Kumar Vipin, Ray Sandipan, Ghantasala Saicharan, Srivastava Sanjeeva
Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.
Front Oncol. 2020 Sep 23;10:543997. doi: 10.3389/fonc.2020.543997. eCollection 2020.
Blood plasma is one of the most widely used samples for cancer biomarker discovery research as well as clinical investigations for diagnostic and therapeutic purposes. However, the plasma proteome is extremely complex due to its wide dynamic range of protein concentrations and the presence of high-abundance proteins. Here we have described an optimized, integrated quantitative proteomics pipeline combining the label-free and multiplexed-labeling-based (iTRAQ and TMT) plasma proteome profiling methods for biomarker discovery, followed by the targeted approaches for validation of the identified potential marker proteins. In this workflow, the targeted quantitation of proteins is carried out by multiple-reaction monitoring (MRM) and parallel-reaction monitoring (PRM) mass spectrometry. Thus, our approach enables both unbiased screenings of biomarkers and their subsequent selective validation in human plasma. The overall procedure takes only ~2 days to complete, including the time for data acquisition (excluding database searching). This protocol is quick, flexible, and eliminates the need for a separate immunoassay-based validation workflow in blood cancer biomarker investigations. We anticipate that this plasma proteomics workflow will help to accelerate the cancer biomarker discovery program and provide a valuable resource to the cancer research community.
血浆是癌症生物标志物发现研究以及用于诊断和治疗目的的临床研究中使用最广泛的样本之一。然而,由于其蛋白质浓度的动态范围广泛且存在高丰度蛋白质,血浆蛋白质组极其复杂。在此,我们描述了一种优化的、集成的定量蛋白质组学流程,该流程结合了基于无标记和多重标记(iTRAQ和TMT)的血浆蛋白质组分析方法用于生物标志物发现,随后采用靶向方法对已鉴定的潜在标志物蛋白质进行验证。在这个工作流程中,通过多反应监测(MRM)和平行反应监测(PRM)质谱对蛋白质进行靶向定量。因此,我们的方法能够在人血浆中对生物标志物进行无偏筛选及其后续的选择性验证。整个过程仅需约2天即可完成,包括数据采集时间(不包括数据库搜索)。该方案快速、灵活,并且在血癌生物标志物研究中无需单独基于免疫测定的验证工作流程。我们预计这种血浆蛋白质组学工作流程将有助于加速癌症生物标志物发现计划,并为癌症研究界提供宝贵资源。