The SysteMHC Atlas project

Wenguang Shao, Patrick G. A. Pedrioli, Witold Wolski, Cristian Scurtescu, Emanuel Schmid, Juan A. Vizcaino, Mathieu Courcelles, Heiko Schuster, Daniel Kowalewski, Fabio Marino, Cecilia S. L. Arlehamn, Kerrie Vaughan, Bjoern Peters, Alessandro Sette, Tom H. M. Ottenhoff, Krista E. Meijgaarden, Natalie Nieuwenhuizen, Stefan H. E. Kaufmann, Ralph Schlapbach, John C. CastleAlexey I. Nesvizhskii, Morten Nielsen, Eric W. Deutsch, David S. Campbell, Robert L. Moritz, Roman A. Zubarev, Anders Jimmy Ytterberg, Anthony W. Purcell, Miguel Marcilla, Alberto Paradela, Qi Wang, Catherine E. Costello, Nicola Ternette, Peter A. van Veelen, Cecile A. C. M. van Els, Albert J. R. Heck, Gustavo A. de Souza, Ludvig M. Sollid, Arie Admon, Stefan Stevanovic, Hans-Georg Rammensee, Pierre Thibault, Claude Perreault, Michal Bassani-Sternberg, Ruedi Aebersold, Etienne Caron*

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    Mass spectrometry (MS)-based immunopeptidomics investigates the repertoire of peptides presented at the cell surface by major histocompatibility complex (MHC) molecules. The broad clinical relevance of MHC-associated peptides, e.g. in precision medicine, provides a strong rationale for the large-scale generation of immunopeptidomic datasets and recent developments in MS-based peptide analysis technologies now support the generation of the required data. Importantly, the availability of diverse immunopeptidomic datasets has resulted in an increasing need to standardize, store and exchange this type of data to enable better collaborations among researchers, to advance the field more efficiently and to establish quality measures required for the meaningful comparison of datasets. Here we present the SysteMHC Atlas (https://systemhcatlas.org), a public database that aims at collecting, organizing, sharing, visualizing and exploring immunopeptidomic data generated by MS. The Atlas includes raw mass spectrometer output files collected from several laboratories around the globe, a catalog of context-specific datasets of MHC class I and class II peptides, standardized MHC allele-specific peptide spectral libraries consisting of consensus spectra calculated from repeat measurements of the same peptide sequence, and links to other proteomics and immunology databases. The SysteMHC Atlas project was created and will be further expanded using a uniform and open computational pipeline that controls the quality of peptide identifications and peptide annotations. Thus, the SysteMHC Atlas disseminates quality controlled immunopeptidomic information to the public domain and serves as a community resource toward the generation of a high-quality comprehensive map of the human immunopeptidome and the support of consistent measurement of immunopeptidomic sample cohorts.
    Original languageEnglish
    JournalNucleic acids research
    Volume46
    Issue numberD1
    Pages (from-to)D1237-D1247
    ISSN0305-1048
    DOIs
    Publication statusPublished - 2018

    Bibliographical note

    This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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