Evidence map›Paper›PMID 25299042›Full record

ArticlePLoS computational biology2014

A model for sigma factor competition in bacterial cells.

Marco Mauri, Stefan Klumpp

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

56 citing papers in PubMed, 101 citations in OpenAlex.

  1. Transcriptional landscape of metal-resistantJournal of bacteriology · 2026
    Article
  2. Article
  3. Virulence regulation in the fish pathogenFrontiers in cellular and infection microbiology · 2026
    Review
  4. Article
  5. Article
  6. Competition effects regulating the composition of the microRNA pool.Journal of the Royal Society, Interface · 2025
    Article
  7. Transcription activation inEcoSal Plus · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. σCommunications biology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Transcriptional organization and regulation of theMicrobiology (Reading, England) · 2023
    Article
  17. Article
  18. Life (Basel, Switzerland) · 2022
    Review
  19. Genome-wide promoter assembly inGenome research · 2022
    Article
  20. 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.

Marco MauriMax Planck Institute of Colloids and Interfaces, Potsdam, Germany.
Stefan KlumppMax Planck Institute of Colloids and Interfaces, Potsdam, Germany.
Max Planck Institute of Colloids and Interfaces · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sigma factors control global switches of the genetic expression program in bacteria. Different sigma factors compete for binding to a limited pool of RNA polymerase (RNAP) core enzymes, providing a mechanism for cross-talk between genes or gene classes via the sharing of expression machinery. To analyze the contribution of sigma factor competition to global changes in gene expression, we develop a theoretical model that describes binding between sigma factors and core RNAP, transcription, non-specific binding to DNA and the modulation of the availability of the molecular components. The model is validated by comparison with in vitro competition experiments, with which excellent agreement is found. Transcription is affected via the modulation of the concentrations of the different types of holoenzymes, so saturated promoters are only weakly affected by sigma factor competition. However, in case of overlapping promoters or promoters recognized by two types of sigma factors, we find that even saturated promoters are strongly affected. Active transcription effectively lowers the affinity between the sigma factor driving it and the core RNAP, resulting in complex cross-talk effects. Sigma factor competition is not strongly affected by non-specific binding of core RNAPs, sigma factors and holoenzymes to DNA. Finally, we analyze the role of increased core RNAP availability upon the shut-down of ribosomal RNA transcription during the stringent response. We find that passive up-regulation of alternative sigma-dependent transcription is not only possible, but also displays hypersensitivity based on the sigma factor competition. Our theoretical analysis thus provides support for a significant role of passive control during that global switch of the gene expression program.

Indexed as

Models, BiologicalBacteriaBacterial ProteinsComputational BiologyHoloenzymesSigma FactorTranscription, GeneticBacterial ProteinsHoloenzymesSigma Factor

Identifiers

PMID25299042
PMCPMC4191881
OpenAlexW1975993241

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.