Evidence map›Paper›PMID 23781105›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Molecular mechanisms of multiple toxin-antitoxin systems are coordinated to govern the persister phenotype.

Rick A Fasani, Michael A Savageau

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
–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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Adaptive Resistance ofMicroorganisms · 2025
    Article
  9. Bacterial persisters: molecular mechanisms and therapeutic development.Signal transduction and targeted therapy · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Impact of Genomic Deletion RD16 on the Expression of theCurrent issues in molecular biology · 2023
    Article
  14. Review
  15. Comparative analysis of five type II TA systems identified inFrontiers in cellular and infection microbiology · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

10 more citing papers are in PubMed but not listed here.

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.

Rick A FasaniDepartment of Biomedical Engineering and Microbiology Graduate Group, University of California, Davis, CA 95616, USA.
Michael A Savageau

Funding

GENE CIRCUITS AND BIOCHEMICAL NETWORKSR01GM030054 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SAVAGEAU, MICHAEL A · 1985 to 2015
$3.2M
NIGMS NIH HHS R01 GM030054NIGMS NIH HHS R01-GM30054
6 · The paper itself

Abstract

Toxin-antitoxin systems are ubiquitous and have been implicated in persistence, the multidrug tolerance of bacteria, biofilms, and, by extension, most chronic infections. However, their purpose, apparent redundancy, and coordination remain topics of debate. Our model relates molecular mechanisms to population dynamics for a large class of toxin-antitoxin systems and suggests answers to several of the open questions. The generic architecture of toxin-antitoxin systems provides the potential for bistability, and even when the systems do not exhibit bistability alone, they can be coupled to create a strongly bistable, hysteretic switch between normal and toxic states. Stochastic fluctuations can spontaneously switch the system to the toxic state, creating a heterogeneous population of growing and nongrowing cells, or persisters, that exist under normal conditions, rather than as an induced response. Multiple toxin-antitoxin systems can be cooperatively marshaled for greater effect, with the dilution determined by growth rate serving as the coordinating signal. The model predicts and elucidates experimental results that show a characteristic correlation between persister frequency and the number of toxin-antitoxin systems.

Indexed as

Models, BiologicalAnti-Bacterial AgentsAntitoxinsBacteriaBacterial ToxinsPhenotypeSystems BiologyAnti-Bacterial AgentsAntitoxinsBacterial Toxins

Identifiers

PMID23781105
PMCPMC3703989

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.