Author
Listed:
- Wenguang Shao
(Institute of Molecular Systems Biology, ETH Zurich)
- Tiannan Guo
(Institute of Molecular Systems Biology, ETH Zurich
Westlake University
Institute of Basic Medical Sciences, Westlake Institute for Advanced Study)
- Nora C. Toussaint
(NEXUS Personalized Health Technologies, ETH Zurich
SIB Swiss Institute of Bioinformatics)
- Peng Xue
(Institute of Molecular Systems Biology, ETH Zurich
Institute of Biophysics, Chinese Academy of Sciences)
- Ulrich Wagner
(University Hospital Zurich)
- Li Li
(University of Cologne)
- Konstantina Charmpi
(University of Cologne)
- Yi Zhu
(Institute of Molecular Systems Biology, ETH Zurich
Westlake University
Institute of Basic Medical Sciences, Westlake Institute for Advanced Study)
- Jianmin Wu
(Peking University Cancer Hospital & Institute)
- Marija Buljan
(Institute of Molecular Systems Biology, ETH Zurich)
- Rui Sun
(Westlake University
Institute of Basic Medical Sciences, Westlake Institute for Advanced Study)
- Dorothea Rutishauser
(University Hospital Zurich)
- Thomas Hermanns
(University of Zurich, University Hospital Zurich)
- Christian Daniel Fankhauser
(University of Zurich, University Hospital Zurich)
- Cedric Poyet
(University of Zurich, University Hospital Zurich)
- Jelena Ljubicic
(University Hospital Zurich)
- Niels Rupp
(University Hospital Zurich)
- Jan H. Rüschoff
(University Hospital Zurich)
- Qing Zhong
(University Hospital Zurich
University of Sydney)
- Andreas Beyer
(University of Cologne)
- Jiafu Ji
(Peking University Cancer Hospital & Institute)
- Ben C. Collins
(Institute of Molecular Systems Biology, ETH Zurich)
- Yansheng Liu
(Yale University School of Medicine)
- Gunnar Rätsch
(SIB Swiss Institute of Bioinformatics
ETH Zurich)
- Peter J. Wild
(University Hospital Zurich
University Hospital Frankfurt)
- Ruedi Aebersold
(Institute of Molecular Systems Biology, ETH Zurich
University of Zurich)
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.
Suggested Citation
Wenguang Shao & Tiannan Guo & Nora C. Toussaint & Peng Xue & Ulrich Wagner & Li Li & Konstantina Charmpi & Yi Zhu & Jianmin Wu & Marija Buljan & Rui Sun & Dorothea Rutishauser & Thomas Hermanns & Chri, 2019.
"Comparative analysis of mRNA and protein degradation in prostate tissues indicates high stability of proteins,"
Nature Communications, Nature, vol. 10(1), pages 1-8, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10513-5
DOI: 10.1038/s41467-019-10513-5
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