Evidence map›Paper›PMID 18387652›Full record

ReviewMechanisms of ageing and development

Coevolution of telomerase activity and body mass in mammals: from mice to beavers.

Vera Gorbunova, Andrei Seluanov

Abstract readReview
In one paragraph

Review in Mechanisms of ageing and development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

59 citing papers in PubMed, 139 citations in OpenAlex.

  1. Review
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  4. Telomeres in skin aging.Biogerontology · 2025
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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

2 authors at 1 institution in 1 country.

Vera GorbunovaDepartment of Biology, University of Rochester, Rochester, NY 14627, USA. vera.gorbunova@rochester.edu
Andrei Seluanov
University of Rochester · US

Funding

The role of SIRT6 posttranslational modifications in aging and genome stability. Supplement: Testing SIRT6 activators as potential Alzheimer's disease therapy.R01AG027237 · NIA · UNIVERSITY OF ROCHESTER · PI Vera Gorbunova · 2006 to 2026
$6.2M
Comparative Analysis of DNA Break Repair in Short- and Long-Lived Rodent SpeciesR01AG031227 · NIA · UNIVERSITY OF ROCHESTER · PI GORBUNOVA, VERA · 2008 to 2012
$1.6M
NIA NIH HHS R01 AG027237NIA NIH HHS R01 AG031227
6 · The paper itself

Abstract

Telomerase is repressed in the majority of human somatic tissues. As a result human somatic cells undergo replicative senescence, which plays an important role in suppressing tumorigenesis, and at the same time contributes to the process of aging. Repression of somatic telomerase activity is not a universal phenomenon among mammals. Mice, for example, express telomerase in somatic tissues, and mouse cells are immortal when cultured at physiological oxygen concentration. What is the status of telomerase in other animals, beyond human and laboratory mouse, and why do some species evolve repression of telomerase activity while others do not? Here we discuss the data on telomere biology in various mammalian species, and a recent study of telomerase activity in a large collection of wild rodent species, which showed that telomerase activity coevolves with body mass, but not lifespan. Large rodents repress telomerase activity, while small rodents maintain high levels of telomerase activity in somatic cells. We discuss a model that large body mass presents an increased cancer risk, which drives the evolution of telomerase suppression and replicative senescence.

Indexed as

Body SizeEvolution, MolecularAgingAnimalsMammalsMiceRodentiaSpecies SpecificityTelomeraseTelomerase

Identifiers

PMID18387652
PMCPMC3733351
OpenAlexW2029456327

What OpenQuestion holds

Textmetadata
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.