An open-source computational and data resource to analyze digital maps of immunopeptidomes

We present a novel mass spectrometry-based high-throughput workflow and an open-source computational and data resource to reproducibly identify and quantify HLA-associated peptides. Collectively, the resources support the generation of HLA allele-specific peptide assay libraries consisting of consen...

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Bibliographic Details
Main Authors: Etienne Caron, Lucia Espona, Daniel J Kowalewski, Heiko Schuster, Nicola Ternette, Adán Alpízar, Ralf B Schittenhelm, Sri H Ramarathinam, Cecilia S Lindestam Arlehamn, Ching Chiek Koh, Ludovic C Gillet, Armin Rabsteyn, Pedro Navarro, Sangtae Kim, Henry Lam, Theo Sturm, Miguel Marcilla, Alessandro Sette, David S Campbell, Eric W Deutsch, Robert L Moritz, Anthony W Purcell, Hans-Georg Rammensee, Stefan Stevanovic, Ruedi Aebersold
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2015-07-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/07661
Description
Summary:We present a novel mass spectrometry-based high-throughput workflow and an open-source computational and data resource to reproducibly identify and quantify HLA-associated peptides. Collectively, the resources support the generation of HLA allele-specific peptide assay libraries consisting of consensus fragment ion spectra, and the analysis of quantitative digital maps of HLA peptidomes generated from a range of biological sources by SWATH mass spectrometry (MS). This study represents the first community-based effort to develop a robust platform for the reproducible and quantitative measurement of the entire repertoire of peptides presented by HLA molecules, an essential step towards the design of efficient immunotherapies.
ISSN:2050-084X