1
|
Choppavarapu L, Fang K, Liu T, Jin VX. Hi-C profiling in tissues reveals 3D chromatin-regulated breast tumor heterogeneity and tumor-specific looping-mediated biological pathways. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.13.584872. [PMID: 38559097 PMCID: PMC10979939 DOI: 10.1101/2024.03.13.584872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Current knowledge in three-dimensional (3D) chromatin regulation in normal and disease states was mostly accumulated through Hi-C profiling in in vitro cell culture system. The limitations include failing to recapitulate disease-specific physiological properties and often lacking clinically relevant disease microenvironment. In this study, we conduct tissue-specific Hi-C profiling in a pilot cohort of 12 breast tissues comprising of two normal tissues (NTs) and ten ER+ breast tumor tissues (TTs) including five primary tumors (PTs), and five tamoxifen-treated recurrent tumors (RTs). We find largely preserved compartments, highly heterogeneous topological associated domains (TADs) and intensively variable chromatin loops among breast tumors, demonstrating 3D chromatin-regulated breast tumor heterogeneity. Further cross-examination identifies RT-specific looping-mediated biological pathways and suggests CA2, an enhancer-promoter looping (EPL)-mediated target gene within the bicarbonate transport metabolism pathway, might play a role in driving the tamoxifen resistance. Remarkably, the inhibition of CA2 not only impedes tumor growth both in vitro and in vivo , but also reverses chromatin looping. Our study thus yields significant mechanistic insights into the role and clinical relevance of 3D chromatin architecture in breast cancer endocrine resistance.
Collapse
|
2
|
Wall BPG, Nguyen M, Harrell JC, Dozmorov MG. Machine and deep learning methods for predicting 3D genome organization. ARXIV 2024:arXiv:2403.03231v1. [PMID: 38495565 PMCID: PMC10942493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Three-Dimensional (3D) chromatin interactions, such as enhancer-promoter interactions (EPIs), loops, Topologically Associating Domains (TADs), and A/B compartments play critical roles in a wide range of cellular processes by regulating gene expression. Recent development of chromatin conformation capture technologies has enabled genome-wide profiling of various 3D structures, even with single cells. However, current catalogs of 3D structures remain incomplete and unreliable due to differences in technology, tools, and low data resolution. Machine learning methods have emerged as an alternative to obtain missing 3D interactions and/or improve resolution. Such methods frequently use genome annotation data (ChIP-seq, DNAse-seq, etc.), DNA sequencing information (k-mers, Transcription Factor Binding Site (TFBS) motifs), and other genomic properties to learn the associations between genomic features and chromatin interactions. In this review, we discuss computational tools for predicting three types of 3D interactions (EPIs, chromatin interactions, TAD boundaries) and analyze their pros and cons. We also point out obstacles of computational prediction of 3D interactions and suggest future research directions.
Collapse
Affiliation(s)
- Brydon P. G. Wall
- Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - My Nguyen
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - J. Chuck Harrell
- Department of Pathology, Virginia Commonwealth University, Richmond, VA, 23284, USA
- Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA
- Center for Pharmaceutical Engineering, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Mikhail G. Dozmorov
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, 23298, USA
- Department of Pathology, Virginia Commonwealth University, Richmond, VA, 23284, USA
| |
Collapse
|
3
|
Wahl N, Espeso-Gil S, Chietera P, Nagel A, Laighneach A, Morris DW, Rajarajan P, Akbarian S, Dechant G, Apostolova G. SATB2 organizes the 3D genome architecture of cognition in cortical neurons. Mol Cell 2024; 84:621-639.e9. [PMID: 38244545 PMCID: PMC10923151 DOI: 10.1016/j.molcel.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 10/02/2023] [Accepted: 12/15/2023] [Indexed: 01/22/2024]
Abstract
The DNA-binding protein SATB2 is genetically linked to human intelligence. We studied its influence on the three-dimensional (3D) epigenome by mapping chromatin interactions and accessibility in control versus SATB2-deficient cortical neurons. We find that SATB2 affects the chromatin looping between enhancers and promoters of neuronal-activity-regulated genes, thus influencing their expression. It also alters A/B compartments, topologically associating domains, and frequently interacting regions. Genes linked to SATB2-dependent 3D genome changes are implicated in highly specialized neuronal functions and contribute to cognitive ability and risk for neuropsychiatric and neurodevelopmental disorders. Non-coding DNA regions with a SATB2-dependent structure are enriched for common variants associated with educational attainment, intelligence, and schizophrenia. Our data establish SATB2 as a cell-type-specific 3D genome modulator, which operates both independently and in cooperation with CCCTC-binding factor (CTCF) to set up the chromatin landscape of pyramidal neurons for cognitive processes.
Collapse
Affiliation(s)
- Nico Wahl
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria.
| | - Sergio Espeso-Gil
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria; Department of Psychiatry, Friedman Brain Institute, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paola Chietera
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Amelie Nagel
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Aodán Laighneach
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland
| | - Derek W Morris
- Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Biological and Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland
| | - Prashanth Rajarajan
- Department of Psychiatry, Friedman Brain Institute, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Schahram Akbarian
- Department of Psychiatry, Friedman Brain Institute, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Georg Dechant
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria.
| | - Galina Apostolova
- Institute for Neuroscience, Medical University of Innsbruck, Innsbruck 6020, Austria.
| |
Collapse
|
4
|
Gao Z, Su Y, Chang L, Jiao G, Ou Y, Yang M, Xu C, Liu P, Wang Z, Qi Z, Liu W, Sun L, He G, Deng XW, He H. Increased long-distance and homo-trans interactions related to H3K27me3 in Arabidopsis hybrids. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2024; 66:208-227. [PMID: 38326968 DOI: 10.1111/jipb.13620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 01/04/2024] [Indexed: 02/09/2024]
Abstract
In plants, the genome structure of hybrids changes compared with their parents, but the effects of these changes in hybrids remain elusive. Comparing reciprocal crosses between Col × C24 and C24 × Col in Arabidopsis using high-throughput chromosome conformation capture assay (Hi-C) analysis, we found that hybrid three-dimensional (3D) chromatin organization had more long-distance interactions relative to parents, and this was mainly located in promoter regions and enriched in genes with heterosis-related pathways. The interactions between euchromatin and heterochromatin were increased, and the compartment strength decreased in hybrids. In compartment domain (CD) boundaries, the distal interactions were more in hybrids than their parents. In the hybrids of CURLY LEAF (clf) mutants clfCol × clfC24 and clfC24 × clfCol , the heterosis phenotype was damaged, and the long-distance interactions in hybrids were fewer than in their parents with lower H3K27me3. ChIP-seq data revealed higher levels of H3K27me3 in the region adjacent to the CD boundary and the same interactional homo-trans sites in the wild-type (WT) hybrids, which may have led to more long-distance interactions. In addition, the differentially expressed genes (DEGs) located in the boundaries of CDs and loop regions changed obviously in WT, and the functional enrichment for DEGs was different between WT and clf in the long-distance interactions and loop regions. Our findings may therefore propose a new epigenetic explanation of heterosis in the Arabidopsis hybrids and provide new insights into crop breeding and yield increase.
Collapse
Affiliation(s)
- Zhaoxu Gao
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Yanning Su
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Le Chang
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Guanzhong Jiao
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Yang Ou
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Mei Yang
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Chao Xu
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Pengtao Liu
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Zejia Wang
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Zewen Qi
- College of Grassland Science, Beijing Forestry University, Beijing, 100083, China
| | - Wenwen Liu
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Linhua Sun
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Guangming He
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
| | - Xing Wang Deng
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang 261325, China
| | - Hang He
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang 261325, China
| |
Collapse
|
5
|
Hua D, Gu M, Zhang X, Du Y, Xie H, Qi L, Du X, Bai Z, Zhu X, Tian D. DiffDomain enables identification of structurally reorganized topologically associating domains. Nat Commun 2024; 15:502. [PMID: 38218905 PMCID: PMC10787792 DOI: 10.1038/s41467-024-44782-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 01/02/2024] [Indexed: 01/15/2024] Open
Abstract
Topologically associating domains (TADs) are critical structural units in three-dimensional genome organization of mammalian genome. Dynamic reorganizations of TADs between health and disease states are associated with essential genome functions. However, computational methods for identifying reorganized TADs are still in the early stages of development. Here, we present DiffDomain, an algorithm leveraging high-dimensional random matrix theory to identify structurally reorganized TADs using high-throughput chromosome conformation capture (Hi-C) contact maps. Method comparison using multiple real Hi-C datasets reveals that DiffDomain outperforms alternative methods for false positive rates, true positive rates, and identifying a new subtype of reorganized TADs. Applying DiffDomain to Hi-C data from different cell types and disease states demonstrates its biological relevance. Identified reorganized TADs are associated with structural variations and epigenomic changes such as changes in CTCF binding sites. By applying to a single-cell Hi-C data from mouse neuronal development, DiffDomain can identify reorganized TADs between cell types with reasonable reproducibility using pseudo-bulk Hi-C data from as few as 100 cells per condition. Moreover, DiffDomain reveals differential cell-to-population variability and heterogeneous cell-to-cell variability in TADs. Therefore, DiffDomain is a statistically sound method for better comparative analysis of TADs using both Hi-C and single-cell Hi-C data.
Collapse
Affiliation(s)
- Dunming Hua
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Ming Gu
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Xiao Zhang
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Yanyi Du
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Hangcheng Xie
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Li Qi
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Xiangjun Du
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China
| | - Zhidong Bai
- KLASMOE & School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, 130024, China
| | - Xiaopeng Zhu
- MyCellome LLC., Allison Park, PA, 15101, USA
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Dechao Tian
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 510275, China.
- Department of Biostatistics and Systems Biology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China.
| |
Collapse
|
6
|
Zhang G, Li Y, Wei G. Multi-omic analysis reveals dynamic changes of three-dimensional chromatin architecture during T cell differentiation. Commun Biol 2023; 6:773. [PMID: 37488215 PMCID: PMC10366224 DOI: 10.1038/s42003-023-05141-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 07/13/2023] [Indexed: 07/26/2023] Open
Abstract
Cell differentiation results in widespread changes in transcriptional programs as well as multi-level remodeling of three-dimensional genome architecture. Nonetheless, few synthetically investigate the chromatin higher-order landscapes in different T helper (Th) cells. Using RNA-Seq, ATAC-Seq and Hi-C assays, we characterize dynamic changes in chromatin organization at different levels during Naive CD4+ T cells differentiation into T helper 17 (Th17) and T helper 1 (Th1) cells. Upon differentiation, we observe decreased short-range and increased extra-long-range chromatin interactions. Although there is no apparent global switch in the A/B compartments, Th cells display the weaker compartmentalization. A portion of topologically associated domains are rearranged. Furthermore, we identify cell-type specific enhancer-promoter loops, many of which are associated with functional genes in Th cells, such as Rorc facilitating Th17 differentiation and Hif1a responding to intracellular oxygen levels in Th1. Taken together, these results uncover the general patterns of chromatin reorganization and epigenetic landscapes of gene regulation during T helper cell differentiation.
Collapse
Affiliation(s)
- Ge Zhang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Ying Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Wei
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| |
Collapse
|
7
|
Jeon AJ, Anene-Nzelu CG, Teo YY, Chong SL, Sekar K, Wu L, Chew SC, Chen J, Kendarsari RI, Lai H, Ling WH, Kaya NA, Lim JQ, Chung AYF, Cheow PC, Kam JH, Madhavan K, Kow A, Ganpathi IS, Lim TKH, Leow WQ, Loong S, Loh TJ, Wan WK, Soon GST, Pang YH, Yoong BK, Bee-Lan Ong D, Lim J, de Villa VH, dela Cruz RD, Chanwat R, Thammasiri J, Bonney GK, Goh BK, Foo RSY, Chow PKH. A genomic enhancer signature associates with hepatocellular carcinoma prognosis. JHEP Rep 2023; 5:100715. [PMID: 37168287 PMCID: PMC10165154 DOI: 10.1016/j.jhepr.2023.100715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 01/20/2023] [Accepted: 02/09/2023] [Indexed: 05/13/2023] Open
Abstract
Background & Aims Lifestyle and environmental-related exposures are important risk factors for hepatocellular carcinoma (HCC), suggesting that epigenetic dysregulation significantly underpins HCC. We profiled 30 surgically resected tumours and the matched adjacent normal tissues to understand the aberrant epigenetic events associated with HCC. Methods We identified tumour differential enhancers and the associated genes by analysing H3K27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) and Hi-C/HiChIP data from the resected tumour samples of 30 patients with early-stage HCC. This epigenome dataset was analysed with previously reported genome and transcriptome data of the overlapping group of patients from the same cohort. We performed patient-specific differential expression testing using multiregion sequencing data to identify genes that undergo both enhancer and gene expression changes. Based on the genes selected, we identified two patient groups and performed a recurrence-free survival analysis. Results We observed large-scale changes in the enhancer distribution between HCC tumours and the adjacent normal samples. Many of the gain-in-tumour enhancers showed corresponding upregulation of the associated genes and vice versa, but much of the enhancer and gene expression changes were patient-specific. A subset of the upregulated genes was activated in a subgroup of patients' tumours. Recurrence-free survival analysis revealed that the patients with a more robust upregulation of those genes showed a worse prognosis. Conclusions We report the genomic enhancer signature associated with differential prognosis in HCC. Findings that cohere with oncofoetal reprogramming in HCC were underpinned by genome-wide enhancer rewiring. Our results present the epigenetic changes in HCC that offer the rational selection of epigenetic-driven gene targets for therapeutic intervention or disease prognostication in HCC. Impact and Implications Lifestyle and environmental-related exposures are the important risk factors of hepatocellular carcinoma (HCC), suggesting that tumour-associated epigenetic dysregulations may significantly underpin HCC. We profiled tumour tissues and their matched normal from 30 patients with early-stage HCC to study the dysregulated epigenetic changes associated with HCC. By also analysing the patients' RNA-seq and clinical data, we found the signature genes - with epigenetic and transcriptomic dysregulation - associated with worse prognosis. Our findings suggest that systemic approaches are needed to consider the surrounding cellular environmental and epigenetic changes in HCC tumours.
Collapse
Affiliation(s)
- Ah-Jung Jeon
- Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore
| | - Chukwuemeka George Anene-Nzelu
- Cardiovascular Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Montreal Heart Institute, Montreal, Quebec, Canada
- Department of Medicine, University of Montreal, Quebec, Canada
| | - Yue-Yang Teo
- Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore
| | - Shay Lee Chong
- Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore
| | - Karthik Sekar
- Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore
| | - Lingyan Wu
- Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore
| | - Sin-Chi Chew
- Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore
| | - Jianbin Chen
- Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Raden Indah Kendarsari
- Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Hannah Lai
- Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Wen Huan Ling
- Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore
| | - Neslihan Arife Kaya
- Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Jia Qi Lim
- Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Alexander Yaw Fui Chung
- Department of Hepatopancreatobiliary and Transplant Surgery, National Cancer Centre Singapore and Singapore General Hospital, Singapore
- Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore
| | - Peng-Chung Cheow
- Department of Hepatopancreatobiliary and Transplant Surgery, National Cancer Centre Singapore and Singapore General Hospital, Singapore
- Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore
| | - Juinn Huar Kam
- Department of Hepatopancreatobiliary and Transplant Surgery, National Cancer Centre Singapore and Singapore General Hospital, Singapore
- Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore
| | - Krishnakumar Madhavan
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore
| | - Alfred Kow
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore
| | - Iyer Shridhar Ganpathi
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore
| | - Tony Kiat Hon Lim
- Department of Anatomical Pathology, Singapore General Hospital, Singapore
| | - Wei-Qiang Leow
- Department of Anatomical Pathology, Singapore General Hospital, Singapore
| | - Shihleone Loong
- Department of Anatomical Pathology, Singapore General Hospital, Singapore
| | - Tracy Jiezhen Loh
- Department of Anatomical Pathology, Singapore General Hospital, Singapore
| | - Wei Keat Wan
- Department of Anatomical Pathology, Singapore General Hospital, Singapore
| | | | - Yin Huei Pang
- Department of Pathology, National University Hospital, Singapore
| | - Boon Koon Yoong
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Diana Bee-Lan Ong
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jasmine Lim
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Vanessa H. de Villa
- Department of Surgery and Center for Liver Health and Transplantation, The Medical City, Pasig City, Philippines
| | - Rouchelle D. dela Cruz
- Department of Laboratory Medicine and Pathology, The Medical City, Pasig City, Philippines
| | - Rawisak Chanwat
- Hepato-Pancreato-Biliary Surgery Unit, Department of Surgery, National Cancer Institute, Bangkok, Thailand
| | | | - Glenn K. Bonney
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore
| | - Brian K.P. Goh
- Department of Hepatopancreatobiliary and Transplant Surgery, National Cancer Centre Singapore and Singapore General Hospital, Singapore
- Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore
| | - Roger Sik Yin Foo
- Cardiovascular Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research (A∗STAR), Singapore
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Pierce Kah-Hoe Chow
- Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore
- Department of Hepatopancreatobiliary and Transplant Surgery, National Cancer Centre Singapore and Singapore General Hospital, Singapore
- Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore
- Corresponding author. Address: National Cancer Centre Singapore, 30 Hospital Boulevard, Singapore 168583, Singapore. Tel.: +65-63065424.
| |
Collapse
|
8
|
Russ BE, Tsyganov K, Quon S, Yu B, Li J, Lee JKC, Olshansky M, He Z, Harrison PF, Barugahare A, See M, Nussing S, Morey AE, Udupa VA, Bennett T.J, Kallies A, Murre C, Collas P, Powell D, Goldrath AW, Turner SJ. Active maintenance of CD8 + T cell naïvety through regulation of global genome architecture. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.26.530139. [PMID: 36909629 PMCID: PMC10002700 DOI: 10.1101/2023.02.26.530139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
The differentiation of naïve CD8+ cytotoxic T lymphocytes (CTLs) into effector and memory states results in large scale changes in transcriptional and phenotypic profiles. Little is known about how large-scale changes in genome organisation reflect or underpin these transcriptional programs. We utilised Hi-C to map changes in the spatial organisation of long-range genome contacts within naïve, effector and memory virus-specific CD8+ T cells. We observed that the architecture of the naive CD8+ T cell genome was distinct from effector and memory genome configurations with extensive changes within discrete functional chromatin domains. However, deletion of the BACH2 or SATB1 transcription factors was sufficient to remodel the naïve chromatin architecture and engage transcriptional programs characteristic of differentiated cells. This suggests that the chromatin architecture within naïve CD8+ T cells is preconfigured to undergo autonomous remodelling upon activation, with key transcription factors restraining differentiation by actively enforcing the unique naïve chromatin state.
Collapse
Affiliation(s)
- Brendan E. Russ
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Kirril Tsyganov
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | - Sara Quon
- Department of Biological Sciences, University of California, San Diego, USA
| | - Bingfei Yu
- Department of Biological Sciences, University of California, San Diego, USA
| | - Jasmine Li
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
- Department of Molecular Biology, University of California, San Diego, USA
| | - Jason K. C. Lee
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Moshe Olshansky
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Zhaohren He
- Department of Molecular Biology, University of California, San Diego, USA
| | - Paul F. Harrison
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | - Adele Barugahare
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | - Michael See
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | | | - Alison E. Morey
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Vibha A. Udupa
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Taylah .J Bennett
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| | - Axel Kallies
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia
| | - Cornelis Murre
- Department of Molecular Biology, University of California, San Diego, USA
| | - Phillipe Collas
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Department of Immunology and Transfusion Medicine, Oslo University Hospital, Oslo, Norway
| | - David Powell
- Bioinformatics platform, Biomedical Discovery Institute, Monash University, Australia
| | - Ananda W. Goldrath
- Department of Biological Sciences, University of California, San Diego, USA
| | - Stephen J. Turner
- Department of Microbiology, Immunity Theme, Biomedical Discovery Institute, Monash University
| |
Collapse
|
9
|
Zelenka T, Klonizakis A, Tsoukatou D, Papamatheakis DA, Franzenburg S, Tzerpos P, Tzonevrakis IR, Papadogkonas G, Kapsetaki M, Nikolaou C, Plewczynski D, Spilianakis C. The 3D enhancer network of the developing T cell genome is shaped by SATB1. Nat Commun 2022; 13:6954. [PMID: 36376298 PMCID: PMC9663569 DOI: 10.1038/s41467-022-34345-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/24/2022] [Indexed: 11/16/2022] Open
Abstract
Mechanisms of tissue-specific gene expression regulation via 3D genome organization are poorly understood. Here we uncover the regulatory chromatin network of developing T cells and identify SATB1, a tissue-specific genome organizer, enriched at the anchors of promoter-enhancer loops. We have generated a T-cell specific Satb1 conditional knockout mouse which allows us to infer the molecular mechanisms responsible for the deregulation of its immune system. H3K27ac HiChIP and Hi-C experiments indicate that SATB1-dependent promoter-enhancer loops regulate expression of master regulator genes (such as Bcl6), the T cell receptor locus and adhesion molecule genes, collectively being critical for cell lineage specification and immune system homeostasis. SATB1-dependent regulatory chromatin loops represent a more refined layer of genome organization built upon a high-order scaffold provided by CTCF and other factors. Overall, our findings unravel the function of a tissue-specific factor that controls transcription programs, via spatial chromatin arrangements complementary to the chromatin structure imposed by ubiquitously expressed genome organizers.
Collapse
Affiliation(s)
- Tomas Zelenka
- Department of Biology, University of Crete, Heraklion, Crete, Greece
- Institute of Molecular Biology and Biotechnology-Foundation for Research and Technology Hellas, Heraklion, Crete, Greece
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | - Despina Tsoukatou
- Institute of Molecular Biology and Biotechnology-Foundation for Research and Technology Hellas, Heraklion, Crete, Greece
| | - Dionysios-Alexandros Papamatheakis
- Department of Biology, University of Crete, Heraklion, Crete, Greece
- Institute of Molecular Biology and Biotechnology-Foundation for Research and Technology Hellas, Heraklion, Crete, Greece
| | | | - Petros Tzerpos
- Department of Biology, University of Crete, Heraklion, Crete, Greece
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, HU-4032, Hungary
| | | | - George Papadogkonas
- Department of Biology, University of Crete, Heraklion, Crete, Greece
- Institute of Molecular Biology and Biotechnology-Foundation for Research and Technology Hellas, Heraklion, Crete, Greece
| | - Manouela Kapsetaki
- Institute of Molecular Biology and Biotechnology-Foundation for Research and Technology Hellas, Heraklion, Crete, Greece
| | - Christoforos Nikolaou
- Department of Biology, University of Crete, Heraklion, Crete, Greece
- Institute of Molecular Biology and Biotechnology-Foundation for Research and Technology Hellas, Heraklion, Crete, Greece
- Institute for Bioinnovation, Biomedical Sciences Research Centre "Alexander Fleming", 16672, Vari, Greece
| | - Dariusz Plewczynski
- Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
- Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Warsaw, Poland
| | - Charalampos Spilianakis
- Department of Biology, University of Crete, Heraklion, Crete, Greece.
- Institute of Molecular Biology and Biotechnology-Foundation for Research and Technology Hellas, Heraklion, Crete, Greece.
| |
Collapse
|
10
|
Higgins S, Akpokiro V, Westcott A, Oluwadare O. TADMaster: a comprehensive web-based tool for the analysis of topologically associated domains. BMC Bioinformatics 2022; 23:463. [PMID: 36333787 PMCID: PMC9636664 DOI: 10.1186/s12859-022-05020-2] [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] [Received: 06/24/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
Background Chromosome conformation capture and its derivatives have provided substantial genetic data for understanding how chromatin self-organizes. These techniques have identified regions of high intrasequence interactions called topologically associated domains (TADs). TADs are structural and functional units that shape chromosomes and influence genomic expression. Many of these domains differ across cell development and can be impacted by diseases. Thus, analysis of the identified domains can provide insight into genome regulation. Hence, there are many approaches to identifying such domains across many cell lines. Despite the availability of multiple tools for TAD detection, TAD callers' speed, flexibility, result inconsistency, and reproducibility remain challenges in this research area. Results In this work, we developed a computational webserver called TADMaster that provides an analysis suite to directly evaluate the concordance level and robustness of two or more TAD data on any given genome region. The suite provides multiple visual and quantitative metrics to compare the identified domains' number, size, and various comparisons of shared domains, domain boundaries, and domain overlap. Conclusions TADMaster is an efficient and easy-to-use web application that provides a set of consensus and unique TADs to inform the choice of TADs. It can be accessed at http://tadmaster.io and is also available as a containerized application that can be deployed and run locally on any platform or operating system. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-05020-2.
Collapse
|
11
|
Zheng Y, Shen S, Keleş S. Normalization and de-noising of single-cell Hi-C data with BandNorm and scVI-3D. Genome Biol 2022; 23:222. [PMID: 36253828 PMCID: PMC9575231 DOI: 10.1186/s13059-022-02774-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 09/19/2022] [Indexed: 11/10/2022] Open
Abstract
Single-cell high-throughput chromatin conformation capture methodologies (scHi-C) enable profiling of long-range genomic interactions. However, data from these technologies are prone to technical noise and biases that hinder downstream analysis. We develop a normalization approach, BandNorm, and a deep generative modeling framework, scVI-3D, to account for scHi-C specific biases. In benchmarking experiments, BandNorm yields leading performances in a time and memory efficient manner for cell-type separation, identification of interacting loci, and recovery of cell-type relationships, while scVI-3D exhibits advantages for rare cell types and under high sparsity scenarios. Application of BandNorm coupled with gene-associating domain analysis reveals scRNA-seq validated sub-cell type identification.
Collapse
Affiliation(s)
- Ye Zheng
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA
| | - Siqi Shen
- Department of Biostatistics and Medical Informatics, University of Wisconsin - Madison, Madison, USA
| | - Sündüz Keleş
- Department of Biostatistics and Medical Informatics, University of Wisconsin - Madison, Madison, USA
- Department of Statistics, University of Wisconsin - Madison, Madison, USA
| |
Collapse
|
12
|
DNA methylation in transposable elements buffers the connection between three-dimensional chromatin organization and gene transcription upon rice genome duplication. J Adv Res 2022; 42:41-53. [PMID: 35933090 PMCID: PMC9788948 DOI: 10.1016/j.jare.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 07/05/2022] [Accepted: 07/23/2022] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Polyploidy is a major force in plant evolution and the domestication of cultivated crops. OBJECTIVES The study aimed to explore the relationship and underlying mechanism between three-dimensional (3D) chromatin organization and gene transcription upon rice genome duplication. METHODS The 3D chromatin structures between diploid (2C) and autotetraploid (4C) rice were compared using high-throughput chromosome conformation capture (Hi-C) analysis. The study combined genetics, transcriptomics, whole-genome bisulfite sequencing (WGBS-seq) and 3D genomics approaches to uncover the mechanism for DNA methylation in modulating gene transcription through 3D chromatin architectures upon rice genome duplication. RESULTS We found that 4C rice presents weakened intra-chromosomal interactions compared to its 2C progenitor in some chromosomes. In addition, we found that changes of 3D chromatin organizations including chromatin compartments, topologically associating domains (TADs), and loops, are uncorrelated with gene transcription. Moreover, DNA methylations in the regulatory sequences of genes in compartment A/B switched regions and TAD boundaries are unrelated to their expression. Importantly, although there was no significant difference in the methylation levels in transposable elements (TEs) in differentially expressed gene (DEG) and non-DEG promoters between 2C and 4C rice, we found that the hypermethylated TEs across genes in compartment A/B switched regions and TAD boundaries may suppress the expression of these genes. CONCLUSION The study proposed that the rice genome doubling might modulate TE methylation to buffer the effects of chromatin architecture on gene transcription in compartment A/B switched regions and TAD boundaries, resulting in the disconnection between 3D chromatin structure alteration and gene transcription upon rice genome duplication.
Collapse
|
13
|
Ballarino R, Bouwman BAM, Agostini F, Harbers L, Diekmann C, Wernersson E, Bienko M, Crosetto N. An atlas of endogenous DNA double-strand breaks arising during human neural cell fate determination. Sci Data 2022; 9:400. [PMID: 35821502 PMCID: PMC9276747 DOI: 10.1038/s41597-022-01508-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 06/22/2022] [Indexed: 11/25/2022] Open
Abstract
Endogenous DNA double-strand breaks (DSBs) occurring in neural cells have been implicated in the pathogenesis of neurodevelopmental disorders (NDDs). Currently, a genomic map of endogenous DSBs arising during human neurogenesis is missing. Here, we applied in-suspension Breaks Labeling In Situ and Sequencing (sBLISS), RNA-Seq, and Hi-C to chart the genomic landscape of DSBs and relate it to gene expression and genome architecture in 2D cultures of human neuroepithelial stem cells (NES), neural progenitor cells (NPC), and post-mitotic neural cells (NEU). Endogenous DSBs were enriched at the promoter and along the gene body of transcriptionally active genes, at the borders of topologically associating domains (TADs), and around chromatin loop anchors. NDD risk genes harbored significantly more DSBs in comparison to other protein-coding genes, especially in NEU cells. We provide sBLISS, RNA-Seq, and Hi-C datasets for each differentiation stage, and all the scripts needed to reproduce our analyses. Our datasets and tools represent a unique resource that can be harnessed to investigate the role of genome fragility in the pathogenesis of NDDs. Measurement(s) | DNA Double Strand Break • Transcriptome • Whole Genome Sequencing • Chromosome conformation capture assay • Tumor Suppressor p53-Binding Protein 1 | Technology Type(s) | sBLISS - Genome-wide detection of DNA double-strand breaks by in-suspension breaks labeling in situ and sequencing • RNA-seq of total RNA • copy number variation profiling assay • Hi-C • Immunocytochemistry | Factor Type(s) | Human Neural Cell Fate Specification | Sample Characteristic - Organism | Homo sapiens | Sample Characteristic - Environment | cell culture |
Collapse
Affiliation(s)
- Roberto Ballarino
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, SE-17165, Sweden.,Science for Life Laboratory, Tomtebodavägen 23 A, Solna, SE-17165, Sweden.,Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17165, Sweden
| | - Britta A M Bouwman
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, SE-17165, Sweden.,Science for Life Laboratory, Tomtebodavägen 23 A, Solna, SE-17165, Sweden
| | - Federico Agostini
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, SE-17165, Sweden.,Science for Life Laboratory, Tomtebodavägen 23 A, Solna, SE-17165, Sweden
| | - Luuk Harbers
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, SE-17165, Sweden.,Science for Life Laboratory, Tomtebodavägen 23 A, Solna, SE-17165, Sweden
| | - Constantin Diekmann
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, SE-17165, Sweden.,Science for Life Laboratory, Tomtebodavägen 23 A, Solna, SE-17165, Sweden
| | - Erik Wernersson
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, SE-17165, Sweden.,Science for Life Laboratory, Tomtebodavägen 23 A, Solna, SE-17165, Sweden
| | - Magda Bienko
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, SE-17165, Sweden. .,Science for Life Laboratory, Tomtebodavägen 23 A, Solna, SE-17165, Sweden. .,Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy.
| | - Nicola Crosetto
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, SE-17165, Sweden. .,Science for Life Laboratory, Tomtebodavägen 23 A, Solna, SE-17165, Sweden. .,Human Technopole, Viale Rita Levi-Montalcini 1, 20157, Milan, Italy.
| |
Collapse
|
14
|
Zhang YW, Chen L, Li SC. Detecting TAD-like domains from RNA-associated interactions. Nucleic Acids Res 2022; 50:e88. [PMID: 35639502 PMCID: PMC9410901 DOI: 10.1093/nar/gkac422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/02/2022] [Accepted: 05/09/2022] [Indexed: 12/25/2022] Open
Abstract
Topologically associated domains (TADs) are crucial chromatin structural units. Evidence has illustrated that RNA–chromatin and RNA–RNA spatial interactions, so-called RNA-associated interactions (RAIs), may be associated with TAD-like domains (TLDs). To decode hierarchical TLDs from RAIs, we proposed SuperTLD, a domain detection algorithm incorporating imputation. We applied SuperTLD on four RAI data sets and compared TLDs with the TADs identified from the corresponding Hi-C datasets. The TLDs and TADs share a moderate similarity of hierarchies ≥ 0.5312 and the finest structures ≥ 0.8295. Comparison between boundaries and domains further demonstrated the novelty of TLDs. Enrichment analysis of epigenetic characteristics illustrated that the novel TLDs exhibit an enriched CTCF by 0.6245 fold change and H3 histone marks enriched within domains. GO analysis on the TLD novel boundaries exhibited enriched diverse terms, revealing TLDs’ formation mechanism related closely to gene regulation.
Collapse
Affiliation(s)
- Yu Wei Zhang
- Department of Computer Science, City University of Hong Kong, Hong Kong
| | - Lingxi Chen
- Department of Computer Science, City University of Hong Kong, Hong Kong
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong, Hong Kong.,Department of Biomedical Engineering, City University of Hong Kong, Hong Kong
| |
Collapse
|
15
|
Mourad R. TADreg: a versatile regression framework for TAD identification, differential analysis and rearranged 3D genome prediction. BMC Bioinformatics 2022; 23:82. [PMID: 35236295 PMCID: PMC8892791 DOI: 10.1186/s12859-022-04614-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 02/16/2022] [Indexed: 11/10/2022] Open
Abstract
Background/Aim In higher eukaryotes, the three-dimensional (3D) organization of the genome is intimately related to numerous key biological functions including gene expression, DNA repair and DNA replication regulations. Alteration of 3D organization, in particular topologically associating domains (TADs), is detrimental to the organism and can give rise to a broad range of diseases such as cancers. Methods Here, we propose a versatile regression framework which not only identifies TADs in a fast and accurate manner, but also detects differential TAD borders across conditions for which few methods exist, and predicts 3D genome reorganization after chromosomal rearrangement. Moreover, the framework is biologically meaningful, has an intuitive interpretation and is easy to visualize. Result and conclusion The novel regression ranks among top TAD callers. Moreover, it identifies new features of the genome we called TAD facilitators, and that are enriched with specific transcription factors. It also unveils the importance of cell-type specific transcription factors in establishing novel TAD borders during neuronal differentiation. Lastly, it compares favorably with the state-of-the-art method for predicting rearranged 3D genome. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04614-0.
Collapse
Affiliation(s)
- Raphaël Mourad
- CNRS, UPS, MCD, Centre de Biologie Intégrative (CBI), University of Toulouse, 31062, Toulouse, France.
| |
Collapse
|
16
|
Pei L, Huang X, Liu Z, Tian X, You J, Li J, Fang DD, Lindsey K, Zhu L, Zhang X, Wang M. Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation. Genome Biol 2022; 23:45. [PMID: 35115029 PMCID: PMC8812185 DOI: 10.1186/s13059-022-02616-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 01/20/2022] [Indexed: 11/10/2022] Open
Abstract
Background Despite remarkable advances in our knowledge of epigenetically mediated transcriptional programming of cell differentiation in plants, little is known about chromatin topology and its functional implications in this process. Results To interrogate its significance, we establish the dynamic three-dimensional (3D) genome architecture of the allotetraploid cotton fiber, representing a typical single cell undergoing staged development in plants. We show that the subgenome-relayed switching of the chromatin compartment from active to inactive is coupled with the silencing of developmentally repressed genes, pinpointing subgenome-coordinated contribution to fiber development. We identify 10,571 topologically associating domain-like (TAD-like) structures, of which 25.6% are specifically organized in different stages and 75.23% are subject to partition or fusion between two subgenomes. Notably, dissolution of intricate TAD-like structure cliques showing long-range interactions represents a prominent characteristic at the later developmental stage. Dynamic chromatin loops are found to mediate the rewiring of gene regulatory networks that exhibit a significant difference between the two subgenomes, implicating expression bias of homologous genes. Conclusions This study sheds light on the spatial-temporal asymmetric chromatin structures of two subgenomes in the cotton fiber and offers a new insight into the regulatory orchestration of cell differentiation in plants. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02616-y.
Collapse
Affiliation(s)
- Liuling Pei
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Xianhui Huang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Zhenping Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Xuehan Tian
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Jiaqi You
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Jianying Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - David D Fang
- Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA
| | - Keith Lindsey
- Department of Biosciences, Durham University, Durham, DH1 3LE, UK
| | - Longfu Zhu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| |
Collapse
|
17
|
Warwick T, Schulz MH, Gilsbach R, Brandes RP, Seuter S. OUP accepted manuscript. Nucleic Acids Res 2022; 50:3745-3763. [PMID: 35325193 PMCID: PMC9023275 DOI: 10.1093/nar/gkac178] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 02/23/2022] [Accepted: 03/07/2022] [Indexed: 12/02/2022] Open
Abstract
Spatial genome organization is tightly controlled by several regulatory mechanisms and is essential for gene expression control. Nuclear receptors are ligand-activated transcription factors that modulate physiological and pathophysiological processes and are primary pharmacological targets. DNA binding of the important loop-forming insulator protein CCCTC-binding factor (CTCF) was modulated by 1α,25-dihydroxyvitamin D3 (1,25(OH)2D3). We performed CTCF HiChIP assays to produce the first genome-wide dataset of CTCF long-range interactions in 1,25(OH)2D3-treated cells, and to determine whether dynamic changes of spatial chromatin interactions are essential for fine-tuning of nuclear receptor signaling. We detected changes in 3D chromatin organization upon vitamin D receptor (VDR) activation at 3.1% of all observed CTCF interactions. VDR binding was enriched at both differential loop anchors and within differential loops. Differential loops were observed in several putative functional roles including TAD border formation, promoter-enhancer looping, and establishment of VDR-responsive insulated neighborhoods. Vitamin D target genes were enriched in differential loops and at their anchors. Secondary vitamin D effects related to dynamic chromatin domain changes were linked to location of downstream transcription factors in differential loops. CRISPR interference and loop anchor deletion experiments confirmed the functional relevance of nuclear receptor ligand-induced adjustments of the chromatin 3D structure for gene expression regulation.
Collapse
Affiliation(s)
- Timothy Warwick
- Institute for Cardiovascular Physiology, Goethe University, Frankfurt/Main, Germany
- German Center for Cardiovascular Research (DZHK), Partner site Rhein-Main 60590, Frankfurt am Main, Germany
| | - Marcel H Schulz
- Institute for Cardiovascular Regeneration, Goethe University, Frankfurt/Main, Germany
- German Center for Cardiovascular Research (DZHK), Partner site Rhein-Main 60590, Frankfurt am Main, Germany
| | - Ralf Gilsbach
- Institute for Cardiovascular Physiology, Goethe University, Frankfurt/Main, Germany
- German Center for Cardiovascular Research (DZHK), Partner site Rhein-Main 60590, Frankfurt am Main, Germany
| | - Ralf P Brandes
- Institute for Cardiovascular Physiology, Goethe University, Frankfurt/Main, Germany
- German Center for Cardiovascular Research (DZHK), Partner site Rhein-Main 60590, Frankfurt am Main, Germany
| | - Sabine Seuter
- To whom correspondence should be addressed. Tel: +49 69 6301 6996,
| |
Collapse
|
18
|
Ge X, Frank-Bertoncelj M, Klein K, McGovern A, Kuret T, Houtman M, Burja B, Micheroli R, Shi C, Marks M, Filer A, Buckley CD, Orozco G, Distler O, Morris AP, Martin P, Eyre S, Ospelt C. Functional genomics atlas of synovial fibroblasts defining rheumatoid arthritis heritability. Genome Biol 2021; 22:247. [PMID: 34433485 PMCID: PMC8385949 DOI: 10.1186/s13059-021-02460-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 08/10/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Genome-wide association studies have reported more than 100 risk loci for rheumatoid arthritis (RA). These loci are shown to be enriched in immune cell-specific enhancers, but the analysis so far has excluded stromal cells, such as synovial fibroblasts (FLS), despite their crucial involvement in the pathogenesis of RA. Here we integrate DNA architecture, 3D chromatin interactions, DNA accessibility, and gene expression in FLS, B cells, and T cells with genetic fine mapping of RA loci. RESULTS We identify putative causal variants, enhancers, genes, and cell types for 30-60% of RA loci and demonstrate that FLS account for up to 24% of RA heritability. TNF stimulation of FLS alters the organization of topologically associating domains, chromatin state, and the expression of putative causal genes such as TNFAIP3 and IFNAR1. Several putative causal genes constitute RA-relevant functional networks in FLS with roles in cellular proliferation and activation. Finally, we demonstrate that risk variants can have joint-specific effects on target gene expression in RA FLS, which may contribute to the development of the characteristic pattern of joint involvement in RA. CONCLUSION Overall, our research provides the first direct evidence for a causal role of FLS in the genetic susceptibility for RA accounting for up to a quarter of RA heritability.
Collapse
Affiliation(s)
- Xiangyu Ge
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Mojca Frank-Bertoncelj
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kerstin Klein
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Amanda McGovern
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Tadeja Kuret
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Rheumatology, University Medical Centre, Ljubljana, Slovenia
| | - Miranda Houtman
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Blaž Burja
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Rheumatology, University Medical Centre, Ljubljana, Slovenia
| | - Raphael Micheroli
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Chenfu Shi
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | | | - Andrew Filer
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Birmingham, UK
| | - Christopher D Buckley
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Birmingham, UK
- Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Headington, Oxford, UK
| | - Gisela Orozco
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Foundation Trust, Manchester, UK
| | - Oliver Distler
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Paul Martin
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Foundation Trust, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Stephen Eyre
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Foundation Trust, Manchester, UK
| | - Caroline Ospelt
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| |
Collapse
|
19
|
Li X, Zeng G, Li A, Zhang Z. DeTOKI identifies and characterizes the dynamics of chromatin TAD-like domains in a single cell. Genome Biol 2021; 22:217. [PMID: 34311744 PMCID: PMC8314462 DOI: 10.1186/s13059-021-02435-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 07/14/2021] [Indexed: 12/19/2022] Open
Abstract
Topologically associating domains (TAD) are a key structure of the 3D mammalian genomes. However, the prevalence and dynamics of TAD-like domains in single cells remain elusive. Here we develop a new algorithm, named deTOKI, to decode TAD-like domains with single-cell Hi-C data. By non-negative matrix factorization, deTOKI seeks regions that insulate the genome into blocks with minimal chance of clustering. deTOKI outperforms competing tools and reliably identifies TAD-like domains in single cells. Finally, we find that TAD-like domains are not only prevalent, but also subject to tight regulation in single cells.
Collapse
Affiliation(s)
- Xiao Li
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, 100101, China
- School of Life Science, University of Chinese Academy of Sciences, Beijing, People's Republic of China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Guangjie Zeng
- State Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, 100083, Beijing, People's Republic of China
| | - Angsheng Li
- State Key Laboratory of Software Development Environment, School of Computer Science, Beihang University, 100083, Beijing, People's Republic of China
| | - Zhihua Zhang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, 100101, China.
- School of Life Science, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
| |
Collapse
|
20
|
Abstract
The spatial organization of the genome in the cell nucleus is pivotal to cell function. However, how the 3D genome organization and its dynamics influence cellular phenotypes remains poorly understood. The very recent development of single-cell technologies for probing the 3D genome, especially single-cell Hi-C (scHi-C), has ushered in a new era of unveiling cell-to-cell variability of 3D genome features at an unprecedented resolution. Here, we review recent developments in computational approaches to the analysis of scHi-C, including data processing, dimensionality reduction, imputation for enhancing data quality, and the revealing of 3D genome features at single-cell resolution. While much progress has been made in computational method development to analyze single-cell 3D genomes, substantial future work is needed to improve data interpretation and multimodal data integration, which are critical to reveal fundamental connections between genome structure and function among heterogeneous cell populations in various biological contexts.
Collapse
Affiliation(s)
- Tianming Zhou
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA;
| | - Ruochi Zhang
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA;
| | - Jian Ma
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA;
| |
Collapse
|
21
|
Garcia-Lozano M, Natarajan P, Levi A, Katam R, Lopez-Ortiz C, Nimmakayala P, Reddy UK. Altered chromatin conformation and transcriptional regulation in watermelon following genome doubling. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 106:588-600. [PMID: 33788333 DOI: 10.1111/tpj.15256] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 03/26/2021] [Indexed: 06/12/2023]
Abstract
Polyploidy has played a crucial role in plant evolution, development and function. Synthetic autopolyploid represents an ideal system to investigate the effects of polyploidization on transcriptional regulation. In this study, we deciphered the impact of genome duplication at phenotypic and molecular levels in watermelon. Overall, 88% of the genes in tetraploid watermelon followed a >1:1 dosage effect, and accordingly, differentially expressed genes were largely upregulated. In addition, a great number of hypomethylated regions (1688) were identified in an isogenic tetraploid watermelon. These differentially methylated regions were localized in promoters and intergenic regions and near transcriptional start sites of the identified upregulated genes, which enhances the importance of methylation in gene regulation. These changes were reflected in sophisticated higher-order chromatin structures. The genome doubling caused switching of 108 A and 626 B compartments that harbored genes associated with growth, development and stress responses.
Collapse
Affiliation(s)
- Marleny Garcia-Lozano
- Department of Biology, Gus R. Douglass Institute, West Virginia State University Institute, Charleston, WV, USA
| | - Purushothaman Natarajan
- Department of Biology, Gus R. Douglass Institute, West Virginia State University Institute, Charleston, WV, USA
| | - Amnon Levi
- USDA, ARS, U.S. Vegetable Lab, Charleston, SC, USA
| | - Ramesh Katam
- Department of Biological Sciences, Florida A&M University, Tallahassee, FL, USA
| | - Carlos Lopez-Ortiz
- Department of Biology, Gus R. Douglass Institute, West Virginia State University Institute, Charleston, WV, USA
| | - Padma Nimmakayala
- Department of Biology, Gus R. Douglass Institute, West Virginia State University Institute, Charleston, WV, USA
| | - Umesh K Reddy
- Department of Biology, Gus R. Douglass Institute, West Virginia State University Institute, Charleston, WV, USA
| |
Collapse
|
22
|
Xing H, Wu Y, Zhang MQ, Chen Y. Deciphering hierarchical organization of topologically associated domains through change-point testing. BMC Bioinformatics 2021; 22:183. [PMID: 33838653 PMCID: PMC8037919 DOI: 10.1186/s12859-021-04113-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 03/30/2021] [Indexed: 12/20/2022] Open
Abstract
Background The nucleus of eukaryotic cells spatially packages chromosomes into a hierarchical and distinct segregation that plays critical roles in maintaining transcription regulation. High-throughput methods of chromosome conformation capture, such as Hi-C, have revealed topologically associating domains (TADs) that are defined by biased chromatin interactions within them. Results We introduce a novel method, HiCKey, to decipher hierarchical TAD structures in Hi-C data and compare them across samples. We first derive a generalized likelihood-ratio (GLR) test for detecting change-points in an interaction matrix that follows a negative binomial distribution or general mixture distribution. We then employ several optimal search strategies to decipher hierarchical TADs with p values calculated by the GLR test. Large-scale validations of simulation data show that HiCKey has good precision in recalling known TADs and is robust against random collisions of chromatin interactions. By applying HiCKey to Hi-C data of seven human cell lines, we identified multiple layers of TAD organization among them, but the vast majority had no more than four layers. In particular, we found that TAD boundaries are significantly enriched in active chromosomal regions compared to repressed regions. Conclusions HiCKey is optimized for processing large matrices constructed from high-resolution Hi-C experiments. The method and theoretical result of the GLR test provide a general framework for significance testing of similar experimental chromatin interaction data that may not fully follow negative binomial distributions but rather more general mixture distributions. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-021-04113-8.
Collapse
Affiliation(s)
- Haipeng Xing
- Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, 100 Nicolls Rd, Stony Brook, NY, 11794, USA
| | - Yingru Wu
- Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, 100 Nicolls Rd, Stony Brook, NY, 11794, USA
| | - Michael Q Zhang
- Center for System Biology, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, 75080, USA
| | - Yong Chen
- Department of Molecular and Cellular Biosciences, Rowan University, 201 Mullica Hill Rd, Glassboro, NJ, 08028, USA.
| |
Collapse
|
23
|
Gong H, Yang Y, Zhang S, Li M, Zhang X. Application of Hi-C and other omics data analysis in human cancer and cell differentiation research. Comput Struct Biotechnol J 2021; 19:2070-2083. [PMID: 33995903 PMCID: PMC8086027 DOI: 10.1016/j.csbj.2021.04.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/04/2021] [Accepted: 04/04/2021] [Indexed: 02/07/2023] Open
Abstract
With the development of 3C (chromosome conformation capture) and its derivative technology Hi-C (High-throughput chromosome conformation capture) research, the study of the spatial structure of the genomic sequence in the nucleus helps researchers understand the functions of biological processes such as gene transcription, replication, repair, and regulation. In this paper, we first introduce the research background and purpose of Hi-C data visualization analysis. After that, we discuss the Hi-C data analysis methods from genome 3D structure, A/B compartment, TADs (topologically associated domain), and loop detection. We also discuss how to apply genome visualization technologies to the identification of chromosome feature structures. We continue with a review of correlation analysis differences among multi-omics data, and how to apply Hi-C and other omics data analysis into cancer and cell differentiation research. Finally, we summarize the various problems in joint analyses based on Hi-C and other multi-omics data. We believe this review can help researchers better understand the progress and applications of 3D genome technology.
Collapse
Affiliation(s)
- Haiyan Gong
- Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing 100083, China
- Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing 100083, China
- Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China
- Shunde Graduate School of University of Science and Technology Beijing, Foshan 528000, China
| | - Yi Yang
- Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing 100083, China
| | - Sichen Zhang
- Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing 100083, China
| | - Minghong Li
- Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing 100083, China
| | - Xiaotong Zhang
- Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing 100083, China
- Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing 100083, China
- Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China
- Shunde Graduate School of University of Science and Technology Beijing, Foshan 528000, China
| |
Collapse
|
24
|
Lee BH, Rhie SK. Molecular and computational approaches to map regulatory elements in 3D chromatin structure. Epigenetics Chromatin 2021; 14:14. [PMID: 33741028 PMCID: PMC7980343 DOI: 10.1186/s13072-021-00390-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 03/08/2021] [Indexed: 12/19/2022] Open
Abstract
Epigenetic marks do not change the sequence of DNA but affect gene expression in a cell-type specific manner by altering the activities of regulatory elements. Development of new molecular biology assays, sequencing technologies, and computational approaches enables us to profile the human epigenome in three-dimensional structure genome-wide. Here we describe various molecular biology techniques and bioinformatic tools that have been developed to measure the activities of regulatory elements and their chromatin interactions. Moreover, we list currently available three-dimensional epigenomic data sets that are generated in various human cell types and tissues to assist in the design and analysis of research projects.
Collapse
Affiliation(s)
- Beoung Hun Lee
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | - Suhn K Rhie
- Department of Biochemistry and Molecular Medicine and the Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA.
| |
Collapse
|
25
|
Crowley C, Yang Y, Qiu Y, Hu B, Abnousi A, Lipiński J, Plewczyński D, Wu D, Won H, Ren B, Hu M, Li Y. FIREcaller: Detecting frequently interacting regions from Hi-C data. Comput Struct Biotechnol J 2020; 19:355-362. [PMID: 33489005 PMCID: PMC7788093 DOI: 10.1016/j.csbj.2020.12.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/16/2020] [Accepted: 12/20/2020] [Indexed: 01/02/2023] Open
Abstract
Hi-C experiments have been widely adopted to study chromatin spatial organization, which plays an essential role in genome function. We have recently identified frequently interacting regions (FIREs) and found that they are closely associated with cell-type-specific gene regulation. However, computational tools for detecting FIREs from Hi-C data are still lacking. In this work, we present FIREcaller, a stand-alone, user-friendly R package for detecting FIREs from Hi-C data. FIREcaller takes raw Hi-C contact matrices as input, performs within-sample and cross-sample normalization, and outputs continuous FIRE scores, dichotomous FIREs, and super-FIREs. Applying FIREcaller to Hi-C data from various human tissues, we demonstrate that FIREs and super-FIREs identified, in a tissue-specific manner, are closely related to gene regulation, are enriched for enhancer-promoter (E-P) interactions, tend to overlap with regions exhibiting epigenomic signatures of cis-regulatory roles, and aid the interpretation or GWAS variants. The FIREcaller package is implemented in R and freely available at https://yunliweb.its.unc.edu/FIREcaller.
Collapse
Affiliation(s)
- Cheynna Crowley
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Yuchen Yang
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Yunjiang Qiu
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, USA
| | - Benxia Hu
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
- UNC Neuroscience Center, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Armen Abnousi
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | | | - Dariusz Plewczyński
- Cellular Genomics, Warsaw, Poland
- Department of Mathematics and Information Science, Warsaw University of Technology, Warszawa, Poland
| | - Di Wu
- Department of Biostatistics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
- Division of Oral and Craniofacial Health Sciences, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hyejung Won
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
- UNC Neuroscience Center, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Bing Ren
- Ludwig Institute for Cancer Research, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute of Genomic Medicine and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Ming Hu
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Yun Li
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
- Department of Computer Science, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| |
Collapse
|
26
|
Kurup JT, Han Z, Jin W, Kidder BL. H4K20me3 methyltransferase SUV420H2 shapes the chromatin landscape of pluripotent embryonic stem cells. Development 2020; 147:dev.188516. [PMID: 33144397 DOI: 10.1242/dev.188516] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 10/27/2020] [Indexed: 12/27/2022]
Abstract
Heterochromatin, a densely packed chromatin state that is transcriptionally silent, is a critical regulator of gene expression. However, it is unclear how the repressive histone modification H4K20me3 or the histone methyltransferase SUV420H2 regulates embryonic stem (ES) cell fate by patterning the epigenetic landscape. Here, we report that depletion of SUV420H2 leads to a near-complete loss of H4K20me3 genome wide, dysregulated gene expression and delayed ES cell differentiation. SUV420H2-bound regions are enriched with repetitive DNA elements, which are de-repressed in SUV420H2 knockout ES cells. Moreover, SUV420H2 regulation of H4K20me3-marked heterochromatin controls chromatin architecture, including fine-scale chromatin interactions in pluripotent ES cells. Our results indicate that SUV420H2 plays a crucial role in stabilizing the three-dimensional chromatin landscape of ES cells, as loss of SUV420H2 resulted in A/B compartment switching, perturbed chromatin insulation, and altered chromatin interactions of pericentric heterochromatin and surrounding regions, indicative of localized decondensation. In addition, depletion of SUV420H2 resulted in compromised interactions between H4K20me3 and gene-regulatory regions. Together, these findings describe a new role for SUV420H2 in regulating the chromatin landscape of ES cells.
Collapse
Affiliation(s)
- Jiji T Kurup
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA.,Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Zhijun Han
- Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China
| | - Wenfei Jin
- Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China
| | - Benjamin L Kidder
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI 48201, USA .,Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA
| |
Collapse
|
27
|
Nanni L, Ceri S, Logie C. Spatial patterns of CTCF sites define the anatomy of TADs and their boundaries. Genome Biol 2020; 21:197. [PMID: 32782014 PMCID: PMC7422557 DOI: 10.1186/s13059-020-02108-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 07/14/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Topologically associating domains (TADs) are genomic regions of self-interaction. Additionally, it is known that TAD boundaries are enriched in CTCF binding sites. In turn, CTCF sites are known to be asymmetric, whereby the convergent configuration of a pair of CTCF sites leads to the formation of a chromatin loop in vivo. However, to date, it has been unclear how to reconcile TAD structure with CTCF-based chromatin loops. RESULTS We approach this problem by analysing CTCF binding site strengths and classifying clusters of CTCF sites along the genome on the basis of their relative orientation. Analysis of CTCF site orientation classes as a function of their spatial distribution along the human genome reveals that convergent CTCF site clusters are depleted while divergent CTCF clusters are enriched in the 5- to 100-kb range. We then analyse the distribution of CTCF binding sites as a function of TAD boundary conservation across seven primary human blood cell types. This reveals divergent CTCF site enrichment at TAD boundaries. Furthermore, convergent arrays of CTCF sites separate the left and right sections of TADs that harbour internal CTCF sites, resulting in unequal TAD 'halves'. CONCLUSIONS The orientation-based CTCF binding site cluster classification that we present reconciles TAD boundaries and CTCF site clusters in a mechanistically elegant fashion. This model suggests that the emergent structure of nuclear chromatin in the form of TADs relies on the obligate alternation of divergent and convergent CTCF site clusters that occur at different length scales along the genome.
Collapse
Affiliation(s)
- Luca Nanni
- Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
| | - Stefano Ceri
- Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
| | - Colin Logie
- Department of Molecular Biology, Radboud Institute for Molecular Life Sciences, Faculty of Science, Radboud University, PO box 9101, 6500 HG Nijmegen, The Netherlands
| |
Collapse
|