Dataset Information

Transcriptional and epigenetic regulation of PPAR? expression during adipogenesis.

ABSTRACT: The nuclear receptor PPAR? is a master regulator of adipogenesis. PPAR? is highly expressed in adipose tissues and its expression is markedly induced during adipogenesis. In this review, we describe the current knowledge, as well as future directions, on transcriptional and epigenetic regulation of PPAR? expression during adipogenesis. Investigating the molecular mechanisms that control PPAR? expression during adipogenesis is critical for understanding the development of white and brown adipose tissues, as well as pathological conditions such as obesity and diabetes. The robust induction of PPAR? expression during adipogenesis also serves as an excellent model system for studying transcriptional and epigenetic regulation of cell-type-specific gene expression.

SUBMITTER: Lee JE

PROVIDER: S-EPMC4046494 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Transcriptional and epigenetic regulation of PPARγ expression during adipogenesis.

Lee Ji-Eun JE Ge Kai K

Cell & bioscience 20140529

The nuclear receptor PPARγ is a master regulator of adipogenesis. PPARγ is highly expressed in adipose tissues and its expression is markedly induced during adipogenesis. In this review, we describe the current knowledge, as well as future directions, on transcriptional and epigenetic regulation of PPARγ expression during adipogenesis. Investigating the molecular mechanisms that control PPARγ expression during adipogenesis is critical for understanding the development of white and brown adipose ...[more]

PMID: 24904744

Similar Datasets

Project description:Background:Preeclampsia (PE) is a heterogeneous, hypertensive disorder of pregnancy, with no robust biomarkers or effective treatments. We hypothesized that this heterogeneity is due to the existence of multiple subtypes of PE and, in support of this hypothesis, we recently identified five clusters of placentas within a large gene expression microarray dataset (N?=?330), of which four (clusters 1, 2, 3, and 5) contained a substantial number of PE samples. However, while transcriptional analysis of placentas can subtype patients, we propose that the addition of epigenetic information could discern gene regulatory mechanisms behind the distinct PE pathologies, as well as identify clinically useful potential biomarkers. Results:We subjected 48 of our samples from transcriptional clusters 1, 2, 3, and 5 to Infinium HumanMethylation450 arrays. Samples belonging to transcriptional clusters 1-3 still showed visible relationships to each other by methylation, but cluster 5, with known chromosomal abnormalities, no longer formed a cohesive group. Within transcriptional clusters 2 and 3, controlling for fetal sex and gestational age in the identification of differentially methylated sites, compared to the healthier cluster 1, dramatically reduced the number of significant sites, but increased the percentage that demonstrated a strong linear correlation with gene expression (from 5% and 2% to 9% and 8%, respectively). Locations exhibiting a positive relationship between methylation and gene expression were most frequently found in CpG open sea enhancer regions within the gene body, while those with a significant negative correlation were often annotated to the promoter in a CpG shore region. Integrated transcriptome and epigenome analysis revealed modifications in TGF-beta signaling, cell adhesion, oxidative phosphorylation, and metabolism pathways in cluster 2 placentas, and aberrations in antigen presentation, allograft rejection, and cytokine-cytokine receptor interaction in cluster 3 samples. Conclusions:Overall, we have established DNA methylation alterations underlying a portion of the transcriptional development of "canonical" PE in cluster 2 and "immunological" PE in cluster 3. However, a significant number of the observed methylation changes were not associated with corresponding changes in gene expression, and vice versa, indicating that alternate methods of gene regulation will need to be explored to fully comprehend these PE subtypes.

Dataset Information

Transcriptional and epigenetic regulation of PPAR? expression during adipogenesis.

Publications

Transcriptional and epigenetic regulation of PPARγ expression during adipogenesis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets