ArticleScientific reports2023
Morphomigrational description as a new approach connecting cell's migration with its morphology.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Radical-Mediated, Substrate-Independent Fabrication of Hybrid Solid-Hydrogel Materials With Tunable Crosslinking: An Initiator- and Crosslinker-Free Approach.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- High-content phenotyping reveals Golgi dynamics and their role in cell cycle regulation.The Journal of cell biology · 2026Article
- ShapeSpaceExplorer: Analysis of morphological transitions in migrating cells using similarity-based shape space mapping.PLoS computational biology · 2026Article
- Aquaporin 5 expression regulates MDA-MB-231 spheroid multicellular invasion.American journal of physiology. Cell physiology · 2025Article
- Methodological study of fibroblasts MEF 3T3 heterogeneity cultured on hydrogel substrates with different surface functionalization.bioRxiv : the preprint server for biology · 2025Article
- Ovarian cancer cells exhibit diverse migration strategies on stiff collagenous substrata.Biophysical journal · 2024Article
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7 authors.
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Abstract
The examination of morphology and migration of cells plays substantial role in understanding the cellular behaviour, being described by plethora of quantitative parameters and models. These descriptions, however, treat cell migration and morphology as independent properties of temporal cell state, while not taking into account their strong interdependence in adherent cells. Here we present the new and simple mathematical parameter called signed morphomigrational angle (sMM angle) that links cell geometry with translocation of cell centroid, considering them as one morphomigrational behaviour. The sMM angle combined with pre-existing quantitative parameters enabled us to build a new tool called morphomigrational description, used to assign the numerical values to several cellular behaviours. Thus, the cellular activities that until now were characterized using verbal description or by complex mathematical models, are described here by a set of numbers. Our tool can be further used in automatic analysis of cell populations as well as in studies focused on cellular response to environmental directional signals.
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