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Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments [RNA-seq]

ABSTRACT: The functional interpretation of GWAS remains challenging due to the cell-type dependent influences of genetic variants. Here, we generated comprehensive maps of expression quantitative trait loci (eQTL) for 659 microdissected human kidney samples and identified cell-type eQTLs by mapping interactions between cell type abundance and genotype. By partitioning heritability using stratified LD-score regression to integrate GWAS with scRNA-seq and snATAC-seq data, we prioritized proximal tubules in kidney function and endothelial cells and distal tubule segments in blood pressure pathogenesis. Bayesian colocalization analysis nominated more than 200 genes for kidney function and hypertension. Our study clarifies the mechanism of commonly used antihypertensive and renal protective drugs and identifies drug repurposing opportunities for kidney disease.

ORGANISM(S): Homo sapiens

PROVIDER: GSE173343 | GEO | 2021/05/20

REPOSITORIES: GEO

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Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments

Project description:The functional interpretation of GWAS remains challenging due to the cell-type dependent influences of genetic variants. Here, we generated comprehensive maps of expression quantitative trait loci (eQTL) for 659 microdissected human kidney samples and identified cell-type eQTLs by mapping interactions between cell type abundance and genotype. By partitioning heritability using stratified LD-score regression to integrate GWAS with scRNA-seq and snATAC-seq data, we prioritized proximal tubules in kidney function and endothelial cells and distal tubule segments in blood pressure pathogenesis. Bayesian colocalization analysis nominated more than 200 genes for kidney function and hypertension. Our study clarifies the mechanism of commonly used antihypertensive and renal protective drugs and identifies drug repurposing opportunities for kidney disease.

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Context-aware single-cell multiomics approach identifies cell-type specific lung cancer susceptibility genes

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.

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Single Cell Transcriptional and Chromatin Accessibility Profiling on the human adult kidneys with autosomal dominant polycystic kidney disease

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Project description:To unravel antihypertensive drug-induced gene expression changes that are potentially related to the amelioration of end-organ damages, we performed in vivo phenotypic evaluation and transcriptomic analysis on the heart and the kidney, with administration of antihypertensive drugs to two inbred strains of (i.e., hypertensive and normotensive) rats. We chose to use six antihypertensive classes: enalapril (angiotensin converting enzyme inhibitor), candesartan (angiotensin receptor blocker), hydrochlorothiazide (diuretics), amlodipine (calcium-channel blocker), carvedilol (vasodilating beta-blocker) and hydralazine. In the tested rat strains, four of six drugs, including two renin-angiotensin system (RAS) inhibitors, were effective for BP lowering, whereas the remaining two drugs were not. Besides BP lowering, there appeared to be some inter-drug heterogeneity in phenotypic changes, such as suppressed body weight (Bw) gain and Bw-adjusted heart weight reduction. For the transcriptomic response, a considerable number of genes showed prominent mRNA expression changes either in a BP-dependent or BP-independent manner with substantial diversity between the target organs. Noticeable changes of mRNA expression were induced particularly by RAS blockade, e.g., for genes in the natriuretic peptide system (Nppb and Corin) in the heart and for those in the RAS/ kallikrein-kinin system (Ren and rat Klk1 paralogs) and those related to calcium ion binding (Calb1 and Slc8a1) in the kidney. This submission includes the kidney data.

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Transcriptomic response in the heart and kidney to different types of antihypertensive drug administration

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2022-04-15 | E-MTAB-10667 | biostudies-arrayexpress

Multimodal single cell sequencing implicates chromatin accessibility and genetic background in diabetic kidney disease progression

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2022-07-28 | GSE195460 | GEO

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2021-02-21 | GSE151302 | GEO

Transcriptomic response in the heart and kidney to different types of antihypertensive drug administration [kidney]

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