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dc.contributor.authorShao, Wenguang
dc.contributor.authorPedrioli, Patrick G A
dc.contributor.authorWolski, Witold
dc.contributor.authorScurtescu, Cristian
dc.contributor.authorSchmid, Emanuel
dc.contributor.authorVizcaíno, Juan A
dc.contributor.authorCourcelles, Mathieu
dc.contributor.authorSchuster, Heiko
dc.contributor.authorKowalewski, Daniel
dc.contributor.authorMarino, Fabio
dc.contributor.authorArlehamn, Cecilia S L
dc.contributor.authorVaughan, Kerrie
dc.contributor.authorPeters, Bjoern
dc.contributor.authorSette, Alessandro
dc.contributor.authorOttenhoff, Tom H M
dc.contributor.authorMeijgaarden, Krista E
dc.contributor.authorNieuwenhuizen, Natalie
dc.contributor.authorKaufmann, Stefan H E
dc.contributor.authorSchlapbach, Ralph
dc.contributor.authorCastle, John C
dc.contributor.authorNesvizhskii, Alexey I
dc.contributor.authorNielsen, Morten
dc.contributor.authorDeutsch, Eric W
dc.contributor.authorCampbell, David S
dc.contributor.authorMoritz, Robert L
dc.contributor.authorZubarev, Roman A
dc.contributor.authorYtterberg, Anders Jimmy
dc.contributor.authorPurcell, Anthony W
dc.contributor.authorMarcilla, Miguel
dc.contributor.authorParadela, Alberto
dc.contributor.authorWang, Qi
dc.contributor.authorCostello, Catherine E
dc.contributor.authorTernette, Nicola
dc.contributor.authorvan Veelen, Peter A
dc.contributor.authorvan Els, Cécile A C M
dc.contributor.authorHeck, Albert J R
dc.contributor.authorde Souza, Gustavo A
dc.contributor.authorSollid, Ludvig M
dc.contributor.authorAdmon, Arie
dc.contributor.authorStevanovic, Stefan
dc.contributor.authorRammensee, Hans-Georg
dc.contributor.authorThibault, Pierre
dc.contributor.authorPerreault, Claude
dc.contributor.authorBassani-Sternberg, Michal
dc.contributor.authorAebersold, Ruedi
dc.contributor.authorCaron, Etienne
dc.date.accessioned2018-04-04T06:08:27Z
dc.date.available2018-04-04T06:08:27Z
dc.date.issued2018-01-04
dc.identifier.citationThe SysteMHC Atlas project. 2018, 46 (D1):D1237-D1247 Nucleic Acids Res.en
dc.identifier.issn1362-4962
dc.identifier.pmid28985418
dc.identifier.doi10.1093/nar/gkx664
dc.identifier.urihttp://hdl.handle.net/10029/621729
dc.description.abstractMass 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.
dc.language.isoenen
dc.rightsArchived with thanks to Nucleic acids researchen
dc.titleThe SysteMHC Atlas project.en
dc.typeArticleen
dc.identifier.journalNucleic Acids Res 2018; 46(D1):1237-47en
refterms.dateFOA2018-12-18T14:17:15Z
html.description.abstractMass 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.


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