Evidence map›Paper›PMID 22768836›Full record

ReviewCell metabolism2012

Replicative and chronological aging in Saccharomyces cerevisiae.

Valter D Longo, Gerald S Shadel, Matt Kaeberlein, Brian Kennedy

Abstract readReview
In one paragraph

Review in Cell metabolism, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 345 papers.

0numbers the graph read from it
0cells of the map it votes in
345citing papers in PubMed
–field-weighted citation impact
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

345 citing papers in PubMed.

  1. Metabolomic Profiling ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. The YeastInternational journal of molecular sciences · 2026
    Article
  12. Article
  13. Review
  14. Engineering robustSynthetic and systems biotechnology · 2025
    Article
  15. Article
  16. Engineering chronological lifespan toward a robust yeast cell factory.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. The leaves fall, yet the tree endures.Cellular and molecular life sciences : CMLS · 2025
    Review
  18. Cell membrane asymmetries and cellular aging.The Biochemical journal · 2025
    Review
  19. Article
  20. Article

285 more citing papers are in PubMed but not listed here.

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

4 authors.

Valter D LongoLongevity Institute, School of Gerontology, Department of Biological Sciences, and Norris Cancer Center, University of Southern California, 3715 McClintock Avenue, Los Angeles, CA 90089-0191, USA. vlongo@usc.edu
Gerald S Shadel
Matt Kaeberlein
Brian Kennedy

Funding

The Role of the Glucose-regulated Protein GRP78/BiP in Stress Resistance and AginP01AG034906 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LONGO, VALTER D. · 2011 to 2016
$9.3M
Role of Longevity Regulatory Pathways in Age-dependent Macro-molecular Damage inR01AG020642 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LONGO, VALTER D. · 2003 to 2017
$4.8M
TOR, Translation and AgingR01AG033373 · NIA · UNIVERSITY OF WASHINGTON · PI KENNEDY, BRIAN K · 2009 to 2013
$1.8M
Defining the Mechanisms of genotype-dependent responses to caloric restrictionR01AG039390 · NIA · UNIVERSITY OF WASHINGTON · PI KAEBERLEIN, MATT · 2011 to 2015
$1.5M
Genome-wide Analysis of Aging in YeastR01AG025549 · NIA · UNIVERSITY OF WASHINGTON · PI KENNEDY, BRIAN K · 2006 to 2010
$1.5M
Chronological Age-Dependent Genomic Instability in YeastR01AG025135 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LONGO, VALTER D. · 2006 to 2010
$1.3M
NIA NIH HHS AG025135NIA NIH HHS AG025549NIA NIH HHS AG033373NIA NIH HHS AG034906NIA NIH HHS AG039390NIA NIH HHS AG20642NIA NIH HHS P01 AG034906NIA NIH HHS R01 AG020642NIA NIH HHS R01 AG025135NIA NIH HHS R01 AG025549NIA NIH HHS R01 AG033373NIA NIH HHS R01 AG039390
6 · The paper itself

Abstract

Saccharomyces cerevisiae has directly or indirectly contributed to the identification of arguably more mammalian genes that affect aging than any other model organism. Aging in yeast is assayed primarily by measurement of replicative or chronological life span. Here, we review the genes and mechanisms implicated in these two aging model systems and key remaining issues that need to be addressed for their optimization. Because of its well-characterized genome that is remarkably amenable to genetic manipulation and high-throughput screening procedures, S. cerevisiae will continue to serve as a leading model organism for studying pathways relevant to human aging and disease.

Indexed as

AnimalsCell CycleGenes, FungalHumansLongevityMicrobial ViabilityNutritional Physiological PhenomenaOxidative StressSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID22768836
PMCPMC3392685

What OpenQuestion holds

Textmetadata
LicenceTDM
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.