Evidence map›Paper›PMID 22984566›Full record

ArticlePloS one2012

Cooperative binding of transcription factors promotes bimodal gene expression response.

Pablo S Gutierrez, Diana Monteoliva, Luis Diambra

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Liquid-Liquid Phase Separation in Chromatin.Cold Spring Harbor perspectives in biology · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Cooperative binding: a multiple personality.Journal of mathematical biology · 2016
    Article
  17. Article
  18. Article
  19. Article
  20. Modeling stochastic noise in gene regulatory systems.Quantitative biology (Beijing, China) · 2014
    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

3 authors.

Pablo S GutierrezCentro Regional de Estudios Genmicos, Universidad Nacional de La Plata, Florencio Varela, Buenos Aires, Argentina.
Diana Monteoliva
Luis Diambra

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present work we extend and analyze the scope of our recently proposed stochastic model for transcriptional regulation, which considers an arbitrarily complex cis-regulatory system using only elementary reactions. Previously, we determined the role of cooperativity on the intrinsic fluctuations of gene expression for activating transcriptional switches, by means of master equation formalism and computer simulation. This model allowed us to distinguish between two cooperative binding mechanisms and, even though the mean expression levels were not affected differently by the acting mechanism, we showed that the associated fluctuations were different. In the present generalized model we include other regulatory functions in addition to those associated to an activator switch. Namely, we introduce repressive regulatory functions and two theoretical mechanisms that account for the biphasic response that some cis-regulatory systems show to the transcription factor concentration. We have also extended our previous master equation formalism in order to include protein production by stochastic translation of mRNA. Furthermore, we examine the graded/binary scenarios in the context of the interaction energy between transcription factors. In this sense, this is the first report to show that the cooperative binding of transcription factors to DNA promotes the "all-or-none" phenomenon observed in eukaryotic systems. In addition, we confirm that gene expression fluctuation levels associated with one of two cooperative binding mechanism never exceed the fluctuation levels of the other.

Indexed as

Gene Expression ProfilingAlgorithmsDNAGene Expression RegulationModels, StatisticalModels, TheoreticalNucleosomesProbabilityProtein BindingRNA, MessengerStochastic ProcessesTranscription FactorsDNANucleosomesRNA, MessengerTranscription Factors

Identifiers

PMID22984566
PMCPMC3440358

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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.