Integrated analysis of transcript level regulation of metabolism during human adipocyte differentiation [ChIP-Seq]

ABSTRACT: Here, we have focused on studying the link between metabolic changes driven by the differentiation into mature adipocytes of a human preadipocyte cell line (SGBS) and their regulation, through a combined experimental and computational approach. By collecting data on gene expression, PPARg, CEBPa, LXR and H3K4me3 genome-wide ChIP-seq profles and transcriptome-wide microRNA target identification for miR-27a, miR29a and miR-222, and using constraint-based modeling to estimate metabolic reaction activity, we obtained a comprehensive set of information highlighting how epigenetic, transcriptional and post-transcriptional regulation impacts the metabolic network. Illumina Solexa sequencing: Six samples in total. Two ChIP-seq samples were prepared using an antibody against H3K4me3 active TSS chro

ORGANISM(S): Homo sapiens

SUBMITTER: Merja Heinäniemi 

PROVIDER: E-GEOD-41629 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress