PreprintCited by 73Genetics, Aging, and Longevity in Model OrganismsUbiquitin and proteasome pathwaysAutophagy in Disease and Therapy

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Interspecies differences in proteome turnover kinetics are correlated with lifespans and energetic demands

Open access

Preprint — published as 10.1074/mcp.ra120.002301 · Paper page

Abstract

Cells continually degrade and replace damaged and old proteins. However, the high energetic demand of protein turnover generates reactive oxygen species (ROS) that compromise the long-term health of the proteome. Thus, the relationship between aging, protein turnover and energetic demand remains unclear. Here, we used a proteomic approach to measure rates of protein turnover within primary fibroblasts isolated from a number of species with diverse lifespans including the longest-lives rodent, the naked mole rat and the longest-lived mammal, the bowhead whale. We show that organismal lifespan is negatively correlated with turnover rates of highly abundant proteins. In comparison to mice, cells from long-lived naked mole rats have slower rates of protein turnover, lower levels of ATP production and reduced ROS levels. Despite having slower rates of protein turnover, naked mole rat cells tolerate protein misfolding stress more effectively than mouse cells. We suggest that in lieu of rapid constitutive turnover, long-lived species may have evolved more energetically efficient mechanisms for selective detection and clearance of damaged proteins.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2020.04.25.061150

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 73

  1. 10.1083/jcb.201709072 · DOI
  2. 10.1146/annurev-biochem-060614-033955 · DOI · Paper page
  3. 10.1146/annurev-biochem-060815-014616 · DOI
  4. 2002, Dynamics of protein turnover, a missing dimension in proteomics, Molecular & cellular proteomics: MCP, 1, 579, 10.1074/mcp.M200046-MCP200 · DOI
  5. Basisty N , Holtz A , Schilling B . Accumulation of “Old Proteins” and the Critical Need for MS-based Protein Turnover Measurements in Aging and Longevity. Proteomics. 2019:e1800403. · DOI
  6. Basisty N , Meyer J , Schilling B . Protein Turnover in Aging and Longevity. PROTEOMICS. 2018;18:1700108. · DOI
  7. 10.1016/j.cell.2013.05.039 · DOI · Paper page
  8. 2018, Systematic analysis of protein turnover in primary cells, Nature Communications, 9, 689, 10.1038/s41467-018-03106-1 · DOI
  9. 10.1073/pnas.1006551107 · DOI · Paper page
  10. 2013, 3rd, et al. Identification of long-lived proteins reveals exceptional stability of essential cellular structures. Cell, 154, 971
  11. 1986, In vivo half-life of a protein is a function of its amino-terminal residue. Science (New York, NY, 234, 179, 10.1126/science.3018930 · DOI
  12. 10.1073/pnas.72.10.3893 · DOI
  13. 10.1042/bj1780305 · DOI
  14. 10.1038/328834a0 · DOI
  15. 10.1006/dbio.2001.0153 · DOI
  16. 1986, Amino acid sequences common to rapidly degraded proteins: the PEST hypothesis. Science (New York, NY, 234, 364, 10.1126/science.2876518 · DOI
  17. 2016, Global Analysis of Cellular Protein Flux Quantifies the Selectivity of Basal Autophagy, Cell Reports, 14, 2426, 10.1016/j.celrep.2016.02.040 · DOI
  18. 10.1021/pr101183k · DOI · Paper page
  19. 10.1016/j.celrep.2014.10.065 · DOI · Paper page
  20. 2016, Proteome Dynamics: Tissue Variation in the Kinetics of Proteostasis in Intact Animals. Molecular & cellular proteomics: MCP, 15, 1204
  21. Swovick K , Welle KA , Hryhorenko J , Seluanov A , Gorbunova V , Ghaemmaghami S. Cross-species comparison of proteome turnover kinetics. Molecular & Cellular Proteomics. 2018:mcp.RA117.000574. · DOI
  22. 10.1146/annurev.bi.43.070174.004155 · DOI
  23. 10.1146/annurev.bi.39.070170.004433 · DOI
  24. 2016, In vivo aspects of protein folding and quality control. Science (New York, NY, 353, aac4354, 10.1126/science.aac4354 · DOI
  25. 2014, Proteostasis and neurodegeneration: The roles of proteasomal degradation and autophagy, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, 1, 197
  26. 10.1016/j.cell.2011.07.030 · DOI · Paper page
  27. 10.1016/S0047-6374(01)00337-2 · DOI
  28. 2014, The role of protein clearance mechanisms in organismal ageing and age-related diseases, Nature Communications, 5, 5659, 10.1038/ncomms6659 · DOI
  29. 2012, Proteome Dynamics: Revisiting Turnover with a Global Perspective, Molecular & Cellular Proteomics, 11, 1551, 10.1074/mcp.O112.022186 · DOI
  30. 2003, Impact of ageing on proteasome structure and function in human lymphocytes, The International Journal of Biochemistry & Cell Biology, 35, 728, 10.1016/S1357-2725(02)00356-4 · DOI · Paper page
  31. 10.1093/gerona/glv221 · DOI
  32. 1996, Alteration of rat liver 20S proteasome activities by age and food restriction, J Gerontol A Biol Sci Med Sci, 51, B316
  33. 10.1096/fj.04-2578fje · DOI · Paper page
  34. 10.1016/S0306-4522(00)00067-1 · DOI · Paper page
  35. 10.1016/j.arr.2010.02.001 · DOI · Paper page
  36. Popa-Wagner A , Sandu RE , Cristin C , Uzoni A , Welle KA , Hryhorenko JR , et al. Increased Degradation Rates in the Components of the Mitochondrial Oxidative Phosphorylation Chain in the Cerebellum of Old Mice. Front Aging Neurosci. 2018;10:32. · DOI
  37. 2010, Chaperone-mediated autophagy: selectivity pays off, Trends in endocrinology and metabolism: TEM, 21, 142, 10.1016/j.tem.2009.10.003 · DOI · Paper page
  38. 10.4161/auto.1.3.2017 · DOI · Paper page
  39. 10.1073/pnas.0902882106 · DOI · Paper page
  40. 2017, Changes of Protein Turnover in Aging Caenorhabditis elegans, Molecular & cellular proteomics: MCP, 16, 1621, 10.1074/mcp.RA117.000049 · DOI
  41. 2016, Proteome-wide Changes in Protein Turnover Rates in C. elegans Models of Longevity and Age-Related Disease, Cell Reports, 16, 3041, 10.1016/j.celrep.2016.08.025 · DOI
  42. 2017, Stable Isotope Labeling Reveals Novel Insights Into Ubiquitin-Mediated Protein Aggregation With Age, Calorie Restriction, and Rapamycin Treatment, . The Journals of Gerontology: Series A, 73, 561
  43. 10.1111/acel.12203 · DOI
  44. 10.1111/acel.12317 · DOI
  45. 2016, Reduced in vivo hepatic proteome replacement rates but not cell proliferation rates predict maximum lifespan extension in mice, Aging Cell, 15, 118, 10.1111/acel.12414 · DOI
  46. Seluanov A , Vaidya A , Gorbunova V . Establishing primary adult fibroblast cultures from rodents. Journal of visualized experiments: JoVE. 2010(44). · DOI
  47. 10.1002/pmic.200800275 · DOI · Paper page
  48. 10.1073/pnas.1710238114 · DOI
  49. 10.1021/ac503067a · DOI
  50. 2011, Proteome Half-Life Dynamics in Living Human Cells. Science (New York, NY, 331, 764, 10.1126/science.1199784 · DOI
  51. 10.1086/284325 · DOI · Paper page
  52. 1988, The 19 S multicatalytic “prosome” proteinase is a constitutive enzyme in HeLa cells, Biochem Int, 17, 471
  53. 10.2460/javma.242.4.458. · DOI
  54. 10.1038/nature02046 · DOI · Paper page
  55. 10.1016/S0891-5849(00)00417-2 · DOI
  56. 2005, The Naked Mole-Rat: A New Long-Living Model for Human Aging Research, The Journals of Gerontology, 60, 1369
  57. 2008, Rodents for comparative aging studies: from mice to beavers, Age (Dordr, 30, 111, 10.1007/s11357-008-9053-4 · DOI
  58. 10.1074/jbc.M116.774471 · DOI
  59. 10.1155/2016/3565127 · DOI · Paper page
  60. 10.1074/jbc.M113.514372 · DOI
  61. 10.1042/bj0640323 · DOI
  62. 10.1074/jbc.C100487200 · DOI
  63. 2000, Upregulation of cytosolic chaperonin CCT subunits during recovery from chemical stress that causes accumulation of unfolded proteins, Eur J Biochem, 267, 1658, 10.1046/j.1432-1327.2000.01157.x · DOI
  64. 10.1146/annurev.biochem.78.081507.101607 · DOI · Paper page
  65. 10.1073/pnas.1313473110 · DOI
  66. 10.1073/pnas.0809620106 · DOI · Paper page
  67. 10.1146/annurev.bi.43.070174.004155 · DOI
  68. 10.1016/j.cell.2016.09.015 · DOI
  69. 10.1093/emboj/19.1.94 · DOI
  70. 10.1038/nbt.1511 · DOI · Paper page
  71. Gierlinski M , Gastaldello F , Cole C , Barton GJ. Proteus: an R package for downstream analysis of MaxQuant output. bioRxiv. 2018:416511. · DOI
  72. Eden E , Navon R , Steinfeld I , Lipson D , Yakhini Z . GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinformatics. 2009;10:48. · DOI · Paper page
  73. Cooper GM. The Molecular Composition of Cells. The Cell: A Molecular Approach 2nd edition: Sunderland (MA): Sinauer Associates; 2000.

Metadata

Authors
Swovick, K., Firsanov, D., Welle, K. A., Hryhorenko, J. R., Wise, J. P., George, C., Sformo, T. L., Seluanov, A., Gorbunova, V., & Ghaemmaghami, S.
Affiliations
  • University of Rochester (US)
  • University of Louisville (US)
  • North Slope Borough (US)
  • University of Alaska Fairbanks (US)
Corresponding author
Ghaemmaghami, Sina
Venue
Molecular & Cellular Proteomics
Publisher
openRxiv
Published
2020-04-27
Volume
20
Pages
100041-100041
ISSN
1535-9476 (ISSN-L)
OpenAlex
W3115575573
Cited by
73
References
1
Citations by year
2026: 8 · 2025: 11 · 2024: 13 · 2023: 10 · 2022: 19 · 2021: 11 · 2020: 1
FWCI
1.29
Type
journal article
Language
en
Open access
Locations
  • Molecular & Cellular Proteomics (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Foundation for the National Institutes of Health
  • National Institutes of Health (S100D021486, 1s10od025242-01, AG047200)
  • National Institute on Aging (R01AG027237, P01AG047200, R37AG046320, P01AG051449)
  • National Institute of General Medical Sciences (R35GM119502)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ubiquitin and proteasome pathways
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Autophagy in Disease and Therapy
Keywords
protein turnover, energy requirements, reactive oxygen species, naked mole-rat, bowhead whale, fibroblasts, ATP production, protein degradation, aging, cross-species comparison
MeSH terms
Amino Acids, Animals, Pharmaceutical Preparations, Humans, Kinetics, Light, Longevity, Radioisotopes, Species Specificity, Proteome, Proteomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review