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.

• MeSH
• biologické modely * MeSH
• gating iontového kanálu fyziologie   MeSH
• lidé MeSH
• počítačová simulace MeSH
• signální transdukce fyziologie   MeSH
• ukládání a vyhledávání informací metody   MeSH
• vápník metabolismus   MeSH
• vápníkové kanály metabolismus   MeSH
• zpětná vazba fyziologická fyziologie   MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH