MhcVizPipe: A Quality Control Software for Rapid Assessment of Small- to Large-Scale Immunopeptidome Datasets.
MHC
MS
immunopeptidomics
peptide
software
Journal
Molecular & cellular proteomics : MCP
ISSN: 1535-9484
Titre abrégé: Mol Cell Proteomics
Pays: United States
ID NLM: 101125647
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
received:
21
05
2021
revised:
28
10
2021
accepted:
01
11
2021
pubmed:
20
11
2021
medline:
5
4
2022
entrez:
19
11
2021
Statut:
ppublish
Résumé
MS-based immunopeptidomics is maturing into an automatized and high-throughput technology, producing small- to large-scale datasets of clinically relevant major histocompatibility complex (MHC) class I-associated and class II-associated peptides. Consequently, the development of quality control (QC) and quality assurance systems capable of detecting sample and/or measurement issues is important for instrument operators and scientists in charge of downstream data interpretation. Here, we created MhcVizPipe (MVP), a semiautomated QC software tool that enables rapid and simultaneous assessment of multiple MHC class I and II immunopeptidomic datasets generated by MS, including datasets generated from large sample cohorts. In essence, MVP provides a rapid and consolidated view of sample quality, composition, and MHC specificity to greatly accelerate the "pass-fail" QC decision-making process toward data interpretation. MVP parallelizes the use of well-established immunopeptidomic algorithms (NetMHCpan, NetMHCIIpan, and GibbsCluster) and rapidly generates organized and easy-to-understand reports in HTML format. The reports are fully portable and can be viewed on any computer with a modern web browser. MVP is intuitive to use and will find utility in any specialized immunopeptidomic laboratory and proteomics core facility that provides immunopeptidomic services to the community.
Identifiants
pubmed: 34798331
pii: S1535-9476(21)00150-X
doi: 10.1016/j.mcpro.2021.100178
pmc: PMC8717601
pii:
doi:
Substances chimiques
Histocompatibility Antigens Class I
0
Peptides
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
100178Subventions
Organisme : CIHR
ID : 174924
Pays : Canada
Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest A. J. and E. P. are employees of CellCarta (Montreal, Canada); M. T., L. R., and R. B. are employees of Biognosys (Zürich, Switzerland). All other authors declare no competing interests.