Cardiac cell type-specific gene regulatory programs and disease risk association [ATAC-seq]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE165837 | GEO | 2021/04/01
REPOSITORIES: GEO
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Project description:Misregulated gene expression in human hearts can result in cardiovascular diseases that are leading causes of morbidity and mortality worldwide. However, the limited information on the genomic location of candidate cis-regulatory elements (cCRE) such as enhancers and promoters in distinct cardiac cell types has restricted the understanding of these diseases. Here, we defined >287,000 cCREs in the four chambers of the human heart at single-cell resolution, which revealed cCREs and candidate transcription factors associated with cardiac cell types in a region-dependent manner and during heart failure. We further discovered cardiovascular disease-associated genetic variants enriched within these cCREs including 38 candidate causal atrial fibrillation variants localized to cardiomyocyte cCREs. Additional functional studies revealed that two of these variants affect a cCRE controlling KCNH2/HERG expression and action potential repolarization. Overall, this comprehensive atlas of human cardiac cCREs provides the foundation for illuminating cell type-specific gene regulation in human hearts during health and disease.
2021-04-01 | GSE165838 | GEO
Project description:Knowledge of the locations and activities of cis-regulatory elements (CREs) is needed to decipher basic mechanisms of gene regulation and to better understand the impact of genetic variants on complex traits. Previous studies identified candidate CREs (cCREs) using multiple epigenetic features in cell types from one species at a time, but such an approach can make it difficult to compare results across species. In contrast, we conducted a cross-species study defining epigenetic states and identifying cCREs in blood cell types to generate maps of the regulatory landscapes and cCREs that are comparable across species. This study used integrative modeling of eight epigenetic features jointly in both human and mouse in our Validated Systematic Integration (VISION) Project. The accuracy of the cCRE predictions was supported by orthogonal function-related data. The contribution of each epigenetic state in cCREs to gene regulation was estimated from a multivariate regression against gene expression across cell types, and these values were used to estimate an epigenetic state Regulatory Potential (esRP) score for each cCRE in each cell type. These esRP scores have broad utility for visualizing and categorizing the dynamic changes in cCREs during hematopoietic differentiation. After jointly clustering cCREs based on their esRP scores across human and mouse cell types, we found distinctive transcription factor binding motifs associated with each group of cCREs with similar patterns of regulatory activity; these associations are similar between human and mouse. Genetic variants associated with blood cell phenotypes (from the GWAS Catalog and the UK Biobank study) were highly and specifically enriched in the catalog of human VISION cCREs, indicating the utility of our cCRE predictions for understanding the impact of noncoding genetic variants on both physiologic and pathologic blood cell-related traits. The cross-species joint modeling enabled a comparison of cCREs that revealed both conserved and lineage-specific patterns of epigenetic evolution, even in the absence of genomic sequence alignment. The VISION project resources are accessible through a suite of tools and browsers at http://usevision.org.
2023-04-10 | GSE229097 | GEO
Project description:Knowledge of the locations and activities of cis-regulatory elements (CREs) is needed to decipher basic mechanisms of gene regulation and to better understand the impact of genetic variants on complex traits. Previous studies identified candidate CREs (cCREs) using multiple epigenetic features in cell types from one species at a time, but such an approach can make it difficult to compare results across species. In contrast, we conducted a cross-species study defining epigenetic states and identifying cCREs in blood cell types to generate maps of the regulatory landscapes and cCREs that are comparable across species. This study used integrative modeling of eight epigenetic features jointly in both human and mouse in our Validated Systematic Integration (VISION) Project. The accuracy of the cCRE predictions was supported by orthogonal function-related data. The contribution of each epigenetic state in cCREs to gene regulation was estimated from a multivariate regression against gene expression across cell types, and these values were used to estimate an epigenetic state Regulatory Potential (esRP) score for each cCRE in each cell type. These esRP scores have broad utility for visualizing and categorizing the dynamic changes in cCREs during hematopoietic differentiation. After jointly clustering cCREs based on their esRP scores across human and mouse cell types, we found distinctive transcription factor binding motifs associated with each group of cCREs with similar patterns of regulatory activity; these associations are similar between human and mouse. Genetic variants associated with blood cell phenotypes (from the GWAS Catalog and the UK Biobank study) were highly and specifically enriched in the catalog of human VISION cCREs, indicating the utility of our cCRE predictions for understanding the impact of noncoding genetic variants on both physiologic and pathologic blood cell-related traits. The cross-species joint modeling enabled a comparison of cCREs that revealed both conserved and lineage-specific patterns of epigenetic evolution, even in the absence of genomic sequence alignment. The VISION project resources are accessible through a suite of tools and browsers at http://usevision.org.
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Project description:Knowledge of the locations and activities of cis-regulatory elements (CREs) is needed to decipher basic mechanisms of gene regulation and to better understand the impact of genetic variants on complex traits. Previous studies identified candidate CREs (cCREs) using multiple epigenetic features in cell types from one species at a time, but such an approach can make it difficult to compare results across species. In contrast, we conducted a cross-species study defining epigenetic states and identifying cCREs in blood cell types to generate maps of the regulatory landscapes and cCREs that are comparable across species. This study used integrative modeling of eight epigenetic features jointly in both human and mouse in our Validated Systematic Integration (VISION) Project. The accuracy of the cCRE predictions was supported by orthogonal function-related data. The contribution of each epigenetic state in cCREs to gene regulation was estimated from a multivariate regression against gene expression across cell types, and these values were used to estimate an epigenetic state Regulatory Potential (esRP) score for each cCRE in each cell type. These esRP scores have broad utility for visualizing and categorizing the dynamic changes in cCREs during hematopoietic differentiation. After jointly clustering cCREs based on their esRP scores across human and mouse cell types, we found distinctive transcription factor binding motifs associated with each group of cCREs with similar patterns of regulatory activity; these associations are similar between human and mouse. Genetic variants associated with blood cell phenotypes (from the GWAS Catalog and the UK Biobank study) were highly and specifically enriched in the catalog of human VISION cCREs, indicating the utility of our cCRE predictions for understanding the impact of noncoding genetic variants on both physiologic and pathologic blood cell-related traits. The cross-species joint modeling enabled a comparison of cCREs that revealed both conserved and lineage-specific patterns of epigenetic evolution, even in the absence of genomic sequence alignment. The VISION project resources are accessible through a suite of tools and browsers at http://usevision.org.
2023-04-10 | GSE229099 | GEO
Project description:Knowledge of the locations and activities of cis-regulatory elements (CREs) is needed to decipher basic mechanisms of gene regulation and to better understand the impact of genetic variants on complex traits. Previous studies identified candidate CREs (cCREs) using multiple epigenetic features in cell types from one species at a time, but such an approach can make it difficult to compare results across species. In contrast, we conducted a cross-species study defining epigenetic states and identifying cCREs in blood cell types to generate maps of the regulatory landscapes and cCREs that are comparable across species. This study used integrative modeling of eight epigenetic features jointly in both human and mouse in our Validated Systematic Integration (VISION) Project. The accuracy of the cCRE predictions was supported by orthogonal function-related data. The contribution of each epigenetic state in cCREs to gene regulation was estimated from a multivariate regression against gene expression across cell types, and these values were used to estimate an epigenetic state Regulatory Potential (esRP) score for each cCRE in each cell type. These esRP scores have broad utility for visualizing and categorizing the dynamic changes in cCREs during hematopoietic differentiation. After jointly clustering cCREs based on their esRP scores across human and mouse cell types, we found distinctive transcription factor binding motifs associated with each group of cCREs with similar patterns of regulatory activity; these associations are similar between human and mouse. Genetic variants associated with blood cell phenotypes (from the GWAS Catalog and the UK Biobank study) were highly and specifically enriched in the catalog of human VISION cCREs, indicating the utility of our cCRE predictions for understanding the impact of noncoding genetic variants on both physiologic and pathologic blood cell-related traits. The cross-species joint modeling enabled a comparison of cCREs that revealed both conserved and lineage-specific patterns of epigenetic evolution, even in the absence of genomic sequence alignment. The VISION project resources are accessible through a suite of tools and browsers at http://usevision.org.
2023-04-10 | GSE229098 | GEO
Project description:Kidney failure, the decrease of kidney function below a threshold necessary to support life, is a major cause of morbidity and mortality in humans. Kidney function is highly heritable; yet, the cellular and molecular mechanisms which contribute to differences in human kidney function remain obscure. We performed a genome wide association study (GWAS), identifying 430 loci affecting kidney function in middle-aged adults. To investigate which cell types are affected by these loci, we integrated the GWAS with human kidney candidate cis-regulatory elements (cCREs), identified using scATAC-seq. 56% of kidney function heritability localized to kidney tubule epithelial cCREs and an additional 7% to kidney podocyte cCREs. Thus, most of the heritable differences in adult kidney function is due to altered gene expression in these two cell types. Using enhancer assays, allele-specific scATAC-seq and machine learning, we found that many kidney function variants alter cCRE chromatin accessibility and function. Using CRISPRi, we determined which genes some of these cCREs regulate, implicating NDRG1, CCNB1 and STC1 in human kidney function. This work provides an experimental approach to identify the variants, regulatory elements and genes involved in human traits and disease.
2024-07-15 | GSE266319 | GEO
Project description:Genome-wide association studies (GWAS) identified over fifty genomic loci associated with lung cancer risk. However, the genetic mechanisms and target genes underlying these loci are largely unknown, as most risk-associated-variants might regulate gene expression in a context-specific manner. Here, we generated a barcode-shared multiome (transcriptome and chromatin accessibility map) of 117,911 human lung cells from ever- and never-smokers to profile context-specific gene regulation. We observed that most of differentially expressed genes based on smoking status (smoking-responsive genes) were cell-type specific, and inter-cellular communication strength for Major Histocompatibility Complex-I and -II pathways were inverted between ever- and never-smokers. Accessible chromatin peak detection identified candidate cis-regulatory elements (cCREs) from each lung cell type, and 37% of them were cell-type specific. Colocalization of lung cancer candidate causal variants (CCVs) with these cCREs prioritized the variants for 68% of the GWAS loci, a subset of which was also supported by transcription factor footprinting. cCRE colocalization and single-cell based trait relevance score nominated epithelial and immune cells as the main cell groups contributing to lung cancer susceptibility. Notably, cCREs of rare epithelial cell types, including AT2-proliferating (0.13%) and basal cells (1.8%), overlapped with CCVs from multiple GWAS loci. A multi-level cCRE-gene linking system identified candidate susceptibility genes from 57% of lung cancer loci, including smoking-responsive genes. Our multiome dataset identified lung cancer susceptibility genes that were not detected in previous tissue- or cell-line-based approaches and further revealed the cell types and contexts where the susceptibility genes are functional, including the interplay of epithelial and immune cell types even in a single locus.
2024-08-14 | GSE241468 | GEO
Project description:Genetic risk variants identified in genome-wide association studies (GWAS) of complex disease are primarily non-coding, and translating risk variants into mechanistic insight requires detailed gene regulatory maps in disease-relevant cell types. Here, we combined a GWAS of type 1 diabetes (T1D) in 520,580 samples with candidate cis-regulatory elements (cCREs) in pancreas and peripheral blood mononuclear cell types defined using single nucleus ATAC-seq (snATAC-seq) of 131,554 nuclei. T1D risk variants were enriched in cCREs active in T cells and additional cell types, including acinar and ductal cells of the exocrine pancreas. Risk variants at multiple T1D signals overlapped exocrine-specific cCREs linked to genes with exocrine-specific expression. At the CFTR locus, T1D risk variant rs7795896 mapped in a ductal-specific cCRE which regulated CFTR, and the risk allele reduced transcription factor binding, enhancer activity and CFTR expression in ductal cells. These findings support a role for the exocrine pancreas in T1D pathogenesis and highlight the power of large-scale GWAS and single cell epigenomics for understanding the cellular origins of complex disease.
2021-03-15 | GSE163160 | GEO
Project description:While human organoid systems have provided a powerful platform in modeling diseases caused by genetic disorders, non-genetic factors, such as lifestyle and environment, are the largest attributable factors to devastating diseases like cardiovascular disease (CVD), the leading cause of death worldwide. Specifically, myocardial infarction (MI) (i.e., heart attack) makes up ~8.5% of CVD and is a common cause of heart failure with a 40% five-year mortality after the first MI. This highlights an urgent need to develop relevant human heart failure models for drug development. This is further evidenced by the disappointing performance of heart failure drugs in clinical trials during the last decade, which has been partially attributed to the distinct differences between human patient hearts and animal heart failure models. Here, we combined major non-genetic causal factors of MI with our previously established cardiac organoids to create the first human organoid model of cardiac infarction. In particular, we leveraged the diffusion limitation in 3D microtissues to recreate the nutrient diffusion gradient across infarcted hearts (i.e., infarct-border-remote zones) in human cardiac organoids to induce cardiac organotypic response to infarction. This enabled the recapitulation of major MI hallmarks in human cardiac organoids at the transcriptomic, structural and functional level.
2020-04-14 | GSE115031 | GEO
Project description:While human organoid systems have provided a powerful platform in modeling diseases caused by genetic disorders, non-genetic factors, such as lifestyle and environment, are the largest attributable factors to devastating diseases like cardiovascular disease (CVD), the leading cause of death worldwide. Specifically, myocardial infarction (MI) (i.e., heart attack) makes up ~8.5% of CVD and is a common cause of heart failure with a 40% five-year mortality after the first MI. This highlights an urgent need to develop relevant human heart failure models for drug development. This is further evidenced by the disappointing performance of heart failure drugs in clinical trials during the last decade, which has been partially attributed to the distinct differences between human patient hearts and animal heart failure models. Here, we combined major non-genetic causal factors of MI with our previously established cardiac organoids to create the first human organoid model of cardiac infarction. In particular, we leveraged the diffusion limitation in 3D microtissues to recreate the nutrient diffusion gradient across infarcted hearts (i.e., infarct-border-remote zones) in human cardiac organoids to induce cardiac organotypic response to infarction. This enabled the recapitulation of major MI hallmarks in human cardiac organoids at the transcriptomic, structural and functional level.
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