ArticleProceedings of the National Academy of Sciences of the United States of America2007
Input output robustness in simple bacterial signaling systems.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.
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99 citing papers in PubMed.
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- The Cellular Abundance of Chemoreceptors, Chemosensory Signaling Proteins, Sensor Histidine Kinases, and Solute Binding Proteins ofInternational journal of molecular sciences · 2023Article
- Synthetic bacteria for the detection and bioremediation of heavy metals.Frontiers in bioengineering and biotechnology · 2023Review
- Vertex results for the robust analysis of uncertain biochemical systems.Journal of mathematical biology · 2022Article
- Dynamics and Sensitivity of Signaling Pathways.Current pathobiology reports · 2022Article
- Bacterial two-component systems as sensors for synthetic biology applications.Current opinion in systems biology · 2021Article
- Allostery and protein plasticity: the keystones for bacterial signaling and regulation.Biophysical reviews · 2021Review
- Continuous variable responses and signal gating form kinetic bases for pulsatile insulin signaling and emergence of resistance.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Uncertainty propagation for deterministic models of biochemical networks using moment equations and the extended Kalman filter.Journal of the Royal Society, Interface · 2021Article
39 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Biological signaling systems produce an output, such as the level of a phosphorylated protein, in response to defined input signals. The output level as a function of the input level is called the system's input-output relation. One may ask whether this input-output relation is sensitive to changes in the concentrations of the system's components, such as proteins and ATP. Because component concentrations often vary from cell to cell, it might be expected that the input-output relation will likewise vary. If this is the case, different cells exposed to the same input signal will display different outputs. Such variability can be deleterious in systems where survival depends on accurate match of output to input. Here we suggest a mechanism that can provide input-output robustness, that is, an input-output relation that does not depend on variations in the concentrations of any of the system's components. The mechanism is based on certain bacterial signaling systems. It explains how specific molecular details can work together to provide robustness. Moreover, it suggests an approach that can help identify a wide family of nonequilibrium mechanisms that potentially have robust input-output relations.
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