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dc.contributor.author
Xuan, Yue
dc.contributor.author
Goetze, Sandra
dc.contributor.author
Wollscheid, Bernd
dc.contributor.author
et al.
dc.date.accessioned
2020-10-23T13:13:09Z
dc.date.available
2020-10-22T08:54:44Z
dc.date.available
2020-10-23T13:13:09Z
dc.date.issued
2020
dc.identifier.issn
2041-1723
dc.identifier.other
10.1038/s41467-020-18904-9
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/447220
dc.identifier.doi
10.3929/ethz-b-000447220
dc.description.abstract
Cancer has no borders: Generation and analysis of molecular data across multiple centers worldwide is necessary to gain statistically significant clinical insights for the benefit of patients. Here we conceived and standardized a proteotype data generation and analysis workflow enabling distributed data generation and evaluated the quantitative data generated across laboratories of the international Cancer Moonshot consortium. Using harmonized mass spectrometry (MS) instrument platforms and standardized data acquisition procedures, we demonstrate robust, sensitive, and reproducible data generation across eleven international sites on seven consecutive days in a 24/7 operation mode. The data presented from the high-resolution MS1-based quantitative data-independent acquisition (HRMS1-DIA) workflow shows that coordinated proteotype data acquisition is feasible from clinical specimens using such standardized strategies. This work paves the way for the distributed multi-omic digitization of large clinical specimen cohorts across multiple sites as a prerequisite for turning molecular precision medicine into reality.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature Publishing Group
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Standardization and harmonization of distributed multi-center proteotype analysis supporting precision medicine studies
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-10-16
ethz.journal.title
Nature Communications
ethz.journal.volume
11
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Nat Commun
ethz.pages.start
5248
en_US
ethz.size
12 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02072 - Proteomics Plattform D-HEST
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02072 - Proteomics Plattform D-HEST
ethz.date.deposited
2020-10-22T08:55:00Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-10-23T13:13:23Z
ethz.rosetta.lastUpdated
2021-02-15T19:04:02Z
ethz.rosetta.versionExported
true
ethz.COinS
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