Alamillo Lorena, Ng Dominic C M, Currie Jordan, Black Alexander, Pandi Boomathi, Manda Vyshnavi, Pavelka Jay, Schaal Peyton, Travers Joshua G, McKinsey Timothy A, Lam Maggie P Y, Lau Edward
Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA; Consortium for Fibrosis Research & Translation, University of Colorado School of Medicine, Aurora, CO, USA.
Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA; Consortium for Fibrosis Research & Translation, University of Colorado School of Medicine, Aurora, CO, USA; Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, USA.
Cell Rep Methods. 2025 Jul 21;5(7):101104. doi: 10.1016/j.crmeth.2025.101104. Epub 2025 Jul 10.
Protein turnover is a critical component of gene expression regulation and cellular homeostasis, yet methods for measuring turnover rates that are scalable and applicable to different models are still needed. We introduce an improved DO (heavy water) labeling strategy to investigate the landscape of protein turnover in cell culture, with accurate calibration of per-residue deuterium incorporation in multiple cell types. Applying this method, we mapped the proteome-wide turnover landscape of pluripotent and differentiating human induced pluripotent stem cells (hiPSCs). Our analysis highlights the role of APC/C (anaphase-promoting complex/cyclosome) and SPOP (speckle-type POZ protein) degrons in the fast turnover of cell-cycle-related and DNA-binding hiPSC proteins. Upon pluripotency exit, many short-lived hiPSC proteins are depleted, while RNA-binding and -splicing proteins become hyperdynamic. The ability to identify fast-turnover proteins also facilitates secretome profiling, as exemplified in hiPSC-cardiomyocyte and primary human cardiac fibroblast analysis. This method is broadly applicable to protein turnover studies in primary, pluripotent, and transformed cells.
蛋白质周转是基因表达调控和细胞稳态的关键组成部分,但仍需要可扩展且适用于不同模型的测量周转速率的方法。我们引入了一种改进的重水(DO)标记策略,以研究细胞培养中蛋白质周转的情况,并对多种细胞类型中每个残基的氘掺入进行精确校准。应用此方法,我们绘制了多能和分化中的人诱导多能干细胞(hiPSC)的全蛋白质组周转图谱。我们的分析突出了后期促进复合物/细胞周期体(APC/C)和斑点型POZ蛋白(SPOP)降解结构域在与细胞周期相关和DNA结合的hiPSC蛋白快速周转中的作用。在多能性退出时,许多短命的hiPSC蛋白被耗尽,而RNA结合和剪接蛋白变得高度动态。识别快速周转蛋白的能力也有助于分泌蛋白组分析,如在hiPSC-心肌细胞和原代人心脏成纤维细胞分析中所示。该方法广泛适用于原代、多能和转化细胞中的蛋白质周转研究。