Latosinska Agnieszka, Mischak Harald, Vlahou Antonia
Mosaiques Diagnostics GmbH, Hannover, Germany.
Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Proteomics. 2025 Aug;25(16):6-8. doi: 10.1002/pmic.202500017. Epub 2025 May 20.
Detergents are key reagents in bottom‐up proteomics that create an apparent, yet underappreciated bias on observable proteomes. Maximizing the chemical diversity of detergents in parallelized screens is supposed to maximize observable proteomes if proteomics data sets of different detergents are combined. The aim of our work is to investigate the potential of fusing ionic and nonionic detergent headgroups into hybrid detergents for increasing the observable number of unique protein identities. Our data indicate that the solubilizing properties of hybrid detergents do not reflect an average of canonical detergents. The number of unique protein identities obtainable from an screen increases from 1604 to 2169 when proteomics data sets from sodium dodecyl sulfate, dodecyltrimethylammonium bromide, dendritic triglycerol detergent, and related hybrid detergents are combined. Our data highlight the utility of cationic detergents and related hybrid detergents for enhancing observable proteomes. Detergent screening–based proteome reconstructions with canonical detergents and hybrid detergents present an interesting research direction towards improved proteome profiling applications.
去污剂是自下而上蛋白质组学中的关键试剂，它们会对可观察到的蛋白质组产生一种明显但未得到充分认识的偏差。如果将不同去污剂的蛋白质组学数据集合并，那么在并行筛选中最大化去污剂的化学多样性理应能最大化可观察到的蛋白质组。我们工作的目的是研究将离子型和非离子型去污剂头基融合成混合去污剂，以增加可观察到的独特蛋白质种类数量的潜力。我们的数据表明，混合去污剂的增溶特性并非典型去污剂的平均表现。当将十二烷基硫酸钠、十二烷基三甲基溴化铵、树枝状甘油三酯去污剂及相关混合去污剂的蛋白质组学数据集合并时，从一次筛选中可获得的独特蛋白质种类数量从1604种增加到了2169种。我们的数据突出了阳离子去污剂及相关混合去污剂在增强可观察蛋白质组方面的效用。基于去污剂筛选的蛋白质组重建，使用典型去污剂和混合去污剂，为改进蛋白质组分析应用提供了一个有趣的研究方向。
