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Model of Morphogenesis

Authors :
Andrey Minarsky
Christophe Soulé
Yue Wang
Robert Penner
Nadya Morozova
Institut de Biologie Intégrative de la Cellule (I2BC)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
PARi (PARI)
Département Plateforme (PF I2BC)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Intégrative de la Cellule (I2BC)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Source :
Journal of Computational Biology: A Journal of Computational Molecular Cell Biology, Journal of Computational Biology: A Journal of Computational Molecular Cell Biology, 2020, ⟨10.1089/cmb.2019.0414⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

We build a theoretical model of morphogenesis. This model describes cell fate in the developing organism using the notion of epigenetic code of each cell. Namely, given the epigenetic spectra of a cell and its neighboring cells, we can determine the corresponding cell event it will perform. This means that the properties of a group of cells (comprising an embryo or its part) at any time point are also known, and thus, the evolution of an embryo can be described. By this strategy, it is possible to establish the tissue, organ, or embryo shapes at any time, starting from a zygote. As an essential part of the model, the formalization of the notion of cell potency is introduced, and the related properties are discussed.

Details

Language :
English
Database :
OpenAIRE
Journal :
Journal of Computational Biology: A Journal of Computational Molecular Cell Biology, Journal of Computational Biology: A Journal of Computational Molecular Cell Biology, 2020, ⟨10.1089/cmb.2019.0414⟩
Accession number :
edsair.doi.dedup.....908b932b63491a4d052048e0af44a7a9
Full Text :
https://doi.org/10.1089/cmb.2019.0414⟩