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Biology subjects

Pjanic, M.

Publications and source records attributed to Pjanic, M..

2 recordsLinked to original sources

Genetic regulatory mechanisms of smooth muscle cells map to coronary artery disease risk loci

Coronary artery disease (CAD) is the leading cause of death globally. Genome-wide association studies (GWAS) have identified more than 95 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 epigenomic datasets using ATAC-seq on a subset of 8 donors. Through systematic comparison with publicly available datasets from GTEx and ENCODE projects, we identified transcriptomic, epigenetic, and genetic regulatory mechanisms specific to HCASMC. We assessed 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 relevant functional roles in vascular remodeling. Comparison with GTEx data suggests that SIPA1 and PDGFRA influence CAD risk predominantly through HCASMC, while other annotated genes may have multiple cell and tissue targets. Together, these results provide new tissue-specific and mechanistic insights into the regulation of a critical vascular cell type associated with CAD in human populations.

genomics

ChIPSeqFPro, a pipeline for sequential processing of ChIP-Seq fastq to bigwig files

ChIPSeqFPro is a pipeline that automates processing of a collection of ChIPSeq or ATAC-Seq data starting from the gzip compressed fastq files. It performs the quality control using FastQC, mapping to the human genome hg19 or mouse mm10 using BWA mapper, for both single read or paired end sequencing fastq files, followed with sam to bam conversion using samtools view, creates statistics on bam files using samtools flagstat, peak calling with MACS, and finally creates high resolution bigwig files from bam files using a custom script bam2bigwig that invokes bedtools bamtobed and UCSC scripts, bedItemOverlapCount, bedGraphToBigWig and fetchChromSizes.

bioinformatics