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...

Full description

Saved in:
Bibliographic Details
Published in:eLife 2015-07, Vol.4
Main Authors: Caron, Etienne, Espona, Lucia, Kowalewski, Daniel J, Schuster, Heiko, Ternette, Nicola, Alpízar, Adán, Schittenhelm, Ralf B, Ramarathinam, Sri H, Lindestam Arlehamn, Cecilia S, Chiek Koh, Ching, Gillet, Ludovic C, Rabsteyn, Armin, Navarro, Pedro, Kim, Sangtae, Lam, Henry, Sturm, Theo, Marcilla, Miguel, Sette, Alessandro, Campbell, David S, Deutsch, Eric W, Moritz, Robert L, Purcell, Anthony W, Rammensee, Hans-Georg, Stevanovic, Stefan, Aebersold, Ruedi
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
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
2050-084X
DOI:10.7554/eLife.07661