Shao Guangcan, Cao Yong, Chen Zhenlin, Liu Chao, Li Shangtong, Chi Hao, Dong Meng-Qiu
School of Life Sciences, Peking University, Beijing 100871, China.
National Institute of Biological Sciences, Beijing, Beijing 102206, China.
Biophys Rep. 2021 Jun 30;7(3):207-226. doi: 10.52601/bpr.2021.210004.
High-throughput proteomics based on mass spectrometry (MS) analysis has permeated biomedical science and propelled numerous research projects. pFind 3 is a database search engine for high-speed and in-depth proteomics data analysis. pFind 3 features a swift open search workflow that is adept at uncovering less obvious information such as unexpected modifications or mutations that would have gone unnoticed using a conventional data analysis pipeline. In this protocol, we provide step-by-step instructions to help users mastering various types of data analysis using pFind 3 in conjunction with pParse for data pre-processing and if needed, pQuant for quantitation. This streamlined pParse-pFind-pQuant workflow offers exceptional sensitivity, precision, and speed. It can be easily implemented in any laboratory in need of identifying peptides, proteins, or post-translational modifications, or of quantitation based on N-labeling, SILAC-labeling, or TMT/iTRAQ labeling.
基于质谱(MS)分析的高通量蛋白质组学已渗透到生物医学科学领域,并推动了众多研究项目。pFind 3是一个用于高速和深入蛋白质组学数据分析的数据库搜索引擎。pFind 3具有快速开放搜索工作流程,擅长发现不太明显的信息,例如使用传统数据分析管道会被忽略的意外修饰或突变。在本方案中,我们提供逐步说明,以帮助用户掌握使用pFind 3结合pParse进行数据预处理以及在需要时结合pQuant进行定量分析的各种类型的数据分析。这种简化的pParse-pFind-pQuant工作流程具有出色的灵敏度、精度和速度。它可以在任何需要鉴定肽、蛋白质或翻译后修饰,或基于N标记、SILAC标记或TMT/iTRAQ标记进行定量分析的实验室中轻松实现。