Information transfer through a signaling module with feedback: A perturbative approach
Aquino, Gerardo and Zapotocky, Martin. 2015. Information transfer through a signaling module with feedback: A perturbative approach. BioSystems, 136, pp. 66-72. ISSN 0303-2647 [Article]
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Abstract or Description
Signal transduction in biological cells is effected by signaling pathways that typically include multiple feedback loops. Here we analyze information transfer through a prototypical signaling module with biochemical feedback. The module switches stochastically between an inactive and active state; the input to the module governs the activation rate while the output (i.e., the product concentration) perturbs the inactivation rate. Using a novel perturbative approach, we compute the rate with which information about the input is gained from observation of the output. We obtain an explicit analytical result valid to first order in feedback strength and to second order in the strength of input. The total information gained during an extended time interval is found to depend on the feedback strength only through the total number of activation/inactivation events.
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Article |
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Keywords: |
Signal transduction, Communication channel, Poisson process, Information theory, Feedback loop, Non-Markovian process |
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Item ID: |
29365 |
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Date Deposited: |
21 Oct 2020 14:34 |
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Last Modified: |
09 Jun 2021 14:51 |
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Peer Reviewed: |
Yes, this version has been peer-reviewed. |
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