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Tikhonov M, Little SC, Gregor T. Only accessible information is useful: insights from gradient-mediated patterning. R Soc Open Sci. 2015;2(11):150486doi: 10.1098/rsos.150486.
Tikhonov, M., Little, S. C., & Gregor, T. (2015). Only accessible information is useful: insights from gradient-mediated patterning. Royal Society open science, 2(11), 150486. https://doi.org/10.1098/rsos.150486
Tikhonov, Mikhail, et al. "Only accessible information is useful: insights from gradient-mediated patterning." Royal Society open science vol. 2,11 (2015): 150486. doi: https://doi.org/10.1098/rsos.150486
Tikhonov M, Little SC, Gregor T. Only accessible information is useful: insights from gradient-mediated patterning. R Soc Open Sci. 2015 Nov 25;2(11):150486. doi: 10.1098/rsos.150486. eCollection 2015 Nov. PMID: 26716005; PMCID: PMC4680620.
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R Soc Open Sci. 2015 Nov 25;2(11):150486. doi: 10.1098/rsos.150486. eCollection 2015 Nov.

Only accessible information is useful: insights from gradient-mediated patterning.

Royal Society open science

Mikhail Tikhonov, Shawn C Little, Thomas Gregor

Affiliations

  1. Joseph Henry Laboratories of Physics , Princeton University , Princeton, NJ 08544, USA ; Harvard Center of Mathematical Sciences and Applications , Harvard University , Cambridge, MA 02138, USA ; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University , Cambridge, MA 02138, USA ; Kavli Institute for Bionano Science and Technology, Harvard University , Cambridge, MA 02138, USA.
  2. Joseph Henry Laboratories of Physics , Princeton University , Princeton, NJ 08544, USA ; Lewis-Sigler Institute for Integrative Genomics, Princeton University , Princeton, NJ 08544, USA.

PMID: 26716005 PMCID: PMC4680620 DOI: 10.1098/rsos.150486

Abstract

Information theory is gaining popularity as a tool to characterize performance of biological systems. However, information is commonly quantified without reference to whether or how a system could extract and use it; as a result, information-theoretic quantities are easily misinterpreted. Here, we take the example of pattern-forming developmental systems which are commonly structured as cascades of sequential gene expression steps. Such a multi-tiered structure appears to constitute sub-optimal use of the positional information provided by the input morphogen because noise is added at each tier. However, one must distinguish between the total information in a morphogen and information that can be usefully extracted and interpreted by downstream elements. We demonstrate that quantifying the information that is accessible to the system naturally explains the prevalence of multi-tiered network architectures as a consequence of the noise inherent to the control of gene expression. We support our argument with empirical observations from patterning along the major body axis of the fruit fly embryo. We use this example to highlight the limitations of the standard information-theoretic characterization of biological signalling, which are frequently de-emphasized, and illustrate how they can be resolved.

Keywords: Drosophila; developmental biology; genetic regulation; information theory

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