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Deng L, Zhou Q, Zhou J, Zhang Q, Jia Z, Zhu G, Cheng S, Cheng L, Yin C, Yang C, Shen J, Nie J, Zhu JK, Li G, Zhao L. 3D organization of regulatory elements for transcriptional regulation in Arabidopsis. Genome Biol 2023; 24:181. [PMID: 37550699 PMCID: PMC10405511 DOI: 10.1186/s13059-023-03018-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 07/20/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Although spatial organization of compartments and topologically associating domains at large scale is relatively well studied, the spatial organization of regulatory elements at fine scale is poorly understood in plants. RESULTS Here we perform high-resolution chromatin interaction analysis using paired-end tag sequencing approach. We map chromatin interactions tethered with RNA polymerase II and associated with heterochromatic, transcriptionally active, and Polycomb-repressive histone modifications in Arabidopsis. Analysis of the regulatory repertoire shows that distal active cis-regulatory elements are linked to their target genes through long-range chromatin interactions with increased expression of the target genes, while poised cis-regulatory elements are linked to their target genes through long-range chromatin interactions with depressed expression of the target genes. Furthermore, we demonstrate that transcription factor MYC2 is critical for chromatin spatial organization, and propose that MYC2 occupancy and MYC2-mediated chromatin interactions coordinately facilitate transcription within the framework of 3D chromatin architecture. Analysis of functionally related gene-defined chromatin connectivity networks reveals that genes implicated in flowering-time control are functionally compartmentalized into separate subdomains via their spatial activity in the leaf or shoot apical meristem, linking active mark- or Polycomb-repressive mark-associated chromatin conformation to coordinated gene expression. CONCLUSION The results reveal that the regulation of gene transcription in Arabidopsis is not only by linear juxtaposition, but also by long-range chromatin interactions. Our study uncovers the fine scale genome organization of Arabidopsis and the potential roles of such organization in orchestrating transcription and development.
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Affiliation(s)
- Li Deng
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Qiangwei Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jie Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Qing Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhibo Jia
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guangfeng Zhu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Sheng Cheng
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan, 430070, China
| | - Lulu Cheng
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Caijun Yin
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Chao Yang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jinxiong Shen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Junwei Nie
- Vazyme Biotech Co., Ltd., Nanjing, 210000, China
| | - Jian-Kang Zhu
- Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China.
- Center for Advanced Bioindustry Technologies, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Guoliang Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
- Agricultural Bioinformatics Key Laboratory of Hubei Province and Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Lun Zhao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
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2
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Chen M, Liu X, Liu Q, Shi D, Li H. 3D genomics and its applications in precision medicine. Cell Mol Biol Lett 2023; 28:19. [PMID: 36879202 PMCID: PMC9987123 DOI: 10.1186/s11658-023-00428-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 02/06/2023] [Indexed: 03/08/2023] Open
Abstract
Three-dimensional (3D) genomics is an emerging discipline that studies the three-dimensional structure of chromatin and the three-dimensional and functions of genomes. It mainly studies the three-dimensional conformation and functional regulation of intranuclear genomes, such as DNA replication, DNA recombination, genome folding, gene expression regulation, transcription factor regulation mechanism, and the maintenance of three-dimensional conformation of genomes. Self-chromosomal conformation capture (3C) technology has been developed, and 3D genomics and related fields have developed rapidly. In addition, chromatin interaction analysis techniques developed by 3C technologies, such as paired-end tag sequencing (ChIA-PET) and whole-genome chromosome conformation capture (Hi-C), enable scientists to further study the relationship between chromatin conformation and gene regulation in different species. Thus, the spatial conformation of plant, animal, and microbial genomes, transcriptional regulation mechanisms, interaction patterns of chromosomes, and the formation mechanism of spatiotemporal specificity of genomes are revealed. With the help of new experimental technologies, the identification of key genes and signal pathways related to life activities and diseases is sustaining the rapid development of life science, agriculture, and medicine. In this paper, the concept and development of 3D genomics and its application in agricultural science, life science, and medicine are introduced, which provides a theoretical basis for the study of biological life processes.
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Affiliation(s)
- Mengjie Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi Province, China
| | - Xingyu Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi Province, China
| | - Qingyou Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi Province, China.,Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Deshun Shi
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi Province, China.
| | - Hui Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi Province, China.
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3
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Zhang L, Xu M, Zhang W, Zhu C, Cui Z, Fu H, Ma Y, Huang S, Cui J, Liang S, Huang L, Wang H. Three-dimensional genome landscape comprehensively reveals patterns of spatial gene regulation in papillary and anaplastic thyroid cancers: a study using representative cell lines for each cancer type. Cell Mol Biol Lett 2023; 28:1. [PMID: 36609218 PMCID: PMC9825046 DOI: 10.1186/s11658-022-00409-6] [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: 04/11/2022] [Accepted: 11/21/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Spatial chromatin structure is intricately linked with somatic aberrations, and somatic mutations of various cancer-related genes, termed co-mutations (CoMuts), occur in certain patterns during cancer initiation and progression. The functional mechanisms underlying these genetic events remain largely unclear in thyroid cancer (TC). With discrepant differentiation, papillary thyroid cancer (PTC) and anaplastic thyroid cancer (ATC) differ greatly in characteristics and prognosis. We aimed to reveal the spatial gene alterations and regulations between the two TC subtypes. METHODS We systematically investigated and compared the spatial co-mutations between ATC (8305C), PTC (BCPAP and TPC-1), and normal thyroid cells (Nthy-ori-3-1). We constructed a framework integrating whole-genome sequencing (WGS), high-throughput chromosome conformation capture (Hi-C), and transcriptome sequencing, to systematically detect the associations between the somatic co-mutations of cancer-related genes, structural variations (SVs), copy number variations (CNVs), and high-order chromatin conformation. RESULTS Spatial co-mutation hotspots were enriched around topologically associating domains (TADs) in TC. A common set of 227 boundaries were identified in both ATC and PTC, with significant overlaps between them. The spatial proximities of the co-mutated gene pairs in the two TC types were significantly greater than in the gene-level and overall backgrounds, and ATC cells had higher TAD contact frequency with CoMuts > 10 compared with PTC cells. Compared with normal thyroid cells, in ATC the number of the created novel three-dimensional chromatin structural domains increased by 10%, and the number of shifted TADs decreased by 7%. We found five TAD blocks with CoMut genes/events specific to ATC with certain mutations in genes including MAST-NSUN4, AM129B/TRUB2, COL5A1/PPP1R26, PPP1R26/GPSM1/CCDC183, and PRAC2/DLX4. For the majority of ATC and PTC cells, the HOXA10 and HIF2α signals close to the transcription start sites of CoMut genes within TADs were significantly stronger than those at the background. CNV breakpoints significantly overlapped with TAD boundaries in both TC subtypes. ATCs had more CNV losses overlapping with TAD boundaries, and noncoding SVs involved in intrachromosomal SVs, amplified inversions, and tandem duplication differed between ATC and PTC. TADs with short range were more abundant in ATC than PTC. More switches of A/B compartment types existed in ATC cells compared with PTC. Gene expression was significantly synchronized, and orchestrated by complex epigenetics and regulatory elements. CONCLUSION Chromatin interactions and gene alterations and regulations are largely heterogeneous in TC. CNVs and complex SVs may function in the TC genome by interplaying with TADs, and are largely different between ATC and PTC. Complexity of TC genomes, which are highly organized by 3D genome-wide interactions mediating mutational and structural variations and gene activation, may have been largely underappreciated. Our comprehensive analysis may provide key evidence and targets for more customized diagnosis and treatment of TC.
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Affiliation(s)
- Linlin Zhang
- grid.412987.10000 0004 0630 1330Department of Nuclear Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China
| | - Miaomiao Xu
- grid.412987.10000 0004 0630 1330Department of Nuclear Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China
| | - Wanchun Zhang
- grid.470966.aDepartment of Nuclear Medicine, Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences), Taiyuan, 03003 China
| | - Chuanying Zhu
- grid.16821.3c0000 0004 0368 8293Department of Oncology, Xin Hua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, 200092 China
| | - Zhilei Cui
- grid.412987.10000 0004 0630 1330Department of Respiratory Medicine, XinHua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China
| | - Hongliang Fu
- grid.412987.10000 0004 0630 1330Department of Nuclear Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China
| | - Yufei Ma
- grid.412987.10000 0004 0630 1330Department of Nuclear Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China
| | - Shuo Huang
- grid.412987.10000 0004 0630 1330Department of Nuclear Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China
| | - Jian Cui
- BioGenius Bioinformatics Institute, Shanghai, 200050 People’s Republic of China
| | - Sheng Liang
- grid.412987.10000 0004 0630 1330Department of Nuclear Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China
| | - Lei Huang
- grid.16821.3c0000 0004 0368 8293Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China ,grid.16821.3c0000 0004 0368 8293Medical Center on Aging of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Hui Wang
- grid.412987.10000 0004 0630 1330Department of Nuclear Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092 China
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4
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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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5
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Epigenetic Application of ATAC-Seq Based on Tn5 Transposase Purification Technology. Genet Res (Camb) 2022; 2022:8429207. [PMID: 36062065 PMCID: PMC9388308 DOI: 10.1155/2022/8429207] [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: 04/17/2022] [Accepted: 06/22/2022] [Indexed: 11/17/2022] Open
Abstract
Background Assays of transposase accessible chromatin sequencing (ATAC-seq) is an efficient assay to investigate chromatin accessibility, which depends on the activity of a robust Tn5 transposase to fragment the genome while cutting in the sequencing adapters. Methods We propose reliable approaches for purifying hyperactive Tn5 transposase by chitin magnetic bead sorting. Double-stranded DNA of J76 cells and 293T cells were digested and subjected to tagmentation as test samples with Tn5 transposase, and libraries were established and sequenced. Sequencing data was then analyzed for peak calling, GO enrichment, and motif analysis. Results We report a set of rapid, efficient, and low-cost methods for ATAC-seq library construction and data analysis, through large-scale and rapid sequencing. These methods can provide a reference for the study of epigenetic regulation of gene expression.
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6
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Mehra D, Adhikari S, Banerjee C, Puchner EM. Characterizing locus specific chromatin structure and dynamics with correlative conventional and super-resolution imaging in living cells. Nucleic Acids Res 2022; 50:e78. [PMID: 35524554 PMCID: PMC9303368 DOI: 10.1093/nar/gkac314] [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: 03/31/2021] [Revised: 04/08/2022] [Accepted: 05/02/2022] [Indexed: 11/23/2022] Open
Abstract
The dynamic rearrangement of chromatin is critical for gene regulation, but mapping both the spatial organization of chromatin and its dynamics remains a challenge. Many structural conformations are too small to be resolved via conventional fluorescence microscopy and the long acquisition time of super-resolution photoactivated localization microscopy (PALM) precludes the structural characterization of chromatin below the optical diffraction limit in living cells due to chromatin motion. Here we develop a correlative conventional fluorescence and PALM imaging approach to quantitatively map time-averaged chromatin structure and dynamics below the optical diffraction limit in living cells. By assigning localizations to a locus as it moves, we reliably discriminate between bound and unbound dCas9 molecules, whose mobilities overlap. Our approach accounts for changes in DNA mobility and relates local chromatin motion to larger scale domain movement. In our experimental system, we show that compacted telomeres move faster and have a higher density of bound dCas9 molecules, but the relative motion of those molecules is more restricted than in less compacted telomeres. Correlative conventional and PALM imaging therefore improves the ability to analyze the mobility and time-averaged nanoscopic structural features of locus specific chromatin with single molecule sensitivity and yields unprecedented insights across length and time scales.
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Affiliation(s)
- Dushyant Mehra
- School of Physics and Astronomy, University of Minnesota, Minneapolis MN, USA.,Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester MN, USA
| | - Santosh Adhikari
- School of Physics and Astronomy, University of Minnesota, Minneapolis MN, USA
| | - Chiranjib Banerjee
- School of Physics and Astronomy, University of Minnesota, Minneapolis MN, USA
| | - Elias M Puchner
- School of Physics and Astronomy, University of Minnesota, Minneapolis MN, USA
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7
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Noble AJ, Purcell RV, Adams AT, Lam YK, Ring PM, Anderson JR, Osborne AJ. A Final Frontier in Environment-Genome Interactions? Integrated, Multi-Omic Approaches to Predictions of Non-Communicable Disease Risk. Front Genet 2022; 13:831866. [PMID: 35211161 PMCID: PMC8861380 DOI: 10.3389/fgene.2022.831866] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/19/2022] [Indexed: 12/26/2022] Open
Abstract
Epidemiological and associative research from humans and animals identifies correlations between the environment and health impacts. The environment—health inter-relationship is effected through an individual’s underlying genetic variation and mediated by mechanisms that include the changes to gene regulation that are associated with the diversity of phenotypes we exhibit. However, the causal relationships have yet to be established, in part because the associations are reduced to individual interactions and the combinatorial effects are rarely studied. This problem is exacerbated by the fact that our genomes are highly dynamic; they integrate information across multiple levels (from linear sequence, to structural organisation, to temporal variation) each of which is open to and responds to environmental influence. To unravel the complexities of the genomic basis of human disease, and in particular non-communicable diseases that are also influenced by the environment (e.g., obesity, type II diabetes, cancer, multiple sclerosis, some neurodegenerative diseases, inflammatory bowel disease, rheumatoid arthritis) it is imperative that we fully integrate multiple layers of genomic data. Here we review current progress in integrated genomic data analysis, and discuss cases where data integration would lead to significant advances in our ability to predict how the environment may impact on our health. We also outline limitations which should form the basis of future research questions. In so doing, this review will lay the foundations for future research into the impact of the environment on our health.
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Affiliation(s)
- Alexandra J Noble
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, United Kingdom
| | - Rachel V Purcell
- Department of Surgery, University of Otago Christchurch, Christchurch, New Zealand
| | - Alex T Adams
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, United Kingdom
| | - Ying K Lam
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, United Kingdom
| | - Paulina M Ring
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Jessica R Anderson
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Amy J Osborne
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
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8
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Chan D, Feng C, England WE, Wyman D, Flynn R, Wang X, Shi Y, Mortazavi A, Spitale R. Diverse functional elements in RNA predicted transcriptome-wide by orthogonal RNA structure probing. Nucleic Acids Res 2021; 49:11868-11882. [PMID: 34634799 PMCID: PMC8599799 DOI: 10.1093/nar/gkab885] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/15/2021] [Accepted: 09/20/2021] [Indexed: 01/02/2023] Open
Abstract
RNA molecules can fold into complex structures and interact with trans-acting factors to control their biology. Recent methods have been focused on developing novel tools to measure RNA structure transcriptome-wide, but their utility to study and predict RNA-protein interactions or RNA processing has been limited thus far. Here, we extend these studies with the first transcriptome-wide mapping method for cataloging RNA solvent accessibility, icLASER. By combining solvent accessibility (icLASER) with RNA flexibility (icSHAPE) data, we efficiently predict RNA-protein interactions transcriptome-wide and catalog RNA polyadenylation sites by RNA structure alone. These studies showcase the power of designing novel chemical approaches to studying RNA biology. Further, our study exemplifies merging complementary methods to measure RNA structure inside cells and its utility for predicting transcriptome-wide interactions that are critical for control of and regulation by RNA structure. We envision such approaches can be applied to studying different cell types or cells under varying conditions, using RNA structure and footprinting to characterize cellular interactions and processing involving RNA.
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Affiliation(s)
- Dalen Chan
- Department of Pharmaceutical Sciences, University of California, Irvine. Irvine, CA 92697, USA
| | - Chao Feng
- Department of Pharmaceutical Sciences, University of California, Irvine. Irvine, CA 92697, USA
| | - Whitney E England
- Department of Pharmaceutical Sciences, University of California, Irvine. Irvine, CA 92697, USA
| | - Dana Wyman
- Department of Developmental and Cellular Biology, University of California, Irvine. Irvine, CA 92697, USA
| | - Ryan A Flynn
- Stem Cell Program, Boston Children’s Hospital, Boston, MA, USA and Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Xiuye Wang
- Department Microbiology and Molecular Genetics, University of California, Irvine. Irvine, CA 92697, USA
| | - Yongsheng Shi
- Department Microbiology and Molecular Genetics, University of California, Irvine. Irvine, CA 92697, USA
| | - Ali Mortazavi
- Department of Developmental and Cellular Biology, University of California, Irvine. Irvine, CA 92697, USA
| | - Robert C Spitale
- Department of Pharmaceutical Sciences, University of California, Irvine. Irvine, CA 92697, USA
- Department of Chemistry, University of California, Irvine. Irvine, CA 92697, USA
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Mohanta TK, Mishra AK, Al-Harrasi A. The 3D Genome: From Structure to Function. Int J Mol Sci 2021; 22:11585. [PMID: 34769016 PMCID: PMC8584255 DOI: 10.3390/ijms222111585] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 01/09/2023] Open
Abstract
The genome is the most functional part of a cell, and genomic contents are organized in a compact three-dimensional (3D) structure. The genome contains millions of nucleotide bases organized in its proper frame. Rapid development in genome sequencing and advanced microscopy techniques have enabled us to understand the 3D spatial organization of the genome. Chromosome capture methods using a ligation approach and the visualization tool of a 3D genome browser have facilitated detailed exploration of the genome. Topologically associated domains (TADs), lamin-associated domains, CCCTC-binding factor domains, cohesin, and chromatin structures are the prominent identified components that encode the 3D structure of the genome. Although TADs are the major contributors to 3D genome organization, they are absent in Arabidopsis. However, a few research groups have reported the presence of TAD-like structures in the plant kingdom.
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Affiliation(s)
- Tapan Kumar Mohanta
- Natural and Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman
| | - Awdhesh Kumar Mishra
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Gyeongsangbuk-do, Korea; or
| | - Ahmed Al-Harrasi
- Natural and Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman
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10
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Nameki R, Chang H, Reddy J, Corona RI, Lawrenson K. Transcription factors in epithelial ovarian cancer: histotype-specific drivers and novel therapeutic targets. Pharmacol Ther 2020; 220:107722. [PMID: 33137377 DOI: 10.1016/j.pharmthera.2020.107722] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 10/26/2020] [Indexed: 02/06/2023]
Abstract
Transcription factors (TFs) are major contributors to cancer risk and somatic development. In preclinical and clinical studies, direct or indirect inhibition of TF-mediated oncogenic gene expression profiles have proven to be effective in many tumor types, highlighting this group of proteins as valuable therapeutic targets. In spite of this, our understanding of TFs in epithelial ovarian cancer (EOC) is relatively limited. EOC is a heterogeneous disease composed of five major histologic subtypes; high-grade serous, low-grade serous, endometrioid, clear cell and mucinous. Each histology is associated with unique clinical etiologies, sensitivity to therapies, and molecular signatures - including diverse transcriptional regulatory programs. While some TFs are shared across EOC subtypes, a set of TFs are expressed in a histotype-specific manner and likely explain part of the histologic diversity of EOC subtypes. Targeting TFs present with unique opportunities for development of novel precision medicine strategies for ovarian cancer. This article reviews the critical TFs in EOC subtypes and highlights the potential of exploiting TFs as biomarkers and therapeutic targets.
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Affiliation(s)
- Robbin Nameki
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Heidi Chang
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jessica Reddy
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Rosario I Corona
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kate Lawrenson
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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11
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Strategic vision for improving human health at The Forefront of Genomics. Nature 2020; 586:683-692. [PMID: 33116284 DOI: 10.1038/s41586-020-2817-4] [Citation(s) in RCA: 162] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/04/2020] [Indexed: 12/20/2022]
Abstract
Starting with the launch of the Human Genome Project three decades ago, and continuing after its completion in 2003, genomics has progressively come to have a central and catalytic role in basic and translational research. In addition, studies increasingly demonstrate how genomic information can be effectively used in clinical care. In the future, the anticipated advances in technology development, biological insights, and clinical applications (among others) will lead to more widespread integration of genomics into almost all areas of biomedical research, the adoption of genomics into mainstream medical and public-health practices, and an increasing relevance of genomics for everyday life. On behalf of the research community, the National Human Genome Research Institute recently completed a multi-year process of strategic engagement to identify future research priorities and opportunities in human genomics, with an emphasis on health applications. Here we describe the highest-priority elements envisioned for the cutting-edge of human genomics going forward-that is, at 'The Forefront of Genomics'.
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12
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Ouyang W, Cao Z, Xiong D, Li G, Li X. Decoding the plant genome: From epigenome to 3D organization. J Genet Genomics 2020; 47:425-435. [PMID: 33023833 DOI: 10.1016/j.jgg.2020.06.007] [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: 12/27/2019] [Revised: 05/25/2020] [Accepted: 06/01/2020] [Indexed: 12/25/2022]
Abstract
The linear genome of eukaryotes is partitioned into diverse chromatin states and packaged into a three-dimensional (3D) structure, which has functional implications in DNA replication, DNA repair, and transcriptional regulation. Over the past decades, research on plant functional genomics and epigenomics has made great progress, with thousands of genes cloned and molecular mechanisms of diverse biological processes elucidated. Recently, 3D genome research has gradually attracted great attention of many plant researchers. Herein, we briefly review the progress in genomic and epigenomic research in plants, with a focus on Arabidopsis and rice, and summarize the currently used technologies and advances in plant 3D genome organization studies. We also discuss the relationships between one-dimensional linear genome sequences, epigenomic states, and the 3D chromatin architecture. This review provides basis for future research on plant 3D genomics.
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Affiliation(s)
- Weizhi Ouyang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhilin Cao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China; Department of Resources and Environment, Henan University of Engineering, Zhengzhou, 451191, China
| | - Dan Xiong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guoliang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Xingwang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
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13
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Yan F, Powell DR, Curtis DJ, Wong NC. From reads to insight: a hitchhiker's guide to ATAC-seq data analysis. Genome Biol 2020; 21:22. [PMID: 32014034 PMCID: PMC6996192 DOI: 10.1186/s13059-020-1929-3] [Citation(s) in RCA: 194] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 01/08/2020] [Indexed: 12/16/2022] Open
Abstract
Assay of Transposase Accessible Chromatin sequencing (ATAC-seq) is widely used in studying chromatin biology, but a comprehensive review of the analysis tools has not been completed yet. Here, we discuss the major steps in ATAC-seq data analysis, including pre-analysis (quality check and alignment), core analysis (peak calling), and advanced analysis (peak differential analysis and annotation, motif enrichment, footprinting, and nucleosome position analysis). We also review the reconstruction of transcriptional regulatory networks with multiomics data and highlight the current challenges of each step. Finally, we describe the potential of single-cell ATAC-seq and highlight the necessity of developing ATAC-seq specific analysis tools to obtain biologically meaningful insights.
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Affiliation(s)
- Feng Yan
- Australian Centre for Blood Diseases, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - David R Powell
- Monash Bioinformatics Platform, Monash University, Melbourne, VIC, Australia
| | - David J Curtis
- Australian Centre for Blood Diseases, Central Clinical School, Monash University, Melbourne, VIC, Australia.,Department of Clinical Haematology, Alfred Health, Melbourne, VIC, Australia
| | - Nicholas C Wong
- Australian Centre for Blood Diseases, Central Clinical School, Monash University, Melbourne, VIC, Australia. .,Monash Bioinformatics Platform, Monash University, Melbourne, VIC, Australia.
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14
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Zhao W, Wang Y, Liang FS. Chemical and Light Inducible Epigenome Editing. Int J Mol Sci 2020; 21:ijms21030998. [PMID: 32028669 PMCID: PMC7037166 DOI: 10.3390/ijms21030998] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Revised: 01/30/2020] [Accepted: 01/30/2020] [Indexed: 12/22/2022] Open
Abstract
The epigenome defines the unique gene expression patterns and resulting cellular behaviors in different cell types. Epigenome dysregulation has been directly linked to various human diseases. Epigenome editing enabling genome locus-specific targeting of epigenome modifiers to directly alter specific local epigenome modifications offers a revolutionary tool for mechanistic studies in epigenome regulation as well as the development of novel epigenome therapies. Inducible and reversible epigenome editing provides unique temporal control critical for understanding the dynamics and kinetics of epigenome regulation. This review summarizes the progress in the development of spatiotemporal-specific tools using small molecules or light as inducers to achieve the conditional control of epigenome editing and their applications in epigenetic research.
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15
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George P, Kinney NA, Liang J, Onufriev AV, Sharakhov IV. Three-dimensional Organization of Polytene Chromosomes in Somatic and Germline Tissues of Malaria Mosquitoes. Cells 2020; 9:cells9020339. [PMID: 32024176 PMCID: PMC7072178 DOI: 10.3390/cells9020339] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/22/2020] [Accepted: 01/28/2020] [Indexed: 12/17/2022] Open
Abstract
Spatial organization of chromosome territories and interactions between interphase chromosomes themselves, as well as with the nuclear periphery, play important roles in epigenetic regulation of the genome function. However, the interplay between inter-chromosomal contacts and chromosome-nuclear envelope attachments in an organism’s development is not well-understood. To address this question, we conducted microscopic analyses of the three-dimensional chromosome organization in malaria mosquitoes. We employed multi-colored oligonucleotide painting probes, spaced 1 Mb apart along the euchromatin, to quantitatively study chromosome territories in larval salivary gland cells and adult ovarian nurse cells of Anopheles gambiae, An. coluzzii, and An. merus. We found that the X chromosome territory has a significantly smaller volume and is more compact than the autosomal arm territories. The number of inter-chromosomal, and the percentage of the chromosome–nuclear envelope, contacts were conserved among the species within the same cell type. However, the percentage of chromosome regions located at the nuclear periphery was typically higher, while the number of inter-chromosomal contacts was lower, in salivary gland cells than in ovarian nurse cells. The inverse correlation was considerably stronger for the autosomes. Consistent with previous theoretical arguments, our data indicate that, at the genome-wide level, there is an inverse relationship between chromosome-nuclear envelope attachments and chromosome–chromosome interactions, which is a key feature of the cell type-specific nuclear architecture.
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Affiliation(s)
- Phillip George
- Department of Entomology, Virginia Tech, Blacksburg, VA 24061, USA; (P.G.); (J.L.)
| | - Nicholas A. Kinney
- Genomics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA; (N.A.K.); (A.V.O.)
| | - Jiangtao Liang
- Department of Entomology, Virginia Tech, Blacksburg, VA 24061, USA; (P.G.); (J.L.)
| | - Alexey V. Onufriev
- Genomics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA; (N.A.K.); (A.V.O.)
- Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA
| | - Igor V. Sharakhov
- Department of Entomology, Virginia Tech, Blacksburg, VA 24061, USA; (P.G.); (J.L.)
- Genomics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA; (N.A.K.); (A.V.O.)
- Department of Cytology and Genetics, Tomsk State University, 634050 Tomsk, Russian Federation
- Correspondence: ; Tel.: +1-540-231-7316
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16
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Claussnitzer M, Cho JH, Collins R, Cox NJ, Dermitzakis ET, Hurles ME, Kathiresan S, Kenny EE, Lindgren CM, MacArthur DG, North KN, Plon SE, Rehm HL, Risch N, Rotimi CN, Shendure J, Soranzo N, McCarthy MI. A brief history of human disease genetics. Nature 2020; 577:179-189. [PMID: 31915397 PMCID: PMC7405896 DOI: 10.1038/s41586-019-1879-7] [Citation(s) in RCA: 331] [Impact Index Per Article: 82.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 11/13/2019] [Indexed: 12/16/2022]
Abstract
A primary goal of human genetics is to identify DNA sequence variants that influence biomedical traits, particularly those related to the onset and progression of human disease. Over the past 25 years, progress in realizing this objective has been transformed by advances in technology, foundational genomic resources and analytical tools, and by access to vast amounts of genotype and phenotype data. Genetic discoveries have substantially improved our understanding of the mechanisms responsible for many rare and common diseases and driven development of novel preventative and therapeutic strategies. Medical innovation will increasingly focus on delivering care tailored to individual patterns of genetic predisposition.
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Affiliation(s)
- Melina Claussnitzer
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard Cambridge, Cambridge, MA, USA
- Institute of Nutritional Science, University of Hohenheim, Stuttgart, Germany
| | - Judy H Cho
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rory Collins
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Nancy J Cox
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Emmanouil T Dermitzakis
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
- Health 2030 Genome Center, Geneva, Switzerland
| | | | - Sekar Kathiresan
- Broad Institute of MIT and Harvard Cambridge, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Verve Therapeutics, Cambridge, MA, USA
| | - Eimear E Kenny
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Cecilia M Lindgren
- Broad Institute of MIT and Harvard Cambridge, Cambridge, MA, USA
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Daniel G MacArthur
- Broad Institute of MIT and Harvard Cambridge, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Kathryn N North
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
- University of Melbourne, Parkville, Victoria, Australia
| | - Sharon E Plon
- Departments of Pediatrics and Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Cancer Center, Texas Children's Hospital, Houston, TX, USA
| | - Heidi L Rehm
- Broad Institute of MIT and Harvard Cambridge, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Neil Risch
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Magnuson Health Sciences Building, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | - Nicole Soranzo
- Wellcome Sanger Institute, Hinxton, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford, UK.
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK.
- Human Genetics, Genentech, South San Francisco, CA, USA.
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17
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Wang TY, Wang YF, Zhang Y, Shen JJ, Guo M, Yang J, Lau YL, Yang W. Identification of Regulatory Modules That Stratify Lupus Disease Mechanism through Integrating Multi-Omics Data. MOLECULAR THERAPY. NUCLEIC ACIDS 2019; 19:318-329. [PMID: 31877408 PMCID: PMC6938958 DOI: 10.1016/j.omtn.2019.11.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 11/10/2019] [Accepted: 11/11/2019] [Indexed: 11/05/2022]
Abstract
Although recent advances in genetic studies have shed light on systemic lupus erythematosus (SLE), its detailed mechanisms remain elusive. In this study, using datasets on SLE transcriptomic profiles, we identified 750 differentially expressed genes (DEGs) in T and B lymphocytes and peripheral blood cells. Using transcription factor (TF) binding data derived from chromatin immunoprecipitation sequencing (ChIP-seq) experiments from the Encyclopedia of DNA Elements (ENCODE) project, we inferred networks of co-regulated genes (NcRGs) based on binding profiles of the upregulated DEGs by significantly enriched TFs. Modularization analysis of NcRGs identified co-regulatory modules among the DEGs and master TFs vital for each module. Remarkably, the co-regulatory modules stratified the common SLE interferon (IFN) signature and revealed SLE pathogenesis pathways, including the complement cascade, cell cycle regulation, NETosis, and epigenetic regulation. By integrative analyses of disease-associated genes (DAGs), DEGs, and enriched TFs, as well as proteins interacting with them, we identified a hierarchical regulatory cascade with TFs regulated by DAGs, which in turn regulates gene expression. Integrative analysis of multi-omics data provided valuable molecular insights into the molecular mechanisms of SLE.
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Affiliation(s)
- Ting-You Wang
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Yong-Fei Wang
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Yan Zhang
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Jiangshan Jane Shen
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong; Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, China; Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, China
| | - Mengbiao Guo
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Jing Yang
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Yu Lung Lau
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
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18
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Abstract
Aging is associated with a progressive decline in cardiovascular structure and function. Accumulating evidence links cardiovascular aging to epigenetic alterations encompassing a complex interplay of DNA methylation, histone posttranslational modifications, and dynamic nucleosome occupancy governed by numerous epigenetic factors. Advances in genomics technology have led to a profound understanding of chromatin reorganization in both cardiovascular aging and diseases. This review summarizes recent discoveries in epigenetic mechanisms involved in cardiovascular aging and diseases and discusses potential therapeutic strategies to retard cardiovascular aging and conquer related diseases through the rejuvenation of epigenetic signatures to a young state.
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Affiliation(s)
- Weiqi Zhang
- From the Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China (W.Z., G.-H.L.).,National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics (W.Z., G.-H.L.), Chinese Academy of Sciences, Beijing.,Institute of Stem Cell and Regeneration (W.Z., M.S., J.Q., G.-H.L.), Chinese Academy of Sciences, Beijing.,University of Chinese Academy of Sciences, Beijing (W.Z., M.S., J.Q., G.-H.L.)
| | - Moshi Song
- State Key Laboratory of Membrane Biology, Institute of Zoology (M.S.), Chinese Academy of Sciences, Beijing.,Institute of Stem Cell and Regeneration (W.Z., M.S., J.Q., G.-H.L.), Chinese Academy of Sciences, Beijing.,University of Chinese Academy of Sciences, Beijing (W.Z., M.S., J.Q., G.-H.L.)
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology (J.Q.), Chinese Academy of Sciences, Beijing.,Institute of Stem Cell and Regeneration (W.Z., M.S., J.Q., G.-H.L.), Chinese Academy of Sciences, Beijing.,University of Chinese Academy of Sciences, Beijing (W.Z., M.S., J.Q., G.-H.L.)
| | - Guang-Hui Liu
- From the Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China (W.Z., G.-H.L.).,National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics (W.Z., G.-H.L.), Chinese Academy of Sciences, Beijing.,Institute of Stem Cell and Regeneration (W.Z., M.S., J.Q., G.-H.L.), Chinese Academy of Sciences, Beijing.,University of Chinese Academy of Sciences, Beijing (W.Z., M.S., J.Q., G.-H.L.)
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19
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A mass spectrometry-based assay using metabolic labeling to rapidly monitor chromatin accessibility of modified histone proteins. Sci Rep 2019; 9:13613. [PMID: 31541121 PMCID: PMC6754405 DOI: 10.1038/s41598-019-49894-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 08/24/2019] [Indexed: 12/22/2022] Open
Abstract
Histone post-translational modifications (PTMs) contribute to chromatin accessibility due to their chemical properties and their ability to recruit enzymes responsible for DNA readout and chromatin remodeling. To date, more than 400 different histone PTMs and thousands of combinations of PTMs have been identified, the vast majority with still unknown biological function. Identification and quantification of histone PTMs has become routine in mass spectrometry (MS) but, since raising antibodies for each PTM in a study can be prohibitive, lots of potential is lost from MS datasets when uncharacterized PTMs are found to be significantly regulated. We developed an assay that uses metabolic labeling and MS to associate chromatin accessibility with histone PTMs and their combinations. The labeling is achieved by spiking in the cell media a 5x concentration of stable isotope labeled arginine and allow cells to grow for at least one cell cycle. We quantified the labeling incorporation of about 200 histone peptides with a proteomics workflow, and we confirmed that peptides carrying PTMs with extensively characterized roles in active transcription or gene silencing were in highly or poorly labeled forms, respectively. Data were further validated using next-generation sequencing to assess the transcription rate of chromatin regions modified with five selected PTMs. Furthermore, we quantified the labeling rate of peptides carrying co-existing PTMs, proving that this method is suitable for combinatorial PTMs. We focus on the abundant bivalent mark H3K27me3K36me2, showing that H3K27me3 dominantly represses histone swapping rate even in the presence of the more permissive PTM H3K36me2. Together, we envision this method will help to generate hypotheses regarding histone PTM functions and, potentially, elucidate the role of combinatorial histone codes.
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20
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Went M, Kinnersley B, Sud A, Johnson DC, Weinhold N, Försti A, van Duin M, Orlando G, Mitchell JS, Kuiper R, Walker BA, Gregory WM, Hoffmann P, Jackson GH, Nöthen MM, da Silva Filho MI, Thomsen H, Broyl A, Davies FE, Thorsteinsdottir U, Hansson M, Kaiser M, Sonneveld P, Goldschmidt H, Stefansson K, Hemminki K, Nilsson B, Morgan GJ, Houlston RS. Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes. Hum Genomics 2019; 13:37. [PMID: 31429796 PMCID: PMC6700979 DOI: 10.1186/s40246-019-0231-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 08/12/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND While genome-wide association studies (GWAS) of multiple myeloma (MM) have identified variants at 23 regions influencing risk, the genes underlying these associations are largely unknown. To identify candidate causal genes at these regions and search for novel risk regions, we performed a multi-tissue transcriptome-wide association study (TWAS). RESULTS GWAS data on 7319 MM cases and 234,385 controls was integrated with Genotype-Tissue Expression Project (GTEx) data assayed in 48 tissues (sample sizes, N = 80-491), including lymphocyte cell lines and whole blood, to predict gene expression. We identified 108 genes at 13 independent regions associated with MM risk, all of which were in 1 Mb of known MM GWAS risk variants. Of these, 94 genes, located in eight regions, had not previously been considered as a candidate gene for that locus. CONCLUSIONS Our findings highlight the value of leveraging expression data from multiple tissues to identify candidate genes responsible for GWAS associations which provide insight into MM tumorigenesis. Among the genes identified, a number have plausible roles in MM biology, notably APOBEC3C, APOBEC3H, APOBEC3D, APOBEC3F, APOBEC3G, or have been previously implicated in other malignancies. The genes identified in this TWAS can be explored for follow-up and validation to further understand their role in MM biology.
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Affiliation(s)
- Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK.
- Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK.
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - David C Johnson
- Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
| | - Asta Försti
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Mark van Duin
- Department of Hematology, Erasmus MC Cancer Institute, 3075, EA, Rotterdam, The Netherlands
| | - Giulia Orlando
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Jonathan S Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Rowan Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, 3075, EA, Rotterdam, The Netherlands
| | - Brian A Walker
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Walter M Gregory
- Clinical Trials Research Unit, University of Leeds, Leeds, LS2 9PH, UK
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, 4003, Basel, Switzerland
| | | | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, D-53127, Bonn, Germany
| | | | - Hauke Thomsen
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Annemiek Broyl
- Department of Hematology, Erasmus MC Cancer Institute, 3075, EA, Rotterdam, The Netherlands
| | - Faith E Davies
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | | | - Markus Hansson
- Hematology Clinic, Skåne University Hospital, SE-221 85, Lund, Sweden
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84, Lund, Sweden
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
| | - Pieter Sonneveld
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
| | | | - Kari Hemminki
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84, Lund, Sweden
- Broad Institute, 7 Cambridge Center, Cambridge, MA, 02142, USA
| | - Gareth J Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK
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21
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Guo DG, Wang DB, Liu C, Lu S, Hou Y, Zhang XE. CRISPR-based genomic loci labeling revealed ordered spatial organization of chromatin in living diploid human cells. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2019; 1866:118518. [PMID: 31376419 DOI: 10.1016/j.bbamcr.2019.07.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 07/05/2019] [Accepted: 07/23/2019] [Indexed: 02/07/2023]
Abstract
The eukaryotic genome is compacted in the form of chromatin within the nucleus. Whether the spatial distribution of the genome is ordered or not has been a longstanding question. Answering this question would enable us to understand nuclear organization and cellular processes more deeply. Here, we applied a modified CRISPR/dCas9 system to label the randomly selected genomic loci in diploid living cells, which were visualized by high-resolution wide-field imaging. To analyze the spatial positions of three pairs of genomic loci, three sets of parameters were progressively measured: i) the linear distance between alleles; ii) the radial distribution of the genomic loci; and iii) the linear distances between three pairs of genomic loci on nonhomologous chromosomes. By accurate labeling, geometric measuring and statistical analysis, we demonstrated that the distribution of these genomic loci in the 3D space of the nucleus is relatively stable in both late G1 and early S phases. Collectively, our data provided visual evidence in live cells, which implies the orderly spatial organization of chromatin in the nucleus. The combination of orderliness and flexibility ensures the methodical and efficient operation of complex life systems. How the nucleus adopts this ordered 3D structure in living cells is thought-provoking.
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Affiliation(s)
- Dong-Ge Guo
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 4300071, China; National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dian-Bing Wang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Chong Liu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Song Lu
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yu Hou
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xian-En Zhang
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 4300071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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22
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Abstract
Physical access to DNA is a highly dynamic property of chromatin that plays an essential role in establishing and maintaining cellular identity. The organization of accessible chromatin across the genome reflects a network of permissible physical interactions through which enhancers, promoters, insulators and chromatin-binding factors cooperatively regulate gene expression. This landscape of accessibility changes dynamically in response to both external stimuli and developmental cues, and emerging evidence suggests that homeostatic maintenance of accessibility is itself dynamically regulated through a competitive interplay between chromatin-binding factors and nucleosomes. In this Review, we examine how the accessible genome is measured and explore the role of transcription factors in initiating accessibility remodelling; our goal is to illustrate how chromatin accessibility defines regulatory elements within the genome and how these epigenetic features are dynamically established to control gene expression.
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Affiliation(s)
- Sandy L Klemm
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Zohar Shipony
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University, Stanford, CA, USA. .,Department of Applied Physics, Stanford University, Stanford, CA, USA. .,Chan Zuckerberg BioHub, San Francisco, CA, USA.
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23
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Li Y, Wu A, Liu G, Liu L. A Review of Methods to Quantify the Genomic Similarity of Topological Associating Domains. J Comput Biol 2019; 26:1326-1338. [PMID: 31260328 DOI: 10.1089/cmb.2019.0129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Topologically associating domains (TADs) are the most fundamental elements and significant structures of the eukaryotic genome. Currently, algorithms have been developed to find the TADs. But few algorithms are reported to compare the similarity of TADs between genomes. In this study, mice Hi-C sequencing data of four contrasts were enrolled. Seventeen algorithms, including BPscore, Jaccard index (JI) distance, VI distance, image hash, image subtraction, image variance, and so on, were used to quantify the genomic similarity of TADs. Image subtraction, Euclidean distance, and Manhattan distance were significantly better for TAD difference detection than the others. Deferent Hash (dHash) with the best zoom size ranked the second, followed by improved Hamming distance algorithm and JI distance. Advantages and disadvantages of various algorithms for quantifying the similarity of TADs were compared. Our work could provide the fundament for TADs comparison.
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Affiliation(s)
- Yufang Li
- Institutes of Biomedical Sciences, Fudan University, Shanghai, P.R. China
| | - Aoshen Wu
- Institutes of Biomedical Sciences, Fudan University, Shanghai, P.R. China
| | - Gang Liu
- Institutes of Biomedical Sciences, Fudan University, Shanghai, P.R. China
| | - Lei Liu
- Institutes of Biomedical Sciences, Fudan University, Shanghai, P.R. China
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24
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Lequieu J, Córdoba A, Moller J, de Pablo JJ. 1CPN: A coarse-grained multi-scale model of chromatin. J Chem Phys 2019; 150:215102. [PMID: 31176328 DOI: 10.1063/1.5092976] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
A central question in epigenetics is how histone modifications influence the 3D structure of eukaryotic genomes and, ultimately, how this 3D structure is manifested in gene expression. The wide range of length scales that influence the 3D genome structure presents important challenges; epigenetic modifications to histones occur on scales of angstroms, yet the resulting effects of these modifications on genome structure can span micrometers. There is a scarcity of computational tools capable of providing a mechanistic picture of how molecular information from individual histones is propagated up to large regions of the genome. In this work, a new molecular model of chromatin is presented that provides such a picture. This new model, referred to as 1CPN, is structured around a rigorous multiscale approach, whereby free energies from an established and extensively validated model of the nucleosome are mapped onto a reduced coarse-grained topology. As such, 1CPN incorporates detailed physics from the nucleosome, such as histone modifications and DNA sequence, while maintaining the computational efficiency that is required to permit kilobase-scale simulations of genomic DNA. The 1CPN model reproduces the free energies and dynamics of both single nucleosomes and short chromatin fibers, and it is shown to be compatible with recently developed models of the linker histone. It is applied here to examine the effects of the linker DNA on the free energies of chromatin assembly and to demonstrate that these free energies are strongly dependent on the linker DNA length, pitch, and even DNA sequence. The 1CPN model is implemented in the LAMMPS simulation package and is distributed freely for public use.
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Affiliation(s)
- Joshua Lequieu
- Institute for Molecular Engineering, University of Chicago, Chicago, Illinois 60637, USA
| | - Andrés Córdoba
- Institute for Molecular Engineering, University of Chicago, Chicago, Illinois 60637, USA
| | - Joshua Moller
- Institute for Molecular Engineering, University of Chicago, Chicago, Illinois 60637, USA
| | - Juan J de Pablo
- Institute for Molecular Engineering, University of Chicago, Chicago, Illinois 60637, USA
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25
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Krumm A, Duan Z. Understanding the 3D genome: Emerging impacts on human disease. Semin Cell Dev Biol 2019; 90:62-77. [PMID: 29990539 PMCID: PMC6329682 DOI: 10.1016/j.semcdb.2018.07.004] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 07/03/2018] [Indexed: 12/13/2022]
Abstract
Recent burst of new technologies that allow for quantitatively delineating chromatin structure has greatly expanded our understanding of how the genome is organized in the three-dimensional (3D) space of the nucleus. It is now clear that the hierarchical organization of the eukaryotic genome critically impacts nuclear activities such as transcription, replication, as well as cellular and developmental events such as cell cycle, cell fate decision and embryonic development. In this review, we discuss new insights into how the structural features of the 3D genome hierarchy are established and maintained, how this hierarchy undergoes dynamic rearrangement during normal development and how its perturbation will lead to human disease, highlighting the accumulating evidence that links the diverse 3D genome architecture components to a multitude of human diseases and the emerging mechanisms by which 3D genome derangement causes disease phenotypes.
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Affiliation(s)
- Anton Krumm
- Department of Microbiology, University of Washington, USA.
| | - Zhijun Duan
- Institute for Stem Cell and Regenerative Medicine, University of Washington, USA; Division of Hematology, Department of Medicine, University of Washington, USA.
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26
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Hiratani I, Takahashi S. DNA Replication Timing Enters the Single-Cell Era. Genes (Basel) 2019; 10:genes10030221. [PMID: 30884743 PMCID: PMC6470765 DOI: 10.3390/genes10030221] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 03/12/2019] [Accepted: 03/12/2019] [Indexed: 12/20/2022] Open
Abstract
In mammalian cells, DNA replication timing is controlled at the level of megabase (Mb)-sized chromosomal domains and correlates well with transcription, chromatin structure, and three-dimensional (3D) genome organization. Because of these properties, DNA replication timing is an excellent entry point to explore genome regulation at various levels and a variety of studies have been carried out over the years. However, DNA replication timing studies traditionally required at least tens of thousands of cells, and it was unclear whether the replication domains detected by cell population analyses were preserved at the single-cell level. Recently, single-cell DNA replication profiling methods became available, which revealed that the Mb-sized replication domains detected by cell population analyses were actually well preserved in individual cells. In this article, we provide a brief overview of our current knowledge on DNA replication timing regulation in mammals based on cell population studies, outline the findings from single-cell DNA replication profiling, and discuss future directions and challenges.
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Affiliation(s)
- Ichiro Hiratani
- Laboratory for Developmental Epigenetics, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Hyogo 650-0047, Japan.
| | - Saori Takahashi
- Laboratory for Developmental Epigenetics, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Hyogo 650-0047, Japan.
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27
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Ma H, Tu LC, Chung YC, Naseri A, Grunwald D, Zhang S, Pederson T. Cell cycle- and genomic distance-dependent dynamics of a discrete chromosomal region. J Cell Biol 2019; 218:1467-1477. [PMID: 30846483 PMCID: PMC6504907 DOI: 10.1083/jcb.201807162] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 11/08/2018] [Accepted: 02/08/2019] [Indexed: 02/08/2023] Open
Abstract
In contrast to the well-studied condensation and folding of chromosomes during mitosis, their dynamics during interphase are less understood. We deployed a CRISPR-based DNA imaging system to track the dynamics of genomic loci situated kilobases to megabases apart on a single chromosome. Two distinct modes of dynamics were resolved: local movements as well as ones that might reflect translational movements of the entire domain within the nucleoplasmic space. The magnitude of both of these modes of movements increased from early to late G1, whereas the translational movements were reduced in early S phase. The local fluctuations decreased slightly in early S and more markedly in mid-late S. These newly observed movements and their cell cycle dependence suggest the existence of a hitherto unrecognized compaction-relaxation dynamic of the interphase chromosome fiber, operating concurrently with changes in the extent of overall movements of loci in the 4D genome.
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Affiliation(s)
- Hanhui Ma
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA
| | - Li-Chun Tu
- RNA Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA
| | - Yu-Chieh Chung
- Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo, Kashiwa, Japan
| | - Ardalan Naseri
- Department of Computer Science, University of Central Florida, Orlando, FL
| | - David Grunwald
- RNA Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA
| | - Shaojie Zhang
- Department of Computer Science, University of Central Florida, Orlando, FL
| | - Thoru Pederson
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA
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28
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Saito S, Lin YC, Nakamura Y, Eckner R, Wuputra K, Kuo KK, Lin CS, Yokoyama KK. Potential application of cell reprogramming techniques for cancer research. Cell Mol Life Sci 2019; 76:45-65. [PMID: 30283976 PMCID: PMC6326983 DOI: 10.1007/s00018-018-2924-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 09/15/2018] [Accepted: 09/19/2018] [Indexed: 02/07/2023]
Abstract
The ability to control the transition from an undifferentiated stem cell to a specific cell fate is one of the key techniques that are required for the application of interventional technologies to regenerative medicine and the treatment of tumors and metastases and of neurodegenerative diseases. Reprogramming technologies, which include somatic cell nuclear transfer, induced pluripotent stem cells, and the direct reprogramming of specific cell lineages, have the potential to alter cell plasticity in translational medicine for cancer treatment. The characterization of cancer stem cells (CSCs), the identification of oncogene and tumor suppressor genes for CSCs, and the epigenetic study of CSCs and their microenvironments are important topics. This review summarizes the application of cell reprogramming technologies to cancer modeling and treatment and discusses possible obstacles, such as genetic and epigenetic alterations in cancer cells, as well as the strategies that can be used to overcome these obstacles to cancer research.
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Affiliation(s)
- Shigeo Saito
- Saito Laboratory of Cell Technology, Yaita, Tochigi, 329-1571, Japan
- College of Engineering, Nihon University, Koriyama, Fukushima, 963-8642, Japan
| | - Ying-Chu Lin
- School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Yukio Nakamura
- Cell Engineering Division, RIKEN BioResource Center, Tsukuba, Ibaraki, 305-0074, Japan
| | - Richard Eckner
- Department of Biochemistry and Molecular Biology, Rutgers, New Jersey Medical School-Rutgers, The State University of New Jersey, Newark, NJ, 07101, USA
| | - Kenly Wuputra
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Kung-Kai Kuo
- Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, 807, Taiwan
| | - Chang-Shen Lin
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
- Department of Biological Sciences, National Sun Yat-sen University, Kaohsiung, 804, Taiwan.
| | - Kazunari K Yokoyama
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
- Faculty of Molecular Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
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29
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Abstract
A critical hallmark of aging is cellular senescence, a state of growth arrest and inflammatory cytokine release in cells, caused by a variety of stresses. Recent work has convincingly linked the accumulation of senescent cells in aged tissues to a decline in health and a limit of lifespan, primarily through "inflammaging". Importantly, interventions that clear senescent cells have achieved marked improvements in healthspan and lifespan in mice. A growing list of studies show that environmental stimuli can affect aging and longevity through conserved pathways which, in turn, modulate chromatin states. This review consolidates key findings of chromatin state changes in senescence including histone modifications, histone variants, DNA methylation and changes in three-dimensional genome organization. This information will facilitate the identification of mechanisms and discovery of potential epigenetic targets for therapeutic interventions in aging and age-related disease.
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Affiliation(s)
- Na Yang
- National Institute on Aging, NIH, Laboratory of Genetics and Genomics, Functional Epigenomics Unit, Baltimore, MD 21224, USA
| | - Payel Sen
- Epigenetics Institute and Department of Cell and Developmental Biology, University of Pennsylvania, Smilow Center for Translational Research, Philadelphia, PA 19104, USA
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30
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Abstract
Genome-wide association studies (GWASs) have identified thousands of loci associated with hundreds of complex diseases and traits, and progress is being made toward elucidating the causal variants and genes underlying these associations. Functional characterization of mechanisms at GWAS loci is a multi-faceted challenge. Challenges include linkage disequilibrium and allelic heterogeneity at each locus, the noncoding nature of most loci, and the time and cost needed for experimentally evaluating the potential mechanistic contributions of genes and variants. As GWAS sample sizes increase, more loci are identified, and the complexities of individual loci emerge. Loci can consist of multiple association signals, each of which can reflect the influence of multiple variants, inseparable by association analyses. Each signal within a locus can influence the same or different target genes. Experimental studies of genes and variants can differ on the basis of cell type, cellular environment, or other context-specific variables. In this review, we describe the complexity of mechanisms at GWAS loci-including multiple signals, multiple variants, and/or multiple genes-and the implications these complexities hold for experimental study design and interpretation of GWAS mechanisms.
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Affiliation(s)
- Maren E Cannon
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA.
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31
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Went M, Sud A, Försti A, Halvarsson BM, Weinhold N, Kimber S, van Duin M, Thorleifsson G, Holroyd A, Johnson DC, Li N, Orlando G, Law PJ, Ali M, Chen B, Mitchell JS, Gudbjartsson DF, Kuiper R, Stephens OW, Bertsch U, Broderick P, Campo C, Bandapalli OR, Einsele H, Gregory WA, Gullberg U, Hillengass J, Hoffmann P, Jackson GH, Jöckel KH, Johnsson E, Kristinsson SY, Mellqvist UH, Nahi H, Easton D, Pharoah P, Dunning A, Peto J, Canzian F, Swerdlow A, Eeles RA, Kote-Jarai ZS, Muir K, Pashayan N, Nickel J, Nöthen MM, Rafnar T, Ross FM, da Silva Filho MI, Thomsen H, Turesson I, Vangsted A, Andersen NF, Waage A, Walker BA, Wihlborg AK, Broyl A, Davies FE, Thorsteinsdottir U, Langer C, Hansson M, Goldschmidt H, Kaiser M, Sonneveld P, Stefansson K, Morgan GJ, Hemminki K, Nilsson B, Houlston RS. Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. Nat Commun 2018; 9:3707. [PMID: 30213928 PMCID: PMC6137048 DOI: 10.1038/s41467-018-04989-w] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 06/06/2018] [Indexed: 02/08/2023] Open
Abstract
Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous GWAS and a replication series, totalling 9974 MM cases and 247,556 controls of European ancestry. Collectively, these data provide evidence for six new MM risk loci, bringing the total number to 23. Integration of information from gene expression, epigenetic profiling and in situ Hi-C data for the 23 risk loci implicate disruption of developmental transcriptional regulators as a basis of MM susceptibility, compatible with altered B-cell differentiation as a key mechanism. Dysregulation of autophagy/apoptosis and cell cycle signalling feature as recurrently perturbed pathways. Our findings provide further insight into the biological basis of MM.
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Affiliation(s)
- Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Asta Försti
- German Cancer Research Center, 69120, Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, SE-205 02, Malmo, Sweden
| | - Britt-Marie Halvarsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
| | - Scott Kimber
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Mark van Duin
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | | | - Amy Holroyd
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - David C Johnson
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Ni Li
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Giulia Orlando
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Mina Ali
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Bowang Chen
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Jonathan S Mitchell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Daniel F Gudbjartsson
- deCODE Genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, IS-101, Reykjavik, Iceland
| | - Rowan Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | - Owen W Stephens
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Uta Bertsch
- German Cancer Research Center, 69120, Heidelberg, Germany
- National Centre of Tumor Diseases, 69120, Heidelberg, Germany
| | - Peter Broderick
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Chiara Campo
- German Cancer Research Center, 69120, Heidelberg, Germany
| | | | | | - Walter A Gregory
- Clinical Trials Research Unit, University of Leeds, Leeds, LS2 9PH, UK
| | - Urban Gullberg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Jens Hillengass
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, 4003, Basel, Switzerland
| | | | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, D-45147, Germany
| | - Ellinor Johnsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Sigurður Y Kristinsson
- Department of Hematology, Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
| | - Ulf-Henrik Mellqvist
- Section of Hematology, Sahlgrenska University Hospital, Gothenburg, 413 45, Sweden
| | - Hareth Nahi
- Center for Hematology and Regenerative Medicine, SE-171 77, Stockholm, Sweden
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Alison Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Rosalind A Eeles
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
- Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK
| | - ZSofia Kote-Jarai
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Kenneth Muir
- Institute of Population Health, University of Manchester, Manchester, M13 9PL, UK
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Nora Pashayan
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, CB1 8RN, UK
- Department of Applied Health Research, University College London, London, WC1E 7HB, UK
| | - Jolanta Nickel
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, D-53127, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, D-53127, Bonn, Germany
| | - Thorunn Rafnar
- deCODE Genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Fiona M Ross
- Wessex Regional Genetics Laboratory, University of Southampton, Salisbury, SP2 8BJ, UK
| | | | - Hauke Thomsen
- German Cancer Research Center, 69120, Heidelberg, Germany
| | - Ingemar Turesson
- Hematology Clinic, Skåne University Hospital, SE-221 85, Lund, Sweden
| | - Annette Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Niels Frost Andersen
- Department of Haematology, Aarhus University Hospital, Tage-Hansens Gade 2, DK-8000, Aarhus C, Denmark
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491, Trondheim, Norway
| | - Brian A Walker
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Anna-Karin Wihlborg
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
| | - Annemiek Broyl
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | - Faith E Davies
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Christian Langer
- Department of Internal Medicine III, University of Ulm, D-89081, Ulm, Germany
| | - Markus Hansson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden
- Hematology Clinic, Skåne University Hospital, SE-221 85, Lund, Sweden
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69117, Heidelberg, Germany
- National Centre of Tumor Diseases, 69120, Heidelberg, Germany
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | | | - Gareth J Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Kari Hemminki
- German Cancer Research Center, 69120, Heidelberg, Germany.
- Center for Primary Health Care Research, Lund University, SE-205 02, Malmo, Sweden.
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, Lund University, SE-221 84, Lund, Sweden.
- Broad Institute, 7 Cambridge Center, Cambridge, MA, 02142, USA.
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
- Division of Molecular Pathology, The Institute of Cancer Research, London, SW7 3RP, UK.
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32
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Fagnocchi L, Poli V, Zippo A. Enhancer reprogramming in tumor progression: a new route towards cancer cell plasticity. Cell Mol Life Sci 2018; 75:2537-2555. [PMID: 29691590 PMCID: PMC11105402 DOI: 10.1007/s00018-018-2820-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 04/11/2018] [Accepted: 04/17/2018] [Indexed: 12/13/2022]
Abstract
Cancer heterogeneity arises during tumor progression as a consequence of genetic insults, environmental cues, and reversible changes in the epigenetic state, favoring tumor cell plasticity. The role of enhancer reprogramming is emerging as a relevant field in cancer biology as it supports adaptation of cancer cells to those environmental changes encountered during tumor progression and metastasis seeding. In this review, we describe the cancer-related alterations that drive oncogenic enhancer activity, leading to dysregulated transcriptional programs. We discuss the molecular mechanisms of both cis- and trans-factors in overriding the regulatory circuits that maintain cell-type specificity and imposing an alternative, de-regulated enhancer activity in cancer cells. We further comment on the increasing evidence which implicates stress response and aging-signaling pathways in the enhancer landscape reprogramming during tumorigenesis. Finally, we focus on the potential therapeutic implications of these enhancer-mediated subverted transcriptional programs, putting particular emphasis on the lack of information regarding tumor progression and the metastatic outgrowth, which still remain the major cause of mortality related to cancer.
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Affiliation(s)
- Luca Fagnocchi
- Laboratory of Chromatin Biology and Epigenetics, Center for Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy.
| | - Vittoria Poli
- Laboratory of Chromatin Biology and Epigenetics, Center for Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy
| | - Alessio Zippo
- Laboratory of Chromatin Biology and Epigenetics, Center for Integrative Biology (CIBIO), University of Trento, 38123, Trento, Italy.
- Department of Epigenetics, Fondazione Istituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi", Via F. Sforza 35, 20122, Milan, Italy.
- Division of Pathology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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Ma W, Ay F, Lee C, Gulsoy G, Deng X, Cook S, Hesson J, Cavanaugh C, Ware CB, Krumm A, Shendure J, Blau CA, Disteche CM, Noble WS, Duan Z. Using DNase Hi-C techniques to map global and local three-dimensional genome architecture at high resolution. Methods 2018; 142:59-73. [PMID: 29382556 PMCID: PMC5993575 DOI: 10.1016/j.ymeth.2018.01.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 12/14/2017] [Accepted: 01/25/2018] [Indexed: 01/09/2023] Open
Abstract
The folding and three-dimensional (3D) organization of chromatin in the nucleus critically impacts genome function. The past decade has witnessed rapid advances in genomic tools for delineating 3D genome architecture. Among them, chromosome conformation capture (3C)-based methods such as Hi-C are the most widely used techniques for mapping chromatin interactions. However, traditional Hi-C protocols rely on restriction enzymes (REs) to fragment chromatin and are therefore limited in resolution. We recently developed DNase Hi-C for mapping 3D genome organization, which uses DNase I for chromatin fragmentation. DNase Hi-C overcomes RE-related limitations associated with traditional Hi-C methods, leading to improved methodological resolution. Furthermore, combining this method with DNA capture technology provides a high-throughput approach (targeted DNase Hi-C) that allows for mapping fine-scale chromatin architecture at exceptionally high resolution. Hence, targeted DNase Hi-C will be valuable for delineating the physical landscapes of cis-regulatory networks that control gene expression and for characterizing phenotype-associated chromatin 3D signatures. Here, we provide a detailed description of method design and step-by-step working protocols for these two methods.
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Affiliation(s)
- Wenxiu Ma
- Department of Genome Sciences, University of Washington, USA
| | - Ferhat Ay
- Department of Genome Sciences, University of Washington, USA
| | - Choli Lee
- Department of Genome Sciences, University of Washington, USA
| | - Gunhan Gulsoy
- Department of Genome Sciences, University of Washington, USA
| | - Xinxian Deng
- Department of Pathology, University of Washington, USA
| | - Savannah Cook
- Institute for Stem Cell and Regenerative Medicine, University of Washington, USA; Department of Comparative Medicine, University of Washington, USA
| | - Jennifer Hesson
- Institute for Stem Cell and Regenerative Medicine, University of Washington, USA; Department of Comparative Medicine, University of Washington, USA
| | - Christopher Cavanaugh
- Institute for Stem Cell and Regenerative Medicine, University of Washington, USA; Department of Comparative Medicine, University of Washington, USA
| | - Carol B Ware
- Institute for Stem Cell and Regenerative Medicine, University of Washington, USA; Department of Comparative Medicine, University of Washington, USA
| | - Anton Krumm
- Department of Radiation Oncology, University of Washington, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, USA; Howard Hughes Medical Institute, Seattle, WA 98195-8056, USA
| | - C Anthony Blau
- Institute for Stem Cell and Regenerative Medicine, University of Washington, USA; Division of Hematology, Department of Medicine, University of Washington, USA
| | | | - William S Noble
- Department of Genome Sciences, University of Washington, USA.
| | - ZhiJun Duan
- Institute for Stem Cell and Regenerative Medicine, University of Washington, USA; Division of Hematology, Department of Medicine, University of Washington, USA.
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Umeyama T, Ito T. DMS-Seq for In Vivo Genome-wide Mapping of Protein-DNA Interactions and Nucleosome Centers. Cell Rep 2018; 21:289-300. [PMID: 28978481 DOI: 10.1016/j.celrep.2017.09.035] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Revised: 07/31/2017] [Accepted: 09/08/2017] [Indexed: 01/05/2023] Open
Abstract
Protein-DNA interactions provide the basis for chromatin structure and gene regulation. Comprehensive identification of protein-occupied sites is thus vital to an in-depth understanding of genome function. Dimethyl sulfate (DMS) is a chemical probe that has long been used to detect footprints of DNA-bound proteins in vitro and in vivo. Here, we describe a genomic footprinting method, dimethyl sulfate sequencing (DMS-seq), which exploits the cell-permeable nature of DMS to obviate the need for nuclear isolation. This feature makes DMS-seq simple in practice and removes the potential risk of protein re-localization during nuclear isolation. DMS-seq successfully detects transcription factors bound to cis-regulatory elements and non-canonical chromatin particles in nucleosome-free regions. Furthermore, an unexpected preference of DMS confers on DMS-seq a unique potential to directly detect nucleosome centers without using genetic manipulation. We expect that DMS-seq will serve as a characteristic method for genome-wide interrogation of in vivo protein-DNA interactions.
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Affiliation(s)
- Taichi Umeyama
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka 812-8582, Japan; Core Research for Evolutional Science and Technology (CREST), Japan Agency for Medical Research and Development (AMED), Tokyo 100-0004, Japan; Laboratory for Microbiome Sciences, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Takashi Ito
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka 812-8582, Japan; Core Research for Evolutional Science and Technology (CREST), Japan Agency for Medical Research and Development (AMED), Tokyo 100-0004, Japan.
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35
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Sun C, Lu C. Microfluidics-Based Chromosome Conformation Capture (3C) Technology for Examining Chromatin Organization with a Low Quantity of Cells. Anal Chem 2018; 90:3714-3719. [PMID: 29498513 PMCID: PMC5861017 DOI: 10.1021/acs.analchem.8b00310] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Detecting three-dimensional (3D) genome organization in the form of physical interactions between various genomic loci is of great importance for understanding transcriptional regulations and cellular fate. Chromosome Conformation Capture (3C) method is the gold standard for examining chromatin organization, but usually requires a large number of cells (>107). This hinders studies of scarce tissue samples from animals and patients using the method. Here we developed a microfluidics-based approach for examining chromosome conformation by 3C technology. Critical 3C steps, such as digestion and religation of BAC DNA and cross-linked chromatin, were implemented on a microfluidic chip using a low quantity of cells (<104). Using this technology, we analyzed the chromatin looping interactions in the human β-globin. We envision that our method will provide a powerful tool for low-input analysis of chromosome conformation and epigenetic regulations.
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Affiliation(s)
- Chen Sun
- Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia, 24061, USA
| | - Chang Lu
- Department of Chemical Engineering, Virginia Tech, Blacksburg, Virginia, 24061, USA
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Abstract
It is well known that the chromosomes are organized in the nucleus and this spatial arrangement of genome play a crucial role in gene regulation and genome stability. Different techniques have been developed and applied to uncover the intrinsic mechanism of genome architecture, especially the chromosome conformation capture (3C) and 3C-derived methods. 3C and 3C-derived techniques provide us approaches to perform high-throughput chromatin architecture assays at the genome scale. However, the advantage and disadvantage of current methodologies of C-technologies have not been discussed extensively. In this review, we described and compared the methodologies of C-technologies used in genome organization studies with an emphasis on Hi-C method. We also discussed the crucial challenges facing current genome architecture studies based on 3C and 3C-derived technologies and the direction of future technologies to address currently outstanding questions in the field. These latest news contribute to our current understanding of genome structure, and provide a comprehensive reference for researchers to choose the appropriate method in future application. We consider that these constantly improving technologies will offer a finer and more accurate contact profiles of entire genome and ultimately reveal specific molecular machines govern its shape and function.
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37
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Dworkin M, Xie S, Saha M, Thimmapuram J, Kalavacharla VK. Analyses of methylomes of upland and lowland switchgrass (Panicum virgatum) ecotypes using MeDIP-seq and BS-seq. BMC Genomics 2017; 18:851. [PMID: 29115936 PMCID: PMC5678558 DOI: 10.1186/s12864-017-4218-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 10/16/2017] [Indexed: 01/29/2023] Open
Abstract
Background Switchgrass is a crop with many desirable traits for bioenergy production. Plant genomes have high DNA methylation levels throughout genes and transposable elements and DNA methylation is known to play a role in silencing transposable elements. Here we analyzed methylomes in two switchgrass genotypes AP13 and VS16. AP13 is derived from a lowland ecotype and VS16, typically considered drought-tolerant, is derived from an upland ecotype, both genotypes are tetraploid (2n = 4× = 36). Results Methylated DNA immunoprecipitation-sequencing (MeDIP-seq) and bisulfite-sequencing (BS-seq) were used to profile DNA methylation in genomic features of AP13 and VS16. The methylation patterns in genes and transposable elements were similar to other plants, however, overall CHH methylation levels were comparatively low. Differentially methylated regions (DMRs) were assessed and a total of 1777 CG-DMRs, 573 CHG-DMRs, and 3 CHH-DMRs were detected between the two genotypes. TEs and their flanking regions were higher than that of genic regions. Different types of TEs had different methylation patterns, but the two LTRs (Copia and Gypsy) were similarly methylated, while LINEs and DNA transposons typically had different methylation patterns. MeDIP-seq data was compared to BS-seq data and most of the peaks generated by MeDIP-seq were confirmed to be highly methylated by BS-seq. Conclusions DNA methylation in switchgrass genotypes obtained from the two ecotypes were found similar. Collinear gene pairs in two subgenomes (A and B) were not significantly differentially methylated. Both BS-seq and MeDIP-seq methodologies were found effective. Methylation levels were highest at CG and least in CHH. Increased DNA methylation was seen in TEs compared to genic regions. Exploitation of TE methylations can be a viable option in future crop improvement. Electronic supplementary material The online version of this article (10.1186/s12864-017-4218-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mollee Dworkin
- Molecular Genetics and Epigenomics Laboratory, Delaware State University, Dover, DE, 19901, USA
| | - Shaojun Xie
- Bioinformatics Core, Purdue University, West Lafayette, IN, 47907, USA
| | - Malay Saha
- Samuel Roberts Noble Foundation Inc., Ardmore, OK, 73401, USA
| | | | - Venu Kal Kalavacharla
- Molecular Genetics and Epigenomics Laboratory, Delaware State University, Dover, DE, 19901, USA. .,Center for Integrated Biological and Environmental Research (CIBER), Delaware State University, Dover, DE, 19901, USA.
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Goodstadt M, Marti‐Renom MA. Challenges for visualizing three-dimensional data in genomic browsers. FEBS Lett 2017; 591:2505-2519. [PMID: 28771695 PMCID: PMC5638070 DOI: 10.1002/1873-3468.12778] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 07/30/2017] [Accepted: 07/31/2017] [Indexed: 12/14/2022]
Abstract
Genomic interactions reveal the spatial organization of genomes and genomic domains, which is known to play key roles in cell function. Physical proximity can be represented as two-dimensional heat maps or matrices. From these, three-dimensional (3D) conformations of chromatin can be computed revealing coherent structures that highlight the importance of nonsequential relationships across genomic features. Mainstream genomic browsers have been classically developed to display compact, stacked tracks based on a linear, sequential, per-chromosome coordinate system. Genome-wide comparative analysis demands new approaches to data access and new layouts for analysis. The legibility can be compromised when displaying track-aligned second dimension matrices, which require greater screen space. Moreover, 3D representations of genomes defy vertical alignment in track-based genome browsers. Furthermore, investigation at previously unattainable levels of detail is revealing multiscale, multistate, time-dependent complexity. This article outlines how these challenges are currently handled in mainstream browsers as well as how novel techniques in visualization are being explored to address them. A set of requirements for coherent visualization of novel spatial genomic data is defined and the resulting potential for whole genome visualization is described.
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Affiliation(s)
- Mike Goodstadt
- Structural Genomics GroupCNAG‐CRGThe Barcelona Institute of Science and Technology (BIST)Spain
- Gene Regulation, Stem Cells and Cancer ProgramCentre for Genomic Regulation (CRG)The Barcelona Institute of Science and Technology (BIST)Spain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
| | - Marc A. Marti‐Renom
- Structural Genomics GroupCNAG‐CRGThe Barcelona Institute of Science and Technology (BIST)Spain
- Gene Regulation, Stem Cells and Cancer ProgramCentre for Genomic Regulation (CRG)The Barcelona Institute of Science and Technology (BIST)Spain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)BarcelonaSpain
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Yan KK, Lou S, Gerstein M. MrTADFinder: A network modularity based approach to identify topologically associating domains in multiple resolutions. PLoS Comput Biol 2017; 13:e1005647. [PMID: 28742097 PMCID: PMC5546724 DOI: 10.1371/journal.pcbi.1005647] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Revised: 08/07/2017] [Accepted: 06/27/2017] [Indexed: 11/18/2022] Open
Abstract
Genome-wide proximity ligation based assays such as Hi-C have revealed that eukaryotic genomes are organized into structural units called topologically associating domains (TADs). From a visual examination of the chromosomal contact map, however, it is clear that the organization of the domains is not simple or obvious. Instead, TADs exhibit various length scales and, in many cases, a nested arrangement. Here, by exploiting the resemblance between TADs in a chromosomal contact map and densely connected modules in a network, we formulate TAD identification as a network optimization problem and propose an algorithm, MrTADFinder, to identify TADs from intra-chromosomal contact maps. MrTADFinder is based on the network-science concept of modularity. A key component of it is deriving an appropriate background model for contacts in a random chain, by numerically solving a set of matrix equations. The background model preserves the observed coverage of each genomic bin as well as the distance dependence of the contact frequency for any pair of bins exhibited by the empirical map. Also, by introducing a tunable resolution parameter, MrTADFinder provides a self-consistent approach for identifying TADs at different length scales, hence the acronym "Mr" standing for Multiple Resolutions. We then apply MrTADFinder to various Hi-C datasets. The identified domain boundaries are marked by characteristic signatures in chromatin marks and transcription factors (TF) that are consistent with earlier work. Moreover, by calling TADs at different length scales, we observe that boundary signatures change with resolution, with different chromatin features having different characteristic length scales. Furthermore, we report an enrichment of HOT (high-occupancy target) regions near TAD boundaries and investigate the role of different TFs in determining boundaries at various resolutions. To further explore the interplay between TADs and epigenetic marks, as tumor mutational burden is known to be coupled to chromatin structure, we examine how somatic mutations are distributed across boundaries and find a clear stepwise pattern. Overall, MrTADFinder provides a novel computational framework to explore the multi-scale structures in Hi-C contact maps. The accommodation of the roughly 2m of DNA in the nuclei of mammalian cells results in an intricate structure, in which the topologically associating domains (TADs) formed by densely interacting genomic regions emerge as a fundamental structural unit. Identification of TADs is essential for understanding the role of 3D genome organization in gene regulation. By viewing the chromosomal contact map as a network, TADs correspond to the densely connected regions in the network. Motivated by this mapping, we propose a novel method, MrTADFinder, to identify TADs based on the concept of modularity in network science. Using MrTADFinder, we identify domains at various resolutions, and further explore the interplay between domains and other chromatin features like transcription factors binding and histone modifications at different resolutions. Overall, MrTADFinder provides a new computational framework to investigate the multiple length scales that are built inside the organization of the genome.
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Affiliation(s)
- Koon-Kiu Yan
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States of America
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States of America
| | - Shaoke Lou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States of America
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States of America
| | - Mark Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States of America
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States of America
- Department of Computer Science, Yale University, New Haven, CT, United States of America
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40
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Variable chromatin structure revealed by in situ spatially correlated DNA cleavage mapping. Nature 2016; 541:237-241. [PMID: 28024297 DOI: 10.1038/nature20781] [Citation(s) in RCA: 107] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Accepted: 11/10/2016] [Indexed: 12/29/2022]
Abstract
Chromatin structure at the length scale encompassing local nucleosome-nucleosome interactions is thought to play a crucial role in regulating transcription and access to DNA. However, this secondary structure of chromatin remains poorly understood compared with the primary structure of single nucleosomes or the tertiary structure of long-range looping interactions. Here we report the first genome-wide map of chromatin conformation in human cells at the 1-3 nucleosome (50-500 bp) scale, obtained using ionizing radiation-induced spatially correlated cleavage of DNA with sequencing (RICC-seq) to identify DNA-DNA contacts that are spatially proximal. Unbiased analysis of RICC-seq signal reveals regional enrichment of DNA fragments characteristic of alternating rather than adjacent nucleosome interactions in tri-nucleosome units, particularly in H3K9me3-marked heterochromatin. We infer differences in the likelihood of nucleosome-nucleosome contacts among open chromatin, H3K27me3-marked, and H3K9me3-marked repressed chromatin regions. After calibrating RICC-seq signal to three-dimensional distances, we show that compact two-start helical fibre structures with stacked alternating nucleosomes are consistent with RICC-seq fragmentation patterns from H3K9me3-marked chromatin, while non-compact structures and solenoid structures are consistent with open chromatin. Our data support a model of chromatin architecture in intact interphase nuclei consistent with variable longitudinal compaction of two-start helical fibres.
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41
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Bayarsaihan D. Deciphering the Epigenetic Code in Embryonic and Dental Pulp Stem Cells. THE YALE JOURNAL OF BIOLOGY AND MEDICINE 2016; 89:539-563. [PMID: 28018144 PMCID: PMC5168831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
A close cooperation between chromatin states, transcriptional modulation, and epigenetic modifications is required for establishing appropriate regulatory circuits underlying self-renewal and differentiation of adult and embryonic stem cells. A growing body of research has established that the epigenome topology provides a structural framework for engaging genes in the non-random chromosomal interactions to orchestrate complex processes such as cell-matrix interactions, cell adhesion and cell migration during lineage commitment. Over the past few years, the functional dissection of the epigenetic landscape has become increasingly important for understanding gene expression dynamics in stem cells naturally found in most tissues. Adult stem cells of the human dental pulp hold great promise for tissue engineering, particularly in the skeletal and tooth regenerative medicine. It is therefore likely that progress towards pulp regeneration will have a substantial impact on the clinical research. This review summarizes the current state of knowledge regarding epigenetic cues that have evolved to regulate the pluripotent differentiation potential of embryonic stem cells and the lineage determination of developing dental pulp progenitors.
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Affiliation(s)
- Dashzeveg Bayarsaihan
- Institute for System Genomics and Center for Regenerative Medicine and Skeletal Development, University of Connecticut Health Center, Farmington, CT, USA
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42
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Tordini F, Aldinucci M, Milanesi L, Liò P, Merelli I. The Genome Conformation As an Integrator of Multi-Omic Data: The Example of Damage Spreading in Cancer. Front Genet 2016; 7:194. [PMID: 27895661 PMCID: PMC5108817 DOI: 10.3389/fgene.2016.00194] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 10/24/2016] [Indexed: 12/17/2022] Open
Abstract
Publicly available multi-omic databases, in particular if associated with medical annotations, are rich resources with the potential to lead a rapid transition from high-throughput molecular biology experiments to better clinical outcomes for patients. In this work, we propose a model for multi-omic data integration (i.e., genetic variations, gene expression, genome conformation, and epigenetic patterns), which exploits a multi-layer network approach to analyse, visualize, and obtain insights from such biological information, in order to use achieved results at a macroscopic level. Using this representation, we can describe how driver and passenger mutations accumulate during the development of diseases providing, for example, a tool able to characterize the evolution of cancer. Indeed, our test case concerns the MCF-7 breast cancer cell line, before and after the stimulation with estrogen, since many datasets are available for this case study. In particular, the integration of data about cancer mutations, gene functional annotations, genome conformation, epigenetic patterns, gene expression, and metabolic pathways in our multi-layer representation will allow a better interpretation of the mechanisms behind a complex disease such as cancer. Thanks to this multi-layer approach, we focus on the interplay of chromatin conformation and cancer mutations in different pathways, such as metabolic processes, that are very important for tumor development. Working on this model, a variance analysis can be implemented to identify normal variations within each omics and to characterize, by contrast, variations that can be accounted to pathological samples compared to normal ones. This integrative model can be used to identify novel biomarkers and to provide innovative omic-based guidelines for treating many diseases, improving the efficacy of decision trees currently used in clinic.
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Affiliation(s)
- Fabio Tordini
- Computer Science Department, University of Torino Torino, Italy
| | - Marco Aldinucci
- Computer Science Department, University of Torino Torino, Italy
| | - Luciano Milanesi
- Institute of Biomedical Technologies, Italian National Research Council Milan, Italy
| | - Pietro Liò
- Computer Laboratory, University of Cambridge Cambridge, UK
| | - Ivan Merelli
- Institute of Biomedical Technologies, Italian National Research Council Milan, Italy
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Buffry AD, Mendes CC, McGregor AP. The Functionality and Evolution of Eukaryotic Transcriptional Enhancers. ADVANCES IN GENETICS 2016; 96:143-206. [PMID: 27968730 DOI: 10.1016/bs.adgen.2016.08.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Enhancers regulate precise spatial and temporal patterns of gene expression in eukaryotes and, moreover, evolutionary changes in these modular cis-regulatory elements may represent the predominant genetic basis for phenotypic evolution. Here, we review approaches to identify and functionally analyze enhancers and their transcription factor binding sites, including assay for transposable-accessible chromatin-sequencing (ATAC-Seq) and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9, respectively. We also explore enhancer functionality, including how transcription factor binding sites combine to regulate transcription, as well as research on shadow and super enhancers, and how enhancers can act over great distances and even in trans. Finally, we discuss recent theoretical and empirical data on how transcription factor binding sites and enhancers evolve. This includes how the function of enhancers is maintained despite the turnover of transcription factor binding sites as well as reviewing studies where mutations in enhancers have been shown to underlie morphological change.
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Affiliation(s)
- A D Buffry
- Oxford Brookes University, Oxford, United Kingdom
| | - C C Mendes
- Oxford Brookes University, Oxford, United Kingdom
| | - A P McGregor
- Oxford Brookes University, Oxford, United Kingdom
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44
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Medrano-Fernández A, Barco A. Nuclear organization and 3D chromatin architecture in cognition and neuropsychiatric disorders. Mol Brain 2016; 9:83. [PMID: 27595843 PMCID: PMC5011999 DOI: 10.1186/s13041-016-0263-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 08/06/2016] [Indexed: 01/08/2023] Open
Abstract
The current view of neuroplasticity depicts the changes in the strength and number of synaptic connections as the main physical substrate for behavioral adaptation to new experiences in a changing environment. Although transcriptional regulation is known to play a role in these synaptic changes, the specific contribution of activity-induced changes to both the structure of the nucleus and the organization of the genome remains insufficiently characterized. Increasing evidence indicates that plasticity-related genes may work in coordination and share architectural and transcriptional machinery within discrete genomic foci. Here we review the molecular and cellular mechanisms through which neuronal nuclei structurally adapt to stimuli and discuss how the perturbation of these mechanisms can trigger behavioral malfunction.
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Affiliation(s)
- Alejandro Medrano-Fernández
- Instituto de Neurociencias (Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas), Av. Santiago Ramón y Cajal s/n. Sant Joan d'Alacant, 03550, Alicante, Spain
| | - Angel Barco
- Instituto de Neurociencias (Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas), Av. Santiago Ramón y Cajal s/n. Sant Joan d'Alacant, 03550, Alicante, Spain.
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Rendeiro AF, Schmidl C, Strefford JC, Walewska R, Davis Z, Farlik M, Oscier D, Bock C. Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks. Nat Commun 2016; 7:11938. [PMID: 27346425 PMCID: PMC5494194 DOI: 10.1038/ncomms11938] [Citation(s) in RCA: 99] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 05/16/2016] [Indexed: 12/18/2022] Open
Abstract
Chronic lymphocytic leukaemia (CLL) is characterized by substantial clinical heterogeneity, despite relatively few genetic alterations. To provide a basis for studying epigenome deregulation in CLL, here we present genome-wide chromatin accessibility maps for 88 CLL samples from 55 patients measured by the ATAC-seq assay. We also performed ChIPmentation and RNA-seq profiling for ten representative samples. Based on the resulting data set, we devised and applied a bioinformatic method that links chromatin profiles to clinical annotations. Our analysis identified sample-specific variation on top of a shared core of CLL regulatory regions. IGHV mutation status-which distinguishes the two major subtypes of CLL-was accurately predicted by the chromatin profiles and gene regulatory networks inferred for IGHV-mutated versus IGHV-unmutated samples identified characteristic differences between these two disease subtypes. In summary, we discovered widespread heterogeneity in the chromatin landscape of CLL, established a community resource for studying epigenome deregulation in leukaemia and demonstrated the feasibility of large-scale chromatin accessibility mapping in cancer cohorts and clinical research.
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Affiliation(s)
- André F. Rendeiro
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria
| | - Christian Schmidl
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria
| | - Jonathan C. Strefford
- Faculty of Medicine, Cancer Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Renata Walewska
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth BH7 7DW, UK
| | - Zadie Davis
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth BH7 7DW, UK
| | - Matthias Farlik
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria
| | - David Oscier
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth BH7 7DW, UK
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria
- Department of Laboratory Medicine, Medical University of Vienna, 1090 Vienna, Austria
- Max Planck Institute for Informatics, 66123 Saarbrücken, Germany
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46
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Abstract
Organism viability relies on the stable maintenance of specific chromatin landscapes, established during development, that shape cell functions and identities by driving distinct gene expression programs. Yet epigenome maintenance is challenged during transcription, replication, and repair of DNA damage, all of which elicit dynamic changes in chromatin organization. Here, we review recent advances that have shed light on the specialized mechanisms contributing to the restoration of epigenome structure and function after DNA damage in the mammalian cell nucleus. By drawing a parallel with epigenome maintenance during replication, we explore emerging concepts and highlight open issues in this rapidly growing field. In particular, we present our current knowledge of molecular players that support the coordinated maintenance of genome and epigenome integrity in response to DNA damage, and we highlight how nuclear organization impacts genome stability. Finally, we discuss possible functional implications of epigenome plasticity in response to genotoxic stress.
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Affiliation(s)
- Juliette Dabin
- Epigenome Integrity Group, UMR 7216 CNRS, Paris Diderot University, Sorbonne Paris Cité, 75013 Paris Cedex 13, France
| | - Anna Fortuny
- Epigenome Integrity Group, UMR 7216 CNRS, Paris Diderot University, Sorbonne Paris Cité, 75013 Paris Cedex 13, France
| | - Sophie E Polo
- Epigenome Integrity Group, UMR 7216 CNRS, Paris Diderot University, Sorbonne Paris Cité, 75013 Paris Cedex 13, France.
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47
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An autonomous CEBPA enhancer specific for myeloid-lineage priming and neutrophilic differentiation. Blood 2016; 127:2991-3003. [PMID: 26966090 DOI: 10.1182/blood-2016-01-695759] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 03/02/2016] [Indexed: 12/24/2022] Open
Abstract
Neutrophilic differentiation is dependent on CCAAT enhancer-binding protein α (C/EBPα), a transcription factor expressed in multiple organs including the bone marrow. Using functional genomic technologies in combination with clustered regularly-interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 genome editing and in vivo mouse modeling, we show that CEBPA is located in a 170-kb topological-associated domain that contains 14 potential enhancers. Of these, 1 enhancer located +42 kb from CEBPA is active and engages with the CEBPA promoter in myeloid cells only. Germ line deletion of the homologous enhancer in mice in vivo reduces Cebpa levels exclusively in hematopoietic stem cells (HSCs) and myeloid-primed progenitor cells leading to severe defects in the granulocytic lineage, without affecting any other Cebpa-expressing organ studied. The enhancer-deleted progenitor cells lose their myeloid transcription program and are blocked in differentiation. Deletion of the enhancer also causes loss of HSC maintenance. We conclude that a single +42-kb enhancer is essential for CEBPA expression in myeloid cells only.
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48
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Understanding Spatial Genome Organization: Methods and Insights. GENOMICS PROTEOMICS & BIOINFORMATICS 2016; 14:7-20. [PMID: 26876719 PMCID: PMC4792841 DOI: 10.1016/j.gpb.2016.01.002] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 01/20/2016] [Accepted: 01/21/2016] [Indexed: 12/20/2022]
Abstract
The manner by which eukaryotic genomes are packaged into nuclei while maintaining crucial nuclear functions remains one of the fundamental mysteries in biology. Over the last ten years, we have witnessed rapid advances in both microscopic and nucleic acid-based approaches to map genome architecture, and the application of these approaches to the dissection of higher-order chromosomal structures has yielded much new information. It is becoming increasingly clear, for example, that interphase chromosomes form stable, multilevel hierarchical structures. Among them, self-associating domains like so-called topologically associating domains (TADs) appear to be building blocks for large-scale genomic organization. This review describes features of these broadly-defined hierarchical structures, insights into the mechanisms underlying their formation, our current understanding of how interactions in the nuclear space are linked to gene regulation, and important future directions for the field.
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49
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Madrigal P, Krajewski P. Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform. BioData Min 2015; 8:20. [PMID: 26140054 PMCID: PMC4488123 DOI: 10.1186/s13040-015-0051-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 06/17/2015] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Larger variation exists in epigenomes than in genomes, as a single genome shapes the identity of multiple cell types. With the advent of next-generation sequencing, one of the key problems in computational epigenomics is the poor understanding of correlations and quantitative differences between large scale data sets. RESULTS Here we bring to genomics a scenario of functional principal component analysis, a finite Karhunen-Loève transform, and explicitly decompose the variation in the coverage profiles of 27 chromatin mark ChIP-seq datasets at transcription start sites for H1, one of the most used human embryonic stem cell lines. Using this approach we identify positive correlations between H3K4me3 and H3K36me3, as well as between H3K9ac and H3K36me3, so far undetected by the most commonly used Pearson correlation between read enrichment coverages. We uncover highly negative correlations between H2A.Z, H3K4me3, and several histone acetylation marks, but these occur only between principal components of first and second order. We also demonstrate that levels of gene expression correlate significantly with scores of components of order higher than one, demonstrating that transcriptional regulation by histone marks escapes simple one-to-one relationships. This correlations were higher in significance and magnitude in protein coding genes than in non-coding RNAs. CONCLUSIONS In summary, we present a methodology to explore and uncover novel patterns of epigenomic variability and covariability in genomic data sets by using a functional eigenvalue decomposition of genomic data. R code is available at: http://github.com/pmb59/KLTepigenome.
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Affiliation(s)
- Pedro Madrigal
- Department of Biometry and Bioinformatics, Institute of Plant Genetics of the Polish Academy of Sciences, Strzeszyńska 34, Poznań, 60-479 Poland ; Present address: Wellcome Trust-MRC Cambridge Stem Cell Institute, Anne McLaren Laboratory for Regenerative Medicine, Department of Surgery, University of Cambridge, West Forvie Building, Forvie Site, Robinson Way, Cambridge, CB2 0SZ UK ; Present address: Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA UK
| | - Paweł Krajewski
- Department of Biometry and Bioinformatics, Institute of Plant Genetics of the Polish Academy of Sciences, Strzeszyńska 34, Poznań, 60-479 Poland
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