Evidence map›Paper›PMID 23731999›Full record

ReviewTrends in cell biology2013

Beyond symmetry-breaking: competition and negative feedback in GTPase regulation.

Chi-Fang Wu, Daniel J Lew

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Polarization as a Process: The Potential of Process Ontology for Understanding Cellular Symmetry Breaking.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Physical Forces in Regeneration of Cells and Tissues.Cold Spring Harbor perspectives in biology · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Chi-Fang WuDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA.
Daniel J Lew

Funding

POLARITY ESTABLISHMENT IN YEASTR01GM062300 · NIGMS · DUKE UNIVERSITY · PI LEW, DANIEL J · 2001 to 2016
$5.0M
NIGMS NIH HHS GM062300NIGMS NIH HHS R01 GM062300
6 · The paper itself

Abstract

Cortical domains are often specified by the local accumulation of active GTPases. Such domains can arise through spontaneous symmetry-breaking, suggesting that GTPase accumulation occurs via positive feedback. Here, we focus on recent advances in fungal and plant cell models - where new work suggests that polarity-controlling GTPases develop only one 'front' because GTPase clusters engage in a winner-takes-all competition. However, in some circumstances two or more GTPase domains can coexist, and the basis for the switch from competition to coexistence remains an open question. Polarity GTPases can undergo oscillatory clustering and dispersal, suggesting that these systems contain negative feedback. Negative feedback may prevent polarity clusters from spreading too far, regulate the balance between competition and coexistence, and provide directional flexibility for cells tracking gradients.

Indexed as

Actinscdc42 GTP-Binding ProteinCell PolarityFeedback, PhysiologicalGTPase-Activating ProteinsGTP PhosphohydrolasesGuanine Nucleotide Exchange FactorsPlant CellsSaccharomyces cerevisiaeActinscdc42 GTP-Binding ProteinGTPase-Activating ProteinsGTP PhosphohydrolasesGuanine Nucleotide Exchange FactorsCdc42GAPGEFRacRop

Identifiers

PMID23731999
PMCPMC3783641

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.