Standard

PlantLayout pipeline to model tissue patterning. / Savina, M. S.; Mironova, V. V.

In: Вавиловский журнал генетики и селекции, Vol. 24, No. 1, 01.01.2020, p. 102-107.

Research output: Contribution to journalArticlepeer-review

Harvard

Savina, MS & Mironova, VV 2020, 'PlantLayout pipeline to model tissue patterning', Вавиловский журнал генетики и селекции, vol. 24, no. 1, pp. 102-107. https://doi.org/10.18699/VJ20.590

APA

Savina, M. S., & Mironova, V. V. (2020). PlantLayout pipeline to model tissue patterning. Вавиловский журнал генетики и селекции, 24(1), 102-107. https://doi.org/10.18699/VJ20.590

Vancouver

Savina MS, Mironova VV. PlantLayout pipeline to model tissue patterning. Вавиловский журнал генетики и селекции. 2020 Jan 1;24(1):102-107. doi: 10.18699/VJ20.590

Author

Savina, M. S. ; Mironova, V. V. / PlantLayout pipeline to model tissue patterning. In: Вавиловский журнал генетики и селекции. 2020 ; Vol. 24, No. 1. pp. 102-107.

BibTeX

@article{29d96893f15542e7951cbed5fcc1c3fd,
title = "PlantLayout pipeline to model tissue patterning",
abstract = "To study the mechanisms underlying developmental pattern formation in a tissue, one needs to analyze the dynamics of the regulators in time and space across the tissue of a specific architecture. This problem is essential for the developmental regulators (morphogens) that distribute over the tissues anisotropically, forming there maxima and gradients and guiding cellular processes in a dose-dependent manner. Here we present the PlantLayout pipeline for MATLAB software, which facilitates the computational studies of tissue patterning. With its help, one can build a structural model of a two-dimensional tissue, embed it into a mathematical model in ODEs, perform numerical simulations, and visualize the obtained results - everything on the same platform. As a result, one can study the concentration dynamics of developmental regulators over the cell layout reconstructed from the real tissue. PlantLayout allows studying the dynamics and the output of gene networks guided by the developmental regulator in specific cells. The gene networks could be different for different cell types. One of the obstacles that PlantLayout removes semi-automatically is the determination of the cell wall orientation which is relevant when cells in the tissue have a polarity. Additionally, PlantLayout allows automatically extracting other quantitative and qualitative features of the cells and the cell walls, which might help in the modeling of a developmental pattern, such as the length and the width of the cell walls, the set of the neighboring cells, cell volume and cell perimeter. We demonstrate PlantLayout performance on the model of phytohormone auxin distribution over the plant root tip.",
keywords = "Image analysis, Mathematical modeling, Morphogen, Pattern, Polarity, PLANT, MECHANISM, pattern, SOMITOGENESIS, image analysis, MATLAB, SOFTWARE, ROOT APICAL MERISTEM, morphogen, AUXIN TRANSPORT, GROWTH, mathematical modeling, polarity",
author = "Savina, {M. S.} and Mironova, {V. V.}",
note = "Савина М.С., Миронова В.В. PlantLayout - программное средство для моделирования распределения веществ в тканях различной структуры // Вавиловский журнал генетики и селекции. - 2020. - Т. 24. - № 1. - С. 102-107",
year = "2020",
month = jan,
day = "1",
doi = "10.18699/VJ20.590",
language = "English",
volume = "24",
pages = "102--107",
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 = "1",

}

RIS

TY - JOUR

T1 - PlantLayout pipeline to model tissue patterning

AU - Savina, M. S.

AU - Mironova, V. V.

N1 - Савина М.С., Миронова В.В. PlantLayout - программное средство для моделирования распределения веществ в тканях различной структуры // Вавиловский журнал генетики и селекции. - 2020. - Т. 24. - № 1. - С. 102-107

PY - 2020/1/1

Y1 - 2020/1/1

N2 - To study the mechanisms underlying developmental pattern formation in a tissue, one needs to analyze the dynamics of the regulators in time and space across the tissue of a specific architecture. This problem is essential for the developmental regulators (morphogens) that distribute over the tissues anisotropically, forming there maxima and gradients and guiding cellular processes in a dose-dependent manner. Here we present the PlantLayout pipeline for MATLAB software, which facilitates the computational studies of tissue patterning. With its help, one can build a structural model of a two-dimensional tissue, embed it into a mathematical model in ODEs, perform numerical simulations, and visualize the obtained results - everything on the same platform. As a result, one can study the concentration dynamics of developmental regulators over the cell layout reconstructed from the real tissue. PlantLayout allows studying the dynamics and the output of gene networks guided by the developmental regulator in specific cells. The gene networks could be different for different cell types. One of the obstacles that PlantLayout removes semi-automatically is the determination of the cell wall orientation which is relevant when cells in the tissue have a polarity. Additionally, PlantLayout allows automatically extracting other quantitative and qualitative features of the cells and the cell walls, which might help in the modeling of a developmental pattern, such as the length and the width of the cell walls, the set of the neighboring cells, cell volume and cell perimeter. We demonstrate PlantLayout performance on the model of phytohormone auxin distribution over the plant root tip.

AB - To study the mechanisms underlying developmental pattern formation in a tissue, one needs to analyze the dynamics of the regulators in time and space across the tissue of a specific architecture. This problem is essential for the developmental regulators (morphogens) that distribute over the tissues anisotropically, forming there maxima and gradients and guiding cellular processes in a dose-dependent manner. Here we present the PlantLayout pipeline for MATLAB software, which facilitates the computational studies of tissue patterning. With its help, one can build a structural model of a two-dimensional tissue, embed it into a mathematical model in ODEs, perform numerical simulations, and visualize the obtained results - everything on the same platform. As a result, one can study the concentration dynamics of developmental regulators over the cell layout reconstructed from the real tissue. PlantLayout allows studying the dynamics and the output of gene networks guided by the developmental regulator in specific cells. The gene networks could be different for different cell types. One of the obstacles that PlantLayout removes semi-automatically is the determination of the cell wall orientation which is relevant when cells in the tissue have a polarity. Additionally, PlantLayout allows automatically extracting other quantitative and qualitative features of the cells and the cell walls, which might help in the modeling of a developmental pattern, such as the length and the width of the cell walls, the set of the neighboring cells, cell volume and cell perimeter. We demonstrate PlantLayout performance on the model of phytohormone auxin distribution over the plant root tip.

KW - Image analysis

KW - Mathematical modeling

KW - Morphogen

KW - Pattern

KW - Polarity

KW - PLANT

KW - MECHANISM

KW - pattern

KW - SOMITOGENESIS

KW - image analysis

KW - MATLAB

KW - SOFTWARE

KW - ROOT APICAL MERISTEM

KW - morphogen

KW - AUXIN TRANSPORT

KW - GROWTH

KW - mathematical modeling

KW - polarity

UR - http://www.scopus.com/inward/record.url?scp=85082972975&partnerID=8YFLogxK

U2 - 10.18699/VJ20.590

DO - 10.18699/VJ20.590

M3 - Article

C2 - 33659787

AN - SCOPUS:85082972975

VL - 24

SP - 102

EP - 107

JO - Вавиловский журнал генетики и селекции

JF - Вавиловский журнал генетики и селекции

SN - 2500-0462

IS - 1

ER -

ID: 23982069