ArticleProceedings of the National Academy of Sciences of the United States of America2008
Receptor noise limitations on chemotactic sensing.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Computational insights on the interplay between electrotaxis and mechanotaxis.PLoS computational biology · 2026Article
- Emergent eukaryotic directional sensing via receptor degradation and diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A negative-feedback loop maintains optimal chemokine concentrations for directional cell migration.Nature cell biology · 2020Article
- Modelling of Yeast Mating Reveals Robustness Strategies for Cell-Cell Interactions.PLoS computational biology · 2016Article
- High fidelity information processing in folic acid chemotaxis of Dictyostelium amoebae.Journal of the Royal Society, Interface · 2013Article
- Optical control demonstrates switch-like PIP3 dynamics underlying the initiation of immune cell migration.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- How input fluctuations reshape the dynamics of a biological switching system.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012Article
- Noise effects in nonlinear biochemical signaling.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012Article
- Noise filtering tradeoffs in spatial gradient sensing and cell polarization response.BMC systems biology · 2011Article
- A comparison of mathematical models for polarization of single eukaryotic cells in response to guided cues.PLoS computational biology · 2011Review
- 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
- Microfluidic platform for chemotaxis in gradients formed by CXCL12 source-sink cells.Integrative biology : quantitative biosciences from nano to macro · 2010Article
- Physical limits on cellular sensing of spatial gradients.Physical review letters · 2010Article
- A comparison of deterministic and stochastic simulations of neuronal vesicle release models.Physical biology · 2010Article
- External and internal constraints on eukaryotic chemotaxis.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
- Phenomenological approach to eukaryotic chemotactic efficiency.Physical review. E, Statistical, nonlinear, and soft matter physics · 2010Article
- Bayesian model predicts the response of axons to molecular gradients.Proceedings of the National Academy of Sciences of the United States of America · 2009Article
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2 authors.
Funding
Abstract
Chemotactic eukaryotic cells are able to detect chemoattractant gradients that are both shallow and have a low background concentration. Under these conditions, the noise in the number of bound receptors can be significant and needs to be taken into account in determining the directional sensing process. Here, we quantify numerically the number of bound receptors on the membrane of a disk-shaped cell by using a numerical Monte Carlo tool. The obtained time traces of the receptor occupancy can be used as inputs for any directional sensing model. We investigate the response of the local excitation global inhibition model and a recently developed balanced inactivation model. We determine a measure for the motility of the cell for each model, based on the relevant output variable, as a function of experimental parameters, resulting in several experimentally testable predictions. Furthermore, we show that these two models behave in a qualitatively different fashion when the background concentration is varied. Thus, to properly characterize the sensitivity of cells to receptor occupancy, it is not sufficient to examine the input signal. Rather, one needs to take into account the response of the second messenger pathway.
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