ArticleBMC systems biology2011
Noise characteristics of the Escherichia coli rotary motor.
Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Spontaneous switching in a protein signalling array reveals near-critical cooperativity.Nature physics · 2026Article
- Maximal information transmission is compatible with ultrasensitive biological pathways.Scientific reports · 2019Article
- Article
- Phenotypic diversity and temporal variability in a bacterial signaling network revealed by single-cell FRET.eLife · 2017Article
- Predicting chemical environments of bacteria from receptor signaling.PLoS computational biology · 2014Article
- Noninvasive inference of the molecular chemotactic response using bacterial trajectories.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
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Authors and funding
2 authors.
Funding
Abstract
backgroundThe chemotaxis pathway in the bacterium Escherichia coli allows cells to detect changes in external ligand concentration (e.g. nutrients). The pathway regulates the flagellated rotary motors and hence the cells' swimming behaviour, steering them towards more favourable environments. While the molecular components are well characterised, the motor behaviour measured by tethered cell experiments has been difficult to interpret.
resultsWe study the effects of sensing and signalling noise on the motor behaviour. Specifically, we consider fluctuations stemming from ligand concentration, receptor switching between their signalling states, adaptation, modification of proteins by phosphorylation, and motor switching between its two rotational states. We develop a model which includes all signalling steps in the pathway, and discuss a simplified version, which captures the essential features of the full model. We find that the noise characteristics of the motor contain signatures from all these processes, albeit with varying magnitudes.
conclusionsOur analysis allows us to address how cell-to-cell variation affects motor behaviour and the question of optimal pathway design. A similar comprehensive analysis can be applied to other two-component signalling pathways.
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