone modifications and 3-dimensional (3D) genome structural changes, leading to a cascade of transcriptional events. This review summarizes current knowledge on chromatin organization in EMT, with a focus on hierarchical structures of the 3D genome and chromatin accessibility changes.
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Affiliation(s)
- Qing You Pang
- Neuro-Oncology Research Laboratory, National Neuroscience Institute, Singapore, 308433, Singapore
| | - Yi-Chia Chiu
- School of Medicine, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan
| | - Ruby Yun-Ju Huang
- School of Medicine, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan.
- Center for Advanced Computing and Imaging in Biomedicine, National Taiwan University, Taipei, 10051, Taiwan.
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119077, Singapore.
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6
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Wagner T, Priyanka P, Micheletti R, Friedman MJ, Nair SJ, Gamliel A, Taylor H, Song X, Cho M, Oh S, Li W, Han J, Ohgi KA, Abrass M, D'Antonio-Chronowska A, D'Antonio M, Hazuda H, Duggirala R, Blangero J, Ding S, Guzmann C, Frazer KA, Aggarwal AK, Zemljic-Harpf AE, Rosenfeld MG, Suh Y. Recruitment of CTCF to the SIRT1 promoter after Oxidative Stress mediates Cardioprotective Transcription. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.17.594600. [PMID: 38798402 PMCID: PMC11118446 DOI: 10.1101/2024.05.17.594600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Because most DNA-binding transcription factors (dbTFs), including the architectural regulator CTCF, bind RNA and exhibit di-/multimerization, a central conundrum is whether these distinct properties are regulated post-transcriptionally to modulate transcriptional programs. Here, investigating stress-dependent activation of SIRT1, encoding an evolutionarily-conserved protein deacetylase, we show that induced phosphorylation of CTCF acts as a rheostat to permit CTCF occupancy of low-affinity promoter DNA sites to precisely the levels necessary. This CTCF recruitment to the SIRT1 promoter is eliciting a cardioprotective cardiomyocyte transcriptional activation program and provides resilience against the stress of the beating heart in vivo . Mice harboring a mutation in the conserved low-affinity CTCF promoter binding site exhibit an altered, cardiomyocyte-specific transcriptional program and a systolic heart failure phenotype. This transcriptional role for CTCF reveals that a covalent dbTF modification regulating signal-dependent transcription serves as a previously unsuspected component of the oxidative stress response.
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7
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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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8
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Kim KD, Lieberman PM. Viral remodeling of the 4D nucleome. Exp Mol Med 2024; 56:799-808. [PMID: 38658699 PMCID: PMC11058267 DOI: 10.1038/s12276-024-01207-0] [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: 11/17/2023] [Revised: 01/21/2024] [Accepted: 01/25/2024] [Indexed: 04/26/2024] Open
Abstract
The dynamic spatial organization of genomes across time, referred to as the four-dimensional nucleome (4DN), is a key component of gene regulation and biological fate. Viral infections can lead to a reconfiguration of viral and host genomes, impacting gene expression, replication, latency, and oncogenic transformation. This review provides a summary of recent research employing three-dimensional genomic methods such as Hi-C, 4C, ChIA-PET, and HiChIP in virology. We review how viruses induce changes in gene loop formation between regulatory elements, modify chromatin accessibility, and trigger shifts between A and B compartments in the host genome. We highlight the central role of cellular chromatin organizing factors, such as CTCF and cohesin, that reshape the 3D structure of both viral and cellular genomes. We consider how viral episomes, viral proteins, and viral integration sites can alter the host epigenome and how host cell type and conditions determine viral epigenomes. This review consolidates current knowledge of the diverse host-viral interactions that impact the 4DN.
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Affiliation(s)
- Kyoung-Dong Kim
- Department of Systems Biotechnology, Chung-Ang University, Anseong, Korea.
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9
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Tang L, Liao J, Hill MC, Hu J, Zhao Y, Ellinor P, Li M. MMCT-Loop: a mix model-based pipeline for calling targeted 3D chromatin loops. Nucleic Acids Res 2024; 52:e25. [PMID: 38281134 PMCID: PMC10954456 DOI: 10.1093/nar/gkae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 12/03/2023] [Accepted: 01/12/2024] [Indexed: 01/30/2024] Open
Abstract
Protein-specific Chromatin Conformation Capture (3C)-based technologies have become essential for identifying distal genomic interactions with critical roles in gene regulation. The standard techniques include Chromatin Interaction Analysis by Paired-End Tag (ChIA-PET), in situ Hi-C followed by chromatin immunoprecipitation (HiChIP) also known as PLAC-seq. To identify chromatin interactions from these data, a variety of computational methods have emerged. Although these state-of-art methods address many issues with loop calling, only few methods can fit different data types simultaneously, and the accuracy as well as the efficiency these approaches remains limited. Here we have generated a pipeline, MMCT-Loop, which ensures the accurate identification of strong loops as well as dynamic or weak loops through a mixed model. MMCT-Loop outperforms existing methods in accuracy, and the detected loops show higher activation functionality. To highlight the utility of MMCT-Loop, we applied it to conformational data derived from neural stem cell (NSCs) and uncovered several previously unidentified regulatory regions for key master regulators of stem cell identity. MMCT-Loop is an accurate and efficient loop caller for targeted conformation capture data, which supports raw data or pre-processed valid pairs as input, the output interactions are formatted and easily uploaded to a genome browser for visualization.
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Affiliation(s)
- Li Tang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China
| | - Jiaqi Liao
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China
| | - Matthew C Hill
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02129, USA
- Cardiovascular Disease Initiative, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Jiaxin Hu
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China
| | - Yichao Zhao
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02129, USA
- Cardiovascular Disease Initiative, The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Min Li
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China
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10
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Zhang Y, Boninsegna L, Yang M, Misteli T, Alber F, Ma J. Computational methods for analysing multiscale 3D genome organization. Nat Rev Genet 2024; 25:123-141. [PMID: 37673975 PMCID: PMC11127719 DOI: 10.1038/s41576-023-00638-1] [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] [Accepted: 07/12/2023] [Indexed: 09/08/2023]
Abstract
Recent progress in whole-genome mapping and imaging technologies has enabled the characterization of the spatial organization and folding of the genome in the nucleus. In parallel, advanced computational methods have been developed to leverage these mapping data to reveal multiscale three-dimensional (3D) genome features and to provide a more complete view of genome structure and its connections to genome functions such as transcription. Here, we discuss how recently developed computational tools, including machine-learning-based methods and integrative structure-modelling frameworks, have led to a systematic, multiscale delineation of the connections among different scales of 3D genome organization, genomic and epigenomic features, functional nuclear components and genome function. However, approaches that more comprehensively integrate a wide variety of genomic and imaging datasets are still needed to uncover the functional role of 3D genome structure in defining cellular phenotypes in health and disease.
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Affiliation(s)
- Yang Zhang
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Lorenzo Boninsegna
- Department of Microbiology, Immunology and Molecular Genetics and Institute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Muyu Yang
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Tom Misteli
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
| | - Frank Alber
- Department of Microbiology, Immunology and Molecular Genetics and Institute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.
| | - Jian Ma
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
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11
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Wilderman A, D'haene E, Baetens M, Yankee TN, Winchester EW, Glidden N, Roets E, Van Dorpe J, Janssens S, Miller DE, Galey M, Brown KM, Stottmann RW, Vergult S, Weaver KN, Brugmann SA, Cox TC, Cotney J. A distant global control region is essential for normal expression of anterior HOXA genes during mouse and human craniofacial development. Nat Commun 2024; 15:136. [PMID: 38167838 PMCID: PMC10762089 DOI: 10.1038/s41467-023-44506-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 12/14/2023] [Indexed: 01/05/2024] Open
Abstract
Craniofacial abnormalities account for approximately one third of birth defects. The regulatory programs that build the face require precisely controlled spatiotemporal gene expression, achieved through tissue-specific enhancers. Clusters of coactivated enhancers and their target genes, known as superenhancers, are important in determining cell identity but have been largely unexplored in development. In this study we identified superenhancer regions unique to human embryonic craniofacial tissue. To demonstrate the importance of such regions in craniofacial development and disease, we focused on an ~600 kb noncoding region located between NPVF and NFE2L3. We identified long range interactions with this region in both human and mouse embryonic craniofacial tissue with the anterior portion of the HOXA gene cluster. Mice lacking this superenhancer exhibit perinatal lethality, and present with highly penetrant skull defects and orofacial clefts phenocopying Hoxa2-/- mice. Moreover, we identified two cases of de novo copy number changes of the superenhancer in humans both with severe craniofacial abnormalities. This evidence suggests we have identified a critical noncoding locus control region that specifically regulates anterior HOXA genes and copy number changes are pathogenic in human patients.
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Affiliation(s)
| | - Eva D'haene
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Machteld Baetens
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | | | - Emma Wentworth Winchester
- Graduate Program UConn Health, Farmington, CT, USA
- University of Connecticut School of Dental Medicine, Farmington, CT, USA
| | - Nicole Glidden
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Ellen Roets
- Department of Obstetrics, Women's Clinic, Ghent University Hospital, Ghent, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Sandra Janssens
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Danny E Miller
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Washington, WA, USA
- Seattle Children's Hospital, Seattle, WA, 98195, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195, USA
- Brotman Baty Institute of Precision Medicine, University of Washington, Seattle, WA, 98195, USA
| | - Miranda Galey
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Washington, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195, USA
| | - Kari M Brown
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Rolf W Stottmann
- Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
- The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA
- Department of Pediatrics, The Ohio State University School of Medicine, Columbus, OH, USA
| | - Sarah Vergult
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - K Nicole Weaver
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Samantha A Brugmann
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Timothy C Cox
- Department of Oral & Craniofacial Sciences, University of Missouri Kansas City, Kansas City, MO, USA
- Department of Pediatrics, University of Missouri Kansas City, Kansas City, MO, USA
| | - Justin Cotney
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA.
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12
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He J, Wu Y, Chen M, Li W. Circular Chromosome Conformation Capture (4C-Seq) Analysis of HBV-Host Chromosome DNA Interactome. Methods Mol Biol 2024; 2837:45-58. [PMID: 39044074 DOI: 10.1007/978-1-0716-4027-2_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
Hepatitis B virus (HBV) infects hepatocytes that are in the G0/G1 phase with intact nuclear membrane and organized chromosome architecture. In the nucleus of the infected cells, HBV covalently closed circular (ccc) DNA, an episomal minichromosome, serves as the template for all viral transcripts and the reservoir of persistent infection. Nuclear positioning of cccDNA can be assessed by the spatial distance between viral DNA and host chromosomal DNA through Circular Chromosome Conformation Capture (4C) combined with high-throughput sequencing (4C-seq). The 4C-seq analysis relies on proximity ligation and is commonly used for mapping genomic DNA regions that communicate within a host chromosome. The method has been tailored for studying nuclear localization of HBV episomal cccDNA in relation to the host chromosomes. In this study, we present a step-by-step protocol for 4C-seq analysis of HBV infection, including sample collection and fixation, 4C DNA library preparation, sequence library preparation, and data analysis. Although limited by proximity ligation of DNA fragments, 4C-seq analysis provides useful information of HBV localization in 3D genome, and aids the understanding of viral transcription in light of host chromatin conformation.
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Affiliation(s)
- Jiabei He
- National Institute of Biological Sciences, Beijing, China
| | - Yumeng Wu
- National Institute of Biological Sciences, Beijing, China
| | - Mingyi Chen
- National Institute of Biological Sciences, Beijing, China
- Graduate Program in School of Life Sciences, Peking University, Beijing, China
| | - Wenhui Li
- National Institute of Biological Sciences, Beijing, China.
- Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China.
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13
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Wang C, Manders F, Groh L, Oldenkamp R, Logie C. Corticosteroid-induced chromatin loop dynamics at the FKBP5 gene. Ann N Y Acad Sci 2023; 1529:109-119. [PMID: 37796452 DOI: 10.1111/nyas.15064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
FKBP5 is a 115-kb-long glucocorticoid-inducible gene implicated in psychiatric disorders. To investigate the complexities of chromatin interaction frequencies at the FKBP5 topologically associated domain (TAD), we deployed 15 one-to-all chromatin capture viewpoints near gene promoters, enhancers, introns, and CTCF-loop anchors. This revealed a "one-TAD-one-gene" structure encompassing the FKBP5 promoter and its enhancers. The FKBP5 promoter and its two glucocorticoid-stimulated enhancers roam the entire TAD while displaying subtle cell type-specific interactomes. The FKBP5 TAD consists of two nested CTCF loops that are coordinated by one CTCF site in the eighth intron of FKBP5 and another beyond its polyadenylation site, 61 kb further. Loop extension correlates with transcription increases through the intronic CTCF site. This is efficiently compensated for, since the short loop is restored even under high transcription regimes. The boundaries of the FKBP5 TAD consist of divergent CTCF site patterns, harbor multiple smaller genes, and are resilient to glucocorticoid stimulation. Interestingly, both FKBP5 TAD boundaries harbor H3K27me3-marked heterochromatin blocks that may reinforce them. We propose that cis-acting genetic and epigenetic polymorphisms underlying FKBP5 expression variation are likely to reside within a 240-kb region that consists of the FKBP5 TAD, its left sub-TAD, and both its boundaries.
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Affiliation(s)
- Cheng Wang
- Department of Molecular Biology, Radboud Institute for Molecular Science, Faculty of Science, Radboud University, Nijmegen, The Netherlands
| | - Freek Manders
- Department of Molecular Biology, Radboud Institute for Molecular Science, Faculty of Science, Radboud University, Nijmegen, The Netherlands
- Gendx, Utrecht, The Netherlands
| | - Laszlo Groh
- Department of Molecular Biology, Radboud Institute for Molecular Science, Faculty of Science, Radboud University, Nijmegen, The Netherlands
- Department of Molecular Cell Biology and Immunology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Roel Oldenkamp
- Department of Molecular Biology, Radboud Institute for Molecular Science, Faculty of Science, Radboud University, Nijmegen, The Netherlands
- Division of Cell Biology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Colin Logie
- Department of Molecular Biology, Radboud Institute for Molecular Science, Faculty of Science, Radboud University, Nijmegen, The Netherlands
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14
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Mulet-Lazaro R, Delwel R. From Genotype to Phenotype: How Enhancers Control Gene Expression and Cell Identity in Hematopoiesis. Hemasphere 2023; 7:e969. [PMID: 37953829 PMCID: PMC10635615 DOI: 10.1097/hs9.0000000000000969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/11/2023] [Indexed: 11/14/2023] Open
Abstract
Blood comprises a wide array of specialized cells, all of which share the same genetic information and ultimately derive from the same precursor, the hematopoietic stem cell (HSC). This diversity of phenotypes is underpinned by unique transcriptional programs gradually acquired in the process known as hematopoiesis. Spatiotemporal regulation of gene expression depends on many factors, but critical among them are enhancers-sequences of DNA that bind transcription factors and increase transcription of genes under their control. Thus, hematopoiesis involves the activation of specific enhancer repertoires in HSCs and their progeny, driving the expression of sets of genes that collectively determine morphology and function. Disruption of this tightly regulated process can have catastrophic consequences: in hematopoietic malignancies, dysregulation of transcriptional control by enhancers leads to misexpression of oncogenes that ultimately drive transformation. This review attempts to provide a basic understanding of enhancers and their role in transcriptional regulation, with a focus on normal and malignant hematopoiesis. We present examples of enhancers controlling master regulators of hematopoiesis and discuss the main mechanisms leading to enhancer dysregulation in leukemia and lymphoma.
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Affiliation(s)
- Roger Mulet-Lazaro
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Ruud Delwel
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
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15
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Wei X, Tran D, Diao Y. HiCAR: Analysis of Open Chromatin Associated Long-range Chromatin Interaction Using Low-Input Materials. Curr Protoc 2023; 3:e899. [PMID: 37818863 PMCID: PMC10575683 DOI: 10.1002/cpz1.899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
Cis-regulatory elements (cREs) and their long-range interactions are crucial for spatial-temporal gene regulation. While cREs can be characterized as accessible chromatin sequences, comprehensively identifying their spatial interactions remains a challenge. We recently developed a method, HiCAR (Hi-C on Accessible Regulatory DNA), which combines Tn5 transposase and chromatin proximity ligation to analyze open chromatin-anchored interactions in low-input cells. Application of HiCAR in human embryonic stem cells and lymphoblastoid cells reveals high-resolution chromatin contacts with efficiency comparable to in situ Hi-C across various distance ranges. Moreover, HiCAR was successfully applied to 30,000 primary human muscle stem cells, showcasing its potential for analyzing chromatin accessibility and looping in low-input primary cells and clinical samples. Here, we provide a detailed step-by-step protocol to perform the updated HiCAR experiments. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Tn5 Transposase Assembly Basic Protocol 2: HiCAR Library Preparation.
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Affiliation(s)
- Xiaolin Wei
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA
| | - Duc Tran
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA
| | - Yarui Diao
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA
- Duke Regeneration Center, Duke University Medical Center, Durham, NC 27710, USA
- Center for Advanced Genomic Technologies, Duke University, Durham, NC 27708, USA
- Department of Orthopaedics Surgery, Duke University Medical Center, Durham, NC 27710, USA
- Department of Pathology, Duke University Medical Center, Durham, NC 27710, USA
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16
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Camera F, Romero-Camarero I, Revell BH, Amaral FM, Sinclair OJ, Simeoni F, Wiseman DH, Stojic L, Somervaille TC. Differentiation block in acute myeloid leukemia regulated by intronic sequences of FTO. iScience 2023; 26:107319. [PMID: 37539037 PMCID: PMC10393733 DOI: 10.1016/j.isci.2023.107319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/23/2023] [Accepted: 07/04/2023] [Indexed: 08/05/2023] Open
Abstract
Iroquois transcription factor gene IRX3 is highly expressed in 20-30% of acute myeloid leukemia (AML) and contributes to the pathognomonic differentiation block. Intron 8 FTO sequences ∼220kB downstream of IRX3 exhibit histone acetylation, DNA methylation, and contacts with the IRX3 promoter, which correlate with IRX3 expression. Deletion of these intronic elements confirms a role in positively regulating IRX3. RNAseq revealed long non-coding (lnc) transcripts arising from this locus. FTO-lncAML knockdown (KD) induced differentiation of AML cells, loss of clonogenic activity, and reduced FTO intron 8:IRX3 promoter contacts. While both FTO-lncAML KD and IRX3 KD induced differentiation, FTO-lncAML but not IRX3 KD led to HOXA downregulation suggesting transcript activity in trans. FTO-lncAMLhigh AML samples expressed higher levels of HOXA and lower levels of differentiation genes. Thus, a regulatory module in FTO intron 8 consisting of clustered enhancer elements and a long non-coding RNA is active in human AML, impeding myeloid differentiation.
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Affiliation(s)
- Francesco Camera
- Leukaemia Biology Laboratory, Cancer Research UK Manchester Institute, The University of Manchester, The Oglesby Cancer Research Centre Building, 555 Wilmslow Road, M20 4GJ Manchester, UK
| | - Isabel Romero-Camarero
- Leukaemia Biology Laboratory, Cancer Research UK Manchester Institute, The University of Manchester, The Oglesby Cancer Research Centre Building, 555 Wilmslow Road, M20 4GJ Manchester, UK
| | - Bradley H. Revell
- Leukaemia Biology Laboratory, Cancer Research UK Manchester Institute, The University of Manchester, The Oglesby Cancer Research Centre Building, 555 Wilmslow Road, M20 4GJ Manchester, UK
| | - Fabio M.R. Amaral
- Leukaemia Biology Laboratory, Cancer Research UK Manchester Institute, The University of Manchester, The Oglesby Cancer Research Centre Building, 555 Wilmslow Road, M20 4GJ Manchester, UK
| | - Oliver J. Sinclair
- Leukaemia Biology Laboratory, Cancer Research UK Manchester Institute, The University of Manchester, The Oglesby Cancer Research Centre Building, 555 Wilmslow Road, M20 4GJ Manchester, UK
| | - Fabrizio Simeoni
- Leukaemia Biology Laboratory, Cancer Research UK Manchester Institute, The University of Manchester, The Oglesby Cancer Research Centre Building, 555 Wilmslow Road, M20 4GJ Manchester, UK
| | - Daniel H. Wiseman
- Epigenetics of Haematopoiesis Group, Oglesby Cancer Research Building, The University of Manchester, M20 4GJ Manchester, UK
| | - Lovorka Stojic
- Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, EC1M 6BQ London, UK
| | - Tim C.P. Somervaille
- Leukaemia Biology Laboratory, Cancer Research UK Manchester Institute, The University of Manchester, The Oglesby Cancer Research Centre Building, 555 Wilmslow Road, M20 4GJ Manchester, UK
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17
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Rahme GJ, Javed NM, Puorro KL, Xin S, Hovestadt V, Johnstone SE, Bernstein BE. Modeling epigenetic lesions that cause gliomas. Cell 2023; 186:3674-3685.e14. [PMID: 37494934 PMCID: PMC10530192 DOI: 10.1016/j.cell.2023.06.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/15/2023] [Accepted: 06/27/2023] [Indexed: 07/28/2023]
Abstract
Epigenetic lesions that disrupt regulatory elements represent potential cancer drivers. However, we lack experimental models for validating their tumorigenic impact. Here, we model aberrations arising in isocitrate dehydrogenase-mutant gliomas, which exhibit DNA hypermethylation. We focus on a CTCF insulator near the PDGFRA oncogene that is recurrently disrupted by methylation in these tumors. We demonstrate that disruption of the syntenic insulator in mouse oligodendrocyte progenitor cells (OPCs) allows an OPC-specific enhancer to contact and induce Pdgfra, thereby increasing proliferation. We show that a second lesion, methylation-dependent silencing of the Cdkn2a tumor suppressor, cooperates with insulator loss in OPCs. Coordinate inactivation of the Pdgfra insulator and Cdkn2a drives gliomagenesis in vivo. Despite locus synteny, the insulator is CpG-rich only in humans, a feature that may confer human glioma risk but complicates mouse modeling. Our study demonstrates the capacity of recurrent epigenetic lesions to drive OPC proliferation in vitro and gliomagenesis in vivo.
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Affiliation(s)
- Gilbert J Rahme
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Departments of Cell Biology and Pathology, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Nauman M Javed
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Departments of Cell Biology and Pathology, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kaitlyn L Puorro
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Shouhui Xin
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Volker Hovestadt
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Sarah E Johnstone
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Bradley E Bernstein
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Departments of Cell Biology and Pathology, Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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18
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Wu X, Wu X, Xie W. Activation, decommissioning, and dememorization: enhancers in a life cycle. Trends Biochem Sci 2023; 48:673-688. [PMID: 37221124 DOI: 10.1016/j.tibs.2023.04.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 04/15/2023] [Accepted: 04/18/2023] [Indexed: 05/25/2023]
Abstract
Spatiotemporal regulation of cell type-specific gene expression is essential to convert a zygote into a complex organism that contains hundreds of distinct cell types. A class of cis-regulatory elements called enhancers, which have the potential to enhance target gene transcription, are crucial for precise gene expression programs during development. Following decades of research, many enhancers have been discovered and how enhancers become activated has been extensively studied. However, the mechanisms underlying enhancer silencing are less well understood. We review current understanding of enhancer decommissioning and dememorization, both of which enable enhancer silencing. We highlight recent progress from genome-wide perspectives that have revealed the life cycle of enhancers and how its dynamic regulation underlies cell fate transition, development, cell regeneration, and epigenetic reprogramming.
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Affiliation(s)
- Xiaotong Wu
- Tsinghua-Peking Center for Life Sciences, New Cornerstone Science Laboratory, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China; Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Xi Wu
- Tsinghua-Peking Center for Life Sciences, New Cornerstone Science Laboratory, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Wei Xie
- Tsinghua-Peking Center for Life Sciences, New Cornerstone Science Laboratory, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
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19
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Venkatesan V, Christopher AC, Rhiel M, Azhagiri MKK, Babu P, Walavalkar K, Saravanan B, Andrieux G, Rangaraj S, Srinivasan S, Karuppusamy KV, Jacob A, Bagchi A, Pai AA, Nakamura Y, Kurita R, Balasubramanian P, Pai R, Marepally SK, Mohankumar KM, Velayudhan SR, Boerries M, Notani D, Cathomen T, Srivastava A, Thangavel S. Editing the core region in HPFH deletions alters fetal and adult globin expression for treatment of β-hemoglobinopathies. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 32:671-688. [PMID: 37215154 PMCID: PMC10197010 DOI: 10.1016/j.omtn.2023.04.024] [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: 12/17/2022] [Accepted: 04/24/2023] [Indexed: 05/24/2023]
Abstract
Reactivation of fetal hemoglobin (HbF) is a commonly adapted strategy to ameliorate β-hemoglobinopathies. However, the continued production of defective adult hemoglobin (HbA) limits HbF tetramer production affecting the therapeutic benefits. Here, we evaluated deletional hereditary persistence of fetal hemoglobin (HPFH) mutations and identified an 11-kb sequence, encompassing putative repressor region (PRR) to β-globin exon-1 (βE1), as the core deletion that ablates HbA and exhibits superior HbF production compared with HPFH or other well-established targets. PRR-βE1-edited hematopoietic stem and progenitor cells (HSPCs) retained their genome integrity and their engraftment potential to repopulate for long-term hematopoiesis in immunocompromised mice producing HbF positive cells in vivo. Furthermore, PRR-βE1 gene editing is feasible without ex vivo HSPC culture. Importantly, the editing induced therapeutically significant levels of HbF to reverse the phenotypes of both sickle cell disease and β-thalassemia major. These findings imply that PRR-βE1 gene editing of patient HSPCs could lead to improved therapeutic outcomes for β-hemoglobinopathy gene therapy.
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Affiliation(s)
- Vigneshwaran Venkatesan
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
- Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Abisha Crystal Christopher
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
| | - Manuel Rhiel
- Institute for Transfusion Medicine and Gene Therapy, Medical Center – University of Freiburg, 79106 Freiburg, Germany
- Center for Chronic Immunodeficiency, Medical Faculty, University of Freiburg, 79106 Freiburg, Germany
| | - Manoj Kumar K. Azhagiri
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
- Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Prathibha Babu
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
- Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Kaivalya Walavalkar
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka 560065, India
| | - Bharath Saravanan
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka 560065, India
| | - Geoffroy Andrieux
- Institute of Medical Bioinformatics and Systems Medicine, Faculty of Medicine & Medical Center - University of Freiburg, 79106 Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Sumathi Rangaraj
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
| | - Saranya Srinivasan
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
| | - Karthik V. Karuppusamy
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
- Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Annlin Jacob
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
| | - Abhirup Bagchi
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
| | - Aswin Anand Pai
- Department of Hematology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Yukio Nakamura
- Cell Engineering Division, RIKEN BioResource Research Center, Ibaraki 3050074, Japan
| | - Ryo Kurita
- Cell Engineering Division, RIKEN BioResource Research Center, Ibaraki 3050074, Japan
| | | | - Rekha Pai
- Department of Pathology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Srujan Kumar Marepally
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
| | | | - Shaji R. Velayudhan
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
- Department of Hematology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Melanie Boerries
- Institute of Medical Bioinformatics and Systems Medicine, Faculty of Medicine & Medical Center - University of Freiburg, 79106 Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Dimple Notani
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka 560065, India
| | - Toni Cathomen
- Institute for Transfusion Medicine and Gene Therapy, Medical Center – University of Freiburg, 79106 Freiburg, Germany
- Center for Chronic Immunodeficiency, Medical Faculty, University of Freiburg, 79106 Freiburg, Germany
| | - Alok Srivastava
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
- Department of Hematology, Christian Medical College, Vellore, Tamil Nadu 632004, India
| | - Saravanabhavan Thangavel
- Centre for Stem Cell Research (CSCR), A Unit of InStem Bengaluru, Christian Medical College Campus, Vellore, Tamil Nadu 632002, India
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20
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Iyer AR, Gurumurthy A, Kodgule R, Aguilar AR, Saari T, Ramzan A, Rausch D, Gupta J, Hall CN, Runge JS, Weiss M, Rahmat M, Anyoha R, Fulco CP, Ghobrial IM, Engreitz J, Cieslik MP, Ryan RJH. Selective Enhancer Dependencies in MYC -Intact and MYC -Rearranged Germinal Center B-cell Diffuse Large B-cell Lymphoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.02.538892. [PMID: 37205448 PMCID: PMC10187217 DOI: 10.1101/2023.05.02.538892] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
High expression of MYC and its target genes define a subset of germinal center B-cell diffuse large B-cell lymphoma (GCB-DLBCL) associated with poor outcomes. Half of these high-grade cases show chromosomal rearrangements between the MYC locus and heterologous enhancer-bearing loci, while focal deletions of the adjacent non-coding gene PVT1 are enriched in MYC -intact cases. To identify genomic drivers of MYC activation, we used high-throughput CRISPR-interference (CRISPRi) profiling of candidate enhancers in the MYC locus and rearrangement partner loci in GCB-DLBCL cell lines and mantle cell lymphoma (MCL) comparators that lacked common rearrangements between MYC and immunoglobulin (Ig) loci. Rearrangements between MYC and non-Ig loci were associated with unique dependencies on specific enhancer subunits within those partner loci. Notably, fitness dependency on enhancer modules within the BCL6 super-enhancer ( BCL6 -SE) cluster regulated by a transcription factor complex of MEF2B, POU2F2, and POU2AF1 was higher in cell lines bearing a recurrent MYC::BCL6 -SE rearrangement. In contrast, GCB-DLBCL cell lines without MYC rearrangement were highly dependent on a previously uncharacterized 3' enhancer within the MYC locus itself (GCBME-1), that is regulated in part by the same triad of factors. GCBME-1 is evolutionarily conserved and active in normal germinal center B cells in humans and mice, suggesting a key role in normal germinal center B cell biology. Finally, we show that the PVT1 promoter limits MYC activation by either native or heterologous enhancers and demonstrate that this limitation is bypassed by 3' rearrangements that remove PVT1 from its position in cis with the rearranged MYC gene. Key points CRISPR-interference screens identify a conserved germinal center B cell MYC enhancer that is essential for GCB-DLBCL lacking MYC rearrangements. Functional profiling of MYC partner loci reveals principles of MYC enhancer-hijacking activation by non-immunoglobulin rearrangements.
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21
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Glancy E, Wang C, Tuck E, Healy E, Amato S, Neikes HK, Mariani A, Mucha M, Vermeulen M, Pasini D, Bracken AP. PRC2.1- and PRC2.2-specific accessory proteins drive recruitment of different forms of canonical PRC1. Mol Cell 2023; 83:1393-1411.e7. [PMID: 37030288 PMCID: PMC10168607 DOI: 10.1016/j.molcel.2023.03.018] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 01/19/2023] [Accepted: 03/16/2023] [Indexed: 04/10/2023]
Abstract
Polycomb repressive complex 2 (PRC2) mediates H3K27me3 deposition, which is thought to recruit canonical PRC1 (cPRC1) via chromodomain-containing CBX proteins to promote stable repression of developmental genes. PRC2 forms two major subcomplexes, PRC2.1 and PRC2.2, but their specific roles remain unclear. Through genetic knockout (KO) and replacement of PRC2 subcomplex-specific subunits in naïve and primed pluripotent cells, we uncover distinct roles for PRC2.1 and PRC2.2 in mediating the recruitment of different forms of cPRC1. PRC2.1 catalyzes the majority of H3K27me3 at Polycomb target genes and is sufficient to promote recruitment of CBX2/4-cPRC1 but not CBX7-cPRC1. Conversely, while PRC2.2 is poor at catalyzing H3K27me3, we find that its accessory protein JARID2 is essential for recruitment of CBX7-cPRC1 and the consequent 3D chromatin interactions at Polycomb target genes. We therefore define distinct contributions of PRC2.1- and PRC2.2-specific accessory proteins to Polycomb-mediated repression and uncover a new mechanism for cPRC1 recruitment.
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Affiliation(s)
- Eleanor Glancy
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Cheng Wang
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Ellen Tuck
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Evan Healy
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Simona Amato
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139 Milan, Italy
| | - Hannah K Neikes
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands
| | - Andrea Mariani
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139 Milan, Italy
| | - Marlena Mucha
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Michiel Vermeulen
- Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute, Radboud University Nijmegen, 6525 GA Nijmegen, the Netherlands; The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Diego Pasini
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139 Milan, Italy; Department of Health Sciences, University of Milan, Via A. di Rudini 8, 20142 Milan, Italy
| | - Adrian P Bracken
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland.
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22
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An autoimmune pleiotropic SNP modulates IRF5 alternative promoter usage through ZBTB3-mediated chromatin looping. Nat Commun 2023; 14:1208. [PMID: 36869052 PMCID: PMC9984425 DOI: 10.1038/s41467-023-36897-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 02/22/2023] [Indexed: 03/05/2023] Open
Abstract
Genetic sharing is extensively observed for autoimmune diseases, but the causal variants and their underlying molecular mechanisms remain largely unknown. Through systematic investigation of autoimmune disease pleiotropic loci, we found most of these shared genetic effects are transmitted from regulatory code. We used an evidence-based strategy to functionally prioritize causal pleiotropic variants and identify their target genes. A top-ranked pleiotropic variant, rs4728142, yielded many lines of evidence as being causal. Mechanistically, the rs4728142-containing region interacts with the IRF5 alternative promoter in an allele-specific manner and orchestrates its upstream enhancer to regulate IRF5 alternative promoter usage through chromatin looping. A putative structural regulator, ZBTB3, mediates the allele-specific loop to promote IRF5-short transcript expression at the rs4728142 risk allele, resulting in IRF5 overactivation and M1 macrophage polarization. Together, our findings establish a causal mechanism between the regulatory variant and fine-scale molecular phenotype underlying the dysfunction of pleiotropic genes in human autoimmunity.
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23
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Guo J, Zhang Z, Li Q, Chang X, Liu X. TeCD: The eccDNA Collection Database for extrachromosomal circular DNA. BMC Genomics 2023; 24:47. [PMID: 36707765 PMCID: PMC9881285 DOI: 10.1186/s12864-023-09135-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 01/13/2023] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Extrachromosomal circular DNA (eccDNA) is a kind of DNA that widely exists in eukaryotic cells. Studies in recent years have shown that eccDNA is often enriched during tumors and aging, and participates in the development of cell physiological activities in a special way, so people have paid more and more attention to the eccDNA, and it has also become a critical new topic in modern biological research. DESCRIPTION We built a database to collect eccDNA, including animals, plants and fungi, and provide researchers with an eccDNA retrieval platform. The collected eccDNAs were processed in a uniform format and classified according to the species to which it belongs and the chromosome of the source. Each eccDNA record contained sequence length, start and end sites on the corresponding chromosome, order of the bases, genomic elements such as genes and transposons, and other information in the respective sequencing experiment. All the data were stored into the TeCD (The eccDNA Collection Database) and the BLAST (Basic Local Alignment Search Tool) sequence alignment function was also added into the database for analyzing the potential eccDNA sequences. CONCLUSION We built TeCD, a platform for users to search and obtain eccDNA data, and analyzed the possible potential functions of eccDNA. These findings may provide a basis and direction for researchers to further explore the biological significance of eccDNA in the future.
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Affiliation(s)
- Jing Guo
- grid.410726.60000 0004 1797 8419Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310013 China ,grid.410726.60000 0004 1797 8419Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310013 China ,grid.464226.00000 0004 1760 7263Institute of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu, 233030 China ,grid.27255.370000 0004 1761 1174School of Mathematics and Statistics, Shandong University, Weihai, 264209 Shandong China
| | - Ze Zhang
- grid.410726.60000 0004 1797 8419Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310013 China ,grid.410726.60000 0004 1797 8419Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310013 China ,grid.410726.60000 0004 1797 8419School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310013 China
| | - Qingcui Li
- grid.410726.60000 0004 1797 8419School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310013 China
| | - Xiao Chang
- grid.464226.00000 0004 1760 7263Institute of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu, 233030 China
| | - Xiaoping Liu
- grid.410726.60000 0004 1797 8419Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310013 China ,grid.410726.60000 0004 1797 8419Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310013 China ,grid.27255.370000 0004 1761 1174School of Mathematics and Statistics, Shandong University, Weihai, 264209 Shandong China
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24
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Hing ZA, Walker JS, Whipp EC, Brinton L, Cannon M, Zhang P, Sher S, Cempre CB, Brown F, Smith PL, Agostinelli C, Pileri SA, Skinner JN, Williams K, Phillips H, Shaffer J, Beaver LP, Pan A, Shin K, Gregory CT, Ozer GH, Yilmaz SA, Harrington BK, Lehman AM, Yu L, Coppola V, Yan P, Scherle P, Wang M, Pitis P, Xu C, Vaddi K, Chen-Kiang S, Woyach J, Blachly JS, Alinari L, Yang Y, Byrd JC, Baiocchi RA, Blaser BW, Lapalombella R. Dysregulation of PRMT5 in chronic lymphocytic leukemia promotes progression with high risk of Richter's transformation. Nat Commun 2023; 14:97. [PMID: 36609611 PMCID: PMC9823097 DOI: 10.1038/s41467-022-35778-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 12/22/2022] [Indexed: 01/08/2023] Open
Abstract
Richter's Transformation (RT) is a poorly understood and fatal progression of chronic lymphocytic leukemia (CLL) manifesting histologically as diffuse large B-cell lymphoma. Protein arginine methyltransferase 5 (PRMT5) is implicated in lymphomagenesis, but its role in CLL or RT progression is unknown. We demonstrate herein that tumors uniformly overexpress PRMT5 in patients with progression to RT. Furthermore, mice with B-specific overexpression of hPRMT5 develop a B-lymphoid expansion with increased risk of death, and Eµ-PRMT5/TCL1 double transgenic mice develop a highly aggressive disease with transformation that histologically resembles RT; where large-scale transcriptional profiling identifies oncogenic pathways mediating PRMT5-driven disease progression. Lastly, we report the development of a SAM-competitive PRMT5 inhibitor, PRT382, with exclusive selectivity and optimal in vitro and in vivo activity compared to available PRMT5 inhibitors. Taken together, the discovery that PRMT5 drives oncogenic pathways promoting RT provides a compelling rationale for clinical investigation of PRMT5 inhibitors such as PRT382 in aggressive CLL/RT cases.
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Affiliation(s)
- Zachary A Hing
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Janek S Walker
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Ethan C Whipp
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Lindsey Brinton
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Matthew Cannon
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Pu Zhang
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Steven Sher
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Casey B Cempre
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Fiona Brown
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Porsha L Smith
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Claudio Agostinelli
- Haematopathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Stefano A Pileri
- European Institute of Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
- Department of Specialized, Experimental and Diagnostic Medicine, University of Bologna, Bologna, Italy
| | - Jordan N Skinner
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Katie Williams
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Hannah Phillips
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Jami Shaffer
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Larry P Beaver
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Alexander Pan
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Kyle Shin
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Charles T Gregory
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Gulcin H Ozer
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Selen A Yilmaz
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Bonnie K Harrington
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, The Ohio State University, Columbus, OH, USA
- Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI, USA
| | - Amy M Lehman
- Center for Biostatistics, The Ohio State University, Columbus, OH, USA
| | - Lianbo Yu
- Center for Biostatistics, The Ohio State University, Columbus, OH, USA
| | - Vincenzo Coppola
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Pearlly Yan
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | | | - Min Wang
- Prelude Therapeutics, Wilmington, DE, USA
| | | | - Chaoyi Xu
- Prelude Therapeutics, Wilmington, DE, USA
| | - Kris Vaddi
- Prelude Therapeutics, Wilmington, DE, USA
| | - Selina Chen-Kiang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jennifer Woyach
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - James S Blachly
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Lapo Alinari
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Yiping Yang
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - John C Byrd
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Robert A Baiocchi
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Bradley W Blaser
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Rosa Lapalombella
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA.
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25
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Huang Z, Efthymiadou A, Liang N, Fan R, Treuter E. Antagonistic action of GPS2 and KDM1A at enhancers governs alternative macrophage activation by interleukin 4. Nucleic Acids Res 2023; 51:1067-1086. [PMID: 36610795 PMCID: PMC9943668 DOI: 10.1093/nar/gkac1230] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 11/24/2022] [Accepted: 01/02/2023] [Indexed: 01/09/2023] Open
Abstract
The Th2 cytokine interleukin 4 (IL4) promotes macrophage differentiation into alternative subtypes and plays important roles in physiology, in metabolic and inflammatory diseases, in cancer and in tissue regeneration. While the regulatory transcription factor networks governing IL4 signaling are already well-characterized, it is currently less understood which transcriptional coregulators are involved and how they operate mechanistically. In this study, we discover that G protein pathway suppressor 2 (GPS2), a core subunit of the HDAC3 corepressor complex assembled by SMRT and NCOR, represses IL4-dependent enhancer activation in mouse macrophages. Our genome-wide and gene-specific characterization revealed that, instead of directly repressing STAT6, chromatin-bound GPS2 cooperates with SMRT and NCOR to antagonize enhancer activation by lysine demethylase 1A (KDM1A, LSD1). Mechanistically, corepressor depletion increased KDM1A recruitment to enhancers linked to IL4-induced genes, accompanied by demethylation of the repressive histone marks H3K9me2/3 without affecting H3K4me1/2, the classic KDM1A substrates for demethylation in other cellular contexts. This in turn caused enhancer and gene activation already in the absence of IL4/STAT6 and sensitized the STAT6-dependent IL4 responsiveness of macrophages. Thus, our work identified with the antagonistic action of a GPS2-containing corepressor complex and the lysine demethylase KDM1A a hitherto unknown epigenetic corepressor-coactivator switching mechanism that governs alternative macrophage activation.
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Affiliation(s)
- Zhiqiang Huang
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183 Huddinge, Sweden
| | - Astradeni Efthymiadou
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183 Huddinge, Sweden
| | - Ning Liang
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183 Huddinge, Sweden
| | - Rongrong Fan
- Correspondence may also be addressed to Rongrong Fan. Tel: +46 8 524 81161;
| | - Eckardt Treuter
- To whom correspondence should be addressed. Tel: +46 8 524 81060;
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26
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Islam Z, Saravanan B, Walavalkar K, Farooq U, Singh AK, Radhakrishnan S, Thakur J, Pandit A, Henikoff S, Notani D. Active enhancers strengthen insulation by RNA-mediated CTCF binding at chromatin domain boundaries. Genome Res 2023; 33:1-17. [PMID: 36650052 PMCID: PMC9977152 DOI: 10.1101/gr.276643.122] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 11/10/2022] [Indexed: 01/19/2023]
Abstract
Vertebrate genomes are partitioned into chromatin domains or topologically associating domains (TADs), which are typically bound by head-to-head pairs of CTCF binding sites. Transcription at domain boundaries correlates with better insulation; however, it is not known whether the boundary transcripts themselves contribute to boundary function. Here we characterize boundary-associated RNAs genome-wide, focusing on the disease-relevant INK4a/ARF and MYC TAD. Using CTCF site deletions and boundary-associated RNA knockdowns, we observe that boundary-associated RNAs facilitate recruitment and clustering of CTCF at TAD borders. The resulting CTCF enrichment enhances TAD insulation, enhancer-promoter interactions, and TAD gene expression. Importantly, knockdown of boundary-associated RNAs results in loss of boundary insulation function. Using enhancer deletions and CRISPRi of promoters, we show that active TAD enhancers, but not promoters, induce boundary-associated RNA transcription, thus defining a novel class of regulatory enhancer RNAs.
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Affiliation(s)
- Zubairul Islam
- National Center for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka 560065, India;,Sastra Deemed University, Thanjavur, Tamil Nadu 613401, India
| | - Bharath Saravanan
- National Center for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka 560065, India;,Sastra Deemed University, Thanjavur, Tamil Nadu 613401, India
| | - Kaivalya Walavalkar
- National Center for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka 560065, India
| | - Umer Farooq
- National Center for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka 560065, India;,The University of Trans-Disciplinary Health Sciences and Technology, Bangalore, Karnataka 560064, India
| | - Anurag Kumar Singh
- National Center for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka 560065, India
| | - Sabarinathan Radhakrishnan
- National Center for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka 560065, India
| | - Jitendra Thakur
- Department of Biology, Emory University, Atlanta, Georgia 30322, USA
| | - Awadhesh Pandit
- National Center for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka 560065, India
| | - Steven Henikoff
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Dimple Notani
- National Center for Biological Sciences, Tata Institute for Fundamental Research, Bangalore, Karnataka 560065, India
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27
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Kim KD, Lieberman PM. 4C Analysis of EBV-Host DNA Interactome. Methods Mol Biol 2023; 2610:99-107. [PMID: 36534285 DOI: 10.1007/978-1-0716-2895-9_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
EBV persist as multicopy episomes in latently infected cells and alter transcriptional program of host systems. Knowledge of EBV tethering site helps us understand how EBV attaches to and regulates the host chromosome. Here, we introduce a step-by-step protocol for 4C-seq analysis, including cell fixation, 4C-DNA construction, and sequencing library preparation performed with EBV-positive Burkitt's lymphoma cells. The method can be applied in a variety of studies and cell-types to identify target loci associated with bait positions, such as viral episomes.
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Affiliation(s)
- Kyoung-Dong Kim
- Department of Systems Biotechnology, Chung-Ang University, Anseong, South Korea.
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28
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Kim ET, Kim KD. Topological implications of DNA tumor viral episomes. BMB Rep 2022; 55:587-594. [PMID: 36379513 PMCID: PMC9813422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Indexed: 12/29/2022] Open
Abstract
A persistent DNA tumor virus infection transforms normal cells into cancer cells by either integrating its genome into host chromosomes or retaining it as an extrachromosomal entity called episome. Viruses have evolved mechanisms for attaching episomes to infected host cell chromatin to efficiently segregate the viral genome during mitosis. It has been reported that viral episome can affect the gene expression of the host chromosomes through interactions between viral episomes and epigenetic regulatory host factors. This mini review summarizes our current knowledge of the tethering sites of viral episomes, such as EBV, KSHV, and HBV, on host chromosomes analyzed by three-dimensional genomic tools. [BMB Reports 2022; 55(12): 587-594].
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Affiliation(s)
- Eui Tae Kim
- Department of Microbiology and Immunology, Jeju National University College of Medicine, Jeju 63241, Korea,Department of Biomedicine & Drug Development, Jeju National University, Jeju 63241, Korea
| | - Kyoung-Dong Kim
- Department of Systems Biotechnology, Chung-Ang University, Anseong 17546, Korea,Corresponding author. Tel: +82-31-670-3359; Fax: +82-31-675-3108; E-mail:
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29
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Ding T, Zhang H. Novel biological insights revealed from the investigation of multiscale genome architecture. Comput Struct Biotechnol J 2022; 21:312-325. [PMID: 36582436 PMCID: PMC9791078 DOI: 10.1016/j.csbj.2022.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 12/06/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
Gene expression and cell fate determination require precise and coordinated epigenetic regulation. The complex three-dimensional (3D) genome organization plays a critical role in transcription in myriad biological processes. A wide range of architectural features of the 3D genome, including chromatin loops, topologically associated domains (TADs), chromatin compartments, and phase separation, together regulate the chromatin state and transcriptional activity at multiple levels. With the help of 3D genome informatics, recent biochemistry and imaging approaches based on different strategies have revealed functional interactions among biomacromolecules, even at the single-cell level. Here, we review the occurrence, mechanistic basis, and functional implications of dynamic genome organization, and outline recent experimental and computational approaches for profiling multiscale genome architecture to provide robust tools for studying the 3D genome.
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Affiliation(s)
- Tianyi Ding
- Institute for Regenerative Medicine of Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China
| | - He Zhang
- Institute for Regenerative Medicine of Shanghai East Hospital, Frontier Science Research Center for Stem Cells, School of Life Science and Technology, Tongji University, Shanghai, PR China
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30
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A novel intergenic enhancer that regulates Bdnf expression in developing cortical neurons. iScience 2022; 26:105695. [PMID: 36582820 PMCID: PMC9792897 DOI: 10.1016/j.isci.2022.105695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 09/29/2022] [Accepted: 11/24/2022] [Indexed: 12/03/2022] Open
Abstract
Brain-derived neurotrophic factor (BDNF) promotes neuronal differentiation and survival and is implicated in the pathogenesis of many neurological disorders. Here, we identified a novel intergenic enhancer located 170 kb from the Bdnf gene, which promotes the expression of Bdnf transcript variants during mouse neuronal differentiation and activity. Following Bdnf activation, enhancer-promoter contacts increase, and the region moves away from the repressive nuclear periphery. Bdnf enhancer activity is necessary for neuronal clustering and dendritogenesis in vitro, and for cortical development in vivo. Our findings provide the first evidence of a regulatory mechanism whereby the activation of a distal enhancer promotes Bdnf expression during brain development.
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31
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Luan J, Vermunt MW, Syrett CM, Coté A, Tome JM, Zhang H, Huang A, Luppino JM, Keller CA, Giardine BM, Zhang S, Dunagin MC, Zhang Z, Joyce EF, Lis JT, Raj A, Hardison RC, Blobel GA. CTCF blocks antisense transcription initiation at divergent promoters. Nat Struct Mol Biol 2022; 29:1136-1144. [PMID: 36369346 DOI: 10.1101/2021.10.30.465508] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/29/2022] [Indexed: 05/26/2023]
Abstract
Transcription at most promoters is divergent, initiating at closely spaced oppositely oriented core promoters to produce sense transcripts along with often unstable upstream antisense transcripts (uasTrx). How antisense transcription is regulated and to what extent it is coordinated with sense transcription is not well understood. Here, by combining acute degradation of the multi-functional transcription factor CTCF and nascent transcription measurements, we find that CTCF specifically suppresses antisense but not sense transcription at hundreds of divergent promoters. Primary transcript RNA-FISH shows that CTCF lowers burst fraction but not burst intensity of uasTrx and that co-bursting of sense and antisense transcripts is disfavored. Genome editing, chromatin conformation studies and high-resolution transcript mapping revealed that precisely positioned CTCF directly suppresses the initiation of uasTrx, in a manner independent of its architectural function. In sum, CTCF shapes the transcriptional landscape in part by suppressing upstream antisense transcription.
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Affiliation(s)
- Jing Luan
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marit W Vermunt
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Camille M Syrett
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Clarion Healthcare, LLC, Boston, MA, USA
| | - Allison Coté
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacob M Tome
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
- Shape Therapeutics Inc, Seattle, WA, USA
| | - Haoyue Zhang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, China
| | - Anran Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jennifer M Luppino
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Belinda M Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Shiping Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Margaret C Dunagin
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhe Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Eric F Joyce
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - John T Lis
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Arjun Raj
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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Luan J, Vermunt MW, Syrett CM, Coté A, Tome JM, Zhang H, Huang A, Luppino JM, Keller CA, Giardine BM, Zhang S, Dunagin MC, Zhang Z, Joyce EF, Lis JT, Raj A, Hardison RC, Blobel GA. CTCF blocks antisense transcription initiation at divergent promoters. Nat Struct Mol Biol 2022; 29:1136-1144. [PMID: 36369346 PMCID: PMC10015438 DOI: 10.1038/s41594-022-00855-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/29/2022] [Indexed: 11/13/2022]
Abstract
Transcription at most promoters is divergent, initiating at closely spaced oppositely oriented core promoters to produce sense transcripts along with often unstable upstream antisense transcripts (uasTrx). How antisense transcription is regulated and to what extent it is coordinated with sense transcription is not well understood. Here, by combining acute degradation of the multi-functional transcription factor CTCF and nascent transcription measurements, we find that CTCF specifically suppresses antisense but not sense transcription at hundreds of divergent promoters. Primary transcript RNA-FISH shows that CTCF lowers burst fraction but not burst intensity of uasTrx and that co-bursting of sense and antisense transcripts is disfavored. Genome editing, chromatin conformation studies and high-resolution transcript mapping revealed that precisely positioned CTCF directly suppresses the initiation of uasTrx, in a manner independent of its architectural function. In sum, CTCF shapes the transcriptional landscape in part by suppressing upstream antisense transcription.
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Affiliation(s)
- Jing Luan
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marit W Vermunt
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Camille M Syrett
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Clarion Healthcare, LLC, Boston, MA, USA
| | - Allison Coté
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacob M Tome
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
- Shape Therapeutics Inc, Seattle, WA, USA
| | - Haoyue Zhang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, China
| | - Anran Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jennifer M Luppino
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Belinda M Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Shiping Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Margaret C Dunagin
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhe Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Eric F Joyce
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - John T Lis
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Arjun Raj
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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33
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Yanchus C, Drucker KL, Kollmeyer TM, Tsai R, Winick-Ng W, Liang M, Malik A, Pawling J, De Lorenzo SB, Ali A, Decker PA, Kosel ML, Panda A, Al-Zahrani KN, Jiang L, Browning JWL, Lowden C, Geuenich M, Hernandez JJ, Gosio JT, Ahmed M, Loganathan SK, Berman J, Trcka D, Michealraj KA, Fortin J, Carson B, Hollingsworth EW, Jacinto S, Mazrooei P, Zhou L, Elia A, Lupien M, He HH, Murphy DJ, Wang L, Abyzov A, Dennis JW, Maass PG, Campbell K, Wilson MD, Lachance DH, Wrensch M, Wiencke J, Mak T, Pennacchio LA, Dickel DE, Visel A, Wrana J, Taylor MD, Zadeh G, Dirks P, Eckel-Passow JE, Attisano L, Pombo A, Ida CM, Kvon EZ, Jenkins RB, Schramek D. A noncoding single-nucleotide polymorphism at 8q24 drives IDH1-mutant glioma formation. Science 2022; 378:68-78. [PMID: 36201590 PMCID: PMC9926876 DOI: 10.1126/science.abj2890] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Establishing causal links between inherited polymorphisms and cancer risk is challenging. Here, we focus on the single-nucleotide polymorphism rs55705857, which confers a sixfold greater risk of isocitrate dehydrogenase (IDH)-mutant low-grade glioma (LGG). We reveal that rs55705857 itself is the causal variant and is associated with molecular pathways that drive LGG. Mechanistically, we show that rs55705857 resides within a brain-specific enhancer, where the risk allele disrupts OCT2/4 binding, allowing increased interaction with the Myc promoter and increased Myc expression. Mutating the orthologous mouse rs55705857 locus accelerated tumor development in an Idh1R132H-driven LGG mouse model from 472 to 172 days and increased penetrance from 30% to 75%. Our work reveals mechanisms of the heritable predisposition to lethal glioma in ~40% of LGG patients.
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Affiliation(s)
- Connor Yanchus
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Kristen L. Drucker
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Thomas M. Kollmeyer
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ricky Tsai
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Warren Winick-Ng
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 13092 Berlin, Germany
| | - Minggao Liang
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Ahmad Malik
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Judy Pawling
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Silvana B. De Lorenzo
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Asma Ali
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Paul A. Decker
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Matt L. Kosel
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Arijit Panda
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Khalid N. Al-Zahrani
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Lingyan Jiang
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Jared W. L. Browning
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Chris Lowden
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Michael Geuenich
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - J. Javier Hernandez
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Jessica T. Gosio
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | | | - Sampath Kumar Loganathan
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Jacob Berman
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Daniel Trcka
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | | | - Jerome Fortin
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Brittany Carson
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Ethan W. Hollingsworth
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92617, USA
| | - Sandra Jacinto
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92617, USA
| | - Parisa Mazrooei
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Lily Zhou
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Andrew Elia
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Mathieu Lupien
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
- Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada
| | - Housheng Hansen He
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Daniel J. Murphy
- Institute of Cancer Sciences, University of Glasgow, Glasgow G61 1BD, Scotland, UK
- Cancer Research UK Beatson Institute, Glasgow G61 1BD, Scotland, UK
| | - Liguo Wang
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Alexej Abyzov
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - James W. Dennis
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Philipp G. Maass
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Kieran Campbell
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Michael D. Wilson
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Daniel H. Lachance
- Departments of Neurology and Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA
| | - John Wiencke
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA
| | - Tak Mak
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Len A. Pennacchio
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94710, USA
- Comparative Biochemistry Program, University of California, Berkeley, CA 94720, USA
- US Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
| | - Diane E. Dickel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94710, USA
| | - Axel Visel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94710, USA
- US Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
- School of Natural Sciences, University of California, Merced, CA 95343, USA
| | - Jeffrey Wrana
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Michael D. Taylor
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Gelareh Zadeh
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | - Peter Dirks
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
- Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
| | | | - Liliana Attisano
- Department of Biochemistry, University of Toronto, Toronto, ON M5S 1A8, Canada
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Ana Pombo
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 13092 Berlin, Germany
- Institute of Biology, Humboldt University of Berlin, 10115 Berlin, Germany
| | - Cristiane M. Ida
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Evgeny Z. Kvon
- Department of Developmental and Cell Biology, University of California, Irvine, CA 92617, USA
| | - Robert B. Jenkins
- Division of Experimental Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Daniel Schramek
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
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34
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Zekri Y, Guyot R, Flamant F. An Atlas of Thyroid Hormone Receptors’ Target Genes in Mouse Tissues. Int J Mol Sci 2022; 23:ijms231911444. [PMID: 36232747 PMCID: PMC9570117 DOI: 10.3390/ijms231911444] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
We gathered available RNA-seq and ChIP-seq data in a single database to better characterize the target genes of thyroid hormone receptors in several cell types. This database can serve as a resource to analyze the mode of action of thyroid hormone (T3). Additionally, it is an easy-to-use and convenient tool to obtain information on specific genes regarding T3 regulation or to extract large gene lists of interest according to the users’ criteria. Overall, this atlas is a unique compilation of recent sequencing data focusing on T3, its receptors, modes of action, targets and roles, which may benefit researchers within the field. A preliminary analysis indicates extensive variations in the repertoire of target genes where transcription is upregulated by chromatin-bound nuclear receptors. Although it has a major influence, chromatin accessibility is not the only parameter that determines the cellular selectivity of the hormonal response.
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Kumar V, Pouw RB, Autio MI, Sagmeister MG, Phua ZY, Borghini L, Wright VJ, Hoggart C, Pan B, Tan AKY, Binder A, Brouwer MC, Pinnock E, De Groot R, Hazelzet J, Emonts M, Van Der Flier M, Reiter K, Nöthen MM, Hoffmann P, Schlapbach LJ, Bellos E, Anderson S, Secka F, Martinón-Torres F, Salas A, Fink C, Carrol ED, Pollard AJ, Coin LJ, Zenz W, Wouters D, Ang LT, Hibberd ML, Levin M, Kuijpers TW, Davila S. Variation in CFHR3 determines susceptibility to meningococcal disease by controlling factor H concentrations. Am J Hum Genet 2022; 109:1680-1691. [PMID: 36007525 PMCID: PMC9502058 DOI: 10.1016/j.ajhg.2022.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 07/31/2022] [Indexed: 11/16/2022] Open
Abstract
Neisseria meningitidis protects itself from complement-mediated killing by binding complement factor H (FH). Previous studies associated susceptibility to meningococcal disease (MD) with variation in CFH, but the causal variants and underlying mechanism remained unknown. Here we attempted to define the association more accurately by sequencing the CFH-CFHR locus and imputing missing genotypes in previously obtained GWAS datasets of MD-affected individuals of European ancestry and matched controls. We identified a CFHR3 SNP that provides protection from MD (rs75703017, p value = 1.1 × 10-16) by decreasing the concentration of FH in the blood (p value = 1.4 × 10-11). We subsequently used dual-luciferase studies and CRISPR gene editing to establish that deletion of rs75703017 increased FH expression in hepatocyte by preventing promotor inhibition. Our data suggest that reduced concentrations of FH in the blood confer protection from MD; with reduced access to FH, N. meningitidis is less able to shield itself from complement-mediated killing.
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Affiliation(s)
- Vikrant Kumar
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore; Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Richard B Pouw
- Division of Pediatric Immunology, Rheumatology, and Infectious Diseases, Emma Children's Hospital, Amsterdam University Medical Centre, Amsterdam, the Netherlands; Department of Immunopathology, Sanquin Research, Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam University Medical Centre, Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
| | - Matias I Autio
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore; Cardiovascular Research Institute, Centre for Translational Medicine, National University Health System, Singapore
| | | | - Zai Yang Phua
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Lisa Borghini
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore; Unidade de Xenética, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Santiago de Compostela, Spain; GenPoB Research Group, Instituto de Investigación Sanitaria de Santiago, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain
| | - Victoria J Wright
- Section of Paediatric Infectious Disease, Division of Infectious Disease, Department of Medicine, Imperial College London, London, UK
| | - Clive Hoggart
- Section of Paediatric Infectious Disease, Division of Infectious Disease, Department of Medicine, Imperial College London, London, UK
| | - Bangfen Pan
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore; Cardiovascular Research Institute, Centre for Translational Medicine, National University Health System, Singapore
| | - Antson Kiat Yee Tan
- Cancer Stem Cell Biology, Genome Institute of Singapore, Singapore, Singapore
| | - Alexander Binder
- Department of General Paediatrics, Medical University of Graz, Graz, Austria
| | - Mieke C Brouwer
- Department of Immunopathology, Sanquin Research, Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam University Medical Centre, Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
| | | | - Ronald De Groot
- Section of Pediatric Infectious Diseases, Laboratory of Medical Immunology, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan Hazelzet
- Department of Pediatrics, Erasmus Medical Center-Sophia Children's Hospital, University Medical Center, Rotterdam, the Netherlands
| | - Marieke Emonts
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK; National Institute for Health and Care Research Newcastle Biomedical Research Centre Based at Newcastle Upon Tyne Hospitals National Health Service Trust and Newcastle University, Newcastle Upon Tyne, UK; Paediatric Infectious Diseases and Immunology Department, Newcastle Upon Tyne Hospitals Foundation Trust, Great North Children's Hospital, Newcastle Upon Tyne, UK
| | - Michiel Van Der Flier
- Section of Pediatric Infectious Diseases, Laboratory of Medical Immunology, Department of Laboratory Medicine, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Paediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Karl Reiter
- Department of Paediatrics, Division of Paediatric Intensive Care Medicine, Ludwig Maximilian University of Munich and Dr. von Hauner's Children's Hospital, Munich, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | | | - Luregn J Schlapbach
- Child Health Research Centre, The University of Queensland, Brisbane, Australia; Paediatric Intensive Care Unit, Queensland Children's Hospital, Brisbane, Australia; Department of Intensive Care and Neonatology and Children`s Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Evangelos Bellos
- Section of Paediatric Infectious Disease, Division of Infectious Disease, Department of Medicine, Imperial College London, London, UK
| | | | - Fatou Secka
- Medical Research Council Unit Gambia, Banjul, The Gambia
| | - Federico Martinón-Torres
- Translational Pediatrics and Infectious Diseases, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain; Genetics, Vaccines, Infectious Diseases, and Pediatrics Research Group, Instituto de Investigación Sanitaria de Santiago, Universidad de Santiago de Compostela, Santiago de Compostela, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio Salas
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain; Unidade de Xenética, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Santiago de Compostela, Spain; GenPoB Research Group, Instituto de Investigación Sanitaria de Santiago, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain
| | - Colin Fink
- Micropathology, University of Warwick, Coventry, UK
| | - Enitan D Carrol
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Andrew J Pollard
- Oxford Vaccine Group, Department of Pediatrics, University of Oxford and the NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Lachlan J Coin
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Werner Zenz
- Department of General Paediatrics, Medical University of Graz, Graz, Austria
| | - Diana Wouters
- Department of Immunopathology, Sanquin Research, Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam University Medical Centre, Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
| | - Lay Teng Ang
- Cancer Stem Cell Biology, Genome Institute of Singapore, Singapore, Singapore
| | - Martin L Hibberd
- Infectious Diseases, Genome Institute of Singapore, Singapore, Singapore; Infectious and Tropical Disease, London School of Hygiene & Tropical Medicine, London, UK
| | - Michael Levin
- Section of Paediatric Infectious Disease, Division of Infectious Disease, Department of Medicine, Imperial College London, London, UK
| | - Taco W Kuijpers
- Division of Pediatric Immunology, Rheumatology, and Infectious Diseases, Emma Children's Hospital, Amsterdam University Medical Centre, Amsterdam, the Netherlands.
| | - Sonia Davila
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore; Duke-National University of Singapore Medical School, Singapore, Singapore; SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.
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36
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Zhong W, Liu W, Chen J, Sun Q, Hu M, Li Y. Understanding the function of regulatory DNA interactions in the interpretation of non-coding GWAS variants. Front Cell Dev Biol 2022; 10:957292. [PMID: 36060805 PMCID: PMC9437546 DOI: 10.3389/fcell.2022.957292] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/21/2022] [Indexed: 01/11/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified a vast number of variants associated with various complex human diseases and traits. However, most of these GWAS variants reside in non-coding regions producing no proteins, making the interpretation of these variants a daunting challenge. Prior evidence indicates that a subset of non-coding variants detected within or near cis-regulatory elements (e.g., promoters, enhancers, silencers, and insulators) might play a key role in disease etiology by regulating gene expression. Advanced sequencing- and imaging-based technologies, together with powerful computational methods, enabling comprehensive characterization of regulatory DNA interactions, have substantially improved our understanding of the three-dimensional (3D) genome architecture. Recent literature witnesses plenty of examples where using chromosome conformation capture (3C)-based technologies successfully links non-coding variants to their target genes and prioritizes relevant tissues or cell types. These examples illustrate the critical capability of 3D genome organization in annotating non-coding GWAS variants. This review discusses how 3D genome organization information contributes to elucidating the potential roles of non-coding GWAS variants in disease etiology.
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Affiliation(s)
- Wujuan Zhong
- Biostatistics and Research Decision Sciences, Merck & Co, Inc, Rahway, NJ, United States
| | - Weifang Liu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jiawen Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Ming Hu
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, United States
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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37
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Long K, Li X, Su D, Zeng S, Li H, Zhang Y, Zhang B, Yang W, Li P, Li X, Wang X, Tang Q, Lu L, Jin L, Ma J, Li M. Exploring high-resolution chromatin interaction changes and functional enhancers of myogenic marker genes during myogenic differentiation. J Biol Chem 2022; 298:102149. [PMID: 35787372 PMCID: PMC9352921 DOI: 10.1016/j.jbc.2022.102149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 11/25/2022] Open
Abstract
Skeletal muscle differentiation (myogenesis) is a complex and highly coordinated biological process regulated by a series of myogenic marker genes. Chromatin interactions between gene's promoters and their enhancers have an important role in transcriptional control. However, the high-resolution chromatin interactions of myogenic genes and their functional enhancers during myogenesis remain largely unclear. Here, we used circularized chromosome conformation capture coupled with next generation sequencing (4C-seq) to investigate eight myogenic marker genes in C2C12 myoblasts (C2C12-MBs) and C2C12 myotubes (C2C12-MTs). We revealed dynamic chromatin interactions of these marker genes during differentiation and identified 163 and 314 significant interaction sites (SISs) in C2C12-MBs and C2C12-MTs, respectively. The interacting genes of SISs in C2C12-MTs were mainly involved in muscle development, and histone modifications of the SISs changed during differentiation. Through functional genomic screening, we also identified 25 and 41 putative active enhancers in C2C12-MBs and C2C12-MTs, respectively. Using luciferase reporter assays for putative enhancers of Myog and Myh3, we identified eight activating enhancers. Furthermore, dCas9-KRAB epigenome editing and RNA-Seq revealed a role for Myog enhancers in the regulation of Myog expression and myogenic differentiation in the native genomic context. Taken together, this study lays the groundwork for understanding 3D chromatin interaction changes of myogenic genes during myogenesis and provides insights that contribute to our understanding of the role of enhancers in regulating myogenesis.
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Affiliation(s)
- Keren Long
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xiaokai Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Duo Su
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Sha Zeng
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Hengkuan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yu Zhang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Biwei Zhang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Wenying Yang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Penghao Li
- Jinxin Research Institute for Reproductive Medicine and Genetics, Chengdu Xi'nan Gynecology Hospital Co, Ltd, Chengdu, Sichuan, China
| | - Xuemin Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xun Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Lu Lu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Jideng Ma
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
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Tiana M, Lopez-Jimenez E, de Aja JS, Barral A, Victorino J, Badia-Careaga C, Rollan I, Rouco R, Santos E, Sanchez-Iranzo H, Acemel RD, Torroja C, Adan J, Andres-Leon E, Gomez-Skarmeta JL, Giovinazzo G, Sanchez-Cabo F, Manzanares M. Pluripotency factors regulate the onset of Hox cluster activation in the early embryo. SCIENCE ADVANCES 2022; 8:eabo3583. [PMID: 35857513 PMCID: PMC9286507 DOI: 10.1126/sciadv.abo3583] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Pluripotent cells are a transient population of the mammalian embryo dependent on transcription factors, such as OCT4 and NANOG, which maintain pluripotency while suppressing lineage specification. However, these factors are also expressed during early phases of differentiation, and their role in the transition from pluripotency to lineage specification is largely unknown. We found that pluripotency factors play a dual role in regulating key lineage specifiers, initially repressing their expression and later being required for their proper activation. We show that Oct4 is necessary for activation of HoxB genes during differentiation of embryonic stem cells and in the embryo. In addition, we show that the HoxB cluster is coordinately regulated by OCT4 binding sites located at the 3' end of the cluster. Our results show that core pluripotency factors are not limited to maintaining the precommitted epiblast but are also necessary for the proper deployment of subsequent developmental programs.
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Affiliation(s)
- María Tiana
- Centro de Biología Molecular Severo Ochoa (CBMSO), CSIC-UAM, 28029 Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Elena Lopez-Jimenez
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Julio Sainz de Aja
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Antonio Barral
- Centro de Biología Molecular Severo Ochoa (CBMSO), CSIC-UAM, 28029 Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Jesus Victorino
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Claudio Badia-Careaga
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Isabel Rollan
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Raquel Rouco
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Elisa Santos
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Hector Sanchez-Iranzo
- Institute of Biological and Chemical Systems, Biological Information Processing (IBCS-BIP), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany
| | - Rafael D. Acemel
- Centro Andaluz de Biología del Desarrollo (CABD), CSIC-UPO, 41013 Seville, Spain
| | - Carlos Torroja
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Javier Adan
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Eduardo Andres-Leon
- Instituto de Parasitología y Biomedicina López Neyra (IPBL), CSIC, 18100 Granada, Spain
| | | | - Giovanna Giovinazzo
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Fatima Sanchez-Cabo
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Miguel Manzanares
- Centro de Biología Molecular Severo Ochoa (CBMSO), CSIC-UAM, 28029 Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
- Corresponding author.
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Portuguez AS, Grbesa I, Tal M, Deitch R, Raz D, Kliker L, Weismann R, Schwartz M, Loza O, Cohen L, Marchenkov-Flam L, Sung MH, Kaplan T, Hakim O. Ep300 sequestration to functionally distinct glucocorticoid receptor binding loci underlie rapid gene activation and repression. Nucleic Acids Res 2022; 50:6702-6714. [PMID: 35713523 PMCID: PMC9262608 DOI: 10.1093/nar/gkac488] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 05/18/2022] [Accepted: 05/26/2022] [Indexed: 12/24/2022] Open
Abstract
The rapid transcriptional response to the transcription factor, glucocorticoid receptor (GR), including gene activation or repression, is mediated by the spatial association of genes with multiple GR binding sites (GBSs) over large genomic distances. However, only a minority of the GBSs have independent GR-mediated activating capacity, and GBSs with independent repressive activity were rarely reported. To understand the positive and negative effects of GR we mapped the regulatory environment of its gene targets. We show that the chromatin interaction networks of GR-activated and repressed genes are spatially separated and vary in the features and configuration of their GBS and other non-GBS regulatory elements. The convergence of the KLF4 pathway in GR-activated domains and the STAT6 pathway in GR-repressed domains, impose opposite transcriptional effects to GR, independent of hormone application. Moreover, the ROR and Rev-erb transcription factors serve as positive and negative regulators, respectively, of GR-mediated gene activation. We found that the spatial crosstalk between GBSs and non-GBSs provides a physical platform for sequestering the Ep300 co-activator from non-GR regulatory loci in both GR-activated and -repressed gene compartments. While this allows rapid gene repression, Ep300 recruitment to GBSs is productive specifically in the activated compartments, thus providing the basis for gene induction.
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Affiliation(s)
| | | | - Moran Tal
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Rachel Deitch
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Dana Raz
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Limor Kliker
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Ran Weismann
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Michal Schwartz
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Olga Loza
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Leslie Cohen
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Libi Marchenkov-Flam
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Building 206, Ramat-Gan 5290002, Israel
| | - Myong-Hee Sung
- Laboratory of Molecular Biology and Immunology, NIA, National Institutes of Health, Baltimore, MD 21224, USA
| | - Tommy Kaplan
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel,Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91121, Israel
| | - Ofir Hakim
- To whom correspondence should be addressed. Tel: +972 3 738 4295; Fax: +972 3 738 4296;
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Huang Z, Wang C, Treuter E, Fan R. An optimized 4C-seq protocol based on cistrome and epigenome data in the mouse RAW264.7 macrophage cell line. STAR Protoc 2022; 3:101338. [PMID: 35496794 PMCID: PMC9043770 DOI: 10.1016/j.xpro.2022.101338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Chromosome conformation capture combined with high-throughput sequencing (4C-seq) is a powerful tool to map genomic DNA regions that communicate with a specific locus of interest such as functional single-nucleotide polymorphism (SNPs)-containing regions. This protocol describes detailed steps to perform 4C-seq in mouse macrophage RAW264.7 cells, starting from the primer design based on cistrome and epigenome data, sample processing, and to the bioinformatics analysis. For complete details on the use and execution of this protocol, please refer to Huang et al. (2021). 4C-seq in mouse RAW264.7 macrophage cells Applicable to any region with a proven or suspected regulatory role in transcription Integrated cistrome and epigenome data to refine the primer design of 4C-seq protocol
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41
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Paranjapye A, NandyMazumdar M, Harris A. Krüppel-Like Factor 5 Regulates CFTR Expression Through Repression by Maintaining Chromatin Architecture Coupled with Direct Enhancer Activation. J Mol Biol 2022; 434:167561. [PMID: 35341742 PMCID: PMC9086126 DOI: 10.1016/j.jmb.2022.167561] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/18/2022] [Accepted: 03/21/2022] [Indexed: 02/06/2023]
Abstract
Single cell RNA-sequencing has accurately identified cell types within the human airway that express the Cystic Fibrosis Transmembrane Conductance regulator (CFTR) gene. Low abundance CFTR transcripts are seen in many secretory cells, while high levels are restricted to rare pulmonary ionocytes. Here we focus on the mechanisms coordinating basal CFTR expression in the secretory compartment. Cell-selective regulation of CFTR is achieved within its invariant topologically associating domain by the recruitment of cis-regulatory elements (CREs). CRE activity is coordinated by cell-type-selective transcription factors. One such factor, Krüppel-Like Factor 5 (KLF5), profoundly represses CFTR transcript and protein in primary human airway epithelial cells and airway cell lines. Here we reveal the mechanism of action of KLF5 upon the CFTR gene. We find that depletion or ablation of KLF5 from airway epithelial cells changes higher order chromatin structure at the CFTR locus. Critical looping interactions that are required for normal gene expression are altered, the H3K27ac active chromatin mark is redistributed, and CTCF occupancy is modified. However, mutation of a single KLF5 binding site within a pivotal airway cell CRE abolishes CFTR expression. Hence, KLF5 has both direct activating and indirect repressive effects, which together coordinate CFTR expression in the airway.
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Affiliation(s)
- Alekh Paranjapye
- Department of Genetics and Genome Sciences, and Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Monali NandyMazumdar
- Department of Genetics and Genome Sciences, and Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Ann Harris
- Department of Genetics and Genome Sciences, and Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
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42
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Karami Fath M, Karimfar N, Fazlollahpour Naghibi A, Shafa S, Ghasemi Shiran M, Ataei M, Dehghanzadeh H, Nabi Afjadi M, Ghadiri T, Payandeh Z, Tarhriz V. Revisiting characteristics of oncogenic extrachromosomal DNA as mobile enhancers on neuroblastoma and glioma cancers. Cancer Cell Int 2022; 22:200. [PMID: 35614494 PMCID: PMC9131661 DOI: 10.1186/s12935-022-02617-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/18/2022] [Indexed: 12/21/2022] Open
Abstract
Cancer can be induced by a variety of possible causes, including tumor suppressor gene failure and proto-oncogene hyperactivation. Tumor-associated extrachromosomal circular DNA has been proposed to endanger human health and speed up the progression of cancer. The amplification of ecDNA has raised the oncogene copy number in numerous malignancies according to whole-genome sequencing on distinct cancer types. The unusual structure and function of ecDNA, and its potential role in understanding current cancer genome maps, make it a hotspot to study tumor pathogenesis and evolution. The discovery of the basic mechanisms of ecDNA in the emergence and growth of malignancies could lead researchers to develop new cancer therapies. Despite recent progress, different aspects of ecDNA require more investigation. We focused on the features, and analyzed the bio-genesis, and origin of ecDNA in this review, as well as its functions in neuroblastoma and glioma cancers.
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Affiliation(s)
- Mohsen Karami Fath
- Department of Cellular and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
| | - Nastaran Karimfar
- Faculty of Veterinary Medicine, Islamic Azad University, Tabriz Branch, Tabriz, Iran
| | | | - Shahriyar Shafa
- School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Melika Ghasemi Shiran
- Department of Biology, Faculty of Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Mehran Ataei
- Department of Biology, Faculty of Sciences, Shahid Chamran University, Ahvaz, Iran
| | | | - Mohsen Nabi Afjadi
- Department of Biochemistry, Faculty of Biological Science, Tarbiat Modares University, Tehran, Iran.
| | - Tahereh Ghadiri
- Department of Neuroscience and Cognition, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran. .,Shefa Neuroscience Research Center, Khatam Alanbia Hospital, Tehran, Iran. .,Neurosiences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Zahra Payandeh
- Department Medical Biochemistry and Biophysics, Division Medical Inflammation Research, Karolinska Institute, Stockholm, Sweden.
| | - Vahideh Tarhriz
- Molecular Medicine Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
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43
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Avdeyev P, Zhou J. Computational Approaches for Understanding Sequence Variation Effects on the 3D Genome Architecture. Annu Rev Biomed Data Sci 2022; 5:183-204. [PMID: 35537461 DOI: 10.1146/annurev-biodatasci-102521-012018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Decoding how genomic sequence and its variations affect 3D genome architecture is indispensable for understanding the genetic architecture of various traits and diseases. The 3D genome organization can be significantly altered by genome variations and in turn impact the function of the genomic sequence. Techniques for measuring the 3D genome architecture across spatial scales have opened up new possibilities for understanding how the 3D genome depends upon the genomic sequence and how it can be altered by sequence variations. Computational methods have become instrumental in analyzing and modeling the sequence effects on 3D genome architecture, and recent development in deep learning sequence models have opened up new opportunities for studying the interplay between sequence variations and the 3D genome. In this review, we focus on computational approaches for both the detection and modeling of sequence variation effects on the 3D genome, and we discuss the opportunities presented by these approaches. Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 5 is August 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Pavel Avdeyev
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas, USA;
| | - Jian Zhou
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas, USA;
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44
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Yin S, Mazumdar MN, Paranjapye A, Harris A. Cross-talk between enhancers, structural elements and activating transcription factors maintains the 3D architecture and expression of the CFTR gene. Genomics 2022; 114:110350. [PMID: 35346781 PMCID: PMC9509493 DOI: 10.1016/j.ygeno.2022.110350] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 03/13/2022] [Accepted: 03/23/2022] [Indexed: 01/14/2023]
Abstract
Robust protocols to examine 3D chromatin structure have greatly advanced knowledge of gene regulatory mechanisms. Here we focus on the cystic fibrosis transmembrane conductance regulator (CFTR) gene, which provides a paradigm for validating models of gene regulation built upon genome-wide analysis. We examine the mechanisms by which multiple cis-regulatory elements (CREs) at the CFTR gene coordinate its expression in intestinal epithelial cells. Using CRISPR/Cas9 to remove CREs, individually and in tandem, followed by assays of gene expression and higher-order chromatin structure (4C-seq), we reveal the cross-talk and dependency of two cell-specific intronic enhancers. The results suggest a mechanism whereby the locus responds when CREs are lost, which may involve activating transcription factors such as FOXA2. Also, by removing the 5' topologically-associating domain (TAD) boundary, we illustrate its impact on CFTR gene expression and architecture. These data suggest a multi-layered regulatory hierarchy that is highly sensitive to perturbations.
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45
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Herrmann JC, Beagrie RA, Hughes JR. Making connections: enhancers in cellular differentiation. Trends Genet 2022; 38:395-408. [PMID: 34753603 DOI: 10.1016/j.tig.2021.10.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 10/17/2021] [Accepted: 10/19/2021] [Indexed: 01/23/2023]
Abstract
Deciphering the process by which hundreds of distinct cell types emerge from a single zygote to form a complex multicellular organism remains one of the greatest challenges in biological research. Enhancers are known to be central to cell type-specific gene expression, yet many questions regarding how these genomic elements interact both temporally and spatially with other cis- and trans-acting factors to control transcriptional activity during differentiation and development remain unanswered. Here, we review our current understanding of the role of enhancers and their interactions in this context and highlight recent progress achieved with experimental methods of unprecedented resolution.
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Affiliation(s)
- Jennifer C Herrmann
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Robert A Beagrie
- MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Jim R Hughes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
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46
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Wei X, Xiang Y, Peters DT, Marius C, Sun T, Shan R, Ou J, Lin X, Yue F, Li W, Southerland KW, Diao Y. HiCAR is a robust and sensitive method to analyze open-chromatin-associated genome organization. Mol Cell 2022; 82:1225-1238.e6. [PMID: 35196517 PMCID: PMC8934281 DOI: 10.1016/j.molcel.2022.01.023] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 11/08/2021] [Accepted: 01/25/2022] [Indexed: 02/06/2023]
Abstract
The long-range interactions of cis-regulatory elements (cREs) play a central role in gene regulation. cREs can be characterized as accessible chromatin sequences. However, it remains technically challenging to comprehensively identify their spatial interactions. Here, we report a new method HiCAR (Hi-C on accessible regulatory DNA), which utilizes Tn5 transposase and chromatin proximity ligation, for the analysis of open-chromatin-anchored interactions with low-input cells. By applying HiCAR in human embryonic stem cells and lymphoblastoid cells, we demonstrate that HiCAR identifies high-resolution chromatin contacts with an efficiency comparable with that of in situ Hi-C over all distance ranges. Interestingly, we found that the "poised" gene promoters exhibit silencer-like function to repress the expression of distal genes via promoter-promoter interactions. Lastly, we applied HiCAR to 30,000 primary human muscle stem cells and demonstrated that HiCAR is capable of analyzing chromatin accessibility and looping using low-input primary cells and clinical samples.
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Affiliation(s)
- Xiaolin Wei
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Duke Regeneration Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Yu Xiang
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Duke Regeneration Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Derek T Peters
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Duke Regeneration Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Choiselle Marius
- The Cell and Molecular Biology Program, Duke University, Durham, NC 27710, USA
| | - Tongyu Sun
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Duke Regeneration Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Ruocheng Shan
- Center for Genetic Medicine Research, Center for Cancer and Immunology Research at Children's National Medical Center, Washington, DC 20010, USA
| | - Jianhong Ou
- Duke Regeneration Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Xin Lin
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Duke Regeneration Center, Duke University Medical Center, Durham, NC 27710, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Wei Li
- Center for Genetic Medicine Research, Center for Cancer and Immunology Research at Children's National Medical Center, Washington, DC 20010, USA
| | - Kevin W Southerland
- Department of Surgery, Division of Vascular and Endovascular Surgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Yarui Diao
- Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Duke Regeneration Center, Duke University Medical Center, Durham, NC 27710, USA; Department of Orthopedic Surgery, Duke University Medical Center, Durham, NC 27710, USA.
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47
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Özturan D, Morova T, Lack NA. Androgen Receptor-Mediated Transcription in Prostate Cancer. Cells 2022; 11:898. [PMID: 35269520 PMCID: PMC8909478 DOI: 10.3390/cells11050898] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/25/2022] [Accepted: 03/01/2022] [Indexed: 11/16/2022] Open
Abstract
Androgen receptor (AR)-mediated transcription is critical in almost all stages of prostate cancer (PCa) growth and differentiation. This process involves a complex interplay of coregulatory proteins, chromatin remodeling complexes, and other transcription factors that work with AR at cis-regulatory enhancer regions to induce the spatiotemporal transcription of target genes. This enhancer-driven mechanism is remarkably dynamic and undergoes significant alterations during PCa progression. In this review, we discuss the AR mechanism of action in PCa with a focus on how cis-regulatory elements modulate gene expression. We explore emerging evidence of genetic variants that can impact AR regulatory regions and alter gene transcription in PCa. Finally, we highlight several outstanding questions and discuss potential mechanisms of this critical transcription factor.
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Affiliation(s)
- Doğancan Özturan
- School of Medicine, Koç University, Istanbul 34450, Turkey;
- Koç University Research Centre for Translational Medicine (KUTTAM), Koç University, Istanbul 34450, Turkey
| | - Tunç Morova
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC V6H 3Z6, Canada;
| | - Nathan A. Lack
- School of Medicine, Koç University, Istanbul 34450, Turkey;
- Koç University Research Centre for Translational Medicine (KUTTAM), Koç University, Istanbul 34450, Turkey
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC V6H 3Z6, Canada;
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Benbarche S, Lopez CK, Salataj E, Aid Z, Thirant C, Laiguillon MC, Lecourt S, Belloucif Y, Vaganay C, Antonini M, Hu J, da Silva Babinet A, Ndiaye-Lobry D, Pardieu B, Petit A, Puissant A, Chaumeil J, Mercher T, Lobry C. Screening of ETO2-GLIS2-induced Super Enhancers identifies targetable cooperative dependencies in acute megakaryoblastic leukemia. SCIENCE ADVANCES 2022; 8:eabg9455. [PMID: 35138899 PMCID: PMC8827662 DOI: 10.1126/sciadv.abg9455] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Super Enhancers (SEs) are clusters of regulatory elements associated with cell identity and disease. However, whether these elements are induced by oncogenes and can regulate gene modules cooperating for cancer cell transformation or maintenance remains elusive. To address this question, we conducted a genome-wide CRISPRi-based screening of SEs in ETO2-GLIS2+ acute megakaryoblastic leukemia. This approach revealed SEs essential for leukemic cell growth and survival that are induced by ETO2-GLIS2 expression. In particular, we identified a de novo SE specific of this leukemia subtype and regulating expression of tyrosine kinase-associated receptors KIT and PDGFRA. Combined expression of these two receptors was required for leukemic cell growth, and CRISPRi-mediated inhibition of this SE or treatment with tyrosine kinase inhibitors impaired progression of leukemia in vivo in patient-derived xenografts experiments. Our results show that fusion oncogenes, such as ETO2-GLIS2, can induce activation of SEs regulating essential gene modules synergizing for leukemia progression.
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Affiliation(s)
- Salima Benbarche
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
| | - Cécile K. Lopez
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
- Equipe labellisée Ligue Nationale Contre le Cancer, Paris F-75013, France
| | - Eralda Salataj
- Université de Paris, Institut Cochin, INSERM, CNRS, Paris F-75014, France
| | - Zakia Aid
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
- Equipe labellisée Ligue Nationale Contre le Cancer, Paris F-75013, France
| | - Cécile Thirant
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
- Equipe labellisée Ligue Nationale Contre le Cancer, Paris F-75013, France
| | | | - Séverine Lecourt
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
| | - Yannis Belloucif
- INSERM U944, CNRS UMR7212, Institut de Recherche Saint Louis and Université de Paris, Paris F-75010, France
| | - Camille Vaganay
- INSERM U944, CNRS UMR7212, Institut de Recherche Saint Louis and Université de Paris, Paris F-75010, France
| | - Marion Antonini
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
| | - Jiang Hu
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
- INSERM U944, CNRS UMR7212, Institut de Recherche Saint Louis and Université de Paris, Paris F-75010, France
| | | | | | - Bryann Pardieu
- INSERM U944, CNRS UMR7212, Institut de Recherche Saint Louis and Université de Paris, Paris F-75010, France
| | - Arnaud Petit
- Hôpital Trousseau, Sorbonne Université, Assistance Publique - Hôpitaux de Paris CONECT-AML, Paris F-75012, France
| | - Alexandre Puissant
- INSERM U944, CNRS UMR7212, Institut de Recherche Saint Louis and Université de Paris, Paris F-75010, France
| | - Julie Chaumeil
- Université de Paris, Institut Cochin, INSERM, CNRS, Paris F-75014, France
| | - Thomas Mercher
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
- Equipe labellisée Ligue Nationale Contre le Cancer, Paris F-75013, France
- Corresponding author. (C.L.); (T.M.)
| | - Camille Lobry
- INSERM U1170, Gustave Roussy Cancer Center and Université Paris Saclay, Villejuif F-94800, France
- INSERM U944, CNRS UMR7212, Institut de Recherche Saint Louis and Université de Paris, Paris F-75010, France
- Corresponding author. (C.L.); (T.M.)
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Downes DJ, Smith AL, Karpinska MA, Velychko T, Rue-Albrecht K, Sims D, Milne TA, Davies JOJ, Oudelaar AM, Hughes JR. Capture-C: a modular and flexible approach for high-resolution chromosome conformation capture. Nat Protoc 2022; 17:445-475. [PMID: 35121852 PMCID: PMC7613269 DOI: 10.1038/s41596-021-00651-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 10/27/2021] [Indexed: 12/16/2022]
Abstract
Chromosome conformation capture (3C) methods measure the spatial proximity between DNA elements in the cell nucleus. Many methods have been developed to sample 3C material, including the Capture-C family of protocols. Capture-C methods use oligonucleotides to enrich for interactions of interest from sequencing-ready 3C libraries. This approach is modular and has been adapted and optimized to work for sampling of disperse DNA elements (NuTi Capture-C), including from low cell inputs (LI Capture-C), as well as to generate Hi-C like maps for specific regions of interest (Tiled-C) and to interrogate multiway interactions (Tri-C). We present the design, experimental protocol and analysis pipeline for NuTi Capture-C in addition to the variations for generation of LI Capture-C, Tiled-C and Tri-C data. The entire procedure can be performed in 3 weeks and requires standard molecular biology skills and equipment, access to a next-generation sequencing platform, and basic bioinformatic skills. Implemented with other sequencing technologies, these methods can be used to identify regulatory interactions and to compare the structural organization of the genome in different cell types and genetic models.
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Affiliation(s)
- Damien J Downes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Alastair L Smith
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - Taras Velychko
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Kevin Rue-Albrecht
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - David Sims
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Thomas A Milne
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Haematology Theme, Oxford, UK
| | - James O J Davies
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - Jim R Hughes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
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50
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Tang L, Hill MC, Ellinor PT, Li M. Bacon: a comprehensive computational benchmarking framework for evaluating targeted chromatin conformation capture-specific methodologies. Genome Biol 2022; 23:30. [PMID: 35063001 PMCID: PMC8780810 DOI: 10.1186/s13059-021-02597-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 12/30/2021] [Indexed: 01/10/2023] Open
Abstract
Chromatin conformation capture (3C)-based technologies have enabled the accurate detection of topological genomic interactions, and the adoption of ChIP techniques to 3C-based protocols makes it possible to identify long-range interactions. To analyze these large and complex datasets, computational methods are undergoing rapid and expansive evolution. Thus, a thorough evaluation of these analytical pipelines is necessary to identify which commonly used algorithms and processing pipelines need to be improved. Here we present a comprehensive benchmark framework, Bacon, to evaluate the performance of several computational methods. Finally, we provide practical recommendations for users working with HiChIP and/or ChIA-PET analyses.
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Affiliation(s)
- Li Tang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, China
| | - Matthew C Hill
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02129, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, 02129, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Min Li
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, China.
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