Evidence map›Paper›PMID 21927020›Full record

ReviewNature reviews. Microbiology2011

Regulation of growth and death in Escherichia coli by toxin-antitoxin systems.

Yoshihiro Yamaguchi, Masayori Inouye

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 209 papers.

0numbers the graph read from it
0cells of the map it votes in
209citing papers in PubMed
20.6field-weighted citation impact, top 1% 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

209 citing papers in PubMed, 384 citations in OpenAlex.

  1. The role of toxin-antitoxin systems inJournal of bacteriology · 2026
    Review
  2. Genomic profiling ofMicrobiology spectrum · 2026
    Article
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  7. Review
  8. The Environment-Dependent Regulatory Landscape of thebioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Prokaryotic homeostasis - a solution to thrive and survive.Frontiers in molecular biosciences · 2025
    Review
  15. Type II Toxin-Antitoxin Systems inInfection and drug resistance · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

149 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.

Yoshihiro YamaguchiDepartment of Biochemistry, Center for Advanced Biotechnology and Medicine, Robert Wood Johnson Medical School, Piscataway, New Jersey 08854, USA.
Masayori Inouye
Johnson University · US

Funding

Deciphering of the Toxin-Antitoxin Systems in E. coliR01GM081567 · NIGMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI INOUYE, MASAYORI · 2009 to 2012
$1.8M
NIGMS NIH HHS 1R01GM081567
6 · The paper itself

Abstract

Escherichia coli K-12 contains at least 36 toxin genes, the expression of which causes growth inhibition and eventual death. These toxins are usually co-expressed with their cognate antitoxins in operons called toxin-antitoxin (TA) modules. Under normal growth conditions, toxins and antitoxins form stable complexes. However, stress-induced proteases preferentially eliminate unstable antitoxins, releasing free toxins to inhibit various cellular functions. TA systems have important roles in the physiology of cells in their natural habitats, including functions in biofilm formation and multidrug resistance. In this Review, we describe these TA systems in light of their functions and roles in the regulation of cell growth and death.

Indexed as

Gene Expression Regulation, BacterialBacterial ToxinsEscherichia coli K12Microbial ViabilityModels, BiologicalModels, MolecularBacterial Toxins

Identifiers

PMID21927020
OpenAlexW1982148012

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.