Inferring cell junction tension and pressure from cell geometry
| Autor: | Chii J. Chan, François Graner, Takashi Hiiragi, Chloé Roffay, Boris Guirao |
|---|---|
| Přispěvatelé: | Matière et Systèmes Complexes (MSC (UMR_7057)), Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), European Molecular Biology Laboratory [Heidelberg] (EMBL), 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), Guirao, Boris, Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) |
| Rok vydání: | 2021 |
| Předmět: |
[SPI] Engineering Sciences [physics]
[SDV]Life Sciences [q-bio] Inference Biology Machine learning computer.software_genre [PHYS] Physics [physics] Stress (mechanics) [SPI]Engineering Sciences [physics] 03 medical and health sciences 0302 clinical medicine Pressure Animals Cell shape Molecular Biology Mechanical Phenomena 030304 developmental biology [PHYS]Physics [physics] 0303 health sciences business.industry Embryo Mammalian [SDV] Life Sciences [q-bio] Intercellular Junctions Tension (geology) Stress Mechanical Artificial intelligence Cell geometry business computer 030217 neurology & neurosurgery Developmental Biology |
| Zdroj: | Development (Cambridge, England) Development (Cambridge, England), Company of Biologists, 2021, 148 (18), pp.dev192773. ⟨10.1242/dev.192773⟩ Development (Cambridge, England), 2021, 148 (18), pp.dev192773. ⟨10.1242/dev.192773⟩ Development |
| ISSN: | 1477-9129 0950-1991 |
| DOI: | 10.1242/dev.192773 |
| Popis: | Recognizing the crucial role of mechanical regulation and forces in tissue development and homeostasis has stirred a demand for in situ measurement of forces and stresses. Among emerging techniques, the use of cell geometry to infer cell junction tensions, cell pressures and tissue stress has gained popularity owing to the development of computational analyses. This approach is non-destructive and fast, and statistically validated based on comparisons with other techniques. However, its qualitative and quantitative limitations, in theory as well as in practice, should be examined with care. In this Primer, we summarize the underlying principles and assumptions behind stress inference, discuss its validity criteria and provide guidance to help beginners make the appropriate choice of its variants. We extend our discussion from two-dimensional stress inference to three dimensional, using the early mouse embryo as an example, and list a few possible extensions. We hope to make stress inference more accessible to the scientific community and trigger a broader interest in using this technique to study mechanics in development. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|