Li Qing-Run, Liu Yan-Sheng, Zeng Rong
Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China.
Methods Mol Biol. 2017;1619:385-394. doi: 10.1007/978-1-4939-7057-5_26.
Lung cancer is the leading cause of cancer deaths worldwide. Clinically, the treatment of non-small cell lung cancer (NSCLC) can be improved by the early detection and risk screening among population. To meet this need, here we describe in detail a shotgun following the targeted proteomics workflow that we previously applied for human plasma analysis, which involves (1) the application of extensive peptide-level fractionation coupled with label-free quantitative proteomics for the discovery of plasma biomarker candidates for lung cancer and (2) the usage of the multiple reaction monitoring (MRM) assays for the follow-up validations in the verification phase. The workflow features simplicity, low cost, high transferability, high robustness, and flexibility with specific instrumental settings.
肺癌是全球癌症死亡的主要原因。临床上，通过人群中的早期检测和风险筛查可以改善非小细胞肺癌（NSCLC）的治疗。为满足这一需求，在此我们详细描述一种遵循靶向蛋白质组学工作流程的鸟枪法，该流程我们之前已应用于人体血浆分析，其包括（1）应用广泛的肽水平分级分离结合无标记定量蛋白质组学来发现肺癌血浆生物标志物候选物，以及（2）在验证阶段使用多反应监测（MRM）分析进行后续验证。该工作流程具有简单、低成本、高转移性、高稳健性以及在特定仪器设置下的灵活性等特点。
