GEO series
Single nucleus RNA-sequencing integrated into risk variant colocalization discovers 17 cell-type-specific abdominal obesity genes for metabolic dysfunction-associated steatotic liver disease [ATAC-seq]
GSE269929
Homo sapiens
Genome binding/occupancy profiling by high throughput sequencing
24 samples
2024/07/11
GPL24676
Summary
Abdominal obesity increases the risk for non-alcoholic fatty liver disease (NAFLD), now known as metabolic dysfunction-associated steatotic liver disease (MASLD). To elucidate the directional cell-type level biological mechanisms underlying the association between abdominal obesity and MASLD, we integrated adipose and liver single nucleus RNA-sequencing and bulk cis-expression quantitative trait locus (eQTL) data with the UK Biobank genome-wide association study (GWAS) data using colocalization. Then we used colocalized cis-eQTL variants as instrumental variables in Mendelian randomization (MR) analyses, followed by functional validation experiments on the target genes of the cis-eQTL variants. We identified 17 colocalized abdominal obesity GWAS variants, regulating 17 adipose cell-type marker genes. Incorporating these 17 variants into MR discovers a putative tissue-of-origin, cell-type-aware causal effect of abdominal obesity on MASLD consistently with multiple MR methods without significant evidence for pleiotropy or heterogeneity. Single cell data confirm the adipocyte-enriched mean expression of the 17 genes. Our cellular experiments across human adipogenesis identify risk variant -specific epigenetic and transcriptional mechanisms. Knocking down two of the 17 genes, PPP2R5A and SH3PXD2B, shows a marked decrease in adipocyte lipidation and significantly alters adipocyte function and adipogenesis regulator genes, including DGAT2, LPL, ADIPOQ, PPARG, and SREBF1. Furthermore, the 17 genes capture a characteristic MASLD expression signature in subcutaneous adipose tissue. Overall, we discover a significant cell-type level effect of abdominal obesity on MASLD and trace its biological effect to adipogenesis (Lee et. al, eBioMedicine 2024).
Download
NCBI GEO page ↗
Paper (PMID 38991381) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human ChIP / ATAC / CUT&Tag datasets →
Similar datasets
- GSE316079 SLF2 and SMC5 dysfunction drives HSC aging and predisposes to MDS, defining a new inherited bone marrow failure syndrome [ATAC-seq] 6 samples
- GSE334112 Reversible epiblast regionalisation determines differentiation potential of human PSCs [ATAC-seq] 38 samples
- GSE329512 SUMOylation enhances DNMT1 function to repress mega-intergenic RNAs and viral mimicry 19 samples
- GSE318107 CAD-C: An engineered nuclease enables repair-free in situ proximity ligation and nucleosome-resolution chromosome walks in human cells [Cut & Tag] 10 samples
- GSE316989 Targeting CDK12/CYCLIN K induces a gene activation program which is mediated by P-TEFb [Cut&RUN] 10 samples
- GSE142751 Genome-wide maps of chromatin state in 142 cancer cell lines [cell line] 855 samples
- GSE327821 Single-molecule, single-cell profiling of linked chromatin states [Single_cell_CoCUT&Tag] 200 samples
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.