A Data-Driven Transcriptional Taxonomy of Adipogenic Chemicals to Identify White and Brite Adipogens.

ABSTRACT:

Background

Chemicals in disparate structural classes activate specific subsets of the transcriptional programs of peroxisome proliferator-activated receptor-γ (PPARγ) to generate adipocytes with distinct phenotypes.

Objectives

Our objectives were to a) establish a novel classification method to predict PPARγ ligands and modifying chemicals; and b) create a taxonomy to group chemicals on the basis of their effects on PPARγ's transcriptome and downstream metabolic functions. We tested the hypothesis that environmental adipogens highly ranked by the taxonomy, but segregated from therapeutic PPARγ ligands, would induce white but not brite adipogenesis.

Methods

3T3-L1 cells were differentiated in the presence of 76 chemicals (negative controls, nuclear recept

SUBMITTER: Kim S 

PROVIDER: S-EPMC8320370 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature