Evidence map›Paper›PMID 22225397›Full record

ArticleChaos (Woodbury, N.Y.)2011

A common repressor pool results in indeterminacy of extrinsic noise.

Michail Stamatakis, Rhys M Adams, Gábor Balázsi

Abstract read
In one paragraph

Article in Chaos (Woodbury, N.Y.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Noise decomposition of intracellular biochemical signaling networks using nonequivalent reporters.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  9. Stochastic simulation in systems biology.Computational and structural biotechnology journal · 2014
    Review
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.

Michail StamatakisDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77005, USA.
Rhys M Adams
Gábor Balázsi

Funding

Connecting the selection of noisy gene expression deviants to genetic evolutionDP2OD006481 · OD · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BALAZSI, GABOR · 2009 to 2009
$2.3M
NIH HHS 1DP2 OD006481-01NIH HHS DP2 OD006481
6 · The paper itself

Abstract

For just over a decade, stochastic gene expression has been the focus of many experimental and theoretical studies. It is now widely accepted that noise in gene expression can be decomposed into extrinsic and intrinsic components, which have orthogonal contributions to the total noise. Intrinsic noise stems from the random occurrence of biochemical reactions and is inherent to gene expression. Extrinsic noise originates from fluctuations in the concentrations of regulatory components or random transitions in the cell's state and is imposed to the gene of interest by the intra- and extra-cellular environment. The basic assumption has been that extrinsic noise acts as a pure input on the gene of interest, which exerts no feedback on the extrinsic noise source. Thus, multiple copies of a gene would be uniformly influenced by an extrinsic noise source. Here, we report that this assumption falls short when multiple genes share a common pool of a regulatory molecule. Due to the competitive utilization of the molecules existing in this pool, genes are no longer uniformly influenced by the extrinsic noise source. Rather, they exert negative regulation on each other and thus extrinsic noise cannot be determined by the currently established method.

Indexed as

Gene PoolModels, GeneticNonlinear DynamicsAnimalsComputer SimulationGene Expression RegulationHumansRepressor ProteinsSignal TransductionViral ProteinsRepressor ProteinsViral Proteins

Identifiers

PMID22225397
PMCPMC3258287

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.