Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Browning of human adipocytes requires KLF11 and reprogramming of PPARγ super-enhancers

ABSTRACT: Here we have characterized the transcriptional processes underlying the formation of human brown in white (i.e. brite) adipocytes using a genome-wide approach. We show that the browning process is associated with reprogramming of peroxisome proliferator-activated receptor γ (PPARγ) binding to form brite adipocyte-selective PPARγ super-enhancers that appear to play a key role in activation of brite adipocyte-selective genes. We identify the KLF11 gene based on its association with a PPARγ super-enhancer and show that KLF11 is a novel browning factor directly induced by rosiglitazone and required for the activation of brite adipocyte-selective gene program by rosiglitazone. Genome-wide profiling of Dnase I hypersenstive (DHS) sites, epigenomic marks, transcription factor and co-factor binding, and gene expression in hMADS white and brite adipocytes

ORGANISM(S): Homo sapiens

SUBMITTER: Anne Loft

PROVIDER: E-GEOD-59703 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Growing evidence suggests that chemicals in disparate structural classes activate specific subsets of PPARγ’s transcriptional programs to generate adipocytes with distinct phenotypes. Our objectives were to 1) establish a novel classification method to predict PPARγ-interacting and modifying chemicals and 2) create taxonomy labels to group chemicals based on their effects on PPARγ’s transcriptome and downstream metabolic functions. We tested the hypothesis that an environmental ligand highly ranked by the taxonomy, but that segregated from the therapeutic ligands, would induce white but not brite adipogensis. 3T3-L1 cells were differentiated in the presence of 76 chemicals (negative controls, synthetic nuclear receptor ligands known to influence adipocyte biology, suspected environmental PPARγ ligands). Differentiation was assessed by measuring lipid accumulation. mRNA expression was determined by highly multiplexed RNA-Seq and validated by RT-qPCR. A novel classification model was developed using an amended random forest procedure. A subset of environmental contaminants identified as strong PPARγ agonists were characterized further for lipid handling, mitochondrial biogenesis and cellular respiration in 3T3-L1 cells and primary human preadipocytes. The 76 chemicals generated a spectrum of adipogenic differentiation. We used lipid accumulation and RNA sequencing data to develop a classification system that 1) identified PPARγ agonists and 2) sorted agonists into likely white or brite adipocyte inducers. Expression of Cidec, was the most efficacious indicator for strong PPARγ activation. Two known environmental PPARγ ligands, tetrabromobisphenol A, and triphenyl phosphate, which sorted distinctly from therapeutic ligands, induced white but not brite adipocyte genes and induced fatty acid uptake but not mitochondrial biogenesis in 3T3-L1 cells. The highly ranked agonists, tonalid and quinoxyfen, also induced white adipogenesis in 3T3-L1 cells and primary human preadipocytes. A novel classification procedure accurately identified environmental chemicals as PPARγ-modifying chemicals distinct from known PPARγ-modifying therapeutics.

Dataset Information

Browning of human adipocytes requires KLF11 and reprogramming of PPARγ super-enhancers

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets