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  • 1
    Publication Date: 2013-08-03
    Description: Robust transmission of information despite the presence of variation is a fundamental problem in cellular functions. However, the capability and characteristics of information transmission in signaling pathways remain poorly understood. We describe robustness and compensation of information transmission of signaling pathways at the cell population level. We calculated the mutual information transmitted through signaling pathways for the growth factor-mediated gene expression. Growth factors appeared to carry only information sufficient for a binary decision. Information transmission was generally more robust than average signal intensity despite pharmacological perturbations, and compensation of information transmission occurred. Information transmission to the biological output of neurite extension appeared robust. Cells may use information entropy as information so that messages can be robustly transmitted despite variation in molecular activities among individual cells.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Uda, Shinsuke -- Saito, Takeshi H -- Kudo, Takamasa -- Kokaji, Toshiya -- Tsuchiya, Takaho -- Kubota, Hiroyuki -- Komori, Yasunori -- Ozaki, Yu-ichi -- Kuroda, Shinya -- New York, N.Y. -- Science. 2013 Aug 2;341(6145):558-61. doi: 10.1126/science.1234511.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biophysics and Biochemistry, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23908238" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cyclic AMP Response Element-Binding Protein/metabolism ; Early Growth Response Protein 1/metabolism ; Gene Expression/drug effects ; *Information Theory ; Intercellular Signaling Peptides and Proteins/pharmacology ; PC12 Cells ; Proto-Oncogene Proteins c-fos/metabolism ; Rats ; *Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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