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E-GEOD-41577 - Integrated analysis of transcript level regulation of metabolism during human adipocyte differentiation [T0901317]

Released on 19 November 2013, last updated on 13 May 2014
Homo sapiens
Samples (6)
Array (1)
Protocols (7)
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 HT12 V3.0 microarrays: LXR ligand activation with 1 microM T0901317 for 4 h in SGBS day 10 differentiated adipocytes (6 samples, treatment vs control, in triplicate) This submission represents transcriptome component of study.
Experiment type
transcription profiling by array 
Merja Heinäniemi
Investigation descriptionE-GEOD-41577.idf.txt
Sample and data relationshipE-GEOD-41577.sdrf.txt
Processed data (1)
Additional data (1)
Array designA-MEXP-1171.adf.txt