Reference : Transcriptomics profiling of human SGBS adipogenesis
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/17825
Transcriptomics profiling of human SGBS adipogenesis
English
Galhardo, Mafalda Sofia mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Sinkkonen, Lasse mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Berninger, Philipp [> >]
Lin, Jake mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Sauter, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Heinäniemi, Merja [> >]
Dec-2014
Genomics Data
2
246-248
Yes
International
2213-5960
[en] 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 ().
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Researchers
http://hdl.handle.net/10993/17825
10.1016/j.gdata.2014.07.004

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