Evidence map›Paper›PMID 20738285›Full record

ArticleAnnals of the New York Academy of Sciences2010

Reproductive aging in invertebrate genetic models.

Marc Tatar

Open access · greenAbstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Review
  3. Male aging in germ cells: What are we inheriting?Genetics and molecular biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Aging studies in Drosophila melanogaster.Methods in molecular biology (Clifton, N.J.) · 2013
    Article
  18. Article
  19. Healthy aging - insights from Drosophila.Frontiers in physiology · 2012
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Marc TatarDepartment of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912, USA. Marc_Tatar@Brown.edu
Brown University · US

Funding

Genetics of Reproductive SenescenceR01AG030329 · NIA · BROWN UNIVERSITY · PI TATAR, MARC · 2006 to 2010
$2.5M
MECHANISMS OF AGING REGULATION BY DROSOPHILA GERMLINER01AG031152 · NIA · BROWN UNIVERSITY · PI TATAR, MARC · 2008 to 2012
$1.8M
NIA NIH HHS R01 AG030329NIA NIH HHS R01 AG031152
6 · The paper itself

Abstract

The invertebrate genetic systems of Caenorhabditis elegans and Drosophila melanogaster are emerging models to understand the underlying mechanisms of reproductive aging and the relationship between reproduction and lifespan. Both animals show progressive decline in egg production beginning at early middle age, caused in part by reduction in germline stem cell proliferation as well as in survival of developing eggs. Molecular genetic analysis reveals that insulin and TGF-beta signaling are regulators of germline stem cell maintenance and proliferation during aging. Furthermore, the lifespan of both C. elegans and D. melanogaster appears to be regulated by signaling that depends on the presence of germline stem cells in the adult gonad. These invertebrate models provide powerful tools to dissect conserved causes of reproductive aging.

Indexed as

AgingAnimalsCaenorhabditis elegansDrosophila melanogasterInsulinInvertebratesModels, AnimalReproductionTransforming Growth Factor betaInsulinTransforming Growth Factor beta

Identifiers

PMID20738285
PMCPMC3125018
OpenAlexW1795336001

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.