Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
PlantLayout pipeline to model tissue patterning. / Savina, M. S.; Mironova, V. V.
в: Вавиловский журнал генетики и селекции, Том 24, № 1, 01.01.2020, стр. 102-107.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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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