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Morphogenesis software based on epigenetic code concept

The process of morphogenesis is an evolution of shape of an organism together with the differentiation of its parts. This process encompasses numerous biological processes ranging from embryogenesis to regeneration following crisis such as amputation or transplantation. A fundamental theoretical que...

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Autores principales: Bessonov, Nikolay, Butuzova, Oksana, Minarsky, Andrey, Penner, Robert, Soulé, Christophe, Tosenberger, Alen, Morozova, Nadya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806383/
https://www.ncbi.nlm.nih.gov/pubmed/31666938
http://dx.doi.org/10.1016/j.csbj.2019.08.007
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author Bessonov, Nikolay
Butuzova, Oksana
Minarsky, Andrey
Penner, Robert
Soulé, Christophe
Tosenberger, Alen
Morozova, Nadya
author_facet Bessonov, Nikolay
Butuzova, Oksana
Minarsky, Andrey
Penner, Robert
Soulé, Christophe
Tosenberger, Alen
Morozova, Nadya
author_sort Bessonov, Nikolay
collection PubMed
description The process of morphogenesis is an evolution of shape of an organism together with the differentiation of its parts. This process encompasses numerous biological processes ranging from embryogenesis to regeneration following crisis such as amputation or transplantation. A fundamental theoretical question is where exactly do these instructions for (re-)construction reside and how are they implemented? We have recently proposed a set of concepts, aiming to respond to these questions and to provide an appropriate mathematical formalization of the geometry of morphogenesis [1]. First, we consider a possibility that the evolution of shape is determined by epigenetic information, responsible for realization of different types of cell events. Second, we suggest a set of rules for converting this epigenetic information into instructive signals for cell event for each cell, as well as for transforming it after each cell event. Next we give notions of cell state, determined by its epigenetic array, and cell event, which is a change of cell state, and formalize development as a graph (tree) of cell states connected by 5 types of cell events, corresponding to the processes of cell division, cell growth, cell death, cell movement and cell differentiation. Here we present a Morphogenesis software capable to simulate an evolution of a 3D embryo starting from zygote, following a set of rules, based on our theoretical assumptions, and thus to provide a proof-of-concept of the hypothesis of epigenetic code regulation. The software creates a developing embryo and a corresponding graph of cell events according to the zygotic epigenetic spectrum and chosen parameters of the developmental rules. Variation of rules influencing the resulting shape of an embryo may help elucidating the principal laws underlying pattern formation.
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spelling pubmed-68063832019-10-30 Morphogenesis software based on epigenetic code concept Bessonov, Nikolay Butuzova, Oksana Minarsky, Andrey Penner, Robert Soulé, Christophe Tosenberger, Alen Morozova, Nadya Comput Struct Biotechnol J Research Article The process of morphogenesis is an evolution of shape of an organism together with the differentiation of its parts. This process encompasses numerous biological processes ranging from embryogenesis to regeneration following crisis such as amputation or transplantation. A fundamental theoretical question is where exactly do these instructions for (re-)construction reside and how are they implemented? We have recently proposed a set of concepts, aiming to respond to these questions and to provide an appropriate mathematical formalization of the geometry of morphogenesis [1]. First, we consider a possibility that the evolution of shape is determined by epigenetic information, responsible for realization of different types of cell events. Second, we suggest a set of rules for converting this epigenetic information into instructive signals for cell event for each cell, as well as for transforming it after each cell event. Next we give notions of cell state, determined by its epigenetic array, and cell event, which is a change of cell state, and formalize development as a graph (tree) of cell states connected by 5 types of cell events, corresponding to the processes of cell division, cell growth, cell death, cell movement and cell differentiation. Here we present a Morphogenesis software capable to simulate an evolution of a 3D embryo starting from zygote, following a set of rules, based on our theoretical assumptions, and thus to provide a proof-of-concept of the hypothesis of epigenetic code regulation. The software creates a developing embryo and a corresponding graph of cell events according to the zygotic epigenetic spectrum and chosen parameters of the developmental rules. Variation of rules influencing the resulting shape of an embryo may help elucidating the principal laws underlying pattern formation. Research Network of Computational and Structural Biotechnology 2019-09-03 /pmc/articles/PMC6806383/ /pubmed/31666938 http://dx.doi.org/10.1016/j.csbj.2019.08.007 Text en © 2019 Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Bessonov, Nikolay
Butuzova, Oksana
Minarsky, Andrey
Penner, Robert
Soulé, Christophe
Tosenberger, Alen
Morozova, Nadya
Morphogenesis software based on epigenetic code concept
title Morphogenesis software based on epigenetic code concept
title_full Morphogenesis software based on epigenetic code concept
title_fullStr Morphogenesis software based on epigenetic code concept
title_full_unstemmed Morphogenesis software based on epigenetic code concept
title_short Morphogenesis software based on epigenetic code concept
title_sort morphogenesis software based on epigenetic code concept
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806383/
https://www.ncbi.nlm.nih.gov/pubmed/31666938
http://dx.doi.org/10.1016/j.csbj.2019.08.007
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