Evidence map›Paper›PMID 20616054›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Biological role of noise encoded in a genetic network motif.

Mark Kittisopikul, Gürol M Süel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
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  3. Review
  4. Role of integrated noise in pathway-specific signal propagation in feed-forward loops.Theory in biosciences = Theorie in den Biowissenschaften · 2021
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  5. Review
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  8. Sensitivities of Regulation Intensities in Feed-Forward Loops with Multistability.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2019
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Mark KittisopikulGreen Center for Systems Biology and Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Gürol M Süel

Funding

Molecular Biophysics Predoctoral Training ProgramT32GM008297 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI CHOOK, YUH MIN · 1989 to 2018
$2.4M
Regulation of pluripotent differentiation by gene circuit interactions.R01GM088428 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI SUEL, GUROL MEHMET · 2009 to 2013
$1.4M
NIGMS NIH HHS GM T32008297NIGMS NIH HHS R01 GM088428PHS HHS 5 T32 08014
6 · The paper itself

Abstract

Genetic circuits that regulate distinct cellular processes can differ in their wiring pattern of interactions (architecture) and susceptibility to stochastic fluctuations (noise). Whether the link between circuit architecture and noise is of biological importance remains, however, poorly understood. To investigate this problem, we performed a computational study of gene expression noise for all possible circuit architectures of feed-forward loop (FFL) motifs. Results revealed that FFL architectures fall into two categories depending on whether their ON (stimulated) or OFF (unstimulated) steady states exhibit noise. To explore the biological importance of this difference in noise behavior, we analyzed 858 documented FFLs in Escherichia coli that were divided into 39 functional categories. The majority of FFLs were found to regulate two subsets of functional categories. Interestingly, these two functional categories associated with FFLs of opposite noise behaviors. This opposite noise preference revealed two noise-based strategies to cope with environmental constraints where cellular responses are either initiated or terminated stochastically to allow probabilistic sampling of alternative states. FFLs may thus be selected for their architecture-dependent noise behavior, revealing a biological role for noise that is encoded in gene circuit architectures.

Indexed as

Gene Expression ProfilingModels, GeneticAmino Acid MotifsCluster AnalysisComputational BiologyComputer SimulationEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialGene Regulatory NetworksProtein BiosynthesisSoftwareStochastic ProcessesTranscription, GeneticEscherichia coli Proteins

Identifiers

PMID20616054
PMCPMC2922135

What OpenQuestion holds

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Registered trials

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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.