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Incoherent feedforward control governs adaptation of activated ras in a eukaryotic chemotaxis pathway.


ABSTRACT: Adaptation in signaling systems, during which the output returns to a fixed baseline after a change in the input, often involves negative feedback loops and plays a crucial role in eukaryotic chemotaxis. We determined the dynamical response to a uniform change in chemoattractant concentration of a eukaryotic chemotaxis pathway immediately downstream from G protein-coupled receptors. The response of an activated Ras showed near-perfect adaptation, leading us to attempt to fit the results using mathematical models for the two possible simple network topologies that can provide perfect adaptation. Only the incoherent feedforward network accurately described the experimental results. This analysis revealed that adaptation in this Ras pathway is achieved through the proportional activation of upstream components and not through negative feedback loops. Furthermore, these results are consistent with a local excitation, global inhibition mechanism for gradient sensing, possibly with a Ras guanosine triphosphatase-activating protein acting as a global inhibitor.

SUBMITTER: Takeda K 

PROVIDER: S-EPMC3928814 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature

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Incoherent feedforward control governs adaptation of activated ras in a eukaryotic chemotaxis pathway.

Takeda Kosuke K   Shao Danying D   Adler Micha M   Charest Pascale G PG   Loomis William F WF   Levine Herbert H   Groisman Alex A   Rappel Wouter-Jan WJ   Firtel Richard A RA  

Science signaling 20120103 205


Adaptation in signaling systems, during which the output returns to a fixed baseline after a change in the input, often involves negative feedback loops and plays a crucial role in eukaryotic chemotaxis. We determined the dynamical response to a uniform change in chemoattractant concentration of a eukaryotic chemotaxis pathway immediately downstream from G protein-coupled receptors. The response of an activated Ras showed near-perfect adaptation, leading us to attempt to fit the results using ma  ...[more]

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