The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
Genetics of Aging in the Fruit Fly,Drosophila melanogaster
Abstract
▪ Abstract Research into the mechanisms underlying the process of aging is emerging as an exciting area of biomedical research. Observations challenging the fundamental assumptions of aging have begun to rejuvenate the field, opening up aging research to fresh ideas and approaches. Genetic approaches, which have been successfully used to understand other complex biological phenomena, are beginning to reveal important patterns and conservations between the processes of aging in a variety of species including yeast, nematodes, flies, and mice. A combination of candidate and random gene alteration approaches, particularly in the fruitfly model system, Drosophila melanogaster, should prove to be especially valuable for elucidating the primary physiological systems involved in aging and life span determination.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Genes that regulate lifespan in animal models6–9 and human studies10–14 as well as multiple experimental paradigms, such as caloric restriction, heterochronic parabiosis and partial epigenetic reprogramming, have demonstrated that it is possible to manipulate ageing biology to ‘rejuvenate’ physiological functioning in complex model organisms15–28.”
From Measuring biological age using omics data (2022) · cites this paper as [7]
Citations
Cites
Oxidants, oxidative stress and the biology of ageing
Finkel, T., & Holbrook, N. J. (2000) · Nature · doi:10.1038/35041687 · Cited by 9,413
Gompertz, B. (1825) · Philosophical Transactions of the Royal Society of London · doi:10.1098/rstl.1825.0026 · Cited by 3,816
A C. elegans mutant that lives twice as long as wild type
Kenyon, C., Chang, J., Gensch, E., Rudner, A., & Tabtiang, R. (1993) · Nature · doi:10.1038/366461a0 · Cited by 3,387
Oxidative Stress, Caloric Restriction, and Aging
Sohal, R. S., & Weindruch, R. H. (1996) · Science · doi:10.1126/science.273.5271.59 · Cited by 3,133
IGF-1 receptor regulates lifespan and resistance to oxidative stress in mice
Holzenberger, M., Dupont, J., Ducos, B., Leneuve, P., Géloën, A., Even, P. C., Cervera, P., & Le Bouc, Y. (2003) · Nature · doi:10.1038/nature01298 · Cited by 2,109
Lin, S.-J., Defossez, P.-A., & Guarente, L. (2000) · Science · doi:10.1126/science.289.5487.2126 · Cited by 1,775
Tatar, M., Kopelman, A. H., Epstein, D., Tu, M., Yin, C. ‐., & Garofalo, R. S. (2001) · Science · doi:10.1126/science.1057987 · Cited by 1,630
Increased dosage of a sir-2 gene extends lifespan in Caenorhabditis elegans
Tissenbaum, H. A., & Guarente, L. (2001) · Nature · doi:10.1038/35065638 · Cited by 1,603
Extension of Life-Span by Loss of CHICO, a Drosophila Insulin Receptor Substrate Protein
Clancy, D. J., Gems, D., Harshman, L. G., Oldham, S., Stocker, H., Hafen, E., Leevers, S. J., & Partridge, L. (2001) · Science · doi:10.1126/science.1057991 · Cited by 1,436
Longevity, senescence and the genome
(1995) · General Pharmacology The Vascular System · doi:10.1016/0306-3623(95)90026-8 · Cited by 1,403
Research works printed but not linked: 3
- Feynman RP. 1999.What is and what should be the role of scientific culture in modern society.InThe Pleasure of Finding Things Out, pp. 435. Cambridge: Perseus
- Lamb MJ. 1978. Ageing. InThe Genetics and Biology of Drosophila, Vol. 2c, ed. M Ashburner, TRF Wright. London: Academic
- Medawar PB. 1957. An unsolved problem in biology. See Ref.56, pp. 45
Cited by
Sorted by citations
Measuring biological age using omics data
Rutledge, J., Oh, H., & Wyss-Coray, T. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00511-7 · Cited by 570
Drosophila neuropeptides in regulation of physiology and behavior
Nässel, D. R., & Winther, Å. M. E. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.04.010 · Cited by 498
Diabetic Larvae and Obese Flies—Emerging Studies of Metabolism in Drosophila
Baker, K. D., & Thummel, C. S. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.09.002 · Cited by 467
A Drosophila model for age-associated changes in sleep:wake cycles
Koh, K., Evans, J. M., Hendricks, J. C., & Sehgal, A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605903103 · Cited by 341
EVOLUTIONARY AND MECHANISTIC THEORIES OF AGING
Hughes, K. A., & Reynolds, R. M. (2004) · Annual Review of Entomology · doi:10.1146/annurev.ento.50.071803.130409 · Cited by 345
Metadata
- Authors
- Helfand, S. L., & Rogina, B.
- Affiliations
- UConn Health (US)
- ORCID
- Rogina, Blanka
- Venue
- Annual Review of Genetics
- Publisher
- Annual Reviews
- Published
- 2003-12
- Volume
- 37
- Issue
- 1
- Pages
- 329-348
- ISSN
- 0066-4197 (ISSN-L)
- 1545-2948
- OpenAlex
- W2165469555
- Cited by
- 152
- References
- 100
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 8 · 2023: 5 · 2022: 3 · 2021: 7 · 2020: 4 · 2019: 12 · 2018: 6 · 2017: 4 · 2016: 7 · 2015: 5 · 2014: 4 · 2013: 7 · 2012: 7
- FWCI
- 0.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Genetics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r03es011463-02, 1r03ag014532-01)
- National Institute on Aging (AG14532, R03AG020816, R37AG016667, AG20816)
- National Institute of Environmental Health Sciences (ES11463)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Keywords
- aging, Drosophila melanogaster, candidate gene approach, random mutagenesis
- MeSH terms
- Aging, Animals, Antioxidants, Chromatin, Drosophila melanogaster
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
