Genetic regulatory mechanisms of smooth muscle cells map to coronary artery disease risk loci
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ABSTRACT:
PROVIDER: PRJNA451517 | ENA |
REPOSITORIES: ENA
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Project description:Coronary artery disease (CAD) is the leading cause of death globally. Genome-wide association studies (GWAS) have identified more than 130 independent loci that influence CAD risk, most of which reside in non-coding regions of the genome. To interpret these loci, we generated transcriptome and whole-genome datasets using human coronary artery smooth muscle cells (HCASMC) from 52 unrelated donors, as well as ATAC-seq epigenomic datasets on a subset of 8 donors. Through systematic comparison with publicly available datasets from GTEx and ENCODE projects, we identify transcriptomic, epigenetic, and genetic regulatory mechanisms specific to HCASMC. We validate the relevance of HCASMC to CAD risk using transcriptomic and epigenomic level analyses. By jointly modeling eQTL and GWAS datasets, we identified five genes (SIPA1, TCF21, SMAD3, FES, and PDGFRA) that modulate CAD risk through HCASMC, all of which have biologically relevant functional roles in vascular remodeling. Comparison with GTEx data suggests that SIPA1 appears to influence CAD risk predominantly through HCASMC, while other annotated genes may have multiple cell targets. Together, these results provide new biological insights into the regulation of a critical vascular cell type associated with CAD in human populations.
2018-08-09 | GSE113348 | GEO
Project description:To better understand the fundamental molecular mechanisms that contribute to complex human diseases such as coronary artery disease (CAD), we have created a catalog of genetic variants associated with three stages of transcriptional cis-regulation in primary human coronary artery vascular smooth muscle cells. To this end, we used a pooling approach to map quantitative trait locus associations (QTLs) for TCF21 binding (ChIPseq), chromatin accessibility (ATACseq), and chromosomal looping (HiC). We find significant overlap of these QTLs, and several analyses indicate their relationship to smooth muscle specific genes, the binding of smooth muscle transcription factors, and enrichment in CAD-associated loci. These QTLs are extensively validated and allele-specific chromatin looping at the FN1 disease locus is shown to be mediated by activation of the CAD-associated TGFb1 pathway. In sum, these results uncover thousands of loci affecting cis-regulation in a key cell type for CAD, including many that may contribute to CAD risk.
2020-05-07 | GSE141752 | GEO
Project description:To better understand the fundamental molecular mechanisms that contribute to complex human diseases such as coronary artery disease (CAD), we have created a catalog of genetic variants associated with three stages of transcriptional cis-regulation in primary human coronary artery vascular smooth muscle cells. To this end, we used a pooling approach to map quantitative trait locus associations (QTLs) for TCF21 binding (ChIPseq), chromatin accessibility (ATACseq), and chromosomal looping (HiC). We find significant overlap of these QTLs, and several analyses indicate their relationship to smooth muscle specific genes, the binding of smooth muscle transcription factors, and enrichment in CAD-associated loci. These QTLs are extensively validated and allele-specific chromatin looping at the FN1 disease locus is shown to be mediated by activation of the CAD-associated TGFb1 pathway. In sum, these results uncover thousands of loci affecting cis-regulation in a key cell type for CAD, including many that may contribute to CAD risk.
2020-05-12 | GSE150403 | GEO
Project description:To better understand the fundamental molecular mechanisms that contribute to complex human diseases such as coronary artery disease (CAD), we have created a catalog of genetic variants associated with three stages of transcriptional cis-regulation in primary human coronary artery vascular smooth muscle cells. To this end, we used a pooling approach to map quantitative trait locus associations (QTLs) for TCF21 binding (ChIPseq), chromatin accessibility (ATACseq), and chromosomal looping (HiC). We find significant overlap of these QTLs, and several analyses indicate their relationship to smooth muscle specific genes, the binding of smooth muscle transcription factors, and enrichment in CAD-associated loci. These QTLs are extensively validated and allele-specific chromatin looping at the FN1 disease locus is shown to be mediated by activation of the CAD-associated TGFb1 pathway. In sum, these results uncover thousands of loci affecting cis-regulation in a key cell type for CAD, including many that may contribute to CAD risk.
2020-05-07 | GSE141751 | GEO
Project description:To better understand the fundamental molecular mechanisms that contribute to complex human diseases such as coronary artery disease (CAD), we have created a catalog of genetic variants associated with three stages of transcriptional cis-regulation in primary human coronary artery vascular smooth muscle cells. To this end, we used a pooling approach to map quantitative trait locus associations (QTLs) for TCF21 binding (ChIPseq), chromatin accessibility (ATACseq), and chromosomal looping (HiC). We find significant overlap of these QTLs, and several analyses indicate their relationship to smooth muscle specific genes, the binding of smooth muscle transcription factors, and enrichment in CAD-associated loci. These QTLs are extensively validated and allele-specific chromatin looping at the FN1 disease locus is shown to be mediated by activation of the CAD-associated TGFb1 pathway. In sum, these results uncover thousands of loci affecting cis-regulation in a key cell type for CAD, including many that may contribute to CAD risk.
2020-05-07 | GSE141749 | GEO
Project description:To better understand the fundamental molecular mechanisms that contribute to complex human diseases such as coronary artery disease (CAD), we have created a catalog of genetic variants associated with three stages of transcriptional cis-regulation in primary human coronary artery vascular smooth muscle cells. To this end, we used a pooling approach to map quantitative trait locus associations (QTLs) for TCF21 binding (ChIPseq), chromatin accessibility (ATACseq), and chromosomal looping (HiC). We find significant overlap of these QTLs, and several analyses indicate their relationship to smooth muscle specific genes, the binding of smooth muscle transcription factors, and enrichment in CAD-associated loci. These QTLs are extensively validated and allele-specific chromatin looping at the FN1 disease locus is shown to be mediated by activation of the CAD-associated TGFb1 pathway. In sum, these results uncover thousands of loci affecting cis-regulation in a key cell type for CAD, including many that may contribute to CAD risk.
2020-05-07 | GSE141748 | GEO
Project description:Transcriptomics analysis of human coronary artery smooth muscle cells cultured in osteogenic medium (OM) to induce a mineralized extracellular matrix. To study the underlying molecular mechanisms driving vascular calcification, we analyzed the transcriptome of osteogenic medium (OM)-calcified human coronary artery smooth muscle cells on day 7.
2022-09-18 | GSE211722 | GEO
Project description:Coronary artery disease (CAD) is the leading cause of mortality and morbidity driven by both genetic and environmental risk factors. Meta-analyses of genome-wide association studies (GWAS) have identified multiple single nucleotide polymorphisms (SNPs) associated with CAD and myocardial infarction (MI) susceptibility in multi-ethnic populations. The majority of these variants reside in non-coding regulatory regions and are co-inherited with hundreds of candidate regulatory SNPs. Herein, we use integrative genomic, epigenomic, and transcriptomic fine-mapping in human coronary artery smooth muscle cells (HCASMC) and tissues to identify causal regulatory variation and mechanisms responsible for CAD associations. Using these genome-wide maps we prioritize 65 candidate variants and perform allele-specific binding and expression analyses on 7 top candidates. We validate our findings in two independent cohorts of diseased human arterial expression quantitative trait loci (eQTL), which together demonstrate fundamental links between CAD associations and regulatory function in the appropriate disease context. We performed ATAC-seq, ChIP-seq, and RNA-seq on human coronary artery smooth muscle cells grown in SmGM-2 Smooth Muscle Growth Medium-2 including hEGF, insulin, hFGF-B and FBS, but without antibiotics (Lonza, #CC-3182). For ATAC-seq and RNA-seq we performed stimulations with growth factors (TGF-B1, PDGF-BB, PDGF-DD) versus serum-free control. We conducted two biological replicates for each condition using independent donors. For ATAC-seq experiments, sequencing was completed on an Illumina Hiseq 2500, paired-end 50bp reads. For ChIP-seq we performed immunoprecipitations using H3K27ac (Abcam ab4729). We conducted two biological replicates using HCASMC from independent donors, and also did an IgG control for these studies. For RNA-seq we also conducted two replicates using HCASMC from independent donors. For both ChIP-seq and RNA-seq experiments, sequencing was completed on an Illumina HiSeq 2500, paired-end 100bp reads. We also performed ex-vivo ATAC-seq on frozen tissues (isolated media) from normal and atherosclerotic human coronary arteries, using three independent donors for each. Sequencing was also completed on an Illumina HiSeq 2500, paired end 50bp reads.
2016-07-06 | E-GEOD-72696 | biostudies-arrayexpress
Project description:RNA-seq profiling of human coronary artery smooth muscle cells under treatment of nitrated conjugated linoleic acids (NO2-CLA)
2018-05-31 | GSE100676 | GEO
Project description:Coronary artery disease (CAD) is the leading cause of mortality and morbidity driven by both genetic and environmental risk factors. Meta-analyses of genome-wide association studies (GWAS) have identified multiple single nucleotide polymorphisms (SNPs) associated with CAD and myocardial infarction (MI) susceptibility in multi-ethnic populations. The majority of these variants reside in non-coding regulatory regions and are co-inherited with hundreds of candidate regulatory SNPs. Herein, we use integrative genomic, epigenomic, and transcriptomic fine-mapping in human coronary artery smooth muscle cells (HCASMC) and tissues to identify causal regulatory variation and mechanisms responsible for CAD associations. Using these genome-wide maps we prioritize 65 candidate variants and perform allele-specific binding and expression analyses on 7 top candidates. We validate our findings in two independent cohorts of diseased human arterial expression quantitative trait loci (eQTL), which together demonstrate fundamental links between CAD associations and regulatory function in the appropriate disease context.
2016-07-06 | GSE72696 | GEO