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Multiplexing information flow through dynamic signalling systems
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Minas, Giorgos, Woodcock, Dan J., Ashall, Louise, Harper, Claire V., White, Michael R. H. and Rand, David A. (2020) Multiplexing information flow through dynamic signalling systems. PLoS Computational Biology, 16 (8). e1008076. doi:10.1371/journal.pcbi.1008076 ISSN 1553-734X.
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Official URL: https://doi.org/10.1371/journal.pcbi.1008076
Abstract
We consider how a signalling system can act as an information hub by multiplexing information arising from multiple signals. We formally define multiplexing, mathematically characterise which systems can multiplex and how well they can do it. While the results of this paper are theoretical, to motivate the idea of multiplexing, we provide experimental evidence that tentatively suggests that the NF-κB transcription factor can multiplex information about changes in multiple signals. We believe that our theoretical results may resolve the apparent paradox of how a system like NF-κB that regulates cell fate and inflammatory signalling in response to diverse stimuli can appear to have the low information carrying capacity suggested by recent studies on scalar signals. In carrying out our study, we introduce new methods for the analysis of large, nonlinear stochastic dynamic models, and develop computational algorithms that facilitate the calculation of fundamental constructs of information theory such as Kullback–Leibler divergences and sensitivity matrices, and link these methods to a new theory about multiplexing information. We show that many current models such as those of the NF-κB system cannot multiplex effectively and provide models that overcome this limitation using post-transcriptional modifications.
Item Type: | Journal Article | |||||||||||||||
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Subjects: | Q Science > QH Natural history > QH301 Biology Q Science > QP Physiology |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Cell receptors, Cellular signal transduction, Bioinformatics -- Research, Multiplexing, Computational biology | |||||||||||||||
Journal or Publication Title: | PLoS Computational Biology | |||||||||||||||
Publisher: | Public Library of Science | |||||||||||||||
ISSN: | 1553-734X | |||||||||||||||
Book Title: | Multiplexing information flow through dynamic signalling systems | |||||||||||||||
Official Date: | 2020 | |||||||||||||||
Dates: |
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Volume: | 16 | |||||||||||||||
Number: | 8 | |||||||||||||||
Article Number: | e1008076 | |||||||||||||||
DOI: | 10.1371/journal.pcbi.1008076 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||
Date of first compliant deposit: | 27 July 2020 | |||||||||||||||
Date of first compliant Open Access: | 16 November 2020 | |||||||||||||||
RIOXX Funder/Project Grant: |
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