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dc.contributor.author
Shao, Wenguang
dc.contributor.author
Guo, Tiannan
dc.contributor.author
Toussaint, Nora C.
dc.contributor.author
Xue, Peng
dc.contributor.author
Wagner, Ulrich
dc.contributor.author
Li, Li
dc.contributor.author
Charmpi, Konstantina
dc.contributor.author
Zhu, Yi
dc.contributor.author
Wu, Jianmin
dc.contributor.author
Buljan, Marija
dc.contributor.author
Sun, Rui
dc.contributor.author
Rutishauser, Dorothea
dc.contributor.author
Hermanns, Thomas
dc.contributor.author
Fankhauser, Christian D.
dc.contributor.author
Poyet, Cedric
dc.contributor.author
Ljubicic, Jelena
dc.contributor.author
Rupp, Niels
dc.contributor.author
Rüschoff, Jan H.
dc.contributor.author
Zhong, Qing
dc.contributor.author
Beyer, Andreas
dc.contributor.author
Ji, Jiafu
dc.contributor.author
Collins, Ben C.
dc.contributor.author
Liu, Yansheng
dc.contributor.author
Rätsch, Gunnar
dc.contributor.author
Wild, Peter J.
dc.contributor.author
Aebersold, Ruedi
dc.date.accessioned
2020-01-24T08:27:11Z
dc.date.available
2020-01-24T08:27:11Z
dc.date.issued
2019
dc.identifier.issn
2041-1723
dc.identifier.other
10.1038/s41467-019-10513-5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/393657
dc.identifier.doi
10.3929/ethz-b-000347673
dc.description.abstract
Deterioration of biomolecules in clinical tissues is an inevitable pre-analytical process, which affects molecular measurements and thus potentially confounds conclusions from cohort analyses. Here, we investigate the degradation of mRNA and protein in 68 pairs of adjacent prostate tissue samples using RNA-Seq and SWATH mass spectrometry, respectively. To objectively quantify the extent of protein degradation, we develop a numerical score, the Proteome Integrity Number (PIN), that faithfully measures the degree of protein degradation. Our results indicate that protein degradation only affects 5.9% of the samples tested and shows negligible correlation with mRNA degradation in the adjacent samples. These findings are confirmed by independent analyses on additional clinical sample cohorts and across different mass spectrometric methods. Overall, the data show that the majority of samples tested are not compromised by protein degradation, and establish the PIN score as a generic and accurate indicator of sample quality for proteomic analyses.
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
Comparative analysis of mRNA and protein degradation in prostate tissues indicates high stability of proteins
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2019-06-07
ethz.journal.title
Nature Communications
ethz.journal.volume
10
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Nat Commun
ethz.pages.start
2524
en_US
ethz.size
8 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
Symmetrical 7q11.23 rearrangements in Williams Beuren Syndrome and Autism Spectrum Disorder: from gene dosage to clinical phenotypes
en_US
ethz.grant
Proteomics 4D: The proteome in context
en_US
ethz.grant
MitoModules: Biomarkers in context
en_US
ethz.grant
PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION, a tool for cancer patient risk-stratification and pers. drug selection through multi-omic data integration.
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::02030 - Dep. Biologie / Dep. of Biology::02538 - Institut für Molekulare Systembiologie / Institute for Molecular Systems Biology::03663 - Aebersold, Rudolf / Aebersold, Rudolf
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09568 - Rätsch, Gunnar / Rätsch, Gunnar
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.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09568 - Rätsch, Gunnar / Rätsch, Gunnar
ethz.grant.agreementno
616441
ethz.grant.agreementno
670821
ethz.grant.agreementno
166435
ethz.grant.agreementno
668858
ethz.grant.fundername
EC
ethz.grant.fundername
EC
ethz.grant.fundername
SNF
ethz.grant.fundername
SBFI
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100007352
ethz.grant.program
FP7
ethz.grant.program
H2020
ethz.grant.program
H2020
ethz.grant.program
ethz.date.deposited
2019-06-17T04:40:48Z
ethz.source
SCOPUS
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-01-24T08:27:21Z
ethz.rosetta.lastUpdated
2020-02-15T23:49:12Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/347673
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/393463
ethz.COinS
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