Evidence map›Paper›PMID 22445361›Full record

ReviewTrends in microbiology2012

Artificial activation of toxin-antitoxin systems as an antibacterial strategy.

Julia J Williams, Paul J Hergenrother

Open access · greenAbstract readReview
In one paragraph

Review in Trends in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Antibiotics (Basel, Switzerland) · 2023
    Article
  11. Article
  12. A ParDE toxin-antitoxin system is responsible for the maintenance of theFrontiers in cellular and infection microbiology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Correlation betweenMicroorganisms · 2021
    Article

9 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 at 1 institution in 1 country.

Julia J WilliamsDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Paul J Hergenrother
University of Illinois Urbana-Champaign · US

Funding

Cellular and Molecular Biology Training GrantT32GM007283 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI MORRISSEY, JAMES H. · 1985 to 2011
$4.7M
COMBATING MULTI-DRUG RESISTANT BACTERIAR01GM068385 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL · 2003 to 2010
$1.4M
NIGMS NIH HHS R01 GM068385NIGMS NIH HHS R01GM068385NIGMS NIH HHS T32 GM007283
6 · The paper itself

Abstract

Toxin-antitoxin (TA) systems are unique modules that effect plasmid stabilization via post-segregational killing of the bacterial host. The genes encoding TA systems also exist on bacterial chromosomes, and it has been speculated that these are involved in a variety of cellular processes. Interest in TA systems has increased dramatically over the past 5 years as the ubiquitous nature of TA genes on bacterial genomes has been revealed. The exploitation of TA systems as an antibacterial strategy via artificial activation of the toxin has been proposed and has considerable potential; however, efforts in this area remain in the early stages and several major questions remain. This review investigates the tractability of targeting TA systems to kill bacteria, including fundamental requirements for success, recent advances, and challenges associated with artificial toxin activation.

Indexed as

Microbial ViabilityTranscriptional ActivationBacterial InfectionsBacterial ToxinsHumansPlasmidsBacterial Toxins

Identifiers

PMID22445361
PMCPMC3952271
OpenAlexW2119853807

What OpenQuestion holds

Textmetadata
LicenceTDM
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.