Evidence map›Paper›PMID 27510864›Full record

ReviewNature reviews. Microbiology2016

Quorum sensing signal-response systems in Gram-negative bacteria.

Kai Papenfort, Bonnie L Bassler

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 964 papers.

0numbers the graph read from it
0cells of the map it votes in
964citing 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

964 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Engineering the probioticSynthetic and systems biotechnology · 2026
    Article
  5. Review
  6. MrtR ofProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Life (Basel, Switzerland) · 2026
    Review

904 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.

Kai PapenfortDepartment of Biology, Ludwig-Maximilians-University Munich, Biocenter, 82152 Martinsried, Germany.
Bonnie L BasslerHoward Hughes Medical Institute; Department of Molecular Biology, 329 Lewis Thomas Laboratories, Washington Road, Princeton University, Princeton, New Jersey 08544, USA.

Funding

Intra-and Inter-Species Communication in BacteriaR01GM065859 · NIGMS · PRINCETON UNIVERSITY · PI BASSLER, BONNIE L · 2002 to 2015
$4.2M
Intra- and Inter- Species Communication in BacteriaR37GM065859 · NIGMS · PRINCETON UNIVERSITY · PI BASSLER, BONNIE L · 2016 to 2025
$3.4M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM065859NIGMS NIH HHS R37 GM065859
6 · The paper itself

Abstract

Bacteria use quorum sensing to orchestrate gene expression programmes that underlie collective behaviours. Quorum sensing relies on the production, release, detection and group-level response to extracellular signalling molecules, which are called autoinducers. Recent work has discovered new autoinducers in Gram-negative bacteria, shown how these molecules are recognized by cognate receptors, revealed new regulatory components that are embedded in canonical signalling circuits and identified novel regulatory network designs. In this Review we examine how, together, these features of quorum sensing signal-response systems combine to control collective behaviours in Gram-negative bacteria and we discuss the implications for host-microbial associations and antibacterial therapy.

Indexed as

Quorum SensingAnti-Bacterial AgentsBacterial ProteinsGram-Negative BacteriaPheromonesSignal TransductionAnti-Bacterial AgentsBacterial ProteinsPheromones

Identifiers

PMID27510864
PMCPMC5056591

What OpenQuestion holds

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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.