Evidence map›Paper›PMID 22956903›Full record

ArticlePLoS computational biology2012

Interplay of gene expression noise and ultrasensitive dynamics affects bacterial operon organization.

J Christian J Ray, Oleg A Igoshin

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2012. 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
1.3field-weighted citation impact, top 20% 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, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Article
  10. To grow is not enough: impact of noise on cell environmental response and fitness.Integrative biology : quantitative biosciences from nano to macro · 2016
    Article
  11. Article
  12. Coevolution of the Organization and Structure of Prokaryotic Genomes.Cold Spring Harbor perspectives in biology · 2016
    Review
  13. Article
  14. Article
  15. Natural selection for operons depends on genome size.Genome biology and evolution · 2013
    Article
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

2 authors at 1 institution in 1 country.

J Christian J RayDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Oleg A Igoshin
Rice University · US

Funding

TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Feedback regulation and transcirptional coupling in bacterial stress-responseR01GM096189 · NIGMS · RICE UNIVERSITY · PI IGOSHIN, OLEG · 2010 to 2014
$1.3M
NIGMS NIH HHS 1R01GM096189-01NIGMS NIH HHS R01 GM096189NLM NIH HHS 5 T15 LM007093-16NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

Bacterial chromosomes are organized into polycistronic cotranscribed operons, but the evolutionary pressures maintaining them are unclear. We hypothesized that operons alter gene expression noise characteristics, resulting in selection for or against maintaining operons depending on network architecture. Mathematical models for 6 functional classes of network modules showed that three classes exhibited decreased noise and 3 exhibited increased noise with same-operon cotranscription of interacting proteins. Noise reduction was often associated with a decreased chance of reaching an ultrasensitive threshold. Stochastic simulations of the lac operon demonstrated that the predicted effects of transcriptional coupling hold for a complex network module. We employed bioinformatic analysis to find overrepresentation of noise-minimizing operon organization compared with randomized controls. Among constitutively expressed physically interacting protein pairs, higher coupling frequencies appeared at lower expression levels, where noise effects are expected to be dominant. Our results thereby suggest an important role for gene expression noise, in many cases interacting with an ultrasensitive switch, in maintaining or selecting for operons in bacterial chromosomes.

Indexed as

Gene ExpressionOperonModels, TheoreticalStochastic Processes

Identifiers

PMID22956903
PMCPMC3431296
OpenAlexW2115809661

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.