Literature DB >> 32275110

Data-Independent Acquisition Mass Spectrometry-based Proteomics and Software Tools: A Glimpse in 2020.

Fangfei Zhang1,2, Weigang Ge1,2, Guan Ruan1,2, Xue Cai1,2, Tiannan Guo1,2.   

Abstract

This review provides a brief overview of the development of data-independent acquisition (DIA) mass spectrometry-based proteomics and selected DIA data analysis tools. We first summarize various DIA acquisition schemes for proteomics including Shotgun-CID, DIA, MSE , PAcIFIC, AIF, SWATH, MSX, SONAR, WiSIM, BoxCar, Scanning SWATH, diaPASEF and PulseDIA, as well as the mass spectrometers enabling these methods. Next, we categorize the software tools for DIA data analysis into three groups: library-based tools, library-free tools and statistical validation tools. We review the approaches for generating spectral libraries for six selected library-based DIA data analysis software tools which have been tested by the authors, including OpenSWATH, Spectronaut, Skyline, PeakView, DIA-NN and EncyclopeDIA. An increasing number of library-free DIA data analysis tools have been developed including DIA-Umpire, Group-DIA, PECAN, PEAKS, which facilitate identification of novel proteoforms. We share our user experience of when to use DIA-MS, and several selected DIA data analysis software tools. Finally, we summarize the state of the art of DIA mass spectrometry and software tools, and our views of future directions. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  Data-independent acquisition; Database search; Software tools; Spectral library; Targeted proteomics

Year:  2020        PMID: 32275110     DOI: 10.1002/pmic.201900276

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


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