Genomics

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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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE41629 | GEO | 2013/11/19

SECONDARY ACCESSION(S): PRJNA177774

REPOSITORIES: GEO

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