Evidence map›Paper›PMID 26329725›Full record

ArticleScientific reports2015

Biological Sources of Intrinsic and Extrinsic Noise in cI Expression of Lysogenic Phage Lambda.

Xue Lei, Wei Tian, Hongyuan Zhu, Tianqi Chen, Ping Ao

Abstract read
In one paragraph

Article in Scientific reports, 2015. 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. Article
  2. Article
  3. Review
  4. Article
  5. Emergent Criticality in Coupled Boolean Networks.Entropy (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Article
  8. Article
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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

5 authors.

Xue LeiShanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, P. R. China.
Wei TianDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
Hongyuan ZhuShanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, P. R. China.
Tianqi ChenDepartment of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Ping AoShanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetically identical cells exposed to homogeneous environment can show remarkable phenotypic difference. To predict how phenotype is shaped, understanding of how each factor contributes is required. During gene expression processes, noise could arise either intrinsically in biochemical processes of gene expression or extrinsically from other cellular processes such as cell growth. In this work, important noise sources in gene expression of phage λ lysogen are quantified using models described by stochastic differential equations (SDEs). Results show that DNA looping has sophisticated impacts on gene expression noise: When DNA looping provides autorepression, like in wild type, it reduces noise in the system; When the autorepression is defected as it is in certain mutants, DNA looping increases expression noise. We also study how each gene operator affects the expression noise by changing the binding affinity between the gene and the transcription factor systematically. We find that the system shows extraordinarily large noise when the binding affinity is in certain range, which changes the system from monostable to bistable. In addition, we find that cell growth causes non-negligible noise, which increases with gene expression level. Quantification of noise and identification of new noise sources will provide deeper understanding on how stochasticity impacts phenotype.

Indexed as

LysogenyBacteriophage lambdaCell ProliferationComputer SimulationEscherichia coliModels, BiologicalRepressor ProteinsStochastic ProcessesThermodynamicsViral Regulatory and Accessory Proteinsphage repressor proteinsRepressor ProteinsViral Regulatory and Accessory Proteins

Identifiers

PMID26329725
PMCPMC4557085

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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.