Evidence map›Paper›PMID 22102805›Full record

ArticlePLoS computational biology2011

A density-dependent switch drives stochastic clustering and polarization of signaling molecules.

Alexandra Jilkine, Sigurd B Angenent, Lani F Wu, Steven J Altschuler

Abstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Orientation of Cell Polarity by Chemical Gradients.Annual review of biophysics · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Stochastic activation and bistability in a Rab GTPase regulatory network.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. A model of cell surface receptor aggregation.Journal of mathematical biology · 2017
    Article
  19. Article
  20. Article
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

4 authors.

Alexandra JilkineMolecular and Cellular Biology, University of Arizona, Tucson, United States of America.
Sigurd B Angenent
Lani F Wu
Steven J Altschuler

Funding

The design principles underlying cell polarity in yeastR01GM071794 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI ALTSCHULER, STEVEN J · 2004 to 2012
$2.3M
Image based phenotypic profiling of single-cell responses to perturbationsR01GM081549 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI WU, LANI F · 2007 to 2011
$1.7M
NIGMS NIH HHS R01 GM071794NIGMS NIH HHS R01 GM081549
6 · The paper itself

Abstract

Positive feedback plays a key role in the ability of signaling molecules to form highly localized clusters in the membrane or cytosol of cells. Such clustering can occur in the absence of localizing mechanisms such as pre-existing spatial cues, diffusional barriers, or molecular cross-linking. What prevents positive feedback from amplifying inevitable biological noise when an un-clustered "off" state is desired? And, what limits the spread of clusters when an "on" state is desired? Here, we show that a minimal positive feedback circuit provides the general principle for both suppressing and amplifying noise: below a critical density of signaling molecules, clustering switches off; above this threshold, highly localized clusters are recurrently generated. Clustering occurs only in the stochastic regime, suggesting that finite sizes of molecular populations cannot be ignored in signal transduction networks. The emergence of a dominant cluster for finite numbers of molecules is partly a phenomenon of random sampling, analogous to the fixation or loss of neutral mutations in finite populations. We refer to our model as the "neutral drift polarity model." Regulating the density of signaling molecules provides a simple mechanism for a positive feedback circuit to robustly switch between clustered and un-clustered states. The intrinsic ability of positive feedback both to create and suppress clustering is a general mechanism that could operate within diverse biological networks to create dynamic spatial organization.

Indexed as

Cluster AnalysisSignal TransductionStochastic ProcessesCell CommunicationComputer SimulationFeedback, Physiological

Identifiers

PMID22102805
PMCPMC3213192

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.