Evidence map›Paper›PMID 29097405›Full record

ArticleGenetics2018

The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level.

Gustavo Valadares Barroso, Natasa Puzovic, Julien Y Dutheil

Abstract read
In one paragraph

Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  5. bioRxiv : the preprint server for biology · 2025
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  9. Molecular models of bidirectional promoter regulation.Current opinion in structural biology · 2024
    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.

Gustavo Valadares BarrosoDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany gvbarroso@evolbio.mpg.de.ORCID 0000-0002-1943-9297
Natasa PuzovicDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany.
Julien Y DutheilDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany.ORCID 0000-0001-7753-4121

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biochemical reactions within individual cells result from the interactions of molecules, typically in small numbers. Consequently, the inherent stochasticity of binding and diffusion processes generates noise along the cascade that leads to the synthesis of a protein from its encoding gene. As a result, isogenic cell populations display phenotypic variability even in homogeneous environments. The extent and consequences of this stochastic gene expression have only recently been assessed on a genome-wide scale, owing, in particular, to the advent of single-cell transcriptomics. However, the evolutionary forces shaping this stochasticity have yet to be unraveled. Here, we take advantage of two recently published data sets for the single-cell transcriptome of the domestic mouse

Indexed as

Evolution, MolecularModels, GeneticSelection, GeneticTranscription, GeneticAnimalsComputational BiologyGene Expression ProfilingGene Expression RegulationGene OntologyGenome-Wide Association StudyGenomicsMiceProtein BindingProtein Interaction MappingProtein Interaction MapsSingle-Cell AnalysisTranscription Factorsbiological networksevolution of gene expressionexpression noiseMus musculussystems biology

Identifiers

PMID29097405
PMCPMC5753856

What OpenQuestion holds

Textmetadata
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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.