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dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts

Authors :
Vadim Demichev
Lukasz Szyrwiel
Fengchao Yu
Guo Ci Teo
George Rosenberger
Agathe Niewienda
Daniela Ludwig
Jens Decker
Stephanie Kaspar-Schoenefeld
Kathryn S. Lilley
Michael Mülleder
Alexey I. Nesvizhskii
Markus Ralser
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

The dia-PASEF technology uses ion mobility separation to reduce signal interferences and increase sensitivity of mass spectrometry-based proteomics. The authors present algorithms and a software solution, which boost proteomic depth in dia-PASEF experiments by up to 83% compared to previous work, and are specifically beneficial for fast proteomic experiments and those with low sample amounts.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.530223c882bd4d63b31f0e4036920910
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-31492-0