From heterogenous morphogenetic fields to homogeneous regions as a step towards understanding complex tissue dynamics
| Autor: | Satoshi Yamashita, François Graner, Boris Guirao |
|---|---|
| Přispěvatelé: | Matière et Systèmes Complexes (MSC (UMR_7057)), Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Génétique et Biologie du Développement, Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Cell division
Computer science [SDV]Life Sciences [q-bio] Cell Morphogenesis Biology Deformation (meteorology) Models Biological 03 medical and health sciences 0302 clinical medicine medicine Animals Cluster analysis Molecular Biology 030304 developmental biology [PHYS]Physics [physics] 0303 health sciences Cell growth Cellular Potts model Metamorphosis Biological Pupa Image segmentation Morphogenetic field Notum medicine.anatomical_structure Drosophila melanogaster Biological system 030217 neurology & neurosurgery Smoothing Developmental Biology |
| Popis: | Within developing tissues, cell proliferation, cell motility, and other cell behaviors vary spatially, and this variability gives a complexity to the morphogenesis. Recently, novel formalisms have been developed to quantify tissue deformation and underlying cellular processes. A major challenge for the study of morphogenesis now is to objectively define tissue sub-regions exhibiting different dynamics. Here we propose a method to automatically divide a tissue into regions where the local deformation rate is homogeneous. This was achieved by several steps including image segmentation, clustering, and region boundary smoothing. We illustrate the use of the pipeline using a large dataset obtained during the metamorphosis of the Drosophila pupal notum. We also adapt it to determine regions where the time evolution of the local deformation rate is homogeneous. Finally, we generalize its use to find homogeneous regions for the cellular processes such as cell division, cell rearrangement, or cell size and shape changes. We also illustrate it on wing blade morphogenesis. This pipeline will contribute substantially to the analysis of complex tissue shaping and the biochemical and bio-mechanical regulations driving tissue morphogenesis.1Summary statementTissue morphogenesis is driven by multiple mechanisms. This study proposes a methodology to identify regions in the developing tissue, where each of the regions has distinctive cellular dynamics and deformation. |
| Databáze: | OpenAIRE |
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