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In Depth Quantitative Proteomic and Transcriptomic Characterization of Human Adipocyte Differentiation Using the SGBS Cell Line.
Proteomics ( IF 3.4 ) Pub Date : 2020-05-08 , DOI: 10.1002/pmic.201900405
Stefan Kalkhof 1, 2 , Petra Büttner 3, 4 , Laura Krieg 1, 5 , Martin Wabitsch 6 , Carolin Küntzel 1 , Daniela Friebe 7 , Kathrin Landgraf 3, 7 , Martha Hanschkow 3, 7 , Kristin Schubert 1 , Wieland Kiess 3 , Knut Krohn 8 , Matthias Blüher 9 , Martin von Bergen 1, 10 , Antje Körner 3
Affiliation  

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.

中文翻译:


使用 SGBS 细胞系对人类脂肪细胞分化进行深入定量蛋白质组学和转录组学表征。



大多数关于伴随和驱动脂肪细胞分化的分子过程的信息都来自啮齿动物模型。在这里,提供了辛普森-戈拉比-贝梅尔综合征(SGBS)细胞脂肪细胞分化过程中转录组和蛋白质组组合变化的综合分析。 SGBS 细胞是研究人类脂肪细胞分化和细胞生物学的成熟且应用最广泛的细胞模型。然而,SGBS 细胞中人类脂肪细胞分化过程中的分子变化尚未在蛋白质组和转录组的联合分析中得到描述。这里提供了一个全局蛋白质组和转录组数据集,包含总共 14372 个 mRNA 转录本和 2641 个细胞内和分泌蛋白的相对定量。 1153 个蛋白质和 313 个基因被确定为在前脂肪细胞和完全分化细胞之间差异表达,包括脂联素、脂蛋白脂肪酶、脂肪酸结合蛋白 4、脂肪酸合酶、硬脂酰辅酶 A 去饱和酶和载脂蛋白 E 以及来自脂肪酸合成的许多其他蛋白质、氨基酸合成以及葡萄糖和脂质代谢途径。前脂肪细胞标记物,如乳胶蛋白、 GATA6CXCL6 ,被发现在蛋白质和转录水平上显着下调。该多组学数据集提供了脂肪生成的深入分子概况,并将支持未来了解脂肪细胞功能的研究。
更新日期:2020-05-08
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