Division of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solnavägen 9, SE, 17 177, Stockholm, Sweden.
Department of Biostatistics, Yale School of Public Health, Yale University, 60 College Street, New Haven, CT, 06510, USA.
Proteomics. 2018 Dec;18(24):e1800118. doi: 10.1002/pmic.201800118. Epub 2018 Nov 30.
In chemical proteomics, the changes occurring in cellular proteomes upon drug treatment are used to identify the drug targets and the mechanism of action. However, proteomes of cultured cells undergo also natural alteration associated with changes in the media, attaining a degree of confluence as well as due to cell division and cell metabolism. These changes are implicitly assumed to be smaller in magnitude than the drug-induced changes that ultimately lead to cell demise. In this study, it is shown that growth-related proteome changes in the untreated control group are comparable in magnitude to drug-induced changes over the course of 48 h treatment. In two well-characterized cancer cell lines, growth-related effects assessed with deep proteomics analysis (10 481 proteins quantified with at least two peptides) show common trends, the steady downregulation of cell division processes, and the upregulation of metabolism-related pathways. The magnitude of these variations, which are present even before reaching 100% confluence reveals unexpectedly high plasticity of the cellular proteome. This finding reinforces the need, generally accepted in theory but not always followed in practice, to use a time-matched control when measuring drug-induced proteome changes.
在化学蛋白质组学中,药物处理后细胞蛋白质组发生的变化被用来鉴定药物靶点和作用机制。然而,培养细胞的蛋白质组也会发生与培养基变化相关的自然改变,当细胞达到一定的融合度以及由于细胞分裂和细胞代谢时,这种改变就会发生。这些变化的幅度被认为比最终导致细胞死亡的药物诱导变化小。在这项研究中,结果表明,未经处理的对照组中与生长相关的蛋白质组变化的幅度与 48 小时治疗过程中药物诱导的变化相当。在两种经过充分研究的癌细胞系中,通过深度蛋白质组学分析(至少用两种肽定量了 10481 种蛋白质)评估的与生长相关的影响显示出共同的趋势,即细胞分裂过程的稳定下调和代谢相关途径的上调。即使在达到 100%融合度之前,这些变化的幅度就已经存在,这揭示了细胞蛋白质组出人意料的高可塑性。这一发现强化了在测量药物诱导的蛋白质组变化时使用时间匹配对照的必要性,这一观点在理论上被普遍接受,但在实践中并不总是遵循。