Dynamical transitions of the actomyosin cortex can trigger single cell morphogenesis
Zhu, H.; Alonso-Matilla, R.; McDargh, Z. A.; O'Shaughnessy, B.
Show abstract
Morphogenetic changes driven by actomyosin contractile forces are well-characterized at the tissue level. At the single cell level, shape changes steered by actomyosin contractile forces include mitotic rounding and cytokinetic furrow ingression. In some cases, more complex shape transitions associated with spatial patterning of the cortex were observed. The actomyosin cortex was widely studied using active gel frameworks, and stabilized contractile instabilities were shown to generate patterns, but whether complex shapes can emerge from these cortical patterns is not established. Here we show that complex morphogenetic changes at the single cell level can accompany cortical patterns, using a minimal active gel model. For sufficiently low membranecortex drag, an initially homogeneous cortex spontaneously develops stripes associated with stable furrows, similar to furrowing observed in cells. Our work suggests that controlled cortical instability can trigger morphogenesis at the cellular level.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mechanical Feedback and Robustness of Apical Constrictions in Drosophila Embryo Ventral Furrow Formation 97%
- Derivation and simulation of a computational model of active cell populations: How overlap avoidance, deformability, cell-cell junctions and cytoskeletal forces affect alignment 97%
- Computational exploration of treadmilling and protrusion growth observed in fire ant rafts 96%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Role of Delta-Notch signalling molecules on cell-cell adhesion in determining heterogeneous chemical and cell morphological patterning 96%
- Substrate-rigidity dependent migration of an idealized twitching bacterium 96%
- Curvature-driven feedback on aggregation-diffusion of proteins in lipid bilayers 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.