Litcius/Paper detail

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

Shao Guangcan, Cao Yong, Zhenlin Chen, Chao Liu, Shangtong Li, Hao Chi, Meng‐Qiu Dong

2021Biophysics Reports45 citationsDOIOpen Access PDF

Abstract

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 <sup>15</sup>N-labeling, SILAC-labeling, or TMT/iTRAQ labeling.

Topics & Concepts

ProteomicsWorkflowStable isotope labeling by amino acids in cell culturePipeline (software)Computer scienceDatabase search engineMass spectrometryProtocol (science)Shotgun proteomicsIdentification (biology)Computational biologyBottom-up proteomicsQuantitative proteomicsChemistryData miningTandem mass spectrometryChromatographyDatabaseInformation retrievalSearch engineProtein mass spectrometryBiologyBiochemistryPathologyGeneBotanyProgramming languageMedicineAlternative medicineAdvanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and ApplicationsMetabolomics and Mass Spectrometry Studies