Evidence map›Paper›PMID 16085764›Full record

ArticleBiophysical journal2005

Distinguishing modes of eukaryotic gradient sensing.

R Skupsky, W Losert, R J Nossal

Abstract read
In one paragraph

Article in Biophysical journal, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Emergent eukaryotic directional sensing via receptor degradation and diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Review
  3. Review
  4. Article
  5. Phase geometries of two-dimensional excitable waves govern self-organized morphodynamics of amoeboid cells.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Reaction-diffusion systems in intracellular molecular transport and control.Angewandte Chemie (International ed. in English) · 2010
    Review
  11. Article
  12. Article
  13. Bayesian model predicts the response of axons to molecular gradients.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  14. Review
  15. Receptor noise limitations on chemotactic sensing.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  16. Accuracy of direct gradient sensing by single cells.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  17. Article
  18. Review
  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

3 authors.

R SkupskyLaboratory of Integrative and Medical Biophysics, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA. skup@helix.nih.gov
W Losert
R J Nossal

Funding

Biophysical Methods and ModelsZIAHD000260 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI NOSSAL, RALPH · 2009 to 2015
$2.1M
Biophysical Methods and ModelsZ01HD000260 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI NOSSAL, RALPH J · 1998 to 2008
$1.1M
6 · The paper itself

Abstract

We develop a mathematical model of phosphoinositide-mediated gradient sensing that can be applied to chemotactic behavior in highly motile eukaryotic cells such as Dictyostelium and neutrophils. We generate four variants of our model by adjusting parameters that control the strengths of coupled positive feedbacks and the importance of molecules that translocate from the cytosol to the membrane. Each variant exhibits a qualitatively different mode of gradient sensing. Simulations of characteristic behaviors suggest that differences between the variants are most evident at transitions between efficient gradient detection and failure. Based on these results, we propose criteria to distinguish between possible modes of gradient sensing in real cells, where many biochemical parameters may be unknown. We also identify constraints on parameters required for efficient gradient detection. Finally, our analysis suggests how a cell might transition between responsiveness and nonresponsiveness, and between different modes of gradient sensing, by adjusting its biochemical parameters.

Indexed as

Models, BiologicalAnimalsCell MembraneChemotaxisComputer SimulationDictyosteliumEukaryotic CellsKineticsNeutrophilsPhosphatidylinositolsPhosphatidylinositols

Identifiers

PMID16085764
PMCPMC1366780

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.