Evidence map›Paper›PMID 22928081›Full record

ReviewOxidative medicine and cellular longevity2012

Yeast colonies: a model for studies of aging, environmental adaptation, and longevity.

Libuše Váchová, Michal Cáp, Zdena Palková

Open access · hybridAbstract readReview
In one paragraph

Review in Oxidative medicine and cellular longevity, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

39 citing papers in PubMed, 72 citations in OpenAlex.

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  11. Death happy: adaptive ageing and its evolution by kin selection in organisms with colonial ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  12. An approach to the photocatalytic mechanism in the TiOApplied catalysis. B, Environmental · 2020
    Review
  13. Article
  14. Biological lipid nanotubes and their potential role in evolution.The European physical journal. Special topics · 2020
    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

3 authors at 1 institution in 1 country.

Libuše VáchováInstitute of Microbiology of the ASCR, vvi, Prague, Czech Republic.
Michal Cáp
Zdena Palková
Charles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When growing on solid surfaces, yeast, like other microorganisms, develops organized multicellular populations (colonies and biofilms) that are composed of differentiated cells with specialized functions. Life within these populations is a prevalent form of microbial existence in natural settings that provides the cells with capabilities to effectively defend against environmental attacks as well as efficiently adapt and survive long periods of starvation and other stresses. Under such circumstances, the fate of an individual yeast cell is subordinated to the profit of the whole population. In the past decade, yeast colonies, with their complicated structure and high complexity that are also developed under laboratory conditions, have become an excellent model for studies of various basic cellular processes such as cell interaction, signaling, and differentiation. In this paper, we summarize current knowledge on the processes related to chronological aging, adaptation, and longevity of a colony cell population and of its differentiated cell constituents. These processes contribute to the colony ability to survive long periods of starvation and mostly differ from the survival strategies of individual yeast cells.

Indexed as

Adaptation, PhysiologicalEnvironmentModels, BiologicalAnimalsColony Count, MicrobialHumansLongevityTime FactorsYeasts

Identifiers

PMID22928081
PMCPMC3425895
OpenAlexW2074134296

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.