Evidence map›Paper›PMID 21933814›Full record

ArticleNucleic acids research2012

Regulation of conditional gene expression by coupled transcription repression and RNA degradation.

Mathieu Lavoie, Dongling Ge, Sherif Abou Elela

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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.

Mathieu LavoieRNA Group, Département de microbiologie et d'infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, Canada, J1H 5N4.
Dongling Ge
Sherif Abou Elela
Université de Sherbrooke · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Gene expression is determined by a combination of transcriptional and post-transcriptional regulatory events that were thought to occur independently. This report demonstrates that the genes associated with the Snf3p-Rgt2p glucose-sensing pathway are regulated by interconnected transcription repression and RNA degradation. Deletion of the dsRNA-specific ribonuclease III Rnt1p increased the expression of Snf3p-Rgt2p-associated transcription factors in vivo and the recombinant enzyme degraded their messenger RNA in vitro. Surprisingly, Rnt1ps effect on gene expression in vivo was both RNA and promoter dependent, thus linking RNA degradation to transcription. Strikingly, deletion of RNT1-induced promoter-specific transcription of the glucose sensing genes even in the absence of RNA cleavage signals. Together, the results presented here support a model in which co-transcriptional RNA degradation increases the efficiency of gene repression, thereby allowing an effective cellular response to the continuous changes in nutrient concentrations.

Indexed as

Gene Expression Regulation, FungalRNA StabilityTranscription, GeneticAdaptor Proteins, Signal TransducingDNA-Binding ProteinsGlucoseMonosaccharide Transport ProteinsPromoter Regions, GeneticRibonuclease IIIRNA, MessengerRNA Polymerase IISaccharomyces cerevisiae ProteinsTranscription FactorsAdaptor Proteins, Signal TransducingDNA-Binding ProteinsGlucoseMonosaccharide Transport ProteinsMTH1 protein, S cerevisiaeRGT1 protein, S cerevisiaeRGT2 protein, S cerevisiaeRibonuclease IIIRNA, MessengerRNA Polymerase IIRNT1 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsSNF3 protein, S cerevisiaeTranscription Factors

Identifiers

PMID21933814
PMCPMC3258148
OpenAlexW2156016589

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.