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Harmonizing labeling and analytical strategies to obtain protein turnover rates in intact adult animals

View ORCID ProfileDean E Hammond, View ORCID ProfileDeborah M Simpson, View ORCID ProfileCatarina Franco, View ORCID ProfileMarina Wright Muelas, John Waters, View ORCID ProfileR W Ludwig, Mark C Prescott, View ORCID ProfileJane L Hurst, View ORCID ProfileRobert J Beynon, View ORCID ProfileEdward Lau
doi: https://doi.org/10.1101/2021.12.13.472439
Dean E Hammond
1Department of Biochemistry and System Biology, Institute of Systems and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
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  • For correspondence: d.e.hammond@liverpool.ac.uk edward.lau@cuanschutz.edu r.beynon@liverpool.ac.uk
Deborah M Simpson
1Department of Biochemistry and System Biology, Institute of Systems and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
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Catarina Franco
1Department of Biochemistry and System Biology, Institute of Systems and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
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Marina Wright Muelas
2Centre for Metabolomics Research, Institute of Systems and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
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John Waters
3Mammalian Behaviour & Evolution Group, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK
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R W Ludwig
4Department of Medicine/Cardiology, Consortium for Fibrosis Research and Translation, University of Colorado School of Medicine, Aurora, CO 80045, USA
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Mark C Prescott
1Department of Biochemistry and System Biology, Institute of Systems and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
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Jane L Hurst
3Mammalian Behaviour & Evolution Group, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK
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Robert J Beynon
1Department of Biochemistry and System Biology, Institute of Systems and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
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  • For correspondence: d.e.hammond@liverpool.ac.uk edward.lau@cuanschutz.edu r.beynon@liverpool.ac.uk
Edward Lau
4Department of Medicine/Cardiology, Consortium for Fibrosis Research and Translation, University of Colorado School of Medicine, Aurora, CO 80045, USA
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  • For correspondence: d.e.hammond@liverpool.ac.uk edward.lau@cuanschutz.edu r.beynon@liverpool.ac.uk
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Abstract

Changes in the abundance of individual proteins in the proteome can be elicited by modulation of protein synthesis (the rate of input of newly synthesized proteins into the protein pool) or degradation (the rate of removal of protein molecules from the pool). A full understanding of proteome changes therefore requires a definition of the roles of these two processes in proteostasis, collectively known as protein turnover. Because protein turnover occurs even in the absence of overt changes in pool abundance, turnover measurements necessitate monitoring the flux of stable isotope labeled precursors through the protein pool such as labeled amino acids or metabolic precursors such as ammonium chloride or heavy water. In cells in culture, the ability to manipulate precursor pools by rapid medium changes is simple, but for more complex systems such as intact animals, the approach becomes more convoluted. Individual methods bring specific complications, and the suitability of different methods has not been comprehensively explored. In this study we compare the turnover rates of proteins across four mouse tissues, obtained from the same inbred mouse strain maintained under identical husbandry conditions, measured using either [13C6]lysine or [2H2]O as the labeling precursor. We show that for long-lived proteins, the two approaches yield essentially identical measures of the first order rate constant for degradation. For short-lived proteins, there is a need to compensate for the slower equilibration of lysine through the precursor pools. We evaluate different approaches to provide that compensation. We conclude that both labels are suitable, but careful determination of precursor enrichment kinetics in amino acid labeling is critical and has a considerable influence on the numerical values of the derived protein turnover rates.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://doi.org/10.6084/m9.figshare.17096636.v1

  • http://proteomecentral.proteomexchange.org/cgi/GetDataset?ID=PXD029639

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Harmonizing labeling and analytical strategies to obtain protein turnover rates in intact adult animals
Dean E Hammond, Deborah M Simpson, Catarina Franco, Marina Wright Muelas, John Waters, R W Ludwig, Mark C Prescott, Jane L Hurst, Robert J Beynon, Edward Lau
bioRxiv 2021.12.13.472439; doi: https://doi.org/10.1101/2021.12.13.472439
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Harmonizing labeling and analytical strategies to obtain protein turnover rates in intact adult animals
Dean E Hammond, Deborah M Simpson, Catarina Franco, Marina Wright Muelas, John Waters, R W Ludwig, Mark C Prescott, Jane L Hurst, Robert J Beynon, Edward Lau
bioRxiv 2021.12.13.472439; doi: https://doi.org/10.1101/2021.12.13.472439

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