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    An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling.

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    Author
    Jetka, T; Nienałtowski, K; Filippi, S; Stumpf, MPH; Komorowski, M
    Date
    2018-11-02
    Source Title
    Nature Communications
    Publisher
    Springer Science and Business Media LLC
    University of Melbourne Author/s
    Stumpf, Michael
    Affiliation
    School of BioSciences
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Jetka, T., Nienałtowski, K., Filippi, S., Stumpf, M. P. H. & Komorowski, M. (2018). An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling.. Nat Commun, 9 (1), pp.4591-. https://doi.org/10.1038/s41467-018-07085-1.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/253667
    DOI
    10.1038/s41467-018-07085-1
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214929
    Abstract
    Many components of signaling pathways are functionally pleiotropic, and signaling responses are marked with substantial cell-to-cell heterogeneity. Therefore, biochemical descriptions of signaling require quantitative support to explain how complex stimuli (inputs) are encoded in distinct activities of pathways effectors (outputs). A unique perspective of information theory cannot be fully utilized due to lack of modeling tools that account for the complexity of biochemical signaling, specifically for multiple inputs and outputs. Here, we develop a modeling framework of information theory that allows for efficient analysis of models with multiple inputs and outputs; accounts for temporal dynamics of signaling; enables analysis of how signals flow through shared network components; and is not restricted by limited variability of responses. The framework allows us to explain how identity and quantity of type I and type III interferon variants could be recognized by cells despite activating the same signaling effectors.

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