An atlas of protein turnover rates in mouse tissues

Zach Rolfs, Brian L. Frey, Xudong Shi, Yoshitaka Kawai, Lloyd M. Smith and Nathan V. Welham ()
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Zach Rolfs: University of Wisconsin-Madison
Brian L. Frey: University of Wisconsin-Madison
Xudong Shi: University of Wisconsin School of Medicine and Public Health
Yoshitaka Kawai: University of Wisconsin School of Medicine and Public Health
Lloyd M. Smith: University of Wisconsin-Madison
Nathan V. Welham: University of Wisconsin School of Medicine and Public Health

Nature Communications, 2021, vol. 12, issue 1, 1-9

Abstract: Abstract Protein turnover is critical to cellular physiology as well as to the growth and maintenance of tissues. The unique synthesis and degradation rates of each protein help to define tissue phenotype, and knowledge of tissue- and protein-specific half-lives is directly relevant to protein-related drug development as well as the administration of medical therapies. Using stable isotope labeling and mass spectrometry, we determine the in vivo turnover rates of thousands of proteins—including those of the extracellular matrix—in a set of biologically important mouse tissues. We additionally develop a data visualization platform, named ApplE Turnover, that enables facile searching for any protein of interest in a tissue of interest and then displays its half-life, confidence interval, and supporting measurements. This extensive dataset and the corresponding visualization software provide a reference to guide future studies of mammalian protein turnover in response to physiologic perturbation, disease, or therapeutic intervention.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26842-3

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DOI: 10.1038/s41467-021-26842-3

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