4-29 September 2017
Nordita, Stockholm
Europe/Stockholm timezone

Information theoretic analysis of the directional influence between cellular processes

13 Sep 2017, 14:00
122:026 (Nordita, Stockholm)


Nordita, Stockholm


David Lacoste (ESPCI)


Inferring the directionality of interactions between cellular processes is a major challenge in systems biology. Time-lagged correlations allow to discriminate between alternative models, but they still rely on assumed underlying interactions. Here, we show that an information-theoretic quantity, the transfer entropy (TE), quantifies the directional influence between fluctuating variables in a model-free way. We present a theoretical approach to compute the transfer entropy, even when the noise has an extrinsic component or in the presence of feedback. We re-analyze the experimental data from Kiviet et al. (2014) [1], where fluctuations in gene expression of metabolic enzymes and growth rate have been measured in single cells of Escherichia coli. We confirm the formerly detected modes between growth and gene expression, while prescribing more stringent conditions on the structure of noise sources [2]. Time permitting, I will also present a different project related to the kinetics and thermodynamics of reversible polymerization. More specifically, we are interested in the relaxation dynamics of information carrying polymers undergoing reversible exchange reactions [3]. [1] Stochasticity of metabolism and growth at the single-cell level, D. J. Kiviet et al., Nature, 514, 376 (2014). [2] Information theoretic analysis of the directional influence between cellular processes, S. Lahiri et al., PLOS ONE, under review (2017) [3] Length and sequence relaxation of copolymers under recombination reactions, A. Blokhuis and D. Lacoste, J. Chem. Phys., in press (2017)

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