DDASSQ: An open-source, multiple peptide sequencing strategy for label free quantification based on an OpenMS pipeline in the KNIME analytics platform.


Journal

Proteomics
ISSN: 1615-9861
Titre abrégé: Proteomics
Pays: Germany
ID NLM: 101092707

Informations de publication

Date de publication:
08 2021
Historique:
revised: 08 07 2021
received: 21 12 2020
accepted: 12 07 2021
pubmed: 28 7 2021
medline: 26 10 2021
entrez: 27 7 2021
Statut: ppublish

Résumé

In this study we investigated the performance of a computational pipeline for protein identification and label free quantification (LFQ) of LC-MS/MS data sets from experimental animal tissue samples, as well as the impact of its specific peptide search combinatorial approach. The full pipeline workflow was composed of peptide search engine adapters based on different identification algorithms, in the frame of the open-source OpenMS software running within the KNIME analytics platform. Two different in silico tryptic digestion, database-search assisted approaches (X!Tandem and MS-GF+), de novo peptide sequencing based on Novor and consensus library search (SpectraST), were tested for the processing of LC-MS/MS raw data files obtained from proteomic LC-MS experiments done on proteolytic extracts from mouse ex vivo liver samples. The results from proteomic LFQ were compared to those based on the application of the two software tools MaxQuant and Proteome Discoverer for protein inference and label-free data analysis in shotgun proteomics. Data are available via ProteomeXchange with identifier PXD025097.

Identifiants

pubmed: 34312990
doi: 10.1002/pmic.202000319
pmc: PMC8459258
doi:

Substances chimiques

Peptides 0
Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2000319

Informations de copyright

© 2021 The Authors. Proteomics published by Wiley-VCH GmbH.

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Auteurs

Monika Svecla (M)

Department of Excellence of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.

Giulia Garrone (G)

Unitech OMICs, University of Milan, Milan, Italy.

Fiorenza Faré (F)

Unitech OMICs, University of Milan, Milan, Italy.

Giacomo Aletti (G)

Department of Environmental Science and Policy, University of Milan, Milan, Italy.

Giuseppe Danilo Norata (GD)

Department of Excellence of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy.
Centro Studio Aterosclerosi, Bassini Hospital, Cinisello Balsamo, Milan, Italy.

Giangiacomo Beretta (G)

Department of Environmental Science and Policy, University of Milan, Milan, Italy.

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Classifications MeSH