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Zheng D, Lin K, Yang X, Zhang W, Cheng X. Functional Characterization of Accessible Chromatin in Common Wheat. Int J Mol Sci 2024; 25:9384. [PMID: 39273331 PMCID: PMC11395023 DOI: 10.3390/ijms25179384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 08/23/2024] [Accepted: 08/25/2024] [Indexed: 09/15/2024] Open
Abstract
Eukaryotic gene transcription is fine-tuned by precise spatiotemporal interactions between cis-regulatory elements (CREs) and trans-acting factors. However, how CREs individually or coordinated with epigenetic marks function in regulating homoeolog bias expression is still largely unknown in wheat. In this study, through comprehensively characterizing open chromatin coupled with DNA methylation in the seedling and spikelet of common wheat, we observed that differential chromatin openness occurred between the seedling and spikelet, which plays important roles in tissue development through regulating the expression of related genes or through the transcription factor (TF)-centered regulatory network. Moreover, we found that CHH methylation may act as a key determinant affecting the differential binding of TFs, thereby resulting in differential expression of target genes. In addition, we found that sequence variations in MNase hypersensitive sites (MHSs) result in the differential expression of key genes responsible for important agronomic traits. Thus, our study provides new insights into the roles of CREs in regulating tissue or homoeolog bias expression, and controlling important agronomic traits in common wheat. It also provides potential CREs for genetic and epigenetic manipulation toward improving desirable traits for wheat molecule breeding.
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Affiliation(s)
- Dongyang Zheng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, CIC-MCP, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | - Kande Lin
- State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, CIC-MCP, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | - Xueming Yang
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Wenli Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, CIC-MCP, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
| | - Xuejiao Cheng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, CIC-MCP, Nanjing Agricultural University, No.1 Weigang, Nanjing 210095, China
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2
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Yin C, Hair SC, Byeon GW, Bromley P, Meuleman W, Seelig G. Iterative deep learning-design of human enhancers exploits condensed sequence grammar to achieve cell type-specificity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.14.599076. [PMID: 38915713 PMCID: PMC11195158 DOI: 10.1101/2024.06.14.599076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
An important and largely unsolved problem in synthetic biology is how to target gene expression to specific cell types. Here, we apply iterative deep learning to design synthetic enhancers with strong differential activity between two human cell lines. We initially train models on published datasets of enhancer activity and chromatin accessibility and use them to guide the design of synthetic enhancers that maximize predicted specificity. We experimentally validate these sequences, use the measurements to re-optimize the predictor, and design a second generation of enhancers with improved specificity. Our design methods embed relevant transcription factor binding site (TFBS) motifs with higher frequencies than comparable endogenous enhancers while using a more selective motif vocabulary, and we show that enhancer activity is correlated with transcription factor expression at the single cell level. Finally, we characterize causal features of top enhancers via perturbation experiments and show enhancers as short as 50bp can maintain specificity.
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Affiliation(s)
- Christopher Yin
- Department of Electrical & Computer Engineering, University of Washington, Seattle, WA
| | | | - Gun Woo Byeon
- Department of Electrical & Computer Engineering, University of Washington, Seattle, WA
| | - Peter Bromley
- Altius Institute for Biomedical Sciences, Seattle, WA
| | - Wouter Meuleman
- Altius Institute for Biomedical Sciences, Seattle, WA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA
| | - Georg Seelig
- Department of Electrical & Computer Engineering, University of Washington, Seattle, WA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA
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3
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Kindel F, Triesch S, Schlüter U, Randarevitch LA, Reichel-Deland V, Weber APM, Denton AK. Predmoter-cross-species prediction of plant promoter and enhancer regions. BIOINFORMATICS ADVANCES 2024; 4:vbae074. [PMID: 38841126 PMCID: PMC11150885 DOI: 10.1093/bioadv/vbae074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/10/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
Motivation Identifying cis-regulatory elements (CREs) is crucial for analyzing gene regulatory networks. Next generation sequencing methods were developed to identify CREs but represent a considerable expenditure for targeted analysis of few genomic loci. Thus, predicting the outputs of these methods would significantly cut costs and time investment. Results We present Predmoter, a deep neural network that predicts base-wise Assay for Transposase Accessible Chromatin using sequencing (ATAC-seq) and histone Chromatin immunoprecipitation DNA-sequencing (ChIP-seq) read coverage for plant genomes. Predmoter uses only the DNA sequence as input. We trained our final model on 21 species for 13 of which ATAC-seq data and for 17 of which ChIP-seq data was publicly available. We evaluated our models on Arabidopsis thaliana and Oryza sativa. Our best models showed accurate predictions in peak position and pattern for ATAC- and histone ChIP-seq. Annotating putatively accessible chromatin regions provides valuable input for the identification of CREs. In conjunction with other in silico data, this can significantly reduce the search space for experimentally verifiable DNA-protein interaction pairs. Availability and implementation The source code for Predmoter is available at: https://github.com/weberlab-hhu/Predmoter. Predmoter takes a fasta file as input and outputs h5, and optionally bigWig and bedGraph files.
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Affiliation(s)
- Felicitas Kindel
- Institute of Plant Biochemistry, Math.-Nat. Faculty, Heinrich Heine University, Düsseldorf 40225, Germany
| | - Sebastian Triesch
- Institute of Plant Biochemistry, Math.-Nat. Faculty, Heinrich Heine University, Düsseldorf 40225, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Germany
| | - Urte Schlüter
- Institute of Plant Biochemistry, Math.-Nat. Faculty, Heinrich Heine University, Düsseldorf 40225, Germany
| | - Laura Alexandra Randarevitch
- Cluster of Excellence on Plant Sciences (CEPLAS), Germany
- Institute of Population Genetics, Math.-Nat. Faculty, Heinrich Heine University, Düsseldorf 40225, Germany
| | - Vanessa Reichel-Deland
- Institute of Plant Biochemistry, Math.-Nat. Faculty, Heinrich Heine University, Düsseldorf 40225, Germany
| | - Andreas P M Weber
- Institute of Plant Biochemistry, Math.-Nat. Faculty, Heinrich Heine University, Düsseldorf 40225, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Germany
| | - Alisandra K Denton
- Institute of Plant Biochemistry, Math.-Nat. Faculty, Heinrich Heine University, Düsseldorf 40225, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Germany
- Valence Labs, Montréal, Québec H2S 3H1, Canada
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Kadagandla S, Kapoor A. Identification of candidate causal cis -regulatory variants underlying electrocardiographic QT interval GWAS loci. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.13.584880. [PMID: 38585875 PMCID: PMC10996567 DOI: 10.1101/2024.03.13.584880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Identifying causal variants among tens or hundreds of associated variants at each locus mapped by genome-wide association studies (GWAS) of complex traits is a challenge. As vast majority of GWAS variants are noncoding, sequence variation at cis -regulatory elements affecting transcriptional expression of specific genes is a widely accepted molecular hypothesis. Following this cis -regulatory hypothesis and combining it with the observation that nucleosome-free open chromatin is a universal hallmark of all types of cis -regulatory elements, we aimed to identify candidate causal regulatory variants underlying electrocardiographic QT interval GWAS loci. At a dozen loci, selected for higher effect sizes and a better understanding of the likely causal gene, we identified and included all common variants in high linkage disequilibrium with the GWAS variants as candidate variants. Using ENCODE DNase-seq and ATAC-seq from multiple human adult cardiac left ventricle tissue samples, we generated genome-wide maps of open chromatin regions marking putative regulatory elements. QT interval associated candidate variants were filtered for overlap with cardiac left ventricle open chromatin regions to identify candidate causal cis -regulatory variants, which were further assessed for colocalizing with a known cardiac GTEx expression quantitative trait locus variant as additional evidence for their causal role. Together, these efforts have generated a comprehensive set of candidate causal variants that are expected to be enriched for cis -regulatory potential and thereby, explaining the observed genetic associations.
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Mulet-Lazaro R, Delwel R. From Genotype to Phenotype: How Enhancers Control Gene Expression and Cell Identity in Hematopoiesis. Hemasphere 2023; 7:e969. [PMID: 37953829 PMCID: PMC10635615 DOI: 10.1097/hs9.0000000000000969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/11/2023] [Indexed: 11/14/2023] Open
Abstract
Blood comprises a wide array of specialized cells, all of which share the same genetic information and ultimately derive from the same precursor, the hematopoietic stem cell (HSC). This diversity of phenotypes is underpinned by unique transcriptional programs gradually acquired in the process known as hematopoiesis. Spatiotemporal regulation of gene expression depends on many factors, but critical among them are enhancers-sequences of DNA that bind transcription factors and increase transcription of genes under their control. Thus, hematopoiesis involves the activation of specific enhancer repertoires in HSCs and their progeny, driving the expression of sets of genes that collectively determine morphology and function. Disruption of this tightly regulated process can have catastrophic consequences: in hematopoietic malignancies, dysregulation of transcriptional control by enhancers leads to misexpression of oncogenes that ultimately drive transformation. This review attempts to provide a basic understanding of enhancers and their role in transcriptional regulation, with a focus on normal and malignant hematopoiesis. We present examples of enhancers controlling master regulators of hematopoiesis and discuss the main mechanisms leading to enhancer dysregulation in leukemia and lymphoma.
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Affiliation(s)
- Roger Mulet-Lazaro
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Ruud Delwel
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
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Tan Y, Yan X, Sun J, Wan J, Li X, Huang Y, Li L, Niu L, Hou C. Genome-wide enhancer identification by massively parallel reporter assay in Arabidopsis. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 116:234-250. [PMID: 37387536 DOI: 10.1111/tpj.16373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/29/2023] [Accepted: 06/27/2023] [Indexed: 07/01/2023]
Abstract
Enhancers are critical cis-regulatory elements controlling gene expression during cell development and differentiation. However, genome-wide enhancer characterization has been challenging due to the lack of a well-defined relationship between enhancers and genes. Function-based methods are the gold standard for determining the biological function of cis-regulatory elements; however, these methods have not been widely applied to plants. Here, we applied a massively parallel reporter assay on Arabidopsis to measure enhancer activities across the genome. We identified 4327 enhancers with various combinations of epigenetic modifications distinctively different from animal enhancers. Furthermore, we showed that enhancers differ from promoters in their preference for transcription factors. Although some enhancers are not conserved and overlap with transposable elements forming clusters, enhancers are generally conserved across thousand Arabidopsis accessions, suggesting they are selected under evolution pressure and could play critical roles in the regulation of important genes. Moreover, comparison analysis reveals that enhancers identified by different strategies do not overlap, suggesting these methods are complementary in nature. In sum, we systematically investigated the features of enhancers identified by functional assay in A. thaliana, which lays the foundation for further investigation into enhancers' functional mechanisms in plants.
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Affiliation(s)
- Yongjun Tan
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Xiaohao Yan
- Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Jialei Sun
- Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Jing Wan
- Department of Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xinxin Li
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yingzhang Huang
- Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Li Li
- Department of Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Longjian Niu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Chunhui Hou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
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Celis K, Moreno MDMM, Rajabli F, Whitehead P, Hamilton-Nelson K, Dykxhoorn DM, Nuytemans K, Wang L, Flanagan M, Weintraub S, Geula C, Gearing M, Dalgard CL, Jin F, Bennett DA, Schuck T, Pericak-Vance MA, Griswold AJ, Young JI, Vance JM. Ancestry-related differences in chromatin accessibility and gene expression of APOE ε4 are associated with Alzheimer's disease risk. Alzheimers Dement 2023; 19:3902-3915. [PMID: 37037656 PMCID: PMC10529851 DOI: 10.1002/alz.13075] [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: 11/22/2022] [Revised: 03/03/2023] [Accepted: 03/08/2023] [Indexed: 04/12/2023]
Abstract
INTRODUCTION European local ancestry (ELA) surrounding apolipoprotein E (APOE) ε4 confers higher risk for Alzheimer's disease (AD) compared to African local ancestry (ALA). We demonstrated significantly higher APOE ε4 expression in ELA versus ALA in AD brains from APOE ε4/ε4 carriers. Chromatin accessibility differences could contribute to these expression changes. METHODS We performed single nuclei assays for transposase accessible chromatin sequencing from the frontal cortex of six ALA and six ELA AD brains, homozygous for local ancestry and APOE ε4. RESULTS Our results showed an increased chromatin accessibility at the APOE ε4 promoter area in ELA versus ALA astrocytes. This increased accessibility in ELA astrocytes extended genome wide. Genes with increased accessibility in ELA in astrocytes were enriched for synapsis, cholesterol processing, and astrocyte reactivity. DISCUSSION Our results suggest that increased chromatin accessibility of APOE ε4 in ELA astrocytes contributes to the observed elevated APOE ε4 expression, corresponding to the increased AD risk in ELA versus ALA APOE ε4/ε4 carriers.
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Affiliation(s)
- Katrina Celis
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
| | - Maria DM. Muniz Moreno
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
| | - Farid Rajabli
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
| | - Patrice Whitehead
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
| | - Kara Hamilton-Nelson
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
| | - Derek M. Dykxhoorn
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA, 33136
| | - Karen Nuytemans
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA, 33136
| | - Liyong Wang
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA, 33136
| | - Margaret Flanagan
- Northwestern ADC Neuropathology Core, Northwestern University Feinberg School of Medicine, Chicago, IL, USA, 60611
| | - Sandra Weintraub
- Northwestern ADC Neuropathology Core, Northwestern University Feinberg School of Medicine, Chicago, IL, USA, 60611
| | - Changiz Geula
- Northwestern ADC Neuropathology Core, Northwestern University Feinberg School of Medicine, Chicago, IL, USA, 60611
| | - Marla Gearing
- Goizueta Alzheimer’s Disease Research Center, Emory University, Atlanta, GA, USA, 15213
| | - Clifton L. Dalgard
- The American Genome Center, Uniformed Services University, Bethesda, MD, USA, 20814
- Collaborative Health Initiative Research Program, Henry Jackson Foundation, Bethesda, MD, USA, 20817
- Department of Anatomy Physiology & Genetics, Uniformed Services University, Bethesda, MD, USA, 20814
| | - Fulai Jin
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA, 44106
| | - David A. Bennett
- Department of Neurological Sciences, Rush University, Chicago, IL, USA, 60612
| | - Theresa Schuck
- The Department of Pathology and Laboratory Medicine, Institute on Aging and Center for Neurodegenerative Disease Research, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA,19104
| | - Margaret A. Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA, 33136
| | - Anthony J. Griswold
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA, 33136
| | - Juan I. Young
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA, 33136
| | - Jeffery M. Vance
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA, 33136
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA, 33136
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Martin EW, Rodriguez y Baena A, Reggiardo RE, Worthington AK, Mattingly CS, Poscablo DM, Krietsch J, McManus MT, Carpenter S, Kim DH, Forsberg EC. Dynamics of Chromatin Accessibility During Hematopoietic Stem Cell Differentiation Into Progressively Lineage-Committed Progeny. Stem Cells 2023; 41:520-539. [PMID: 36945732 PMCID: PMC10183972 DOI: 10.1093/stmcls/sxad022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 02/27/2023] [Indexed: 03/23/2023]
Abstract
Epigenetic mechanisms regulate the multilineage differentiation capacity of hematopoietic stem cells (HSCs) into a variety of blood and immune cells. Mapping the chromatin dynamics of functionally defined cell populations will shed mechanistic insight into 2 major, unanswered questions in stem cell biology: how does epigenetic identity contribute to a cell type's lineage potential, and how do cascades of chromatin remodeling dictate ensuing fate decisions? Our recent work revealed evidence of multilineage gene priming in HSCs, where open cis-regulatory elements (CREs) exclusively shared between HSCs and unipotent lineage cells were enriched for DNA binding motifs of known lineage-specific transcription factors. Oligopotent progenitor populations operating between the HSCs and unipotent cells play essential roles in effecting hematopoietic homeostasis. To test the hypothesis that selective HSC-primed lineage-specific CREs remain accessible throughout differentiation, we used ATAC-seq to map the temporal dynamics of chromatin remodeling during progenitor differentiation. We observed epigenetic-driven clustering of oligopotent and unipotent progenitors into distinct erythromyeloid and lymphoid branches, with multipotent HSCs and MPPs associating with the erythromyeloid lineage. We mapped the dynamics of lineage-primed CREs throughout hematopoiesis and identified both unique and shared CREs as potential lineage reinforcement mechanisms at fate branch points. Additionally, quantification of genome-wide peak count and size revealed overall greater chromatin accessibility in HSCs, allowing us to identify HSC-unique peaks as putative regulators of self-renewal and multilineage potential. Finally, CRISPRi-mediated targeting of ATACseq-identified putative CREs in HSCs allowed us to demonstrate the functional role of selective CREs in lineage-specific gene expression. These findings provide insight into the regulation of stem cell multipotency and lineage commitment throughout hematopoiesis and serve as a resource to test functional drivers of hematopoietic lineage fate.
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Affiliation(s)
- Eric W Martin
- Institute for the Biology of Stem Cells, Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Alessandra Rodriguez y Baena
- Institute for the Biology of Stem Cells, Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Roman E Reggiardo
- Institute for the Biology of Stem Cells, Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Atesh K Worthington
- Institute for the Biology of Stem Cells, Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Connor S Mattingly
- Institute for the Biology of Stem Cells, Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Donna M Poscablo
- Institute for the Biology of Stem Cells, Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Jana Krietsch
- Institute for the Biology of Stem Cells, Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Michael T McManus
- Department of Microbiology and Immunology, Diabetes Center, W.M. Keck Center for Noncoding RNAs, University of California San Francisco, San Francisco, CA, USA
| | - Susan Carpenter
- Institute for the Biology of Stem Cells, Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Daniel H Kim
- Institute for the Biology of Stem Cells, Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - E Camilla Forsberg
- Institute for the Biology of Stem Cells, Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
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Guo Q, Wu S, Geschwind DH. Characterization of Gene Regulatory Elements in Human Fetal Cortical Development: Enhancing Our Understanding of Neurodevelopmental Disorders and Evolution. Dev Neurosci 2023; 46:69-83. [PMID: 37231806 DOI: 10.1159/000530929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 04/24/2023] [Indexed: 05/27/2023] Open
Abstract
The neocortex is the region that most distinguishes human brain from other mammals and primates [Annu Rev Genet. 2021 Nov;55(1):555-81]. Studying the development of human cortex is important in understanding the evolutionary changes occurring in humans relative to other primates, as well as in elucidating mechanisms underlying neurodevelopmental disorders. Cortical development is a highly regulated process, spatially and temporally coordinated by expression of essential transcriptional factors in response to signaling pathways [Neuron. 2019 Sep;103(6):980-1004]. Enhancers are the most well-understood cis-acting, non-protein-coding regulatory elements that regulate gene expression [Nat Rev Genet. 2014 Apr;15(4):272-86]. Importantly, given the conservation of both DNA sequence and molecular function of the majority of proteins across mammals [Genome Res. 2003 Dec;13(12):2507-18], enhancers [Science. 2015 Mar;347(6226):1155-9], which are far more divergent at the sequence level, likely account for the phenotypes that distinguish the human brain by changing the regulation of gene expression. In this review, we will revisit the conceptual framework of gene regulation during human brain development, as well as the evolution of technologies to study transcriptional regulation, with recent advances in genome biology that open a window allowing us to systematically characterize cis-regulatory elements in developing human brain [Hum Mol Genet. 2022 Oct;31(R1):R84-96]. We provide an update on work to characterize the suite of all enhancers in the developing human brain and the implications for understanding neuropsychiatric disorders. Finally, we discuss emerging therapeutic ideas that utilize our emerging knowledge of enhancer function.
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Affiliation(s)
- Qiuyu Guo
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California, USA
- Center for Autism Research and Treatment, Semel Institute, University of California Los Angeles, Los Angeles, California, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Sarah Wu
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California, USA
| | - Daniel H Geschwind
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California, USA
- Center for Autism Research and Treatment, Semel Institute, University of California Los Angeles, Los Angeles, California, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Institute of Precision Health, University of California Los Angeles, Los Angeles, California, USA
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10
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Bina M. Defining Candidate Imprinted loci in Bos taurus. Genes (Basel) 2023; 14:1036. [PMID: 37239396 PMCID: PMC10217866 DOI: 10.3390/genes14051036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/27/2023] [Accepted: 04/30/2023] [Indexed: 05/28/2023] Open
Abstract
Using a whole-genome assembly of Bos taurus, I applied my bioinformatics strategy to locate candidate imprinting control regions (ICRs) genome-wide. In mammals, genomic imprinting plays essential roles in embryogenesis. In my strategy, peaks in plots mark the locations of known, inferred, and candidate ICRs. Genes in the vicinity of candidate ICRs correspond to potential imprinted genes. By displaying my datasets on the UCSC genome browser, one could view peak positions with respect to genomic landmarks. I give two examples of candidate ICRs in loci that influence spermatogenesis in bulls: CNNM1 and CNR1. I also give examples of candidate ICRs in loci that influence muscle development: SIX1 and BCL6. By examining the ENCODE data reported for mice, I deduced regulatory clues about cattle. I focused on DNase I hypersensitive sites (DHSs). Such sites reveal accessibility of chromatin to regulators of gene expression. For inspection, I chose DHSs in chromatin from mouse embryonic stem cells (ESCs) ES-E14, mesoderm, brain, heart, and skeletal muscle. The ENCODE data revealed that the SIX1 promoter was accessible to the transcription initiation apparatus in mouse ESCs, mesoderm, and skeletal muscles. The data also revealed accessibility of BCL6 locus to regulatory proteins in mouse ESCs and examined tissues.
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Affiliation(s)
- Minou Bina
- Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA
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11
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Kravchuk EV, Ashniev GA, Gladkova MG, Orlov AV, Vasileva AV, Boldyreva AV, Burenin AG, Skirda AM, Nikitin PI, Orlova NN. Experimental Validation and Prediction of Super-Enhancers: Advances and Challenges. Cells 2023; 12:cells12081191. [PMID: 37190100 DOI: 10.3390/cells12081191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/07/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
Super-enhancers (SEs) are cis-regulatory elements of the human genome that have been widely discussed since the discovery and origin of the term. Super-enhancers have been shown to be strongly associated with the expression of genes crucial for cell differentiation, cell stability maintenance, and tumorigenesis. Our goal was to systematize research studies dedicated to the investigation of structure and functions of super-enhancers as well as to define further perspectives of the field in various applications, such as drug development and clinical use. We overviewed the fundamental studies which provided experimental data on various pathologies and their associations with particular super-enhancers. The analysis of mainstream approaches for SE search and prediction allowed us to accumulate existing data and propose directions for further algorithmic improvements of SEs' reliability levels and efficiency. Thus, here we provide the description of the most robust algorithms such as ROSE, imPROSE, and DEEPSEN and suggest their further use for various research and development tasks. The most promising research direction, which is based on topic and number of published studies, are cancer-associated super-enhancers and prospective SE-targeted therapy strategies, most of which are discussed in this review.
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Affiliation(s)
- Ekaterina V Kravchuk
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Leninskiye Gory, MSU, 1-12, 119991 Moscow, Russia
| | - German A Ashniev
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Leninskiye Gory, MSU, 1-12, 119991 Moscow, Russia
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, GSP-1, Leninskiye Gory, MSU, 1-73, 119234 Moscow, Russia
| | - Marina G Gladkova
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, GSP-1, Leninskiye Gory, MSU, 1-73, 119234 Moscow, Russia
| | - Alexey V Orlov
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Anastasiia V Vasileva
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Anna V Boldyreva
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Alexandr G Burenin
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Artemiy M Skirda
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Petr I Nikitin
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
| | - Natalia N Orlova
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov St., 119991 Moscow, Russia
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12
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Das M, Hossain A, Banerjee D, Praul CA, Girirajan S. Challenges and considerations for reproducibility of STARR-seq assays. Genome Res 2023; 33:479-495. [PMID: 37130797 PMCID: PMC10234304 DOI: 10.1101/gr.277204.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 03/15/2023] [Indexed: 05/04/2023]
Abstract
High-throughput methods such as RNA-seq, ChIP-seq, and ATAC-seq have well-established guidelines, commercial kits, and analysis pipelines that enable consistency and wider adoption for understanding genome function and regulation. STARR-seq, a popular assay for directly quantifying the activities of thousands of enhancer sequences simultaneously, has seen limited standardization across studies. The assay is long, with more than 250 steps, and frequent customization of the protocol and variations in bioinformatics methods raise concerns for reproducibility of STARR-seq studies. Here, we assess each step of the protocol and analysis pipelines from published sources and in-house assays, and identify critical steps and quality control (QC) checkpoints necessary for reproducibility of the assay. We also provide guidelines for experimental design, protocol scaling, customization, and analysis pipelines for better adoption of the assay. These resources will allow better optimization of STARR-seq for specific research needs, enable comparisons and integration across studies, and improve the reproducibility of results.
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Affiliation(s)
- Maitreya Das
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA;
- Molecular and Cellular Integrative Biosciences Graduate Program, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Ayaan Hossain
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Bioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Deepro Banerjee
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Bioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Craig Alan Praul
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Santhosh Girirajan
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA;
- Molecular and Cellular Integrative Biosciences Graduate Program, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Bioinformatics and Genomics Graduate Program, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
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13
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Ullah F, Jabeen S, Salton M, Reddy ASN, Ben-Hur A. Evidence for the role of transcription factors in the co-transcriptional regulation of intron retention. Genome Biol 2023; 24:53. [PMID: 36949544 PMCID: PMC10031921 DOI: 10.1186/s13059-023-02885-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 02/16/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND Alternative splicing is a widespread regulatory phenomenon that enables a single gene to produce multiple transcripts. Among the different types of alternative splicing, intron retention is one of the least explored despite its high prevalence in both plants and animals. The recent discovery that the majority of splicing is co-transcriptional has led to the finding that chromatin state affects alternative splicing. Therefore, it is plausible that transcription factors can regulate splicing outcomes. RESULTS We provide evidence for the hypothesis that transcription factors are involved in the regulation of intron retention by studying regions of open chromatin in retained and excised introns. Using deep learning models designed to distinguish between regions of open chromatin in retained introns and non-retained introns, we identified motifs enriched in IR events with significant hits to known human transcription factors. Our model predicts that the majority of transcription factors that affect intron retention come from the zinc finger family. We demonstrate the validity of these predictions using ChIP-seq data for multiple zinc finger transcription factors and find strong over-representation for their peaks in intron retention events. CONCLUSIONS This work opens up opportunities for further studies that elucidate the mechanisms by which transcription factors affect intron retention and other forms of splicing. AVAILABILITY Source code available at https://github.com/fahadahaf/chromir.
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Affiliation(s)
- Fahad Ullah
- Department of Computer Science, Colorado State University, Fort Collins, CO, USA
| | - Saira Jabeen
- Department of Computer Science, Colorado State University, Fort Collins, CO, USA
| | - Maayan Salton
- Department of Biology, Colorado State University, Fort Collins, CO, USA
| | - Anireddy S N Reddy
- Biochemistry and Molecular Biology Department, The Hebrew University Faculty of Medicine, Jerusalem, Israel
| | - Asa Ben-Hur
- Department of Computer Science, Colorado State University, Fort Collins, CO, USA.
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14
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Zhang Y, Zhang Y, Song C, Zhao X, Ai B, Wang Y, Zhou L, Zhu J, Feng C, Xu L, Wang Q, Sun H, Fang Q, Xu X, Li E, Li C. CRdb: a comprehensive resource for deciphering chromatin regulators in human. Nucleic Acids Res 2023; 51:D88-D100. [PMID: 36318256 PMCID: PMC9825595 DOI: 10.1093/nar/gkac960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 10/04/2022] [Accepted: 10/12/2022] [Indexed: 11/05/2022] Open
Abstract
Chromatin regulators (CRs) regulate epigenetic patterns on a partial or global scale, playing a critical role in affecting multi-target gene expression. As chromatin immunoprecipitation sequencing (ChIP-seq) data associated with CRs are rapidly accumulating, a comprehensive resource of CRs needs to be built urgently for collecting, integrating, and processing these data, which can provide abundant annotated information on CR upstream and downstream regulatory analyses as well as CR-related analysis functions. This study established an integrative CR resource, named CRdb (http://cr.liclab.net/crdb/), with the aim of curating a large number of available resources for CRs and providing extensive annotations and analyses of CRs to help biological researchers clarify the regulation mechanism and function of CRs. The CRdb database comprised a total of 647 CRs and 2,591 ChIP-seq samples from more than 300 human tissues and cell types. These samples have been manually curated from NCBI GEO/SRA and ENCODE. Importantly, CRdb provided the abundant and detailed genetic annotations in CR-binding regions based on ChIP-seq. Furthermore, CRdb supported various functional annotations and upstream regulatory information on CRs. In particular, it embedded four types of CR regulatory analyses: CR gene set enrichment, CR-binding genomic region annotation, CR-TF co-occupancy analysis, and CR regulatory axis analysis. CRdb is a useful and powerful resource that can help in exploring the potential functions of CRs and their regulatory mechanism in diseases and biological processes.
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Affiliation(s)
- Yimeng Zhang
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China
| | | | | | - Xilong Zhao
- School of Medical Informatics, Daqing Campus, Harbin Medical University.Daqing 163319, China
| | - Bo Ai
- School of Medical Informatics, Daqing Campus, Harbin Medical University.Daqing 163319, China
| | - Yuezhu Wang
- School of Medical Informatics, Daqing Campus, Harbin Medical University.Daqing 163319, China
| | - Liwei Zhou
- School of Medical Informatics, Daqing Campus, Harbin Medical University.Daqing 163319, China
| | - Jiang Zhu
- School of Medical Informatics, Daqing Campus, Harbin Medical University.Daqing 163319, China
| | - Chenchen Feng
- School of Medical Informatics, Daqing Campus, Harbin Medical University.Daqing 163319, China
| | - Liyan Xu
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China
- Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Institute of Oncologic Pathology, Cancer Research Center, Shantou University Medical College, Shantou 515041, China
| | - Qiuyu Wang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Hong Sun
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China
- Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou 515041, China
| | - Qiaoli Fang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
| | - Xiaozheng Xu
- School of Medical Informatics, Daqing Campus, Harbin Medical University.Daqing 163319, China
| | - Enmin Li
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China
- Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou 515041, China
| | - Chunquan Li
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South
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15
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Tang X, Zheng P, Liu Y, Yao Y, Huang G. LangMoDHS: A deep learning language model for predicting DNase I hypersensitive sites in mouse genome. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:1037-1057. [PMID: 36650801 DOI: 10.3934/mbe.2023048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
DNase I hypersensitive sites (DHSs) are a specific genomic region, which is critical to detect or understand cis-regulatory elements. Although there are many methods developed to detect DHSs, there is a big gap in practice. We presented a deep learning-based language model for predicting DHSs, named LangMoDHS. The LangMoDHS mainly comprised the convolutional neural network (CNN), the bi-directional long short-term memory (Bi-LSTM) and the feed-forward attention. The CNN and the Bi-LSTM were stacked in a parallel manner, which was helpful to accumulate multiple-view representations from primary DNA sequences. We conducted 5-fold cross-validations and independent tests over 14 tissues and 4 developmental stages. The empirical experiments showed that the LangMoDHS is competitive with or slightly better than the iDHS-Deep, which is the latest method for predicting DHSs. The empirical experiments also implied substantial contribution of the CNN, Bi-LSTM, and attention to DHSs prediction. We implemented the LangMoDHS as a user-friendly web server which is accessible at http:/www.biolscience.cn/LangMoDHS/. We used indices related to information entropy to explore the sequence motif of DHSs. The analysis provided a certain insight into the DHSs.
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Affiliation(s)
- Xingyu Tang
- School of Electrical Engineering, Shaoyang University, Shaoyang 422000, China
| | - Peijie Zheng
- School of Electrical Engineering, Shaoyang University, Shaoyang 422000, China
| | - Yuewu Liu
- College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China
| | - Yuhua Yao
- School of Mathematics and Statistics, Hainan Normal University, Haikou 571158, China
| | - Guohua Huang
- School of Electrical Engineering, Shaoyang University, Shaoyang 422000, China
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16
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Role of the Intermediate Filament Protein Peripherin in Health and Disease. Int J Mol Sci 2022; 23:ijms232315416. [PMID: 36499746 PMCID: PMC9740141 DOI: 10.3390/ijms232315416] [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: 10/26/2022] [Revised: 11/23/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Intermediate filaments are the most heterogeneous class among cytoskeletal elements. While some of them have been well-characterized, little is known about peripherin. Peripherin is a class III intermediate filament protein with a specific expression in the peripheral nervous system. Epigenetic modifications are involved in this cell-type-specific expression. Peripherin has important roles in neurite outgrowth and stability, axonal transport, and axonal myelination. Moreover, peripherin interacts with proteins involved in vesicular trafficking, signal transduction, DNA/RNA processing, protein folding, and mitochondrial metabolism, suggesting a role in all these processes. This review collects information regarding peripherin gene regulation, post-translational modifications, and functions and its involvement in the onset of a number of diseases.
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17
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Zhou JJ, Cho KWY. Epigenomic dynamics of early Xenopus Embryos. Dev Growth Differ 2022; 64:508-516. [PMID: 36168140 PMCID: PMC10550391 DOI: 10.1111/dgd.12813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 09/15/2022] [Accepted: 09/20/2022] [Indexed: 12/31/2022]
Abstract
How the embryonic genome regulates accessibility to transcription factors is one of the major questions in understanding the spatial and temporal dynamics of gene expression during embryogenesis. Epigenomic analyses of embryonic chromatin provide molecular insights into cell-specific gene activities and genomic architectures. In recent years, significant advances have been made to elucidate the dynamic changes behind the activation of the zygotic genome in various model organisms. Here we provide an overview of the recent epigenomic studies pertaining to early Xenopus development.
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Affiliation(s)
- Jeff Jiajing Zhou
- Developmental and Cell Biology, University of California, Irvine, California, USA
| | - Ken W Y Cho
- Developmental and Cell Biology, University of California, Irvine, California, USA
- Center for Complex Biological Systems, University of California, Irvine, California, USA
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18
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Shi Y, Wang M, Liu D, Ullah S, Ma X, Yang H, Liu B. Super-enhancers in esophageal carcinoma: Transcriptional addictions and therapeutic strategies. Front Oncol 2022; 12:1036648. [DOI: 10.3389/fonc.2022.1036648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 10/10/2022] [Indexed: 11/13/2022] Open
Abstract
The tumorigenesis of esophageal carcinoma arises from transcriptional dysregulation would become exceptionally dependent on specific regulators of gene expression, which could be preferentially attributed to the larger non-coding cis-regulatory elements, i.e. super-enhancers (SEs). SEs, large genomic regulatory entity in close genomic proximity, are underpinned by control cancer cell identity. As a consequence, the transcriptional addictions driven by SEs could offer an Achilles’ heel for molecular treatments on patients of esophageal carcinoma and other types of cancer as well. In this review, we summarize the recent findings about the oncogenic SEs upon which esophageal cancer cells depend, and discuss why SEs could be seen as the hallmark of cancer, how transcriptional dependencies driven by SEs, and what opportunities could be supplied based on this cancer-specific SEs.
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19
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Swargiary P, Boruah N, Singh CS, Chatterjee A. Genome-wide analysis of DNaseI hypersensitivity unveils open chromatin associated with histone H3 modifications after areca nut with lime exposure. Mutagenesis 2022; 37:182-190. [DOI: 10.1093/mutage/geac015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 09/01/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Research over the years revealed that precocious anaphase, securin overexpression, and genome instability in both target and nontarget cells are significantly associated with the increased risk of areca nut (AN) and lime-induced oral, esophageal, and gastric cancers. Further, hyperphosphorylation of Rb and histone H3 epigenetic modifications both globally and in the promoter region of the securin gene were demonstrated after AN + lime exposure. This study aims whether the extract of raw AN + lime relaxes chromatin structure which further facilitates the histone H3 epigenetic modifications during the initial phase of carcinogenesis. Three groups of mice (10 in each group) were used. The treated group consumed 1 mg/day/mice of AN extract with lime ad libitum in the drinking water for 60 days. The dose was increased by 1 mg every 60 days. Isolated nuclei were digested with DNaseI and 2 kb and below DNA was eluted from the agarose gel, purified and PCR amplified by using securin and GAPDH primers. Securin and E2F1 expression, pRb phosphorylation, and histone epigenetic modifications were analyzed by immunohistochemistry. The number of DNA fragments within 2 kb in size after DNaseI treatment was higher significantly in AN + lime exposed tissue samples than in the untreated one. The PCR result showed that the number of fragments bearing securin gene promoter and GAPDH gene was significantly higher in AN + lime exposed DNaseI-treated samples. Immunohistochemistry data revealed increased Rb hyperphosphorylation, upregulation of E2F1, and securin in the AN + lime-treated samples. Increased trimethylation of histone H3 lysine 4 and acetylation of H3 lysine 9 and 18 were observed globally in the treated samples. Therefore, the results of this study have led to the hypothesis that AN + lime exposure relaxes the chromatin, changes the epigenetic landscape, and deregulates the Rb–E2F1 circuit which might be involved in the upregulation of securin and some other proto-oncogenes that might play an important role in the initial phases of AN + lime mediated carcinogenesis.
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Affiliation(s)
- Pooja Swargiary
- Molecular Genetics Laboratory, Department of Biotechnology & Bioinformatics, North-Eastern Hill University , Shillong, Meghalaya 793022 , India
| | - Nabamita Boruah
- Molecular Genetics Laboratory, Department of Biotechnology & Bioinformatics, North-Eastern Hill University , Shillong, Meghalaya 793022 , India
| | - Chongtham Sovachandra Singh
- Molecular Genetics Laboratory, Department of Biotechnology & Bioinformatics, North-Eastern Hill University , Shillong, Meghalaya 793022 , India
| | - Anupam Chatterjee
- Molecular Genetics Laboratory, Department of Biotechnology & Bioinformatics, North-Eastern Hill University , Shillong, Meghalaya 793022 , India
- Department of Biotechnology, Royal School of Biosciences, The Assam Royal Global University , Guwahati, Assam 781035 , India
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20
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Integrated Analysis of Transcriptome, microRNAs, and Chromatin Accessibility Revealed Potential Early B-Cell Factor1-Regulated Transcriptional Networks during the Early Development of Fetal Brown Adipose Tissues in Rabbits. Cells 2022; 11:cells11172675. [PMID: 36078081 PMCID: PMC9454897 DOI: 10.3390/cells11172675] [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: 07/08/2022] [Revised: 08/19/2022] [Accepted: 08/24/2022] [Indexed: 11/30/2022] Open
Abstract
In domestic mammals, cold stress decreases the survival rate of newborns and increases the cost of management. Brown adipose tissue (BAT) is the main thermogenic organ for cubs, and well-developed fetal BAT (FBAT) is beneficial for newborns to maintain core temperatures during the first several days of life. However, our knowledge of the epigenetic mechanisms during the early development of FBAT remains largely unknown. Rabbits (Oryctolagus cuniculus) are economically important domestic animals. In this study, a histological analysis shows that the tissue content, thermogenic capacity, and lipid content of FBAT dramatically increases from gestational day 21 (G21) to gestational day 24 (G24) in rabbits. RNA-seq, microRNA-seq (miRNA-seq), and the assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) show that many genes, miRNAs, and chromatin-accessible regions (referred to as peaks) were identified as significantly changed from G21 to G24, respectively. The upregulated genes from G21 to G24 were significantly enriched in the mitochondrial metabolism and thermogenesis-related signal pathways. The integrated analysis of transcriptome and chromatin accessibility reveals that the peaks in the promoters have a more regulatory effect than peaks in other genomic elements on the expression of their nearby genes in FBATs. The upregulated genes that are associated with increased chromatin accessibility in the promoter regions are involved in the energy metabolism-related signaling pathways. The genes that have a greater tendency to be regulated by miRNAs than the chromatin accessibility in gene promoters are involved in the apelin, insulin, and endocytosis signaling pathways. Furthermore, genome-wide transcription factor (TF) footprinting analysis identifies early B-cell factor1 (EBF1) as playing a key role during early FBAT development. The carbon metabolism, citrate cycle, and PPAR signaling pathways are significantly enriched by the predicted EBF1-regulated cascade TF-network. In conclusion, our work provides a framework for understanding epigenetics regulatory mechanisms underlying the early development of FBAT and identifies potential TF involved in the early development of FBAT in rabbits.
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21
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Buccinnà B, Ramondetti C, Piccinini M. Ampk Activation Attenuates Her3 Upregulation And Neuregulin-Mediated Rescue of Cell Proliferation in Her2-Overexpressing Breast Cancer Cell Lines Exposed to Lapatinib. Biochem Pharmacol 2022; 204:115228. [PMID: 36007575 DOI: 10.1016/j.bcp.2022.115228] [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: 07/06/2022] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 11/02/2022]
Abstract
Lapatinib is a highly selective reversible inhibitor of the tyrosine kinase domains of HER2 and EGFR, approved for the treatment of advanced stage HER2-overexpressing breast cancers. Although targeted therapy with lapatinib provides initial clinical advantage, cancer cells' adaptive responses can overcome the inhibitory effects of lapatinib. HER3 upregulation and autocrine induction of HER3 ligand neuregulin-1 (NRG), have been implicated in the restoration of AKT and ERK1/2 activity and rescue of cell proliferation. In this study we evaluated the effects of lapatinib alone and in combination with AMPK activator GSK-621 in HER2-overexpressing breast cancer cell lines SKBR3 and BT474. Our results show that in cells exposed to lapatinib and GSK-621 in combination, lapatinib-mediated HER3 upregulation was reduced and reactivation of AKT and ERK1/2 kinases was prevented. The two drugs in combination decreased cell viability in a synergistic manner and greatly reduced the ability of NRG to rescue cell proliferation. Finally, we provide evidence that in cells exposed to lapatinib and GSK-621 in combination the establishment of a transcriptionally permissive chromatin structure at the HER3 promoter is hampered. The results of this study highlight a potential role for AMPK activation in counteracting lapatinib-induced adaptive responses of HER2-overexpressing breast cancer cells.
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Affiliation(s)
- Barbara Buccinnà
- University of Turin, Department of Oncology, via Michelangelo Buonarroti 27/b, 10126 Torino, Italy.
| | - Cristina Ramondetti
- University of Turin, Department of Oncology, via Michelangelo Buonarroti 27/b, 10126 Torino, Italy.
| | - Marco Piccinini
- University of Turin, Department of Oncology, via Michelangelo Buonarroti 27/b, 10126 Torino, Italy.
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22
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Comparison of chromatin accessibility landscapes during early development of prefrontal cortex between rhesus macaque and human. Nat Commun 2022; 13:3883. [PMID: 35794099 PMCID: PMC9259620 DOI: 10.1038/s41467-022-31403-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
Epigenetic information regulates gene expression and development. However, our understanding of the evolution of epigenetic regulation on brain development in primates is limited. Here, we compared chromatin accessibility landscapes and transcriptomes during fetal prefrontal cortex (PFC) development between rhesus macaques and humans. A total of 304,761 divergent DNase I-hypersensitive sites (DHSs) are identified between rhesus macaques and humans, although many of these sites share conserved DNA sequences. Interestingly, most of the cis-elements linked to orthologous genes with dynamic expression are divergent DHSs. Orthologous genes expressed at earlier stages tend to have conserved cis-elements, whereas orthologous genes specifically expressed at later stages seldom have conserved cis-elements. These genes are enriched in synapse organization, learning and memory. Notably, DHSs in the PFC at early stages are linked to human educational attainment and cognitive performance. Collectively, the comparison of the chromatin epigenetic landscape between rhesus macaques and humans suggests a potential role for regulatory elements in the evolution of differences in cognitive ability between non-human primates and humans. The evolution of epigenetic regulation of brain development in primates is not well understood. Here, the authors perform a comparative study of epigenetic dynamics of early prefrontal cortex development between human and rhesus macaque, finding divergent regulatory elements that may be related to cognitive capacity.
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Rezaie N, Bayati M, Hamidi M, Tahaei MS, Khorasani S, Lovell NH, Breen J, Rabiee HR, Alinejad-Rokny H. Somatic point mutations are enriched in non-coding RNAs with possible regulatory function in breast cancer. Commun Biol 2022; 5:556. [PMID: 35672401 PMCID: PMC9174258 DOI: 10.1038/s42003-022-03528-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 05/24/2022] [Indexed: 11/09/2022] Open
Abstract
Non-coding RNAs (ncRNAs) form a large portion of the mammalian genome. However, their biological functions are poorly characterized in cancers. In this study, using a newly developed tool, SomaGene, we analyze de novo somatic point mutations from the International Cancer Genome Consortium (ICGC) whole-genome sequencing data of 1,855 breast cancer samples. We identify 1030 candidates of ncRNAs that are significantly and explicitly mutated in breast cancer samples. By integrating data from the ENCODE regulatory features and FANTOM5 expression atlas, we show that the candidate ncRNAs significantly enrich active chromatin histone marks (1.9 times), CTCF binding sites (2.45 times), DNase accessibility (1.76 times), HMM predicted enhancers (2.26 times) and eQTL polymorphisms (1.77 times). Importantly, we show that the 1030 ncRNAs contain a much higher level (3.64 times) of breast cancer-associated genome-wide association (GWAS) single nucleotide polymorphisms (SNPs) than genome-wide expectation. Such enrichment has not been seen with GWAS SNPs from other cancers. Using breast cell line related Hi-C data, we then show that 82% of our candidate ncRNAs (1.9 times) significantly interact with the promoter of protein-coding genes, including previously known cancer-associated genes, suggesting the critical role of candidate ncRNA genes in the activation of essential regulators of development and differentiation in breast cancer. We provide an extensive web-based resource (https://www.ihealthe.unsw.edu.au/research) to communicate our results with the research community. Our list of breast cancer-specific ncRNA genes has the potential to provide a better understanding of the underlying genetic causes of breast cancer. Lastly, the tool developed in this study can be used to analyze somatic mutations in all cancers. The SomaGene tool is developed to identify non-coding RNAs (ncRNAs) mutated in breast cancer but can be used for other cancers. Candidate ncRNAs are shown to be enriched for regulatory features and to contain specific trait loci polymorphisms.
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Affiliation(s)
- Narges Rezaie
- Center for Complex Biological Systems, University of California Irvine, Irvine, CA, 92697, USA
| | - Masroor Bayati
- Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, 11365, Iran
| | - Mehrab Hamidi
- Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, 11365, Iran
| | - Maedeh Sadat Tahaei
- Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, 11365, Iran
| | - Sadegh Khorasani
- Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, 11365, Iran
| | - Nigel H Lovell
- Tyree Institute of Health Engineering and The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia
| | - James Breen
- South Australian Health & Medical Research Institute, Adelaide, SA, 5000, Australia.,Robinson Research Institute, University of Adelaide, Adelaide, SA, 5006, Australia.,Bioinformatics Hub, University of Adelaide, Adelaide, SA, 5006, Australia
| | - Hamid R Rabiee
- Bioinformatics and Computational Biology Lab, Department of Computer Engineering, Sharif University of Technology, Tehran, 11365, Iran.
| | - Hamid Alinejad-Rokny
- BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia. .,UNSW Data Science Hub, The University of New South Wales (UNSW Sydney), Sydney, NSW, 2052, Australia. .,Health Data Analytics Program, AI-enabled Processes (AIP) Research Centre, Macquarie University, Sydney, NSW, 2109, Australia.
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24
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Ngubo M, Reid JL, Patterton H. Distinct structural groups of histone H3 and H4 residues have divergent effects on chronological lifespan in Saccharomyces cerevisiae. PLoS One 2022; 17:e0268760. [PMID: 35622816 PMCID: PMC9140238 DOI: 10.1371/journal.pone.0268760] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 05/06/2022] [Indexed: 11/19/2022] Open
Abstract
We have performed a comprehensive analysis of the involvement of histone H3 and H4 residues in the regulation of chronological lifespan in yeast and identify four structural groups in the nucleosome that influence lifespan. We also identify residues where substitution with an epigenetic mimic extends lifespan, providing evidence that a simple epigenetic switch, without possible additional background modifications, causes longevity. Residues where substitution result in the most pronounced lifespan extension are all on the exposed face of the nucleosome, with the exception of H3E50, which is present on the lateral surface, between two DNA gyres. Other residues that have a more modest effect on lifespan extension are concentrated at the extremities of the H3-H4 dimer, suggesting a role in stabilizing the dimer in its nucleosome frame. Residues that reduce lifespan are buried in the histone handshake motif, suggesting that these mutations destabilize the octamer structure. All residues exposed on the nucleosome disk face and that cause lifespan extension are known to interact with Sir3. We find that substitution of H4K16 and H4H18 cause Sir3 to redistribute from telomeres and silent mating loci to secondary positions, often enriched for Rap1, Abf1 or Reb1 binding sites, whereas H3E50 does not. The redistribution of Sir3 in the genome can be reproduced by an equilibrium model based on primary and secondary binding sites with different affinities for Sir3. The redistributed Sir3 cause transcriptional repression at most of the new loci, including of genes where null mutants were previously shown to extend chronological lifespan. The transcriptomic profiles of H4K16 and H4H18 mutant strains are very similar, and compatible with a DNA replication stress response. This is distinct from the transcriptomic profile of H3E50, which matches strong induction of oxidative phosphorylation. We propose that the different groups of residues are involved in binding to heterochromatin proteins, in destabilizing the association of the nucleosome DNA, disrupting binding of the H3-H4 dimer in the nucleosome, or disrupting the structural stability of the octamer, each category impacting on chronological lifespan by a different mechanism.
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Affiliation(s)
- Mzwanele Ngubo
- Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, South Africa
| | - Jessica Laura Reid
- Department of Biochemistry, Stellenbosch University, Stellenbosch, South Africa
| | - Hugh–George Patterton
- Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, South Africa
- Department of Biochemistry, Stellenbosch University, Stellenbosch, South Africa
- * E-mail:
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25
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Sun W, Zhang T, Hu S, Tang Q, Long X, Yang X, Gun S, Chen L. Chromatin accessibility landscape of stromal subpopulations reveals distinct metabolic and inflammatory features of porcine subcutaneous and visceral adipose tissue. PeerJ 2022; 10:e13250. [PMID: 35646489 PMCID: PMC9138157 DOI: 10.7717/peerj.13250] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 03/21/2022] [Indexed: 01/13/2023] Open
Abstract
Background Fat accumulation in visceral adipose tissue (VAT) confers increased risk for metabolic disorders of obesity, whereas accumulation of subcutaneous adipose tissue (SAT) is associated with lower risk and may be protective. Previous studies have shed light on the gene expression profile differences between SAT and VAT; however, the chromatin accessibility landscape differences and how the cis-regulatory elements govern gene expression changes between SAT and VAT are unknown. Methods Pig were used to characterize the differences in chromatin accessibility between the two adipose depots-derived stromal vascular fractions (SVFs) using DNase-sequencing (DNase-seq). Using integrated data from DNase-seq, H3K27ac ChIP-sequencing (ChIP-seq), and RNA-sequencing (RNA-seq), we investigated how the regulatory locus complexity regulated gene expression changes between SAT and VAT and the possible impact that these changes may have on the different biological functions of these two adipose depots. Results SVFs form SAT and VAT (S-SVF and V-SVF) have differential chromatin accessibility landscapes. The differential DNase I hypersensitive site (DHS)-associated genes, which indicate dynamic chromatin accessibility, were mainly involved in metabolic processes and inflammatory responses. Additionally, the Krüppel-like factor family of transcription factors were enriched in the differential DHSs. Furthermore, the chromatin accessibility data were highly associated with differential gene expression as indicated using H3K27ac ChIP-seq and RNA-seq data, supporting the validity of the differential gene expression determined using DNase-seq. Moreover, by combining epigenetic and transcriptomic data, we identified two candidate genes, NR1D1 and CRYM, could be crucial to regulate distinct metabolic and inflammatory characteristics between SAT and VAT. Together, these results uncovered differences in the transcription regulatory network and enriched the mechanistic understanding of the different biological functions between SAT and VAT.
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Affiliation(s)
- Wenyang Sun
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China,Key Laboratory of Pig Industry Sciences (Ministry of Agriculture), Chongqing Academy of Animal Science, Chongqing, China
| | - Tinghuan Zhang
- Key Laboratory of Pig Industry Sciences (Ministry of Agriculture), Chongqing Academy of Animal Science, Chongqing, China
| | - Silu Hu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xi Long
- Key Laboratory of Pig Industry Sciences (Ministry of Agriculture), Chongqing Academy of Animal Science, Chongqing, China
| | - Xu Yang
- College of Nursing, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Shuangbao Gun
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Lei Chen
- Key Laboratory of Pig Industry Sciences (Ministry of Agriculture), Chongqing Academy of Animal Science, Chongqing, China
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26
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Genome-wide analysis of cis-regulatory changes underlying metabolic adaptation of cavefish. Nat Genet 2022; 54:684-693. [PMID: 35551306 DOI: 10.1038/s41588-022-01049-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 03/09/2022] [Indexed: 12/13/2022]
Abstract
Cis-regulatory changes are key drivers of adaptative evolution. However, their contribution to the metabolic adaptation of organisms is not well understood. Here, we used a unique vertebrate model, Astyanax mexicanus-different morphotypes of which survive in nutrient-rich surface and nutrient-deprived cave waters-to uncover gene regulatory networks underlying metabolic adaptation. We performed genome-wide epigenetic profiling in the liver tissues of Astyanax and found that many of the identified cis-regulatory elements (CREs) have genetically diverged and have differential chromatin features between surface and cave morphotypes, while retaining remarkably similar regulatory signatures between independently derived cave populations. One such CRE in the hpdb gene harbors a genomic deletion in cavefish that abolishes IRF2 repressor binding and derepresses enhancer activity in reporter assays. Selection of this mutation in multiple independent cave populations supports its importance in cave adaptation, and provides novel molecular insights into the evolutionary trade-off between loss of pigmentation and adaptation to food-deprived caves.
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Brandstetter K, Zülske T, Ragoczy T, Hörl D, Guirao-Ortiz M, Steinek C, Barnes T, Stumberger G, Schwach J, Haugen E, Rynes E, Korber P, Stamatoyannopoulos JA, Leonhardt H, Wedemann G, Harz H. Differences in nanoscale organization of regulatory active and inactive human chromatin. Biophys J 2022; 121:977-990. [PMID: 35150617 PMCID: PMC8943813 DOI: 10.1016/j.bpj.2022.02.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 12/11/2021] [Accepted: 02/07/2022] [Indexed: 11/25/2022] Open
Abstract
Methodological advances in conformation capture techniques have fundamentally changed our understanding of chromatin architecture. However, the nanoscale organization of chromatin and its cell-to-cell variance are less studied. Analyzing genome-wide data from 733 human cell and tissue samples, we identified 2 prototypical regions that exhibit high or absent hypersensitivity to deoxyribonuclease I, respectively. These regulatory active or inactive regions were examined in the lymphoblast cell line K562 by using high-throughput super-resolution microscopy. In both regions, we systematically measured the physical distance of 2 fluorescence in situ hybridization spots spaced by only 5 kb of DNA. Unexpectedly, the resulting distance distributions range from very compact to almost elongated configurations of more than 200-nm length for both the active and inactive regions. Monte Carlo simulations of a coarse-grained model of these chromatin regions based on published data of nucleosome occupancy in K562 cells were performed to understand the underlying mechanisms. There was no parameter set for the simulation model that can explain the microscopically measured distance distributions. Obviously, the chromatin state given by the strength of internucleosomal interaction, nucleosome occupancy, or amount of histone H1 differs from cell to cell, which results in the observed broad distance distributions. This large variability was not expected, especially in inactive regions. The results for the mechanisms for different distance distributions on this scale are important for understanding the contacts that mediate gene regulation. Microscopic measurements show that the inactive region investigated here is expected to be embedded in a more compact chromatin environment. The simulation results of this region require an increase in the strength of internucleosomal interactions. It may be speculated that the higher density of chromatin is caused by the increased internucleosomal interaction strength.
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Affiliation(s)
- Katharina Brandstetter
- Human Biology & BioImaging, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Tilo Zülske
- Competence Center Bioinformatics, Institute for Applied Computer Science, Hochschule Stralsund, Stralsund, Germany
| | - Tobias Ragoczy
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - David Hörl
- Human Biology & BioImaging, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Miguel Guirao-Ortiz
- Human Biology & BioImaging, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Clemens Steinek
- Human Biology & BioImaging, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Toby Barnes
- Biomedical Center (BMC), Molecular Biology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Martinsried, Germany
| | - Gabriela Stumberger
- Human Biology & BioImaging, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Jonathan Schwach
- Human Biology & BioImaging, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Eric Haugen
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Eric Rynes
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Philipp Korber
- Biomedical Center (BMC), Molecular Biology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Martinsried, Germany
| | - John A Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, Washington; Department of Genome Sciences, University of Washington, Seattle, Washington; Department of Medicine, Division of Oncology, University of Washington, Seattle, Washington
| | - Heinrich Leonhardt
- Human Biology & BioImaging, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Gero Wedemann
- Competence Center Bioinformatics, Institute for Applied Computer Science, Hochschule Stralsund, Stralsund, Germany.
| | - Hartmann Harz
- Human Biology & BioImaging, Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.
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28
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Raina K, Rao BJ. Mammalian nuclear speckles exhibit stable association with chromatin: a biochemical study. Nucleus 2022; 13:58-73. [PMID: 35220893 PMCID: PMC8890396 DOI: 10.1080/19491034.2021.2024948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Nuclear Speckles (NS) are phase-separated condensates of protein and RNA whose components dynamically coordinate RNA transcription, splicing, transport and DNA repair. NS, probed largely by imaging studies, remained historically well known as Interchromatin Granule Clusters, and biochemical properties, especially their association with Chromatin have been largely unexplored. In this study, we tested whether NS exhibit any stable association with chromatin and show that limited DNAse-1 nicking of chromatin leads to the collapse of NS into isotropic distribution or aggregates of constituent proteins without affecting other nuclear structures. Further biochemical probing revealed that NS proteins were tightly associated with chromatin, extractable only by high-salt treatment just like histone proteins. NS were also co-released with solubilised mono-dinucleosomal chromatin fraction following the MNase digestion of chromatin. We propose a model that NS-chromatin constitutes a “putative stable association” whose coupling might be subject to the combined regulation from both chromatin and NS changes. Abbreviations: NS: Nuclear speckles; DSB: double strand breaks; PTM: posttranslational modifications; DDR: DNA damage repair; RBP-RNA binding proteins; TAD: topologically associated domains; LCR: low complexity regions; IDR: intrinsically disordered regions.
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Affiliation(s)
- Komal Raina
- Department of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, India
- Department of Biology, Indian Institute of Science Education and Research (Iiser) Tirupati, Transit Campus: Sree Rama Engineering College, Tirupati, India
| | - Basuthkar J Rao
- Department of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, India
- Department of Biology, Indian Institute of Science Education and Research (Iiser) Tirupati, Transit Campus: Sree Rama Engineering College, Tirupati, India
- Department of Animal Biology, University of Hyderabad, Hyderabad, India
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29
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Yocca AE, Edger PP. Current status and future perspectives on the evolution of cis-regulatory elements in plants. CURRENT OPINION IN PLANT BIOLOGY 2022; 65:102139. [PMID: 34837823 DOI: 10.1016/j.pbi.2021.102139] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/20/2021] [Accepted: 10/06/2021] [Indexed: 06/13/2023]
Abstract
Cis-regulatory elements (CREs) are short stretches (∼5-15 base pairs) of DNA capable of being bound by a transcription factor and influencing the expression of nearby genes. These regions are of great interest to anyone studying the relationship between phenotype and genotype as these sequences often dictate genes' spatio-temporal expression. Indeed, several associative signals between genotype and phenotype are known to lie outside of protein-coding regions. Therefore, a key to understand evolutionary biology requires their characterization in current and future genome assemblies. In this review, we cover some recent examples of how CRE variation contributes to phenotypic evolution, discuss evidence for the selective pressures experienced by non-coding regions of the genome, and consider several studies on accessible chromatin regions in plants and what they can tell us about CREs. Finally, we discuss how current advances in sequencing technologies will improve our knowledge of CRE variation.
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Affiliation(s)
- Alan E Yocca
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA; Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA; Genetics and Genome Sciences Program, Michigan State University, East Lansing, MI, 48824, USA.
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30
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Wang X, Chen C, He C, Chen D, Yan W. Mapping open chromatin by ATAC-seq in bread wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:1074873. [PMID: 36466281 PMCID: PMC9709403 DOI: 10.3389/fpls.2022.1074873] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 10/31/2022] [Indexed: 05/14/2023]
Abstract
Gene transcription is largely regulated by cis-regulatory elements. Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) is an emerging technology that can accurately map cis-regulatory elements in animals and plants. However, the presence of cell walls and chloroplasts in plants hinders the extraction of high-quality nuclei, thereby affects the quality of ATAC-seq data. Meanwhile, it is tricky to perform ATAC-seq with different tissue types, especially for those with limited size and amount. Moreover, with rapid growth of ATAC-seq datasets from plants, powerful and easy-to-use data analysis pipelines for ATAC-seq, especially for wheat is lacking. Here, we provided an all-in-one solution for mapping open chromatin in wheat including both experimental and data analysis procedure. We efficiently obtained nuclei with less cell debris from various wheat tissues. High-quality ATAC-seq data from young spike and ovary, which are hard to harvest were generated. We determined that the saturation sequencing depth of wheat ATAC-seq is about 16 Gb. Particularly, we developed a powerful and easy-to-use online pipeline to analyze the wheat ATAC-seq data and this pipeline can be easily extended to other plant species. The method developed here will facilitate plant regulatory genome study not only for wheat but also for other plant species.
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Affiliation(s)
- Xin Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Chuanye Chen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Chao He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
- *Correspondence: Chao He, ; Wenhao Yan,
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
| | - Wenhao Yan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
- *Correspondence: Chao He, ; Wenhao Yan,
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31
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iDHS-DT: Identifying DNase I hypersensitive sites by integrating DNA dinucleotide and trinucleotide information. Biophys Chem 2021; 281:106717. [PMID: 34798459 DOI: 10.1016/j.bpc.2021.106717] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/10/2021] [Accepted: 11/10/2021] [Indexed: 01/02/2023]
Abstract
DNase I hypersensitive sites (DHSs) is important for identifying the location of gene regulatory elements, such as promoters, enhancers, silencers, and so on. Thus, it is crucial for discriminating DHSs from non-DHSs. Although some traditional methods, such as Southern blots and DNase-seq technique, have the ability to identify DHSs, these approaches are time-consuming, laborious, and expensive. To address these issues, researchers paid their attention on computational approaches. Therefore, in this study, we developed a novel predictor called iDHS-DT to identify DHSs. In this predictor, the DNA sequences were firstly denoted by physicochemical properties (PC) of DNA dinucleotide and trinucleotide. Then, three different descriptors, including auto-covariance, cross-covariance, and discrete wavelet transform were used to collect related features from the PC matrix. Next, the least absolute shrinkage and selection operator (LASSO) algorithm was employed to remove these irrelevant and redundant features. Finally, these selected features were fed into support vector machine (SVM) for distinguishing DHSs from non-DHSs. The proposed method achieved 97.64% and 98.22% classification accuracy on dataset S1 and S2, respectively. Compared with the existing predictors, our proposed model has significantly improvement in classification performance. Experimental results demonstrated that the proposed method is powerful in identifying DHSs.
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Barrera J, Song L, Gamache JE, Garrett ME, Safi A, Yun Y, Premasinghe I, Sprague D, Chipman D, Li J, Fradin H, Soldano K, Gordân R, Ashley-Koch AE, Crawford GE, Chiba-Falek O. Sex dependent glial-specific changes in the chromatin accessibility landscape in late-onset Alzheimer's disease brains. Mol Neurodegener 2021; 16:58. [PMID: 34429139 PMCID: PMC8383438 DOI: 10.1186/s13024-021-00481-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 08/11/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND In the post-GWAS era, there is an unmet need to decode the underpinning genetic etiologies of late-onset Alzheimer's disease (LOAD) and translate the associations to causation. METHODS We conducted ATAC-seq profiling using NeuN sorted-nuclei from 40 frozen brain tissues to determine LOAD-specific changes in chromatin accessibility landscape in a cell-type specific manner. RESULTS We identified 211 LOAD-specific differential chromatin accessibility sites in neuronal-nuclei, four of which overlapped with LOAD-GWAS regions (±100 kb of SNP). While the non-neuronal nuclei did not show LOAD-specific differences, stratification by sex identified 842 LOAD-specific chromatin accessibility sites in females. Seven of these sex-dependent sites in the non-neuronal samples overlapped LOAD-GWAS regions including APOE. LOAD loci were functionally validated using single-nuclei RNA-seq datasets. CONCLUSIONS Using brain sorted-nuclei enabled the identification of sex-dependent cell type-specific LOAD alterations in chromatin structure. These findings enhance the interpretation of LOAD-GWAS discoveries, provide potential pathomechanisms, and suggest novel LOAD-loci.
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Affiliation(s)
- Julio Barrera
- Department of Neurology, Division of Translational Brain Sciences, Duke University Medical Center, DUMC, Box 2900, Durham, NC 27710 USA
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Lingyun Song
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Julia E. Gamache
- Department of Neurology, Division of Translational Brain Sciences, Duke University Medical Center, DUMC, Box 2900, Durham, NC 27710 USA
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Melanie E. Garrett
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701 USA
| | - Alexias Safi
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Young Yun
- Department of Neurology, Division of Translational Brain Sciences, Duke University Medical Center, DUMC, Box 2900, Durham, NC 27710 USA
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Ivana Premasinghe
- Department of Neurology, Division of Translational Brain Sciences, Duke University Medical Center, DUMC, Box 2900, Durham, NC 27710 USA
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Daniel Sprague
- Department of Neurology, Division of Translational Brain Sciences, Duke University Medical Center, DUMC, Box 2900, Durham, NC 27710 USA
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Danielle Chipman
- Department of Neurology, Division of Translational Brain Sciences, Duke University Medical Center, DUMC, Box 2900, Durham, NC 27710 USA
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Jeffrey Li
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Hélène Fradin
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
| | - Karen Soldano
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701 USA
| | - Raluca Gordân
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC 27705 USA
- Department of Computer Science, Duke University, Durham, NC 27705 USA
| | - Allison E. Ashley-Koch
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701 USA
- Department of Medicine, Duke University Medical Center, DUMC, Box 104775, Durham, NC 27708 USA
| | - Gregory E. Crawford
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
- Department of Pediatrics, Division of Medical Genetics, Duke University Medical Center, DUMC, Box 3382, Durham, NC 27708 USA
- Center for Advanced Genomic Technologies, Duke University Medical Center, Durham, NC 27708 USA
| | - Ornit Chiba-Falek
- Department of Neurology, Division of Translational Brain Sciences, Duke University Medical Center, DUMC, Box 2900, Durham, NC 27710 USA
- Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC 27708 USA
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Abstract
Leishmania donovani is a parasitic protist that causes the lethal Kala-azar fever in India and East Africa. Gene expression in Leishmania is regulated by gene copy number variation and inducible translation while RNA synthesis initiates at a small number of sites per chromosome and proceeds through polycistronic transcription units, precluding a gene-specific regulation (C. Clayton and M. Shapira, Mol Biochem Parasitol 156:93–101, 2007, https://doi.org/10.1016/j.molbiopara.2007.07.007). Here, we analyze the dynamics of chromatin structure in both life cycle stages of the parasite and find evidence for an additional, epigenetic gene regulation pathway in this early branching eukaryote. The assay for transposase-accessible chromatin using sequencing (ATAC-seq) analysis (J. D. Buenrostro, P. G. Giresi, L. C. Zaba, H. Y. Chang, and W. J. Greenleaf, Nat Methods 10:1213–1218, 2013, https://doi.org/10.1038/nmeth.2688) predominantly shows euchromatin at transcription start regions in fast-growing promastigotes, but mostly heterochromatin in the slowly proliferating amastigotes, the mammalian stage, reflecting a previously shown increase of histone synthesis in the latter stage. IMPORTANCELeishmania parasites are important pathogens with a global impact and cause poverty-related illness and death. They are devoid of classic cis- and trans-acting transcription regulators but use regulated translation and gene copy number variations to adapt to hosts and environments. In this work, we show that transcription start regions present as open euchromatin in fast-growing insect stages but as less-accessible heterochromatin in the slowly proliferating amastigote stage, indicating an epigenetic control of gene accessibility in this early branching eukaryotic pathogen. This finding should stimulate renewed interest in the control of RNA synthesis in Leishmania and related parasites.
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Epigenetic Mechanisms of HIV-1 Persistence. Vaccines (Basel) 2021; 9:vaccines9050514. [PMID: 34067608 PMCID: PMC8156729 DOI: 10.3390/vaccines9050514] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/01/2021] [Accepted: 05/11/2021] [Indexed: 12/14/2022] Open
Abstract
Eradicating HIV-1 in infected individuals will not be possible without addressing the persistence of the virus in its multiple reservoirs. In this context, the molecular characterization of HIV-1 persistence is key for the development of rationalized therapeutic interventions. HIV-1 gene expression relies on the redundant and cooperative recruitment of cellular epigenetic machineries to cis-regulatory proviral regions. Furthermore, the complex repertoire of HIV-1 repression mechanisms varies depending on the nature of the viral reservoir, although, so far, few studies have addressed the specific regulatory mechanisms of HIV-1 persistence in other reservoirs than the well-studied latently infected CD4+ T cells. Here, we present an exhaustive and updated picture of the heterochromatinization of the HIV-1 promoter in its different reservoirs. We highlight the complexity, heterogeneity and dynamics of the epigenetic mechanisms of HIV-1 persistence, while discussing the importance of further understanding HIV-1 gene regulation for the rational design of novel HIV-1 cure strategies.
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Yue J, Hou X, Liu X, Wang L, Gao H, Zhao F, Shi L, Shi L, Yan H, Deng T, Gong J, Wang L, Zhang L. The landscape of chromatin accessibility in skeletal muscle during embryonic development in pigs. J Anim Sci Biotechnol 2021; 12:56. [PMID: 33934724 PMCID: PMC8091695 DOI: 10.1186/s40104-021-00577-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 03/01/2021] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND The development of skeletal muscle in pigs during the embryonic stage is precisely regulated by transcriptional mechanisms, which depend on chromatin accessibility. However, how chromatin accessibility plays a regulatory role during embryonic skeletal muscle development in pigs has not been reported. To gain insight into the landscape of chromatin accessibility and the associated genome-wide transcriptome during embryonic muscle development, we performed ATAC-seq and RNA-seq analyses of skeletal muscle from pig embryos at 45, 70 and 100 days post coitus (dpc). RESULTS In total, 21,638, 35,447 and 60,181 unique regions (or peaks) were found across the embryos at 45 dpc (LW45), 70 dpc (LW70) and 100 dpc (LW100), respectively. More than 91% of the peaks were annotated within - 1 kb to 100 bp of transcription start sites (TSSs). First, widespread increases in specific accessible chromatin regions (ACRs) from embryos at 45 to 100 dpc suggested that the regulatory mechanisms became increasingly complicated during embryonic development. Second, the findings from integrated ATAC-seq and RNA-seq analyses showed that not only the numbers but also the intensities of ACRs could control the expression of associated genes. Moreover, the motif screening of stage-specific ACRs revealed some transcription factors that regulate muscle development-related genes, such as MyoG, Mef2c, and Mef2d. Several potential transcriptional repressors, including E2F6, OTX2 and CTCF, were identified among the genes that exhibited different regulation trends between the ATAC-seq and RNA-seq data. CONCLUSIONS This work indicates that chromatin accessibility plays an important regulatory role in the embryonic muscle development of pigs and regulates the temporal and spatial expression patterns of key genes in muscle development by influencing the binding of transcription factors. Our results contribute to a better understanding of the regulatory dynamics of genes involved in pig embryonic skeletal muscle development.
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Affiliation(s)
- Jingwei Yue
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xinhua Hou
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xin Liu
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Ligang Wang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Hongmei Gao
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Fuping Zhao
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Lijun Shi
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Liangyu Shi
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Hua Yan
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Tianyu Deng
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Jianfei Gong
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Lixian Wang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
| | - Longchao Zhang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
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Panigrahi A, O'Malley BW. Mechanisms of enhancer action: the known and the unknown. Genome Biol 2021; 22:108. [PMID: 33858480 PMCID: PMC8051032 DOI: 10.1186/s13059-021-02322-1] [Citation(s) in RCA: 128] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 03/23/2021] [Indexed: 12/13/2022] Open
Abstract
Differential gene expression mechanisms ensure cellular differentiation and plasticity to shape ontogenetic and phylogenetic diversity of cell types. A key regulator of differential gene expression programs are the enhancers, the gene-distal cis-regulatory sequences that govern spatiotemporal and quantitative expression dynamics of target genes. Enhancers are widely believed to physically contact the target promoters to effect transcriptional activation. However, our understanding of the full complement of regulatory proteins and the definitive mechanics of enhancer action is incomplete. Here, we review recent findings to present some emerging concepts on enhancer action and also outline a set of outstanding questions.
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Affiliation(s)
- Anil Panigrahi
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
| | - Bert W O'Malley
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA.
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Collobert M, Bocher O, Le Nabec A, Génin E, Férec C, Moisan S. CFTR Cooperative Cis-Regulatory Elements in Intestinal Cells. Int J Mol Sci 2021; 22:ijms22052599. [PMID: 33807548 PMCID: PMC7961337 DOI: 10.3390/ijms22052599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 02/25/2021] [Accepted: 02/27/2021] [Indexed: 11/16/2022] Open
Abstract
About 8% of the human genome is covered with candidate cis-regulatory elements (cCREs). Disruptions of CREs, described as "cis-ruptions" have been identified as being involved in various genetic diseases. Thanks to the development of chromatin conformation study techniques, several long-range cystic fibrosis transmembrane conductance regulator (CFTR) regulatory elements were identified, but the regulatory mechanisms of the CFTR gene have yet to be fully elucidated. The aim of this work is to improve our knowledge of the CFTR gene regulation, and to identity factors that could impact the CFTR gene expression, and potentially account for the variability of the clinical presentation of cystic fibrosis as well as CFTR-related disorders. Here, we apply the robust GWAS3D score to determine which of the CFTR introns could be involved in gene regulation. This approach highlights four particular CFTR introns of interest. Using reporter gene constructs in intestinal cells, we show that two new introns display strong cooperative effects in intestinal cells. Chromatin immunoprecipitation analyses further demonstrate fixation of transcription factors network. These results provide new insights into our understanding of the CFTR gene regulation and allow us to suggest a 3D CFTR locus structure in intestinal cells. A better understand of regulation mechanisms of the CFTR gene could elucidate cases of patients where the phenotype is not yet explained by the genotype. This would thus help in better diagnosis and therefore better management. These cis-acting regions may be a therapeutic challenge that could lead to the development of specific molecules capable of modulating gene expression in the future.
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Affiliation(s)
- Mégane Collobert
- Univ. Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France; (O.B.); (A.L.N.); (E.G.); (C.F.)
- Correspondence: (M.C.); (S.M.); Tel.: +33-298-0165-67 (M.C.)
| | - Ozvan Bocher
- Univ. Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France; (O.B.); (A.L.N.); (E.G.); (C.F.)
| | - Anaïs Le Nabec
- Univ. Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France; (O.B.); (A.L.N.); (E.G.); (C.F.)
| | - Emmanuelle Génin
- Univ. Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France; (O.B.); (A.L.N.); (E.G.); (C.F.)
| | - Claude Férec
- Univ. Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France; (O.B.); (A.L.N.); (E.G.); (C.F.)
- Department of Molecular Genetics and Reproduction Biology, CHRU Brest, F-29200 Brest, France
| | - Stéphanie Moisan
- Univ. Brest, Inserm, EFS, UMR 1078, GGB, F-29200 Brest, France; (O.B.); (A.L.N.); (E.G.); (C.F.)
- Department of Molecular Genetics and Reproduction Biology, CHRU Brest, F-29200 Brest, France
- Correspondence: (M.C.); (S.M.); Tel.: +33-298-0165-67 (M.C.)
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Chetverina D, Erokhin M, Schedl P. GAGA factor: a multifunctional pioneering chromatin protein. Cell Mol Life Sci 2021; 78:4125-4141. [PMID: 33528710 DOI: 10.1007/s00018-021-03776-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 12/08/2020] [Accepted: 01/19/2021] [Indexed: 12/27/2022]
Abstract
The Drosophila GAGA factor (GAF) is a multifunctional protein implicated in nucleosome organization and remodeling, activation and repression of gene expression, long distance enhancer-promoter communication, higher order chromosome structure, and mitosis. This broad range of activities poses questions about how a single protein can perform so many seemingly different and unrelated functions. Current studies argue that GAF acts as a "pioneer" factor, generating nucleosome-free regions of chromatin for different classes of regulatory elements. The removal of nucleosomes from regulatory elements in turn enables other factors to bind to these elements and carry out their specialized functions. Consistent with this view, GAF associates with a collection of chromatin remodelers and also interacts with proteins implicated in different regulatory functions. In this review, we summarize the known activities of GAF and the functions of its protein partners.
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Affiliation(s)
- Darya Chetverina
- Group of Epigenetics, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., Moscow, 119334, Russia.
| | - Maksim Erokhin
- Group of Chromatin Biology, Institute of Gene Biology, Russian Academy of Sciences, 34/5 Vavilov St., Moscow, 119334, Russia
| | - Paul Schedl
- Department of Molecular Biology, Princeton University, Princeton, NJ, 08544, USA.
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Uesaka M, Kuratani S, Irie N. The developmental hourglass model and recapitulation: An attempt to integrate the two models. JOURNAL OF EXPERIMENTAL ZOOLOGY PART B-MOLECULAR AND DEVELOPMENTAL EVOLUTION 2021; 338:76-86. [PMID: 33503326 PMCID: PMC9292893 DOI: 10.1002/jez.b.23027] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 01/03/2021] [Accepted: 01/04/2021] [Indexed: 12/18/2022]
Abstract
Recapitulation is a hypothetical concept that assumes embryogenesis of an animal parallels its own phylogenetic history, sequentially developing from more ancestral features to more derived ones. This concept predicts that the earliest developmental stage of various animals should represent the most evolutionarily conserved patterns. Recent transcriptome‐based studies, on the other hand, have reported that mid‐embryonic, organogenetic periods show the highest level of conservation (the developmental hourglass model). This, however, does not rule out the possibility that recapitulation would still be detected after the mid‐embryonic period. In accordance with this, recapitulation‐like morphological features are enriched in late developmental stages. Moreover, our recent chromatin accessibility‐based study provided molecular evidence for recapitulation in the mid‐to‐late embryogenesis of vertebrates, as newly evolved gene regulatory elements tended to be activated at late embryonic stages. In this review, we revisit the recapitulation hypothesis, together with recent molecular‐based studies that support the developmental hourglass model. We contend that the recapitulation hypothesis does not entirely contradict the developmental hourglass model and that these two may even coexist in later embryonic stages of vertebrates. Finally, we review possible mechanisms underlying the recapitulation pattern of chromatin accessibility together with the hourglass‐like evolutionary conservation in vertebrate embryogenesis. Recapitulation pattern has been reported for chromatin accessibility during the mid‐to‐late embryogenesis. The observed recapitulation pattern and the developmental hourglass model may coexist. The possible evolutionary mechanisms underlying tendencies of embryonic evolution were discussed.
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Affiliation(s)
- Masahiro Uesaka
- Laboratory for Evolutionary Morphology, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan
| | - Shigeru Kuratani
- Laboratory for Evolutionary Morphology, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.,Laboratory for Evolutionary Morphology, RIKEN Cluster for Pioneering Research, Kobe, Japan
| | - Naoki Irie
- Department of Biological Sciences, The University of Tokyo, Tokyo, Japan.,Universal Biology Institute, The University of Tokyo, Tokyo, Japan
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40
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Zhang S, Duan Z, Yang W, Qian C, You Y. iDHS-DASTS: identifying DNase I hypersensitive sites based on LASSO and stacking learning. Mol Omics 2021; 17:130-141. [PMID: 33295914 DOI: 10.1039/d0mo00115e] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The DNase I hypersensitivity site is an important marker of the DNA regulatory region, and its identification in the DNA sequence is of great significance for biomedical research. However, traditional identification methods are extremely time-consuming and can not obtain an accurate result. In this paper, we proposed a predictor called iDHS-DASTS to identify the DHS based on benchmark datasets. First, we adopt a feature extraction method called PseDNC which can incorporate the original DNA properties and spatial information of the DNA sequence. Then we use a method called LASSO to reduce the dimensions of the original data. Finally, we utilize stacking learning as a classifier, which includes Adaboost, random forest, gradient boosting, extra trees and SVM. Before we train the classifier, we use SMOTE-Tomek to overcome the imbalance of the datasets. In the experiment, our iDHS-DASTS achieves remarkable performance on three benchmark datasets. We achieve state-of-the-art results with over 92.06%, 91.06% and 90.72% accuracy for datasets [Doublestruck S]1, [Doublestruck S]2 and [Doublestruck S]3, respectively. To verify the validation and transferability of our model, we establish another independent dataset [Doublestruck S]4, for which the accuracy can reach 90.31%. Furthermore, we used the proposed model to construct a user friendly web server called iDHS-DASTS, which is available at http://www.xdu-duan.cn/.
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Affiliation(s)
- Shengli Zhang
- School of Mathematics and Statistics, Xidian University, Xi'an 710071, P. R. China.
| | - Zhengpeng Duan
- School of Electronic Enginnering, Xidian University, Xi'an 710071, P. R. China
| | - Wenhao Yang
- School of Electronic Enginnering, Xidian University, Xi'an 710071, P. R. China
| | - Chenlai Qian
- School of Electronic Enginnering, Xidian University, Xi'an 710071, P. R. China
| | - Yiwei You
- International Business School, Shanghai University of International Business and Economics, Shanghai, 201620, P. R. China
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41
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Liu B, Xu Q, Wang Q, Feng S, Lai F, Wang P, Zheng F, Xiang Y, Wu J, Nie J, Qiu C, Xia W, Li L, Yu G, Lin Z, Xu K, Xiong Z, Kong F, Liu L, Huang C, Yu Y, Na J, Xie W. The landscape of RNA Pol II binding reveals a stepwise transition during ZGA. Nature 2020; 587:139-144. [PMID: 33116310 DOI: 10.1038/s41586-020-2847-y] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 08/04/2020] [Indexed: 12/22/2022]
Abstract
Zygotic genome activation (ZGA) is the first transcription event in life1. However, it is unclear how RNA polymerase is engaged in initiating ZGA in mammals. Here, by developing small-scale Tn5-assisted chromatin cleavage with sequencing (Stacc-seq), we investigated the landscapes of RNA polymerase II (Pol II) binding in mouse embryos. We found that Pol II undergoes 'loading', 'pre-configuration', and 'production' during the transition from minor ZGA to major ZGA. After fertilization, Pol II is preferentially loaded to CG-rich promoters and accessible distal regions in one-cell embryos (loading), in part shaped by the inherited parental epigenome. Pol II then initiates relocation to future gene targets before genome activation (pre-configuration), where it later engages in full transcription elongation upon major ZGA (production). Pol II also maintains low poising at inactive promoters after major ZGA until the blastocyst stage, coinciding with the loss of promoter epigenetic silencing factors. Notably, inhibition of minor ZGA impairs the Pol II pre-configuration and embryonic development, accompanied by aberrant retention of Pol II and ectopic expression of one-cell targets upon major ZGA. Hence, stepwise transition of Pol II occurs when mammalian life begins, and minor ZGA has a key role in the pre-configuration of transcription machinery and chromatin for genome activation.
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Affiliation(s)
- Bofeng Liu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Qianhua Xu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Qiujun Wang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Su Feng
- R&D Department, Vazyme Biotech Co., Ltd, Nanjing, China
| | - Fangnong Lai
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Peizhe Wang
- Center for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing, China
| | | | - Yunlong Xiang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Jingyi Wu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China.,Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Junwei Nie
- R&D Department, Vazyme Biotech Co., Ltd, Nanjing, China
| | - Cui Qiu
- R&D Department, Vazyme Biotech Co., Ltd, Nanjing, China
| | - Weikun Xia
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Lijia Li
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Guang Yu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Zili Lin
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Kai Xu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Zhuqing Xiong
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Feng Kong
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Ling Liu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Chunyi Huang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.,Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Yang Yu
- Key Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Jie Na
- Center for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing, China
| | - Wei Xie
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China. .,Tsinghua-Peking Center for Life Sciences, Beijing, China.
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42
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Haddad-Mashadrizeh A, Hemmat J, Aslamkhan M. Intronic regions of the human coagulation factor VIII gene harboring transcription factor binding sites with a strong bias towards the short-interspersed elements. Heliyon 2020; 6:e04727. [PMID: 32944665 PMCID: PMC7481535 DOI: 10.1016/j.heliyon.2020.e04727] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 09/03/2019] [Accepted: 08/10/2020] [Indexed: 12/12/2022] Open
Abstract
Increasing data show that intronic derived regulatory elements, such as transcription factor binding sites (TFBs), play key roles in gene regulation, and malfunction. Accordingly, characterizing the sequence context of the intronic regions of the human coagulation factor VIII (hFVIII) gene can be important. In this study, the intronic regions of the hFVIII gene were scrutinized based on in-silico methods. The results disclosed that these regions harbor a rich array of functional elements such as repetitive elements (REs), splicing sites, and transcription factor binding sites (TFBs). Among these elements, TFBs and REs showed a significant distribution and correlation to each other. This survey indicated that 31% of TFBs are localized in the intronic regions of the gene. Moreover, TFBs indicate a strong bias in the regions far from splice sites of introns with mapping to different REs. Accordingly, TFBs showed highly bias toward Short Interspersed Elements (SINEs), which in turn they covering about 12% of the total of REs. However, the distribution pattern of TFBs-REs showed different bias in the intronic regions, spatially into the Introns 13 and 25. The rich array of SINE-TFBs and CR1-TFBs were situated within 5′UTR of the gene that may be an important driving force for regulatory innovation of the hFVIII gene. Taken together, these data may lead to revealing intronic regions with the capacity to renewing gene regulatory networks of the hFVIII gene. On the other hand, these correlations might provide the novel idea for a new hypothesis of molecular evolution of the FVIII gene, and treatment of Hemophilia A which should be considered in future studies.
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Affiliation(s)
- Aliakbar Haddad-Mashadrizeh
- Recombinant Proteins Research Group, Institute of Biotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Jafar Hemmat
- Biotechnology Department, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran
| | - Muhammad Aslamkhan
- Human Genetics & Molecular Biology Dept., University of Health Sciences, Lahore, Pakistan.,Honorary Senior Lecturer in the School of the Medicine University of Liverpool, Liverpool, UK
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43
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Raxwal VK, Ghosh S, Singh S, Katiyar-Agarwal S, Goel S, Jagannath A, Kumar A, Scaria V, Agarwal M. Abiotic stress-mediated modulation of the chromatin landscape in Arabidopsis thaliana. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:5280-5293. [PMID: 32526034 DOI: 10.1093/jxb/eraa286] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Accepted: 06/10/2020] [Indexed: 05/18/2023]
Abstract
Limited information is available on abiotic stress-mediated alterations of chromatin conformation influencing gene expression in plants. In order to characterize the effect of abiotic stresses on changes in chromatin conformation, we employed FAIRE-seq (formaldehyde-assisted isolation of regulatory element sequencing) and DNase-seq to isolate accessible regions of chromatin from Arabidopsis thaliana seedlings exposed to either heat, cold, salt, or drought stress. Approximately 25% of regions in the Arabidopsis genome were captured as open chromatin, the majority of which included promoters and exons. A large proportion of chromatin regions apparently did not change their conformation in response to any of the four stresses. Digital footprints present within these regions had differential enrichment of motifs for binding of 43 different transcription factors. Further, in contrast to drought and salt stress, both high and low temperature treatments resulted in increased accessibility of the chromatin. Also, pseudogenes attained increased chromatin accessibility in response to cold and drought stresses. The highly accessible and inaccessible chromatin regions of seedlings exposed to drought stress correlated with the Ser/Thr protein kinases (MLK1 and MLK2)-mediated reduction and increase in H3 phosphorylation (H3T3Ph), respectively. The presented results provide a deeper understanding of abiotic stress-mediated chromatin modulation in plants.
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Affiliation(s)
- Vivek Kumar Raxwal
- Department of Botany, University of Delhi, Delhi, India
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Sourav Ghosh
- Academy of Scientific and Innovative Research, CSIR-IGIB South Campus, New Delhi, India
- GN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology, New Delhi, India
| | - Somya Singh
- Department of Botany, University of Delhi, Delhi, India
| | | | | | | | - Amar Kumar
- Department of Botany, University of Delhi, Delhi, India
| | - Vinod Scaria
- Academy of Scientific and Innovative Research, CSIR-IGIB South Campus, New Delhi, India
- GN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology, New Delhi, India
| | - Manu Agarwal
- Department of Botany, University of Delhi, Delhi, India
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44
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Allum F, Grundberg E. Capturing functional epigenomes for insight into metabolic diseases. Mol Metab 2020; 38:100936. [PMID: 32199819 PMCID: PMC7300388 DOI: 10.1016/j.molmet.2019.12.016] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 12/23/2019] [Accepted: 12/30/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Metabolic diseases such as obesity are known to be driven by both environmental and genetic factors. Although genome-wide association studies of common variants and their impact on complex traits have provided some biological insight into disease etiology, identified genetic variants have been found to contribute only a small proportion to disease heritability, and to map mainly to non-coding regions of the genome. To link variants to function, association studies of cellular traits, such as epigenetic marks, in disease-relevant tissues are commonly applied. SCOPE OF THE REVIEW We review large-scale efforts to generate genome-wide maps of coordinated epigenetic marks and their utility in complex disease dissection with a focus on DNA methylation. We contrast DNA methylation profiling methods and discuss the advantages of using targeted methods for single-base resolution assessments of methylation levels across tissue-specific regulatory regions to deepen our understanding of contributing factors leading to complex diseases. MAJOR CONCLUSIONS Large-scale assessments of DNA methylation patterns in metabolic disease-linked study cohorts have provided insight into the impact of variable epigenetic variants in disease etiology. In-depth profiling of epigenetic marks at regulatory regions, particularly at tissue-specific elements, will be key to dissect the genetic and environmental components contributing to metabolic disease onset and progression.
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Affiliation(s)
- Fiona Allum
- Department of Human Genetics, McGill University, Montréal, Québec, H3A 0C7, Canada; McGill University and Genome Quebec Innovation Centre, Montréal, Québec, H3A 0G1, Canada
| | - Elin Grundberg
- Children's Mercy Kansas City, Kansas City, MO, 64108, United States.
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Meuleman W, Muratov A, Rynes E, Halow J, Lee K, Bates D, Diegel M, Dunn D, Neri F, Teodosiadis A, Reynolds A, Haugen E, Nelson J, Johnson A, Frerker M, Buckley M, Sandstrom R, Vierstra J, Kaul R, Stamatoyannopoulos J. Index and biological spectrum of human DNase I hypersensitive sites. Nature 2020; 584:244-251. [PMID: 32728217 PMCID: PMC7422677 DOI: 10.1038/s41586-020-2559-3] [Citation(s) in RCA: 158] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 07/01/2020] [Indexed: 01/08/2023]
Abstract
DNase I hypersensitive sites (DHSs) are generic markers of regulatory DNA1–5 and contain genetic variations associated with diseases and phenotypic traits6–8. We created high-resolution maps of DHSs from 733 human biosamples encompassing 438 cell and tissue types and states, and integrated these to delineate and numerically index approximately 3.6 million DHSs within the human genome sequence, providing a common coordinate system for regulatory DNA. Here we show that these maps highly resolve the cis-regulatory compartment of the human genome, which encodes unexpectedly diverse cell- and tissue-selective regulatory programs at very high density. These programs can be captured comprehensively by a simple vocabulary that enables the assignment to each DHS of a regulatory barcode that encapsulates its tissue manifestations, and global annotation of protein-coding and non-coding RNA genes in a manner orthogonal to gene expression. Finally, we show that sharply resolved DHSs markedly enhance the genetic association and heritability signals of diseases and traits. Rather than being confined to a small number of distal elements or promoters, we find that genetic signals converge on congruently regulated sets of DHSs that decorate entire gene bodies. Together, our results create a universal, extensible coordinate system and vocabulary for human regulatory DNA marked by DHSs, and provide a new global perspective on the architecture of human gene regulation. High-resolution maps of DNase I hypersensitive sites from 733 human biosamples are used to identify and index regulatory DNA within the human genome.
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Affiliation(s)
| | | | - Eric Rynes
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Kristen Lee
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Daniel Bates
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Morgan Diegel
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Douglas Dunn
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Fidencio Neri
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | - Alex Reynolds
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric Haugen
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Jemma Nelson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Audra Johnson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Mark Frerker
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | | | - Jeff Vierstra
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Rajinder Kaul
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - John Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA. .,Department of Genome Sciences, University of Washington, Seattle, WA, USA. .,Division of Oncology, Department of Medicine, University of Washington, Seattle, WA, USA.
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46
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Use Chou’s 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting. Mol Genet Genomics 2020; 295:1431-1442. [DOI: 10.1007/s00438-020-01711-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 07/11/2020] [Indexed: 01/08/2023]
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47
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Stergachis AB, Debo BM, Haugen E, Churchman LS, Stamatoyannopoulos JA. Single-molecule regulatory architectures captured by chromatin fiber sequencing. Science 2020; 368:1449-1454. [PMID: 32587015 DOI: 10.1126/science.aaz1646] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 01/12/2020] [Accepted: 04/24/2020] [Indexed: 12/14/2022]
Abstract
Gene regulation is chiefly determined at the level of individual linear chromatin molecules, yet our current understanding of cis-regulatory architectures derives from fragmented sampling of large numbers of disparate molecules. We developed an approach for precisely stenciling the structure of individual chromatin fibers onto their composite DNA templates using nonspecific DNA N6-adenine methyltransferases. Single-molecule long-read sequencing of chromatin stencils enabled nucleotide-resolution readout of the primary architecture of multikilobase chromatin fibers (Fiber-seq). Fiber-seq exposed widespread plasticity in the linear organization of individual chromatin fibers and illuminated principles guiding regulatory DNA actuation, the coordinated actuation of neighboring regulatory elements, single-molecule nucleosome positioning, and single-molecule transcription factor occupancy. Our approach and results open new vistas on the primary architecture of gene regulation.
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Affiliation(s)
- Andrew B Stergachis
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Brian M Debo
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Eric Haugen
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - L Stirling Churchman
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - John A Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA. .,Departments of Genome Sciences and Medicine, University of Washington, Seattle, WA, USA
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48
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Srivastava D, Mahony S. Sequence and chromatin determinants of transcription factor binding and the establishment of cell type-specific binding patterns. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2020; 1863:194443. [PMID: 31639474 PMCID: PMC7166147 DOI: 10.1016/j.bbagrm.2019.194443] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 09/21/2019] [Accepted: 10/06/2019] [Indexed: 12/14/2022]
Abstract
Transcription factors (TFs) selectively bind distinct sets of sites in different cell types. Such cell type-specific binding specificity is expected to result from interplay between the TF's intrinsic sequence preferences, cooperative interactions with other regulatory proteins, and cell type-specific chromatin landscapes. Cell type-specific TF binding events are highly correlated with patterns of chromatin accessibility and active histone modifications in the same cell type. However, since concurrent chromatin may itself be a consequence of TF binding, chromatin landscapes measured prior to TF activation provide more useful insights into how cell type-specific TF binding events became established in the first place. Here, we review the various sequence and chromatin determinants of cell type-specific TF binding specificity. We identify the current challenges and opportunities associated with computational approaches to characterizing, imputing, and predicting cell type-specific TF binding patterns. We further focus on studies that characterize TF binding in dynamic regulatory settings, and we discuss how these studies are leading to a more complex and nuanced understanding of dynamic protein-DNA binding activities. We propose that TF binding activities at individual sites can be viewed along a two-dimensional continuum of local sequence and chromatin context. Under this view, cell type-specific TF binding activities may result from either strongly favorable sequence features or strongly favorable chromatin context.
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Affiliation(s)
- Divyanshi Srivastava
- Center for Eukaryotic Gene Regulation, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA, United States of America
| | - Shaun Mahony
- Center for Eukaryotic Gene Regulation, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA, United States of America.
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49
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Lazar JE, Stehling-Sun S, Nandakumar V, Wang H, Chee DR, Howard NP, Acosta R, Dunn D, Diegel M, Neri F, Castillo A, Ibarrientos S, Lee K, Lescano N, Van Biber B, Nelson J, Halow J, Sandstrom R, Bates D, Urnov FD, Stamatoyannopoulos JA, Funnell APW. Global Regulatory DNA Potentiation by SMARCA4 Propagates to Selective Gene Expression Programs via Domain-Level Remodeling. Cell Rep 2020; 31:107676. [PMID: 32460018 DOI: 10.1016/j.celrep.2020.107676] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 12/23/2019] [Accepted: 04/30/2020] [Indexed: 01/02/2023] Open
Abstract
The human genome encodes millions of regulatory elements, of which only a small fraction are active within a given cell type. Little is known about the global impact of chromatin remodelers on regulatory DNA landscapes and how this translates to gene expression. We use precision genome engineering to reawaken homozygously inactivated SMARCA4, a central ATPase of the human SWI/SNF chromatin remodeling complex, in lung adenocarcinoma cells. Here, we combine DNase I hypersensitivity, histone modification, and transcriptional profiling to show that SMARCA4 dramatically increases both the number and magnitude of accessible chromatin sites genome-wide, chiefly by unmasking sites of low regulatory factor occupancy. By contrast, transcriptional changes are concentrated within well-demarcated remodeling domains wherein expression of specific genes is gated by both distal element activation and promoter chromatin configuration. Our results provide a perspective on how global chromatin remodeling activity is translated to gene expression via regulatory DNA.
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Affiliation(s)
- John E Lazar
- Departments of Genome Sciences and Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | | | - Vivek Nandakumar
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Hao Wang
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Daniel R Chee
- Departments of Genome Sciences and Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | | | - Reyes Acosta
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Douglass Dunn
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Morgan Diegel
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Fidencio Neri
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Andres Castillo
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Sean Ibarrientos
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Kristen Lee
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Ninnia Lescano
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Ben Van Biber
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Jemma Nelson
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | | | - Daniel Bates
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Fyodor D Urnov
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - John A Stamatoyannopoulos
- Departments of Genome Sciences and Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA.
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50
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Gasperini M, Tome JM, Shendure J. Towards a comprehensive catalogue of validated and target-linked human enhancers. Nat Rev Genet 2020; 21:292-310. [PMID: 31988385 PMCID: PMC7845138 DOI: 10.1038/s41576-019-0209-0] [Citation(s) in RCA: 159] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2019] [Indexed: 12/14/2022]
Abstract
The human gene catalogue is essentially complete, but we lack an equivalently vetted inventory of bona fide human enhancers. Hundreds of thousands of candidate enhancers have been nominated via biochemical annotations; however, only a handful of these have been validated and confidently linked to their target genes. Here we review emerging technologies for discovering, characterizing and validating human enhancers at scale. We furthermore propose a new framework for operationally defining enhancers that accommodates the heterogeneous and complementary results that are emerging from reporter assays, biochemical measurements and CRISPR screens.
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Affiliation(s)
- Molly Gasperini
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Jacob M Tome
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage, Seattle, WA, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
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