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dc.contributor.author
Caron, Etienne
dc.contributor.author
Espona, Lucia
dc.contributor.author
Kowalewski, Daniel J.
dc.contributor.author
Schuster, Heiko
dc.contributor.author
Ternette, Nicola
dc.contributor.author
Alpízar, Adán
dc.contributor.author
Schittenhelm, Ralf B.
dc.contributor.author
Ramarathinam, Sri H.
dc.contributor.author
Lindestam Arlehamn, Cecilia S.
dc.contributor.author
Koh, Ching Chiek
dc.contributor.author
Gillet, Ludovic
dc.contributor.author
Rabsteyn, Armin
dc.contributor.author
Navarro, Pedro
dc.contributor.author
Kim, Sangtae
dc.contributor.author
Lam, Henry
dc.contributor.author
Sturm, Theo
dc.contributor.author
Marcilla, Miguel
dc.contributor.author
Sette, Alessandro
dc.contributor.author
Campbell, David S.
dc.contributor.author
Deutsch, Eric W.
dc.contributor.author
Moritz, Robert L.
dc.contributor.author
Purcell, Anthony W.
dc.contributor.author
Rammensee, Hans-Georg
dc.contributor.author
Stevanović, Stefan
dc.contributor.author
Aebersold, Ruedi
dc.date.accessioned
2018-09-10T16:46:10Z
dc.date.available
2017-06-11T21:29:55Z
dc.date.available
2018-09-10T16:46:10Z
dc.date.issued
2015-07
dc.identifier.other
10.7554/eLife.07661
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/107549
dc.identifier.doi
10.3929/ethz-b-000107549
dc.description.abstract
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.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
eLife Sciences Publications
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
An open-source computational and data resource to analyze digital maps of immunopeptidomes
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
eLife
ethz.journal.volume
4
en_US
ethz.pages.start
e07661
en_US
ethz.size
17 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.nebis
007613147
ethz.publication.place
Cambridge
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02030 - Dep. Biologie / Dep. of Biology::02538 - Institut für Molekulare Systembiologie / Institute for Molecular Systems Biology::03663 - Aebersold, Rudolf / Aebersold, Rudolf
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02030 - Dep. Biologie / Dep. of Biology::02538 - Institut für Molekulare Systembiologie / Institute for Molecular Systems Biology::03663 - Aebersold, Rudolf / Aebersold, Rudolf
ethz.date.deposited
2017-06-11T21:30:41Z
ethz.source
ECIT
ethz.identifier.importid
imp593653bd9888532730
ethz.ecitpid
pub:168149
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-25T11:16:17Z
ethz.rosetta.lastUpdated
2020-02-15T14:56:25Z
ethz.rosetta.versionExported
true
ethz.COinS
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