Evidence map›Paper›PMID 27077831›Full record

ArticlePLoS computational biology2016

A Predictive Model for Yeast Cell Polarization in Pheromone Gradients.

Nicolas Muller, Matthieu Piel, Vincent Calvez, Raphaël Voituriez, Joana Gonçalves-Sá, Chin-Lin Guo, Xingyu Jiang, Andrew Murray, Nicolas Meunier

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Signal control during tissue regeneration in adult animals.Nature reviews. Molecular cell biology · 2026
    Review
  2. TheIMA fungus · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Mitotic and pheromone-specific intrinsic polarization cues interfere with gradient sensing inProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. Article
  10. Article
  11. Self-organization principles of intracellular pattern formation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    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

9 authors.

Nicolas MullerMAP5, CNRS UMR 8145, Université Paris Descartes, Paris, France.
Matthieu PielInstitut Curie, CNRS UMR 144, Paris, France.
Vincent CalvezUnité de Mathématiques Pures et Appliquées, CNRS UMR 5669 and équipe-projet INRIA NUMED, École Normale Supérieure de Lyon, Lyon, France.
Raphaël VoituriezLaboratoire Jean Perrin and Laboratoire de Physique Théorique de la Matière Condensée, UMR 7600 CNRS /UPMC, Paris, France.
Joana Gonçalves-SáMolecular and Cell Biology and FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Chin-Lin GuoMolecular and Cell Biology and FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Xingyu JiangDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Andrew MurrayMolecular and Cell Biology and FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Nicolas MeunierMAP5, CNRS UMR 8145, Université Paris Descartes, Paris, France.

Funding

THEORETICAL ANALYSIS OF FUNCTIONAL MODULESP50GM068763 · NIGMS · HARVARD UNIVERSITY · PI BENENSON, YAAKOV · 2003 to 2012
$28.9M
NIGMS NIH HHS P50 GM068763
6 · The paper itself

Abstract

Budding yeast cells exist in two mating types, a and α, which use peptide pheromones to communicate with each other during mating. Mating depends on the ability of cells to polarize up pheromone gradients, but cells also respond to spatially uniform fields of pheromone by polarizing along a single axis. We used quantitative measurements of the response of a cells to α-factor to produce a predictive model of yeast polarization towards a pheromone gradient. We found that cells make a sharp transition between budding cycles and mating induced polarization and that they detect pheromone gradients accurately only over a narrow range of pheromone concentrations corresponding to this transition. We fit all the parameters of the mathematical model by using quantitative data on spontaneous polarization in uniform pheromone concentration. Once these parameters have been computed, and without any further fit, our model quantitatively predicts the yeast cell response to pheromone gradient providing an important step toward understanding how cells communicate with each other.

Indexed as

Models, BiologicalCell PolarityComputational BiologyPheromonesQuorum SensingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSignal TransductionPheromonesSaccharomyces cerevisiae Proteins

Identifiers

PMID27077831
PMCPMC4831791

What OpenQuestion holds

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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.