Evidence map›Paper›PMID 22093745›Full record

ArticleFEMS yeast research2011

Cellular responses of Saccharomyces cerevisiae at near-zero growth rates: transcriptome analysis of anaerobic retentostat cultures.

Léonie G M Boender, Antonius J A van Maris, Erik A F de Hulster, Marinka J H Almering, Ida J van der Klei, Marten Veenhuis, Johannes H de Winde, Jack T Pronk, Pascale Daran-Lapujade

Abstract read
In one paragraph

Article in FEMS yeast research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

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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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Léonie G M BoenderKluyver Centre for Genomics of Industrial Fermentation, Delft, The Netherlands.
Antonius J A van Maris
Erik A F de Hulster
Marinka J H Almering
Ida J van der Klei
Marten Veenhuis
Johannes H de Winde
Jack T Pronk
Pascale Daran-Lapujade

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extremely low specific growth rates (below 0.01 h(-1) ) represent a largely unexplored area of microbial physiology. In this study, anaerobic, glucose-limited retentostats were used to analyse physiological and genome-wide transcriptional responses of Saccharomyces cerevisiae to cultivation at near-zero specific growth rates. While quiescence is typically investigated as a result of carbon starvation, cells in retentostat are fed by small, but continuous carbon and energy supply. Yeast cells cultivated near-zero specific growth rates, while metabolically active, exhibited characteristics previously associated with quiescence, including accumulation of storage polymers and an increased expression of genes involved in exit from the cell cycle into G(0) . Unexpectedly, analysis of transcriptome data from retentostat and chemostat cultures showed, as specific growth rate was decreased, that quiescence-related transcriptional responses were already set in at specific growth rates above 0.025 h(-1) . These observations stress the need for systematic dissection of physiological responses to slow growth, quiescence, ageing and starvation and indicate that controlled cultivation systems such as retentostats can contribute to this goal. Furthermore, cells in retentostat do not (or hardly) divide while remaining metabolically active, which emulates the physiological status of metazoan post-mitotic cells. We propose retentostat as a powerful cultivation tool to investigate chronological ageing-related processes.

Indexed as

AnaerobiosisCluster AnalysisCulture MediaGene Expression ProfilingGene Expression Regulation, FungalGlucoseOligonucleotide Array Sequence AnalysisRNA, FungalRNA, MessengerSaccharomyces cerevisiaeTime FactorsTranscription, GeneticTranscriptomeCulture MediaGlucoseRNA, FungalRNA, Messenger

Identifiers

PMID22093745
PMCPMC3498732

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Registered trials

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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.