Integrated analysis of transcript level regulation of metabolism during human adipocyte differentiation [time course]
Source: NCBI BioProject (ID PRJNA176619)

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Project name: Homo sapiens
Description: 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.Overall design: Illumina HT12 microarrays: Time series of differentiation (20 samples, 7 time points in duplicate or triplicate)This is the Illumina Gene Expression part of the study.
Data type: Transcriptome or Gene expression
Sample scope: Multiisolate
Relevance: Medical
Organization: university of eastern finland
Literatures
  1. PMID: 24198249
Last updated: 2012-10-04