Evidence map›Paper›PMID 22353713›Full record

ArticleNature communications2012

Stochastic signalling rewires the interaction map of a multiple feedback network during yeast evolution.

Chieh Hsu, Simone Scherrer, Antoine Buetti-Dinh, Prasuna Ratna, Julia Pizzolato, Vincent Jaquet, Attila Becskei

Abstract read
In one paragraph

Article in Nature communications, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  12. Impact of Methods on the Measurement of mRNA Turnover.International journal of molecular sciences · 2017
    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.

Chieh HsuBiozentrum, University of Basel, Klingelbergstrasse 50/70, Basel 4056, Switzerland.
Simone Scherrer
Antoine Buetti-Dinh
Prasuna Ratna
Julia Pizzolato
Vincent Jaquet
Attila Becskei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During evolution, genetic networks are rewired through strengthening or weakening their interactions to develop new regulatory schemes. In the galactose network, the GAL1/GAL3 paralogues and the GAL2 gene enhance their own expression mediated by the Gal4p transcriptional activator. The wiring strength in these feedback loops is set by the number of Gal4p binding sites. Here we show using synthetic circuits that multiplying the binding sites increases the expression of a gene under the direct control of an activator, but this enhancement is not fed back in the circuit. The feedback loops are rather activated by genes that have frequent stochastic bursts and fast RNA decay rates. In this way, rapid adaptation to galactose can be triggered even by weakly expressed genes. Our results indicate that nonlinear stochastic transcriptional responses enable feedback loops to function autonomously, or contrary to what is dictated by the strength of interactions enclosing the circuit.

Indexed as

Evolution, MolecularGene Regulatory NetworksSignal TransductionTranscription, GeneticBinding SitesDNA-Binding ProteinsGalactokinaseGalactoseMonosaccharide Transport ProteinsPromoter Regions, GeneticRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsStochastic ProcessesTranscription FactorsDNA-Binding ProteinsGAL1 protein, S cerevisiaeGAL2 protein, S cerevisiaeGal3 protein, S cerevisiaeGAL4 protein, S cerevisiaeGalactokinaseGalactoseMonosaccharide Transport ProteinsRNA, MessengerSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID22353713
PMCPMC3293423

What OpenQuestion holds

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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.