Evidence map›Paper›PMID 21324878›Full record

ArticleGenome research2011

Gene regulatory networks and the role of robustness and stochasticity in the control of gene expression.

Lesley T Macneil, Albertha J M Walhout

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 175 papers.

0numbers the graph read from it
0cells of the map it votes in
175citing 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

175 citing papers in PubMed, 376 citations in OpenAlex.

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115 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Lesley T MacneilProgram in Gene Function and Expression and Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA.
Albertha J M Walhout
University of Massachusetts Chan Medical School · US

Funding

Transcription networks in C elegans organogenesisR01DK068429 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI A. J. Marian Walhout · 2005 to 2026
$10.9M
Identifying transcription factor binding sites in the C. elegans genomeR01GM082971 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WALHOUT, A. J. MARIAN · 2008 to 2016
$5.8M
CIHRNIDDK NIH HHS R01 DK068429NIDDK NIH HHS R01DK068429NIGMS NIH HHS R01 GM082971NIGMS NIH HHS R01GM082971
6 · The paper itself

Abstract

In any given cell, thousands of genes are expressed and work in concert to ensure the cell's function, fitness, and survival. Each gene, in turn, must be expressed at the proper time and in the proper amounts to ensure the appropriate functional outcome. The regulation and expression of some genes are highly robust; their expression is controlled by invariable expression programs. For instance, developmental gene expression is extremely similar in a given cell type from one individual to another. The expression of other genes is more variable: Their levels are noisy and are different from cell to cell and from individual to individual. This can be highly beneficial in physiological responses to outside cues and stresses. Recent advances have enabled the analysis of differential gene expression at a systems level. Gene regulatory networks (GRNs) involving interactions between large numbers of genes and their regulators have been mapped onto graphic diagrams that are used to visualize the regulatory relationships. The further characterization of GRNs has already uncovered global principles of gene regulation. Together with synthetic network biology, such studies are starting to provide insights into the transcriptional mechanisms that cause robust versus stochastic gene expression and their relationships to phenotypic robustness and variability. Here, we discuss GRNs and their topological properties in relation to transcriptional and phenotypic outputs in development and organismal physiology.

Indexed as

Gene Regulatory NetworksAnimalsGene Expression ProfilingGene Expression RegulationHumansModels, GeneticPhenotypeStochastic Processes

Identifiers

PMID21324878
PMCPMC3083081
OpenAlexW2165247488

What OpenQuestion holds

Textmetadata
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.