The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Metabolic Labeling Reveals Proteome Dynamics of Mouse Mitochondria
Open accessAbstract
Mitochondrial dysfunction is associated with many human diseases. Mitochondrial damage is exacerbated by inadequate protein quality control and often further contributes to pathogenesis. The maintenance of mitochondrial functions requires a delicate balance of continuous protein synthesis and degradation, i.e. protein turnover. To understand mitochondrial protein dynamics in vivo, we designed a metabolic heavy water ((2)H(2)O) labeling strategy customized to examine individual protein turnover in the mitochondria in a systematic fashion. Mice were fed with (2)H(2)O at a minimal level (<5% body water) without physiological impacts. Mitochondrial proteins were analyzed from 9 mice at each of the 13 time points between 0 and 90 days (d) of labeling. A novel multiparameter fitting approach computationally determined the normalized peak areas of peptide mass isotopomers at initial and steady-state time points and permitted the protein half-life to be determined without plateau-level (2)H incorporation. We characterized the turnover rates of 458 proteins in mouse cardiac and hepatic mitochondria and found median turnover rates of 0.0402 d(-1) and 0.163 d(-1), respectively, corresponding to median half-lives of 17.2 d and 4.26 d. Mitochondria in the heart and those in the liver exhibited distinct turnover kinetics, with limited synchronization within functional clusters. We observed considerable interprotein differences in turnover rates in both organs, with half-lives spanning from hours to months (≈ 60 d). Our proteomics platform demonstrates the first large-scale analysis of mitochondrial protein turnover rates in vivo, with potential applications in translational research.
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Cites
Analysis of proteome dynamics in the mouse brain
Price, J. C., Guan, S., Burlingame, A., Prusiner, S. B., & Ghaemmaghami, S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006551107 · Cited by 357
Turnover of the Human Proteome: Determination of Protein Intracellular Stability by Dynamic SILAC
Doherty, M. K., Hammond, D. E., Clague, M. J., Gaskell, S. J., & Beynon, R. J. (2009) · Journal of Proteome Research · doi:10.1021/pr800641v · Cited by 340
Extremely long-lived nuclear pore proteins in the rat brain
Savas, J. N., Toyama, B. H., Xu, T., Yates, J. R., & Hetzer, M. W. (2012) · Science · doi:10.1126/science.1217421 · Cited by 335
Mitochondrial adaptations to physiological vs. pathological cardiac hypertrophy
Abel, E. D., & Doenst, T. (2011) · Cardiovascular Research · doi:10.1093/cvr/cvr015 · Cited by 263
Metabolic Labeling of Proteins for Proteomics
Beynon, R. J., & Pratt, J. M. (2005) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r400010-mcp200 · Cited by 205
Cited by
Mitophagy and Quality Control Mechanisms in Mitochondrial Maintenance
Pickles, S., Vigié, P., & Youle, R. J. (2018) · Current Biology · doi:10.1016/j.cub.2018.01.004 · Cited by 2,081
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
A new pathway for mitochondrial quality control: Mitochondrial-derived vesicles
Sugiura, A., McLelland, G., Fon, E. A., & McBride, H. M. (2014) · The EMBO Journal · doi:10.15252/embj.201488104 · Cited by 862
Quality control of the mitochondrion
Ng, M. Y. W., Wai, T., & Simonsen, A. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.02.009 · Cited by 445
HSPA5 Gene encoding Hsp70 chaperone BiP in the endoplasmic reticulum
Wang, J., Lee, J., Liem, D., & Ping, P. (2017) · Gene · doi:10.1016/j.gene.2017.03.005 · Cited by 308
Self-citation
Metadata
- Authors
- Kim, T.-Y., Wang, D., Kim, A. K., Lau, E., Lin, A. J., Liem, D. A., Zhang, J., Zong, N. C., Lam, M. P. Y., & Ping, P.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 11
- Issue
- 12
- Pages
- 1586-1594
- ISSN
- 1535-9476 (ISSN-L)
- OpenAlex
- W2110641301
- Cited by
- 175
- References
- 5
- FWCI
- 6.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kim, T.-Y., Wang, D., Kim, A. K., Lau, E., Lin, A. J., Liem, D. A., Zhang, J., Zong, N. C., Lam, M. P. Y., & Ping, P. (2012). Metabolic Labeling Reveals Proteome Dynamics of Mouse Mitochondria. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m112.021162
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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