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Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure.
Tah, Indrajit; Haertter, Daniel; Crawford, Janice M; Kiehart, Daniel P; Schmidt, Christoph F; Liu, Andrea J.
Afiliação
  • Tah I; Speciality Glass Division, CSIR-Central Glass and Ceramic Research Institute, Kolkata, India.
  • Haertter D; Department of Physics and Astronomy, University of Pennsylvania, PA, USA.
  • Crawford JM; Institute of Pharmacology and Toxicology, University Medical Center and Campus Institute Data Science (CIDAS), University of Göttingen, Germany.
  • Kiehart DP; Department of Physics and Soft Matter Center, Duke University, Durham, NC, USA.
  • Schmidt CF; Department of Biology, Duke University, Durham, NC, USA.
  • Liu AJ; Department of Biology, Duke University, Durham, NC, USA.
ArXiv ; 2023 Dec 20.
Article em En | MEDLINE | ID: mdl-38196754
ABSTRACT
Dorsal closure is a process that occurs during embryogenesis of Drosophila melanogaster. During dorsal closure, the amnioserosa (AS), a one-cell thick epithelial tissue that fills the dorsal opening, shrinks as the lateral epidermis sheets converge and eventually merge. During this process, the aspect ratio of amnioserosa cells increases markedly. The standard 2-dimensional vertex model, which successfully describes tissue sheet mechanics in multiple contexts, would in this case predict that the tissue should fluidize via cell neighbor changes. Surprisingly, however, the amnioserosa remains an elastic solid with no such events. We here present a minimal extension to the vertex model that explains how the amnioserosa can achieve this unexpected behavior. We show that continuous shrink-age of the preferred cell perimeter and cell perimeter polydispersity lead to the retention of the solid state of the amnioserosa. Our model accurately captures measured cell shape and orientation changes and predicts non-monotonic junction tension that we confirm with laser ablation experiments.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ArXiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: ArXiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia País de publicação: Estados Unidos