ArticleProceedings of the National Academy of Sciences of the United States of America2007
Cell adhesion and cortex contractility determine cell patterning in the Drosophila retina.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.
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87 citing papers in PubMed, 215 citations in OpenAlex.
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- Modelling the Collective Mechanical Regulation of the Structure and Morphology of Epithelial Cell Layers.Frontiers in cell and developmental biology · 2022Article
- Hexagonal patterning of the Drosophila eye.Developmental biology · 2021Review
- Differential cell adhesion implemented by Drosophila Toll corrects local distortions of the anterior-posterior compartment boundary.Nature communications · 2020Article
- Gradient in cytoplasmic pressure in germline cells controls overlying epithelial cell morphogenesis.PLoS biology · 2020Article
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27 more citing papers are in PubMed but not listed here.
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5 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Because of the resemblance of many epithelial tissues to densely packed soap bubbles, it has been suggested that surface minimization, which drives soap bubble packing, could be governing cell packing as well. We test this by modeling the shape of the cells in a Drosophila retina ommatidium. We use the observed configurations and shapes in wild-type flies, as well as in flies with different numbers of cells per ommatidia, and mutants with cells where E- or N-cadherin is either deleted or misexpressed. We find that surface minimization is insufficient to model the experimentally observed shapes and packing of the cells based on their cadherin expression. We then consider a model in which adhesion leads to a surface increase, balanced by cell cortex contraction. Using the experimentally observed distributions of E- and N-cadherin, we simulate the packing and cell shapes in the wild-type eye. Furthermore, by changing only the corresponding parameters, this model can describe the mutants with different numbers of cells or changes in cadherin expression.
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