ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2011
How geometry and internal bias affect the accuracy of eukaryotic gradient sensing.
Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 35 citations in OpenAlex.
- Perfect adaptation in eukaryotic gradient sensing using cooperative allosteric binding.Physical review. E · 2026Article
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- Cell shape and orientation control galvanotactic accuracy.Soft matter · 2024Article
- Trade-offs in concentration sensing in dynamic environments.Biophysical journal · 2024Article
- Limits on the accuracy of contact inhibition of locomotion.Physical review. E · 2024Article
- Collective gradient sensing and chemotaxis: modeling and recent developments.Journal of physics. Condensed matter : an Institute of Physics journal · 2018Review
- Cell-to-cell variation sets a tissue-rheology-dependent bound on collective gradient sensing.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- How input noise limits biochemical sensing in ultrasensitive systems.Physical review. E, Statistical, nonlinear, and soft matter physics · 2014Article
- Memory improves precision of cell sensing in fluctuating environments.Scientific reports · 2014Article
- Coordinated switching of bacterial flagellar motors: evidence for direct motor-motor coupling?Physical review letters · 2013Article
- Theoretical model for cell migration with gradient sensing and shape deformation.The European physical journal. E, Soft matter · 2013Article
- How input fluctuations reshape the dynamics of a biological switching system.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Many motile eukaryotic cells determine their direction by measuring external chemical gradients through the binding of ligands to membrane bound receptors. This process is limited by fluctuations arising from the binding process and from the diffusion of the ligand molecules. Here, we apply estimation-theoretic methods to determine the physical limits of gradient sensing for cells that are noncircular and for cells that have an internal bias. Specifically, we derive theoretical expressions for the accuracy of gradient sensing in elliptical cells. This accuracy for highly elliptical cells can significantly deviate from the gradient sensing limits derived for circular cells. Furthermore, we find that a cell cannot improve its sensing of the gradient steepness and direction simultaneously by elongating its cell body. Finally, we derive a lower bound on the accuracy of gradient sensing for cells that possess an internal bias and compare our analytical results with recent experimental findings.
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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.