TY - JOUR
T1 - The SysteMHC Atlas project
AU - Shao, Wenguang
AU - Pedrioli, Patrick G. A.
AU - Wolski, Witold
AU - Scurtescu, Cristian
AU - Schmid, Emanuel
AU - Vizcaino, Juan A.
AU - Courcelles, Mathieu
AU - Schuster, Heiko
AU - Kowalewski, Daniel
AU - Marino, Fabio
AU - Arlehamn, Cecilia S. L.
AU - Vaughan, Kerrie
AU - Peters, Bjoern
AU - Sette, Alessandro
AU - Ottenhoff, Tom H. M.
AU - Meijgaarden, Krista E.
AU - Nieuwenhuizen, Natalie
AU - Kaufmann, Stefan H. E.
AU - Schlapbach, Ralph
AU - Castle, John C.
AU - Nesvizhskii, Alexey I.
AU - Nielsen, Morten
AU - Deutsch, Eric W.
AU - Campbell, David S.
AU - Moritz, Robert L.
AU - Zubarev, Roman A.
AU - Ytterberg, Anders Jimmy
AU - Purcell, Anthony W.
AU - Marcilla, Miguel
AU - Paradela, Alberto
AU - Wang, Qi
AU - Costello, Catherine E.
AU - Ternette, Nicola
AU - van Veelen, Peter A.
AU - van Els, Cecile A. C. M.
AU - Heck, Albert J. R.
AU - de Souza, Gustavo A.
AU - Sollid, Ludvig M.
AU - Admon, Arie
AU - Stevanovic, Stefan
AU - Rammensee, Hans-Georg
AU - Thibault, Pierre
AU - Perreault, Claude
AU - Bassani-Sternberg, Michal
AU - Aebersold, Ruedi
AU - Caron, Etienne
N1 - 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 [email protected]
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
U2 - 10.1093/nar/gkx664
DO - 10.1093/nar/gkx664
M3 - Journal article
C2 - 28985418
SN - 0305-1048
VL - 46
SP - D1237-D1247
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - D1
ER -