Evidence map›Paper›PMID 23144747›Full record

ArticlePloS one2012

Prediction of C. elegans longevity genes by human and worm longevity networks.

Robi Tacutu, David E Shore, Arie Budovsky, João Pedro de Magalhães, Gary Ruvkun, Vadim E Fraifeld, Sean P Curran

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 22% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  18. The Energy Maintenance Theory of Aging: Maintaining Energy Metabolism to Allow Longevity.BioEssays : news and reviews in molecular, cellular and developmental biology · 2018
    Review
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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

7 authors at 4 institutions in 3 countries.

Robi TacutuThe Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
David E Shore
Arie Budovsky
João Pedro de Magalhães
Gary Ruvkun
Vadim E Fraifeld
Sean P Curran
Ben-Gurion University of the Negev · ILMassachusetts General Hospital · USUniversity of Liverpool · GBUniversity of Southern California · US

Funding

GENETIC AND MOLECULAR BASIS OF LONGEVITYR01AG016636 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI GARY B RUVKUN · 1999 to 2026
$12.4M
Evolutionarily conserved mechanisms of lifespan regulationR00AG032308 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CURRAN, SEAN P · 2011 to 2013
$746k
Evolutionarily conserved mechanisms of lifespan regulationK99AG032308 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI CURRAN, SEAN P · 2009 to 2010
$197k
NIA NIH HHS AG16636NIA NIH HHS K99 AG032308NIA NIH HHS NIH AG032308NIA NIH HHS R00 AG032308NIA NIH HHS R01 AG016636Wellcome TrustWellcome Trust ME050495MES
6 · The paper itself

Abstract

Intricate and interconnected pathways modulate longevity, but screens to identify the components of these pathways have not been saturating. Because biological processes are often executed by protein complexes and fine-tuned by regulatory factors, the first-order protein-protein interactors of known longevity genes are likely to participate in the regulation of longevity. Data-rich maps of protein interactions have been established for many cardinal organisms such as yeast, worms, and humans. We propose that these interaction maps could be mined for the identification of new putative regulators of longevity. For this purpose, we have constructed longevity networks in both humans and worms. We reasoned that the essential first-order interactors of known longevity-associated genes in these networks are more likely to have longevity phenotypes than randomly chosen genes. We have used C. elegans to determine whether post-developmental inactivation of these essential genes modulates lifespan. Our results suggest that the worm and human longevity networks are functionally relevant and possess a high predictive power for identifying new longevity regulators.

Indexed as

Gene Regulatory NetworksAgingAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsGenes, EssentialGenes, HelminthHumansLongevityModels, GeneticProtein Interaction MapsSignal TransductionCaenorhabditis elegans Proteins

Identifiers

PMID23144747
PMCPMC3483217
OpenAlexW2060694610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.