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Proteome Birthdating Reveals Age-Selectivity of Protein Ubiquitination
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Abstract
Abstract Within a cell, proteins have distinct and highly variable half-lives. As a result, the molecular ages of proteins can range from seconds to years. How the age of a protein influences its environmental interactions is a largely unexplored area of biology. To investigate the age-selectivity of cellular pathways, we developed a methodology termed “proteome birthdating” that barcodes proteins based on their time of synthesis. We demonstrate that this approach provides accurate measurements of protein turnover kinetics without the requirement for multiple kinetic time points. As a first use case of the birthdated proteome, we investigated the age distribution of the human ubiquitinome. Our results indicate that the vast majority of ubiquitinated proteins in a cell consist of newly synthesized proteins and that these young proteins constitute the bulk of the degradative flux through the proteasome. Rapidly ubiquitinated nascent proteins are enriched in cytosolic subunits of large protein complexes. Conversely, proteins destined for the secretory pathway and vesicular transport have older ubiquitinated populations. Our data also identified a smaller subset of very old ubiquitinated cellular proteins that do not appear to be targeted to the proteasome for rapid degradation. Together, our data provide an age census of the human ubiquitinome and establish proteome birthdating as a robust methodology for investigating the protein age-selectivity of diverse cellular pathways. Significance Statement Cellular proteins have widely different ages - whereas some have been recently synthesized, others have existed in the cell for days or even years. How a protein’s age influences its functions and interactions is largely unknown because it is difficult to globally differentiate proteins based on their time of synthesis. To address this challenge, we developed an analytical method named “proteome birthdating” that can partition cellular proteins into multiple discernible age groups. As an example application, we used proteome birthdating to examine the protein age-selectivity of the ubiquitin proteasome system, a major protein degradation pathway in eukaryotes. Our results show that proteins destined for degradation by this pathway consist of either particularly young or particularly old proteins, with the former being the predominant population. Together, our results establish proteome birthdating as a useful approach for analyzing the turnover of proteins and investigating the functional consequences of their age.
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Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
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
Self-citationExtremely 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
Flagged first, then by citations
Research works printed but not linked: 43
- Doherty, 2006, Protein turnover on the scale of the proteome, Expert Rev. Proteomics, 3, 97, 10.1586/14789450.3.1.97 · DOI
- Ross, 2021, Proteome turnover in the spotlight: approaches, applications, and Perspectives, Mol. Cell. Proteomics, 20, 10.1074/mcp.R120.002190 · DOI
- Fornasiero, 2018, Precisely measured protein lifetimes in the mouse brain reveal differences across tissues and subcellular fractions, Nat. Commun., 9, 4230, 10.1038/s41467-018-06519-0 · DOI
- Hasper, 2023, Turnover and replication analysis by isotope labeling (TRAIL) reveals the influence of tissue context on protein and organelle lifetimes, Mol. Syst. Biol., 19, 10.15252/msb.202211393 · DOI
- Swovick, 2021, Interspecies differences in proteome turnover kinetics are correlated with life Spans and Energetic Demands, Mol. Cell. Proteomics, 20, 10.1074/mcp.RA120.002301 · DOI · Paper page
- Wang, 2013, A cotranslational ubiquitination pathway for quality control of misfolded proteins, Mol. Cell, 50, 368, 10.1016/j.molcel.2013.03.009 · DOI
- Schubert, 2000, Rapid degradation of a large fraction of newly synthesized proteins by proteasomes, Nature, 404, 770, 10.1038/35008096 · DOI
- Kim, 2011, Systematic and quantitative assessment of the ubiquitin-modified proteome, Mol. Cell, 44, 325, 10.1016/j.molcel.2011.08.025 · DOI
- Brandman, 2012, A ribosome-bound quality control complex triggers degradation of nascent peptides and signals translation stress, Cell, 151, 1042, 10.1016/j.cell.2012.10.044 · DOI
- Reits, 2000, The major substrates for TAP in vivo are derived from newly synthesized proteins, Nature, 404, 774, 10.1038/35008103 · DOI
- Goldberg, 2003, Protein degradation and protection against misfolded or damaged proteins, Nature, 426, 895, 10.1038/nature02263 · DOI · Paper page
- Alves-Rodrigues, 1998, Ubiquitin, cellular inclusions and their role in neurodegeneration, Trends Neurosci., 21, 516, 10.1016/S0166-2236(98)01276-4 · DOI · Paper page
- Sitte, 1998, Proteasome-dependent degradation of oxidized proteins in MRC-5 fibroblasts, FEBS Lett., 440, 399, 10.1016/S0014-5793(98)01495-1 · DOI
- Jayaraj, 2020, Functional Modules of the proteostasis network, Cold Spring Harb. Perspect. Biol., 12, 10.1101/cshperspect.a033951 · DOI
- Claydon, 2012, Proteome dynamics: revisiting turnover with a global perspective, Mol. Cell. Proteomics, 11, 1551, 10.1074/mcp.O112.022186 · DOI
- Hinkson, 2011, The dynamic state of protein turnover: it's about time, Trends Cell Biol., 21, 293, 10.1016/j.tcb.2011.02.002 · DOI
- Basisty, 2020, Accumulation of "old proteins" and the critical need for MS-based protein turnover measurements in aging and longevity, Proteomics, 20, 10.1002/pmic.201800403 · DOI
- Basisty, 2018, Protein turnover in aging and longevity, Proteomics, 18, 10.1002/pmic.201700108 · DOI
- Hebert, 2013, Neutron-encoded mass signatures for multiplexed proteome quantification, Nat. Methods, 10, 332, 10.1038/nmeth.2378 · DOI
- Merrill, 2014, NeuCode labels for relative protein quantification, Mol. Cell. Proteomics, 13, 2503, 10.1074/mcp.M114.040287 · DOI
- Zhang, 2017, Proteome-wide modulation of degradation dynamics in response to growth arrest, Proc. Natl. Acad. Sci. U. S. A., 114, E10329, 10.1073/pnas.1710238114 · DOI
- Kong, 2017, MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics, Nat. Methods, 14, 513, 10.1038/nmeth.4256 · DOI
- Chambers, 2012, A cross-platform toolkit for mass spectrometry and proteomics, Nat. Biotechnol., 30, 918, 10.1038/nbt.2377 · DOI
- Chen, 2015, Quantitative proteomics using SILAC: principles, applications, and developments, Proteomics, 15, 3175, 10.1002/pmic.201500108 · DOI
- Welle, 2016, Time-resolved analysis of proteome dynamics by Tandem mass Tags and stable isotope labeling in cell culture (TMT-SILAC) Hyperplexing, Mol. Cell. Proteomics, 15, 3551, 10.1074/mcp.M116.063230 · DOI
- Zhang, 2016, Global analysis of cellular protein flux quantifies the selectivity of basal autophagy, Cell Rep., 14, 2426, 10.1016/j.celrep.2016.02.040 · DOI
- Zhang, 2014, Kinetics of precursor labeling in stable isotope labeling in cell cultures (SILAC) experiments, Anal. Chem., 86, 11334, 10.1021/ac503067a · DOI
- Xu, 2010, Global analysis of lysine ubiquitination by ubiquitin remnant immunoaffinity profiling, Nat. Biotechnol., 28, 868, 10.1038/nbt.1654 · DOI
- Wagner, 2012, Proteomic analyses reveal divergent ubiquitylation site patterns in murine tissues, Mol. Cell. Proteomics, 11, 1578, 10.1074/mcp.M112.017905 · DOI
- Steger, 2022, Ubiquitinomics: history, methods, and applications in basic research and drug discovery, Proteomics, 22, 10.1002/pmic.202200074 · DOI
- Heil, 2023, Evaluating the performance of the Astral mass analyzer for quantitative proteomics using data-Independent acquisition, J. Proteome Res., 22, 3290, 10.1021/acs.jproteome.3c00357 · DOI
- Slavov, 2021, Single-cell protein analysis by mass spectrometry, Curr. Opin. Chem. Biol., 60, 1, 10.1016/j.cbpa.2020.04.018 · DOI · Paper page
- Brunner, 2022, Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation, Mol. Syst. Biol., 18, 10.15252/msb.202110798 · DOI · Paper page
- McShane, 2016, Kinetic analysis of protein stability reveals age-dependent degradation, Cell, 167, 803, 10.1016/j.cell.2016.09.015 · DOI
- Hammaren, 2022, Protein-peptide turnover profiling reveals the order of PTM addition and removal during protein maturation, Nat. Commun., 13, 7431, 10.1038/s41467-022-35054-2 · DOI
- Hipp, 2019, The proteostasis network and its decline in ageing, Nat. Rev. Mol. Cell Biol., 20, 421, 10.1038/s41580-019-0101-y · DOI · Paper page
- Zhu, 2022, Pulse labeling reveals the tail end of protein folding by proteome profiling, Cell Rep., 40, 10.1016/j.celrep.2022.111096 · DOI · Paper page
- Akopian, 2013, Signal recognition particle: an essential protein-targeting machine, Annu. Rev. Biochem., 82, 693, 10.1146/annurev-biochem-072711-164732 · DOI
- Liao, 2022, Non-proteolytic ubiquitylation in cellular signaling and human disease, Commun. Biol., 5, 114, 10.1038/s42003-022-03060-1 · DOI
- Verhoef, 2002, Aggregate formation inhibits proteasomal degradation of polyglutamine proteins, Hum. Mol. Genet., 11, 2689, 10.1093/hmg/11.22.2689 · DOI
- Lamark, 2012, Aggrephagy: selective disposal of protein aggregates by macroautophagy, Int. J. Cell Biol., 2012, 736905, 10.1155/2012/736905 · DOI
- Basisty, 2018, Stable isotope labeling reveals novel insights into ubiquitin-mediated protein aggregation with age, calorie restriction, and rapamycin treatment, J. Gerontol. A. Biol. Sci. Med. Sci., 73, 561, 10.1093/gerona/glx047 · DOI
- SCHIMKE, 1970, Regulation of protein degradation in mammalian tissues, Mamm. Protein Metab., 4, 177, 10.1016/B978-0-12-510604-7.50010-4 · DOI
Metadata
- Authors
- Meadow, M. E., Broas, S., Hoare, M., Alimohammadi, F., Welle, K. A., Swovick, K., Hryhorenko, J. R., Martinez, J. C., Biashad, S. A., Seluanov, A., Gorbunova, V., Buchwalter, A., & Ghaemmaghami, S.
- Affiliations
- University of Rochester Medicine (US)
- University of Rochester (US)
- University of California, San Francisco (US)
- Corresponding author
- Ghaemmaghami, Sina
- ORCID
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2024-07
- Volume
- 23
- Issue
- 7
- Pages
- 100791
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC11260378
- OpenAlex
- W4398762793
- Cited by
- 12
- References
- 3
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 1
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1s10od025242-01)
- National Institute on Aging (R01AG046320, R01AG027237, P01AG047200, R37AG046320, P01AG051449)
- National Institute of General Medical Sciences (R35GM119502)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ubiquitin and proteasome pathways
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- protein half-life, ubiquitination, ubiquitinome, proteasomal degradation, nascent protein, secretory pathway, vesicle trafficking, protein complexes, protein degradation
- MeSH terms
- Humans, Proteome, Ubiquitin, Proteomics, Proteasome Endopeptidase Complex, Ubiquitination, Ubiquitinated Proteins, Proteolysis
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