Aldehoff Alix Sarah, Karkossa Isabel, Goerdeler Cornelius, Krieg Laura, Schor Jana, Engelmann Beatrice, Wabitsch Martin, Landgraf Kathrin, Hackermüller Jörg, Körner Antje, Rolle-Kampczyk Ulrike, Schubert Kristin, von Bergen Martin
Department of Molecular Toxicology, Helmholtz-Centre for Environmental Research GmbH (UFZ), Leipzig, Germany.
Department of Computational Biology and Chemistry, Helmholtz-Centre for Environmental Research GmbH (UFZ), Leipzig, Germany.
iScience. 2024 Apr 10;27(6):109711. doi: 10.1016/j.isci.2024.109711. eCollection 2024 Jun 21.
Obesity, characterized by enlarged and dysfunctional adipose tissue, is among today's most pressing global public health challenges with continuously increasing prevalence. Despite the importance of post-translational protein modifications (PTMs) in cellular signaling, knowledge of their impact on adipogenesis remains limited. Here, we studied the temporal dynamics of transcriptome, proteome, central carbon metabolites, and the acetyl- and phosphoproteome during adipogenesis using LC-MS/MS combined with PTM enrichment strategies on human (SGBS) and mouse (3T3-L1) adipocyte models. Both cell lines exhibited unique PTM profiles during adipogenesis, with acetylated proteins being enriched for central energy metabolism, while phosphorylated proteins related to insulin signaling and organization of cellular structures. As candidates with strong correlation to the adipogenesis timeline we identified CD44 and the acetylation sites FASN_K673 and IDH_K272. While results generally aligned between SGBS and 3T3-L1 cells, details appeared cell line specific. Our datasets on SGBS and 3T3-L1 adipogenesis dynamics are accessible for further mining.
肥胖以脂肪组织肿大和功能失调为特征,是当今最紧迫的全球公共卫生挑战之一,其患病率持续上升。尽管翻译后蛋白质修饰(PTM)在细胞信号传导中很重要,但对其在脂肪生成中的影响的了解仍然有限。在这里,我们使用LC-MS/MS结合PTM富集策略,在人(SGBS)和小鼠(3T3-L1)脂肪细胞模型上研究了脂肪生成过程中转录组、蛋白质组、中心碳代谢物以及乙酰化蛋白质组和磷酸化蛋白质组的时间动态。两种细胞系在脂肪生成过程中均表现出独特的PTM谱,乙酰化蛋白质在中心能量代谢中富集,而磷酸化蛋白质与胰岛素信号传导和细胞结构组织有关。作为与脂肪生成时间线密切相关的候选物,我们鉴定出CD44以及乙酰化位点FASN_K673和IDH_K272。虽然SGBS和3T3-L1细胞的结果总体一致,但细节似乎具有细胞系特异性。我们关于SGBS和3T3-L1脂肪生成动态的数据集可供进一步挖掘。