TY - JOUR
T1 - MhcVizPipe
T2 - A Quality Control Software for Rapid Assessment of Small- To Large-Scale Immunopeptidome Datasets
AU - Kovalchik, Kevin A.
AU - Ma, Qing
AU - Wessling, Laura
AU - Saab, Frederic
AU - Duquette, Jérôme D.
AU - Kubiniok, Peter
AU - Hamelin, David J.
AU - Faridi, Pouya
AU - Li, Chen
AU - Purcell, Anthony W.
AU - Jang, Anne
AU - Paramithiotis, Eustache
AU - Tognetti, Marco
AU - Reiter, Lukas
AU - Bruderer, Roland
AU - Lanoix, Joël
AU - Bonneil, Éric
AU - Courcelles, Mathieu
AU - Thibault, Pierre
AU - Caron, Etienne
AU - Sirois, Isabelle
N1 - Funding Information:
Acknowledgments?This work was supported by funding from the Fonds de recherche du Qu?bec-Sant?, the Cole Foundation, CHU Sainte-Justine and the Charles-Bruneau Foundations, Canada Foundation for Innovation, the National Sciences and Engineering Research Council (grant no.: RGPIN-2020-05232), and the Canadian Institutes of Health Research (grant no.: 174924). Institute for Research in Immunology and Cancer proteomics facility is a Genomics Technology platform funded in part by the Canadian Government through Genome Canada.
Funding Information:
Funding and additional information—K. A. K. is a recipient of the postdoctoral scholarship of the Institute for Data Valorization (grant no.: 4879287150).
Funding Information:
Acknowledgments—This work was supported by funding from the Fonds de recherche du Québec-Santé, the Cole Foundation, CHU Sainte-Justine and the Charles-Bruneau Foundations, Canada Foundation for Innovation, the National Sciences and Engineering Research Council (grant no.: RGPIN-2020-05232), and the Canadian Institutes of Health Research (grant no.: 174924). Institute for Research in Immunology and Cancer proteomics facility is a Genomics Technology platform funded in part by the Canadian Government through Genome Canada.
Publisher Copyright:
© 2021 THE AUTHORS.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85122567459&partnerID=8YFLogxK
U2 - 10.1016/j.mcpro.2021.100178
DO - 10.1016/j.mcpro.2021.100178
M3 - Article
C2 - 34798331
AN - SCOPUS:85122567459
SN - 1535-9476
VL - 21
JO - Molecular & Cellular Proteomics
JF - Molecular & Cellular Proteomics
IS - 1
M1 - 100178
ER -