ArticlePLoS computational biology2022
Image-based parameter inference for epithelial mechanics.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Modeling bulk mechanical effects in a planar cellular monolayer.Physical review. E · 2025Article
- Vertex models capturing subcellular scales in epithelial tissues.PLoS computational biology · 2025Review
- Cell-Level Modelling of Homeostasis in Confined Epithelial Monolayers.Journal Of Elasticity · 2025Article
- Apico-basal intercalations enable the integrity of curved epithelia.Computational and structural biotechnology journal · 2025Article
- Spectral approaches to stress relaxation in epithelial monolayers.Proceedings. Mathematical, physical, and engineering sciences · 2024Article
- Optical microscopic imaging, manipulation, and analysis methods for morphogenesis research.Microscopy (Oxford, England) · 2024Review
- SimuCell3D: three-dimensional simulation of tissue mechanics with cell polarization.Nature computational science · 2024Article
- Using Histologic Image Analysis to Understand Biophysical Regulations of Epithelial Cell Morphology.Biophysicist (Rockville, Md.) · 2024Article
- From cells to form: A roadmap to study shape emergence in vivo.Biophysical journal · 2023Review
- Two-point optical manipulation reveals mechanosensitive remodeling of cell-cell contacts in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measuring mechanical parameters in tissues, such as the elastic modulus of cell-cell junctions, is essential to decipher the mechanical control of morphogenesis. However, their in vivo measurement is technically challenging. Here, we formulated an image-based statistical approach to estimate the mechanical parameters of epithelial cells. Candidate mechanical models are constructed based on force-cell shape correlations obtained from image data. Substitution of the model functions into force-balance equations at the cell vertex leads to an equation with respect to the parameters of the model, by which one can estimate the parameter values using a least-squares method. A test using synthetic data confirmed the accuracy of parameter estimation and model selection. By applying this method to Drosophila epithelial tissues, we found that the magnitude and orientation of feedback between the junction tension and shrinkage, which are determined by the spring constant of the junction, were correlated with the elevation of tension and myosin-II on shrinking junctions during cell rearrangement. Further, this method clarified how alterations in tissue polarity and stretching affect the anisotropy in tension parameters. Thus, our method provides a novel approach to uncovering the mechanisms governing epithelial morphogenesis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.