ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2010
Phenomenological approach to eukaryotic chemotactic efficiency.
Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
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Who cites it
12 citing papers in PubMed.
- Approximate Bayesian inference in a model for self-generated gradient collective cell movement.Computational statistics · 2025Article
- Close to Optimal Cell Sensing Ensures the Robustness of Tissue Differentiation Process: The Avian Photoreceptor Mosaic Case.Entropy (Basel, Switzerland) · 2021Article
- Moving towards a paradigm: common mechanisms of chemotactic signaling in Dictyostelium and mammalian leukocytes.Cellular and molecular life sciences : CMLS · 2014Review
- Theoretical model for cell migration with gradient sensing and shape deformation.The European physical journal. E, Soft matter · 2013Article
- Modeling and measuring signal relay in noisy directed migration of cell groups.PLoS computational biology · 2013Article
- How input fluctuations reshape the dynamics of a biological switching system.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012Article
- A stochastic description of Dictyostelium chemotaxis.PloS one · 2012Article
- Noise effects in nonlinear biochemical signaling.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012Article
- Effects of input noise on a simple biochemical switch.Physical review letters · 2011Article
- Quantifying information transmission in eukaryotic gradient sensing and chemotactic response.Journal of statistical physics · 2011Article
- How geometry and internal bias affect the accuracy of eukaryotic gradient sensing.Physical review. E, Statistical, nonlinear, and soft matter physics · 2011Article
- Physical limits on cellular sensing of spatial gradients.Physical review letters · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Eukaryotic cells are capable of detecting small chemical gradients for a wide range of background concentrations. Ultimately, fluctuations place a limit on gradient sensing and recent work has focused on the role of stochastic receptor occupancy as one possible limiting factor. Here, we use a phenomenological approach to add spontaneous motility fluctuations to receptor noise and predict the directional statistics of eukaryotic chemotaxis. Specifically, an Itô diffusion equation with direction-dependent multiplicative noise is developed and analytically studied. We show that our approach can naturally accommodate recent experimental data for the chemotaxis of the social amoeba Dictyostelium.
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Registered trials
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.