Standard

DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning. / Azarova, D S; Omelyanchuk, N A; Mironova, V V и др.

в: Vavilovskii Zhurnal Genetiki i Selektsii, Том 27, № 7, 12.2023, стр. 890-897.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Azarova, DS, Omelyanchuk, NA, Mironova, VV, Zemlyanskaya, EV & Lavrekha, VV 2023, 'DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning', Vavilovskii Zhurnal Genetiki i Selektsii, Том. 27, № 7, стр. 890-897. https://doi.org/10.18699/VJGB-23-103

APA

Azarova, D. S., Omelyanchuk, N. A., Mironova, V. V., Zemlyanskaya, E. V., & Lavrekha, V. V. (2023). DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning. Vavilovskii Zhurnal Genetiki i Selektsii, 27(7), 890-897. https://doi.org/10.18699/VJGB-23-103

Vancouver

Azarova DS, Omelyanchuk NA, Mironova VV, Zemlyanskaya EV, Lavrekha VV. DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning. Vavilovskii Zhurnal Genetiki i Selektsii. 2023 дек.;27(7):890-897. doi: 10.18699/VJGB-23-103

Author

Azarova, D S ; Omelyanchuk, N A ; Mironova, V V и др. / DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning. в: Vavilovskii Zhurnal Genetiki i Selektsii. 2023 ; Том 27, № 7. стр. 890-897.

BibTeX

@article{ad8f18b883cd4c728fa1d02554d5714b,
title = "DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning",
abstract = "To study the mechanisms of growth and development, it is necessary to analyze the dynamics of the tissue patterning regulators in time and space and to take into account their effect on the cellular dynamics within a tissue. Plant hormones are the main regulators of the cell dynamics in plant tissues; they form gradients and maxima and control molecular processes in a concentration-dependent manner. Here, we present DyCeModel, a software tool implemented in MATLAB for one-dimensional simulation of tissue with a dynamic cellular ensemble, where changes in hormone (or other active substance) concentration in the cells are described by ordinary differential equations (ODEs). We applied DyCeModel to simulate cell dynamics in plant meristems with different cellular structures and demonstrated that DyCeModel helps to identify the relationships between hormone concentration and cellular behaviors. The tool visualizes the simulation progress and presents a video obtained during the calculation. Importantly, the tool is capable of automatically adjusting the parameters by fitting the distribution of the substance concentrations predicted in the model to experimental data taken from the microscopic images. Noteworthy, DyCeModel makes it possible to build models for distinct types of plant meristems with the same ODEs, recruiting specific input characteristics for each meristem. We demonstrate the tool's efficiency by simulation of the effect of auxin and cytokinin distributions on tissue patterning in two types of Arabidopsis thaliana stem cell niches: the root and shoot apical meristems. The resulting models represent a promising framework for further study of the role of hormone-controlled gene regulatory networks in cell dynamics.",
author = "Azarova, {D S} and Omelyanchuk, {N A} and Mironova, {V V} and Zemlyanskaya, {E V} and Lavrekha, {V V}",
note = "The model development was supported by the budget project FWNR-2022-0020. All computational experiments were supported by the Russian Science Foundation, grant No. 20-14-00140. Copyright {\textcopyright} AUTHORS. Публикация для корректировки.",
year = "2023",
month = dec,
doi = "10.18699/VJGB-23-103",
language = "English",
volume = "27",
pages = "890--897",
journal = "Вавиловский журнал генетики и селекции",
issn = "2500-0462",
publisher = "Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences",
number = "7",

}

RIS

TY - JOUR

T1 - DyCeModel: a tool for 1D simulation for distribution of plant hormones controlling tissue patterning

AU - Azarova, D S

AU - Omelyanchuk, N A

AU - Mironova, V V

AU - Zemlyanskaya, E V

AU - Lavrekha, V V

N1 - The model development was supported by the budget project FWNR-2022-0020. All computational experiments were supported by the Russian Science Foundation, grant No. 20-14-00140. Copyright © AUTHORS. Публикация для корректировки.

PY - 2023/12

Y1 - 2023/12

N2 - To study the mechanisms of growth and development, it is necessary to analyze the dynamics of the tissue patterning regulators in time and space and to take into account their effect on the cellular dynamics within a tissue. Plant hormones are the main regulators of the cell dynamics in plant tissues; they form gradients and maxima and control molecular processes in a concentration-dependent manner. Here, we present DyCeModel, a software tool implemented in MATLAB for one-dimensional simulation of tissue with a dynamic cellular ensemble, where changes in hormone (or other active substance) concentration in the cells are described by ordinary differential equations (ODEs). We applied DyCeModel to simulate cell dynamics in plant meristems with different cellular structures and demonstrated that DyCeModel helps to identify the relationships between hormone concentration and cellular behaviors. The tool visualizes the simulation progress and presents a video obtained during the calculation. Importantly, the tool is capable of automatically adjusting the parameters by fitting the distribution of the substance concentrations predicted in the model to experimental data taken from the microscopic images. Noteworthy, DyCeModel makes it possible to build models for distinct types of plant meristems with the same ODEs, recruiting specific input characteristics for each meristem. We demonstrate the tool's efficiency by simulation of the effect of auxin and cytokinin distributions on tissue patterning in two types of Arabidopsis thaliana stem cell niches: the root and shoot apical meristems. The resulting models represent a promising framework for further study of the role of hormone-controlled gene regulatory networks in cell dynamics.

AB - To study the mechanisms of growth and development, it is necessary to analyze the dynamics of the tissue patterning regulators in time and space and to take into account their effect on the cellular dynamics within a tissue. Plant hormones are the main regulators of the cell dynamics in plant tissues; they form gradients and maxima and control molecular processes in a concentration-dependent manner. Here, we present DyCeModel, a software tool implemented in MATLAB for one-dimensional simulation of tissue with a dynamic cellular ensemble, where changes in hormone (or other active substance) concentration in the cells are described by ordinary differential equations (ODEs). We applied DyCeModel to simulate cell dynamics in plant meristems with different cellular structures and demonstrated that DyCeModel helps to identify the relationships between hormone concentration and cellular behaviors. The tool visualizes the simulation progress and presents a video obtained during the calculation. Importantly, the tool is capable of automatically adjusting the parameters by fitting the distribution of the substance concentrations predicted in the model to experimental data taken from the microscopic images. Noteworthy, DyCeModel makes it possible to build models for distinct types of plant meristems with the same ODEs, recruiting specific input characteristics for each meristem. We demonstrate the tool's efficiency by simulation of the effect of auxin and cytokinin distributions on tissue patterning in two types of Arabidopsis thaliana stem cell niches: the root and shoot apical meristems. The resulting models represent a promising framework for further study of the role of hormone-controlled gene regulatory networks in cell dynamics.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85181496135&origin=inward&txGid=d3cdf38df49b72e0d0f1b522b9b5e7c3

U2 - 10.18699/VJGB-23-103

DO - 10.18699/VJGB-23-103

M3 - Article

C2 - 38213710

VL - 27

SP - 890

EP - 897

JO - Вавиловский журнал генетики и селекции

JF - Вавиловский журнал генетики и селекции

SN - 2500-0462

IS - 7

ER -

ID: 59526375