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XB-ART-60437
iScience 2023 Dec 15;2612:108398. doi: 10.1016/j.isci.2023.108398.
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Information integration during bioelectric regulation of morphogenesis of the embryonic frog brain.

Manicka S , Pai VP , Levin M .


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Spatiotemporal patterns of cellular resting potential regulate several aspects of development. One key aspect of the bioelectric code is that transcriptional and morphogenetic states are determined not by local, single-cell, voltage levels but by specific distributions of voltage across cell sheets. We constructed and analyzed a minimal dynamical model of collective gene expression in cells based on inputs of multicellular voltage patterns. Causal integration analysis revealed a higher-order mechanism by which information about the voltage pattern was spatiotemporally integrated into gene activity, as well as a division of labor among and between the bioelectric and genetic components. We tested and confirmed predictions of this model in a system in which bioelectric control of morphogenesis regulates gene expression and organogenesis: the embryonic brain of the frog Xenopus laevis. This study demonstrates that machine learning and computational integration approaches can advance our understanding of the information-processing underlying morphogenetic decision-making, with a potential for other applications in developmental biology and regenerative medicine.

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Species referenced: Xenopus laevis
Genes referenced: camp eno3 foxg1 notch1 otx2 pax6 psmd6 sox2
GO keywords: cell proliferation [+]


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References [+] :
Adams, Bioelectric signalling via potassium channels: a mechanism for craniofacial dysmorphogenesis in KCNJ2-associated Andersen-Tawil Syndrome. 2016, Pubmed, Xenbase