ArticlePLoS computational biology2024
Image-based force inference by biomechanical simulation.
Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Nematic structures contribute to robust zygotic polarization in C. elegans.PLoS computational biology · 2026Article
- Active foam dynamics of tissue spheroid fusion.Nature communications · 2025Article
- Associative conditioning in gene regulatory network models increases integrative causal emergence.Communications biology · 2025Article
- Apico-basal intercalations enable the integrity of curved epithelia.Computational and structural biotechnology journal · 2025Article
- Characterizing Cellular Physiological States with Three-Dimensional Shape Descriptors for Cell Membranes.Membranes · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
During morphogenesis, cells precisely generate forces that drive cell shape changes and cellular motion. These forces predominantly arise from contractility of the actomyosin cortex, allowing for cortical tension, protrusion formation, and cell division. Image-based force inference can derive such forces from microscopy images, without complicated and time-consuming experimental set-ups. However, current methods do not account for common effects, such as physical confinement and local force generation. Here we propose a force-inference method based on a biophysical model of cell shape, and assess relative cellular surface tension, adhesive tension between cells, as well as cytokinesis and protrusion formation. We applied our method on fluorescent microscopy images of the early C. elegans embryo. Predictions for cell surface tension at the 7-cell stage were validated by measurements using cortical laser ablation. Our non-invasive method facilitates the accurate tracking of force generation, and offers many new perspectives for studying morphogenesis.
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Registered trials
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