Transcriptomics profiling of human SGBS adipogenesis
Mafalda Galhardo,
Lasse Sinkkonen,
Philipp Berninger,
Jake Lin,
Thomas Sauter,
Merja Heinäniemi
Affiliations
Mafalda Galhardo
Life Sciences Research Unit, University of Luxembourg, 162a Avenue de la Faïencerie, L-1511 Luxembourg, Luxembourg
Lasse Sinkkonen
Life Sciences Research Unit, University of Luxembourg, 162a Avenue de la Faïencerie, L-1511 Luxembourg, Luxembourg
Philipp Berninger
Biozentrum, Universität Basel and Swiss Institute of Bioinformatics, Klingelbergstrasse 50-70, 4056 Basel, Switzerland
Jake Lin
Luxembourg Centre for Systems Biomedicine, University of Luxembourg, House of Biomedicine, 7 Avenue des Hauts-Fourneaux, L-4362 Esch/Alzette, Luxembourg
Thomas Sauter
Life Sciences Research Unit, University of Luxembourg, 162a Avenue de la Faïencerie, L-1511 Luxembourg, Luxembourg
Merja Heinäniemi
Institute of Biomedicine, School of Medicine, University of Eastern Finland, FI-70120 Kuopio, Finland
Obesity is an ever-growing epidemic where tissue homeostasis is influenced by the differentiation of adipocytes that function in lipid metabolism, endocrine and inflammatory processes. While this differentiation process has been well-characterized in mice, limited data is available from human cells. Applying microarray expression profiling in the human SGBS pre-adipocyte cell line, we identified genes with differential expression during differentiation in combination with constraint-based modeling of metabolic pathway activity. Here we describe the experimental design and quality controls in detail for the gene expression and related results published by Galhardo et al. in Nucleic Acids Research 2014 associated with the data uploaded to NCBI Gene Expression Omnibus (GSE41352).
