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Morphogenesis Software based on Epigenetic Code Concept
- Source :
- Computational and Structural Biotechnology Journal, 17, Computational and Structural Biotechnology Journal, Computational and Structural Biotechnology Journal, 2019, 17, pp.1203--1216. ⟨10.1016/j.csbj.2019.08.007⟩, Computational and Structural Biotechnology Journal, Vol 17, Iss, Pp 1203-1216 (2019)
- Publication Year :
- 2019
-
Abstract
- 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.<br />SCOPUS: ar.j<br />info:eu-repo/semantics/published
- Subjects :
- Cell division
Computer science
Epigenetic code
Cellular differentiation
lcsh:Biotechnology
[SDV]Life Sciences [q-bio]
Biophysics
Morphogenesis
Computational biology
Biochemistry
03 medical and health sciences
0302 clinical medicine
Structural Biology
lcsh:TP248.13-248.65
Genetics
030304 developmental biology
0303 health sciences
Event (computing)
Cell growth
Généralités
Other Quantitative Biology (q-bio.OT)
Quantitative Biology - Other Quantitative Biology
Computer Science Applications
Transplantation
030220 oncology & carcinogenesis
FOS: Biological sciences
Graph (abstract data type)
Biotechnology
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 20010370
- Database :
- OpenAIRE
- Journal :
- Computational and Structural Biotechnology Journal, 17, Computational and Structural Biotechnology Journal, Computational and Structural Biotechnology Journal, 2019, 17, pp.1203--1216. ⟨10.1016/j.csbj.2019.08.007⟩, Computational and Structural Biotechnology Journal, Vol 17, Iss, Pp 1203-1216 (2019)
- Accession number :
- edsair.doi.dedup.....c3cbbec203b8fefd814b3e1ab090ba38
- Full Text :
- https://doi.org/10.1016/j.csbj.2019.08.007⟩