Evidence map›Paper›PMID 19690569›Full record

ArticleMolecular systems biology2009

Control and signal processing by transcriptional interference.

Antoine Buetti-Dinh, Rosemarie Ungricht, János Z Kelemen, Chetak Shetty, Prasuna Ratna, Attila Becskei

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Large-Scale Functional Analysis of CRP-Mediated Feed-Forward Loops.International journal of molecular sciences · 2018
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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

6 authors at 2 institutions in 1 country.

Antoine Buetti-DinhInstitute of Molecular Biology, University of Zurich, Zurich, Switzerland.
Rosemarie Ungricht
János Z Kelemen
Chetak Shetty
Prasuna Ratna
Attila Becskei
University of Zurich · CHZHAW Zurich University of Applied Sciences · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A transcriptional activator can suppress gene expression by interfering with transcription initiated by another activator. Transcriptional interference has been increasingly recognized as a regulatory mechanism of gene expression. The signals received by the two antagonistically acting activators are combined by the polymerase trafficking along the DNA. We have designed a dual-control genetic system in yeast to explore this antagonism systematically. Antagonism by an upstream activator bears the hallmarks of competitive inhibition, whereas a downstream activator inhibits gene expression non-competitively. When gene expression is induced weakly, the antagonistic activator can have a positive effect and can even trigger paradoxical activation. Equilibrium and non-equilibrium models of transcription shed light on the mechanism by which interference converts signals, and reveals that self-antagonism of activators imitates the behavior of feed-forward loops. Indeed, a synthetic circuit generates a bell-shaped response, so that the induction of expression is limited to a narrow range of the input signal. The identification of conserved regulatory principles of interference will help to predict the transcriptional response of genes in their genomic context.

Indexed as

Transcriptional ActivationBinding, CompetitiveDNAFlow CytometryGene ExpressionGene Expression Regulation, FungalGenome, FungalKineticsModels, GeneticPromoter Regions, GeneticProtein Structure, TertiarySaccharomyces cerevisiaeSignal TransductionSystems BiologyTranscription, GeneticDNA

Identifiers

PMID19690569
PMCPMC2736658
OpenAlexW2119038778

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.