In Depth Quantitative Proteomic and Transcriptomic Characterization of Human Adipocyte Differentiation using the SGBS Cell Line

Abstract: Most information on molecular processes accompanying and driving adipocyte differentiation are derived from rodent models. Here, a comprehensive analysis of combined transcriptomic and proteomic alterations during adipocyte differentiation in Simpson–Golabi–Behmel Syndrome (SGBS) cells is provided. The SGBS cells are a well‐established and the most widely applied cell model to study human adipocyte differentiation and cell biology. However, the molecular alterations during human adipocyte differentiation in SGBS cells have not yet been described in a combined analysis of proteome and transcriptome. Here a global proteomic and transcriptomic data set comprising relative quantification of a total of 14372 mRNA transcripts and 2641 intracellular and secreted proteins is presented. 1153 proteins and 313 genes are determined as differentially expressed between preadipocytes and the fully differentiated cells including adiponectin, lipoprotein lipase, fatty acid binding protein 4, fatty acid synthase, stearoyl‐CoA desaturase, and apolipoprotein E and many other proteins from the fatty acid synthesis, amino acid synthesis as well as glucose and lipid metabolic pathways. Preadipocyte markers, such as latexin, GATA6, and CXCL6, are found to be significantly downregulated at the protein and transcript level. This multi‐omics data set provides a deep molecular profile of adipogenesis and will support future studies to understand adipocyte function.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: In Depth Quantitative Proteomic and Transcriptomic Characterization of Human Adipocyte Differentiation using the SGBS Cell Line ; volume:20 ; number:15-16 ; year:2020 ; extent:5 ; Proteomics ; 20, Heft 15-16 (2020) (gesamt 5)

Contributors, Places and Time

• Creator: Kalkhof, Stefan ; Büttner, Petra ; Krieg, Laura ; Wabitsch, Martin ; Küntzel, Carolin ; Friebe, Daniela ; Landgraf, Kathrin ; Hanschkow, Martha ; Schubert, Kristin ; Kiess, Wieland ; Krohn, Knut ; Blüher, Matthias ; von Bergen, Martin ; Körner, Antje

Further information

• DOI: 10.1002/pmic.201900405
• URN: urn:nbn:de:101:1-2022061708132979324001
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:22 AM CEST