如何在深度蛋白质组学数据分析中使用open-pFind ?-从质谱数据中严格鉴定和定量肽和蛋白质的协议。

Guangcan Shao, Yong Cao, Zhenlin Chen, Chao Liu, Shangtong Li, Hao Chi, Meng-Qiu Dong
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引用次数: 10

摘要

基于质谱(MS)分析的高通量蛋白质组学已经渗透到生物医学科学中,并推动了许多研究项目。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提供了一个快速开放的搜索工作流,它擅长发现不太明显的信息,比如使用传统的数据分析管道无法注意到的意外修改或突变。在本协议中,我们提供分步说明,帮助用户掌握各种类型的数据分析,使用pFind 3与pParse结合进行数据预处理,如果需要,使用pQuant进行定量。这种精简的pParse-pFind-pQuant工作流程提供了卓越的灵敏度,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的实验室中轻松实现,或基于15n标记,silac标记或TMT/iTRAQ标记的定量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

How to use open-pFind in deep proteomics data analysis?- A protocol for rigorous identification and quantitation of peptides and proteins from mass spectrometry data.

How to use open-pFind in deep proteomics data analysis?- A protocol for rigorous identification and quantitation of peptides and proteins from mass spectrometry data.

How to use open-pFind in deep proteomics data analysis?- A protocol for rigorous identification and quantitation of peptides and proteins from mass spectrometry data.

How to use open-pFind in deep proteomics data analysis?- A protocol for rigorous identification and quantitation of peptides and proteins from mass spectrometry data.

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 15N-labeling, SILAC-labeling, or TMT/iTRAQ labeling.

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CiteScore
1.30
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