Oliver Nekesa C, Choi Min Ji, Arul Albert B, Whitaker Marsalas D, Robinson Renã A S
Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.
Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States.
ACS Meas Sci Au. 2024 Apr 29;4(4):442-451. doi: 10.1021/acsmeasuresciau.3c00070. eCollection 2024 Aug 21.
Large-scale plasma proteomics studies have been transformed due to the multiplexing and automation of sample preparation workflows. However, these workflows can suffer from reproducibility issues, a lack of standardized quality control (QC) metrics, and the assessment of variation before liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The incorporation of robust QC metrics in sample preparation workflows ensures better reproducibility, lower assay variation, and better-informed decisions for troubleshooting. Our laboratory conducted a plasma proteomics study of a cohort of patient samples ( = 808) using tandem mass tag (TMT) 16-plex batches ( = 58). The proteomic workflow consisted of protein depletion, protein digestion, TMT labeling, and fractionation. Five QC sample types (QC, QC, QC, QC, and QC) were created to measure the performance of sample preparation prior to the final LC-MS/MS analysis. We measured <10% CV for individual sample preparation steps in the proteomic workflow based on data from various QC sample steps. The establishment of robust measures for QC of sample preparation steps allowed for greater confidence in prepared samples for subsequent LC-MS/MS analysis. This study also provides recommendations for standardized QC metrics that can assist with future large-scale cohort sample preparation workflows.
由于样品制备工作流程的多重化和自动化,大规模血浆蛋白质组学研究已发生变革。然而,这些工作流程可能存在可重复性问题、缺乏标准化的质量控制(QC)指标以及在液相色谱 - 串联质谱(LC - MS/MS)分析之前对变异的评估。在样品制备工作流程中纳入稳健的QC指标可确保更好的可重复性、更低的检测变异以及为故障排除做出更明智的决策。我们实验室使用串联质谱标签(TMT)16重试剂批次(n = 58)对一组患者样本(n = 808)进行了血浆蛋白质组学研究。蛋白质组学工作流程包括蛋白质去除、蛋白质消化、TMT标记和分级分离。创建了五种QC样本类型(QC1、QC2、QC3、QC4和QC5)以在最终的LC - MS/MS分析之前测量样品制备的性能。基于来自各种QC样本步骤的数据,我们在蛋白质组学工作流程中测量到各个样品制备步骤的变异系数(CV)<10%。为样品制备步骤建立稳健的QC措施,使得对用于后续LC - MS/MS分析的制备样品更有信心。本研究还为标准化的QC指标提供了建议,这些指标可协助未来大规模队列样本制备工作流程。