The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The temporal scaling of Caenorhabditis elegans ageing
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.
Integrity signals
Registry
Cites
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A one-dimensional representation of the complex biochemistry and phenotypes of aging is supported by analyses of aging data.
“The possibility of such a one-dimensional representation of the complex biochemistry and phenotypes of aging21–25 is supported by analyses of aging data26–30.”
From A damage accumulation model identifies distinct aging regimes across species (2026) · cites this paper as [30]
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
Regulation of aging and age-related disease by DAF-16 and heat-shock factor
Hsu, A.-L., Murphy, C. T., & Kenyon, C. (2003) · Science · doi:10.1126/science.1083701 · Cited by 1,513
Stochastic and genetic factors influence tissue-specific decline in ageing C. elegans
Herndon, L. A., Schmeissner, P. J., Dudaronek, J. M., Brown, P. A., Listner, K. M., Sakano, Y., Paupard, M. C., Hall, D. H., & Driscoll, M. (2002) · Nature · doi:10.1038/nature01135 · Cited by 1,214
Tissue-Specific Activities of C. elegans DAF-16 in the Regulation of Lifespan
Libina, N., Berman, J. R., & Kenyon, C. (2003) · Cell · doi:10.1016/s0092-8674(03)00889-4 · Cited by 820
Transgenic Mice with a Reduced Core Body Temperature Have an Increased Life Span
Conti, B., Sanchez-Alavez, M., Winsky-Sommerer, R., Morale, M. C., Lucero, J., Brownell, S., Fabre, V., Huitron-Resendiz, S., Henriksen, S., Zorrilla, E. P., et al. (2006) · Science · doi:10.1126/science.1132191 · Cited by 392
Flagged first, then by citations
Research works printed but not linked: 29
- Pincus, Z., Smith-Vikos, T. & Slack, F. J. MicroRNA predictors of longevity in Caenorhabditis elegans . PLoS Genet. 7, e1002306 (2011) · DOI
- Shaw, R. F. & Bercaw, B. L. Temperature and life-span in poikilothermous animals. Nature 196, 454–457 (1962) · DOI
- Mair, W., Goymer, P., Pletcher, S. D. & Partridge, L. Demography of dietary restriction and death in Drosophila . Science 301, 1731–1733 (2003) · DOI
- Wu, D., Rea, S. L., Cypser, J. R. & Johnson, T. E. Mortality shifts in Caenorhabditis elegans: remembrance of conditions past. Aging Cell 8, 666–675 (2009) · DOI
- Lithgow, G. J., White, T. M., Melov, S. & Johnson, T. E. Thermotolerance and extended life-span conferred by single-gene mutations and induced by thermal stress. Proc. Natl Acad. Sci. USA 92, 7540–7544 (1995) · DOI · Paper page
- Stroustrup, N. et al. The Caenorhabditis elegans lifespan machine. Nature Methods 10, 665–670 (2013) · DOI
- Johnson, T. E., Wu, D., Tedesco, P., Dames, S. & Vaupel, J. W. Age-specific demographic profiles of longevity mutants in Caenorhabditis elegans show segmental effects. J. Gerontol. A 56, B331–B339 (2001) · DOI
- Swindell, W. R. Accelerated failure time models provide a useful statistical framework for aging research. Exp. Gerontol. 44, 190–200 (2009) · DOI
- Vaupel, J. W., Manton, K. G. & Stallard, E. The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16, 439–454 (1979) · DOI · Paper page
- Martin, G. M., Austad, S. N. & Johnson, T. E. Genetic analysis of ageing: role of oxidative damage and environmental stresses. Nature Genet. 13, 25–34 (1996) · DOI
- Tullet, J. M. et al. Direct inhibition of the longevity-promoting factor SKN-1 by insulin-like signaling in C. elegans . Cell 132, 1025–1038 (2008) · DOI · Paper page
- Landis, J. N. & Murphy, C. T. Integration of diverse inputs in the regulation of Caenorhabditis elegans DAF-16/FOXO. Dev. Dyn. 239, 1405–1412 (2010) · DOI
- Leiser, S. F., Begun, A. & Kaeberlein, M. HIF-1 modulates longevity and healthspan in a temperature-dependent manner. Aging Cell 10, 318–326 (2011) · DOI
- Kirkwood, T. B. & Shanley, D. P. Food restriction, evolution and ageing. Mech. Ageing Dev. 126, 1011–1016 (2005) · DOI
- Garigan, D. et al. Genetic analysis of tissue aging in Caenorhabditis elegans: a role for heat-shock factor and bacterial proliferation. Genetics 161, 1101–1112 (2002) · DOI · Paper page
- Lakowski, B. & Hekimi, S. The genetics of caloric restriction in Caenorhabditis elegans . Proc. Natl Acad. Sc. USA 95, 13091–13096 (1998) · DOI
- Suda, H., Sato, K. & Yanase, S. Timing mechanism and effective activation energy concerned with aging and lifespan in the long-lived and thermosensory mutants of Caenorhabditis elegans . Mech. Ageing Dev. 133, 600–610 (2012) · DOI
- Atlan, H., Miquel, J., Helmle, L. C. & Dolkas, C. B. Thermodynamics of aging in Drosophila melanogaster . Mech. Ageing Dev. 5, 371–387 (1976) · DOI
- Murphy, C. T. et al. Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans . Nature 424, 277–283 (2003) · DOI · Paper page
- Walker, G., Houthoofd, K., Vanfleteren, J. R. & Gems, D. Dietary restriction in C. elegans: from rate-of-living effects to nutrient sensing pathways. Mech. Ageing Dev. 126, 929–937 (2005) · DOI
- McColl, G. et al. Insulin-like signaling determines survival during stress via posttranscriptional mechanisms in C. elegans . Cell Metab. 12, 260–272 (2010) · DOI
- Oliveira, R. P. et al. Condition-adapted stress and longevity gene regulation by Caenorhabditis elegans SKN-1/Nrf. Aging Cell 8, 524–541 (2009) · DOI
- Aalen, O. O. & Gjessing, H. K. Understanding the shape of the hazard rate: a process point of view. Stat. Sci. 16, 1–14 (2001) · DOI
- Gladyshev, V. N. The origin of aging: imperfectness-driven non-random damage defines the aging process and control of lifespan. Trends Genet. 29, 506–512 (2013) · DOI
- Samuelson, A. V., Carr, C. E. & Ruvkun, G. Gene activities that mediate increased life span of C. elegans insulin-like signaling mutants. Genes Dev. 21, 2976–2994 (2007) · DOI
- Stiernagle, T. in WormBook (ed. The C. elegans Research Community) http://dx.doi.org/10.1895/wormbook.1.101.1 (February 11, 2006) · DOI
- Baeriswyl, S. et al. Modulation of aging profiles in isogenic populations of Caenorhabditis elegans by bacteria causing different extrinsic mortality rates. Biogerontology 11, 53–65 (2010) · DOI
- Wilkinson, D. S., Taylor, R. C. & Dillin, A. Analysis of aging in Caenorhabditis elegans . Methods Cell Biol. 107, 353–381 (2012) · DOI
- Rebora, P., Salim, A. & Reilly, M. bshazard: a flexible tool for nonparametric smoothing of the hazard function. R J . 6, 114–122 (2014) · DOI
Cited by
Sorted by citations
Cockayne syndrome: Clinical features, model systems and pathways
Karikkineth, A. C., Scheibye-Knudsen, M., Fivenson, E., Croteau, D. L., & Bohr, V. A. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2016.08.002 · Cited by 262
Dynamics of life expectancy and life span equality
Aburto, J. M., Villavicencio, F., Basellini, U., Kjærgaard, S., & Vaupel, J. W. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1915884117 · Cited by 254
A complex systems approach to aging biology
Cohen, A. A., Ferrucci, L., Fülöp, T., Gravel, D., Hao, N., Kriete, A., Levine, M. E., Lipsitz, L. A., Olde Rikkert, M. G. M., Rutenberg, A., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00252-6 · Cited by 221
Self-citationThe emergence of longevous populations
Colchero, F., Rau, R., Jones, O. R., Barthold, J. A., Conde, D. A., Lenart, A., Nemeth, L., Scheuerlein, A., Schoeley, J., Torres, C., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612191113 · Cited by 182
Proteostasis collapse is a driver of cell aging and death
Santra, M., Dill, K. A., & de Graff, A. M. R. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1906592116 · Cited by 175
Senescent cell turnover slows with age providing an explanation for the Gompertz law
Karin, O., Agrawal, A., Porat, Z., Krizhanovsky, V., & Alon, U. (2019) · Nature Communications · doi:10.1038/s41467-019-13192-4 · Cited by 151
BiT age: A transcriptome‐based aging clock near the theoretical limit of accuracy
Meyer, D. H., & Schumacher, B. (2021) · Aging Cell · doi:10.1111/acel.13320 · Cited by 165
A damage accumulation model identifies distinct aging regimes across species
Raz, N., Yang, Y., Pridham, G., Shenhar, B., Frenkel, S., Levy, T., Tlusty, T., Mayo, A., & Alon, U. (2026) · Nature Aging · doi:10.1038/s43587-026-01138-7 · Cited by 7
Metadata
- Authors
- Stroustrup, N., Anthony, W. E., Nash, Z. M., Gowda, V., Gomez, A., López-Moyado, I. F., Apfeld, J., & Fontana, W.
- Venue
- Nature
- Published
- 2016-01-27
- Volume
- 530
- Issue
- 7588
- Pages
- 103-107
- ISSN
- 0028-0836
- 1476-4687
- PMC
- PMC4828198
- Cited by
- 196
- References
- 4
- Language
- en
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