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, MDate
2018-11-02Source Title
Nature CommunicationsPublisher
Springer Science and Business Media LLCUniversity of Melbourne Author/s
Stumpf, MichaelAffiliation
School of BioSciencesMetadata
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Journal ArticleCitations
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 AccessOpen Access at PMC
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214929Abstract
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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