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GproDIA enables data-independent acquisition glycoproteomics with comprehensive statistical control

Authors :
Yi Yang
Guoquan Yan
Siyuan Kong
Mengxi Wu
Pengyuan Yang
Weiqian Cao
Liang Qiao
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Data independent acquisition (DIA) proteomics provides deep coverage and high quantitative accuracy, but is not yet well established in glycoproteomics. Here, the authors develop a DIA-based glycoproteomics workflow with stringent statistical controls to enable accurate glycopeptide identification.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.6dbee40a30b54804a854177e6a6906a1
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-26246-3