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National Academy of Sciences, Proceedings of the National Academy of Sciences, 18(112), 2015

DOI: 10.1073/pnas.1504407112

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Inferring epigenetic dynamics from kin correlations

Journal article published in 2015 by Sahand Hormoz, Nicolas Desprat, Boris I. Shraiman
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Significance Different cells in a clonal population can be in different phenotypic states, which persist for a few generations before switching to another state. Dynamics of switching between these states determines the extent of correlations between the phenotypes of related cells. Here we demonstrate—using ideas from statistical physics—that it is possible to infer simple stochastic dynamics along lineages from an instantaneous measurement of phenotypic correlations in a cell population with defined genealogy. The approach is validated using experimental observations on Pseudomonas aeruginosa colonies.