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Dataset Information

Discovering metabolic disease gene interactions by correlated effects on cellular morphology.


ABSTRACT:

Objective

Impaired expansion of peripheral fat contributes to the pathogenesis of insulin resistance and Type 2 Diabetes (T2D). We aimed to identify novel disease-gene interactions during adipocyte differentiation.

Methods

Genes in disease-associated loci for T2D, adiposity and insulin resistance were ranked according to expression in human adipocytes. The top 125 genes were ablated in human pre-adipocytes via CRISPR/CAS9 and the resulting cellular phenotypes quantified during adipocyte differentiation with high-content microscopy and automated image analysis. Morphometric measurements were extracted from all images and used to construct morphologic profiles for each gene.

Results

Over 107 morphometric measurements were obtained. Clustering of the morpholog

SUBMITTER: Jiao Y 

PROVIDER: S-EPMC6531784 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature