Deep proteome analysis identifies age-related processes in C. elegans
Open accessAbstract
Effective network analysis of protein data requires high-quality proteomic datasets. Here, we report a near doubling in coverage of the C. elegans adult proteome, identifying >11,000 proteins in total with ∼9,400 proteins reproducibly detected in three biological replicates. Using quantitative mass spectrometry, we identify proteins whose abundances vary with age, revealing a concerted downregulation of proteins involved in specific metabolic pathways and upregulation of cellular stress responses with advancing age. Among these are ∼30 peroxisomal proteins, including the PRX-5/PEX5 import protein. Functional experiments confirm that protein import into the peroxisome is compromised in vivo in old animals. We also studied the behavior of the set of age-variant proteins in chronologically age-matched, long-lived daf-2 insulin/IGF-1-pathway mutants. Unexpectedly, the levels of many of these age-variant proteins did not scale with extended lifespan. This indicates that, despite their youthful appearance and extended lifespans, not all aspects of aging are reset in these long-lived mutants.
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In aged versus young C. elegans, peroxisome number is increased and peroxisomal import efficiency is reduced.
“A recent proteomic study of C. elegans also showed an increase in peroxisome number, and reduced import efficiency in aged versus young worms (Narayan et al., 2016)”
From The cell biology of the retinal pigment epithelium (2020) · cites this paper as Narayan et al., 2016
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- Authors
- Narayan, V., Ly, T., Pourkarimi, E., Murillo, A. B., Gartner, A., Lamond, A. I., & Kenyon, C.
- Affiliations
- University of Dundee (GB)
- University of California, San Francisco (US)
- Corresponding author
- Kenyon, Cynthia
- Venue
- Cell Systems
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 3
- Issue
- 2
- Pages
- 144-159
- ISSN
- 2405-4712 (ISSN-L)
- PMC
- PMC5003814
- OpenAlex
- W2487117808
- Cited by
- 127
- References
- 60
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 15 · 2023: 7 · 2022: 17 · 2021: 17 · 2020: 13 · 2019: 12 · 2018: 8 · 2017: 15
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Cell Systems (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (acceptedVersion, cc-by)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion)
- Funders
- Wellcome Trust (073980, 073980/Z/03/BR, 098646/Z/12/Z, 0909444/Z/09/Z, 098646, 105024/Z/14/Z, 097945/C/11/Z)
- National Institutes of Health (R01‐grant, OD010440, P40OD010440)
- National Institute on Aging (R01AG011816)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Health Sciences › Medicine › Epidemiology › Autophagy in Disease and Therapy
- Keywords
- aging, Caenorhabditis elegans, peroxisome biogenesis, protein import, cellular stress response, lifespan extension, long-lived mutants, proteomics
- MeSH terms
- Animals, Signal Transduction, Caenorhabditis elegans, Proteome, Caenorhabditis elegans Proteins, Proteomics
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