A mechanical wave travels along a genetic guide to drive the formation of an epithelial furrow
Popkova, A.; Pagnotta, S.; Rauzi, M.
Show abstract
Epithelial furrowing is a morphogenetic process that is pivotal during embryo gastrulation, neurulation and the shaping of the animal body. A furrow often results from a fold that propagates along a line. How fold formation and propagation are initiated, driven and controlled is still poorly understood. To shed new light on this fundamental morphogenetic process, we study the formation of the cephalic furrow: a fold that runs along the dorsal-ventral axis of the embryo during early Drosophila gastrulation and the developmental role of which is still unknown. Here, we provide evidence of its function and show that the cephalic furrow is initiated by two groups of cells located on the left and right lateral sides of the embryo. These cellular clusters work as a pacemaker triggering a bi-directional morphogenetic wave powered by actomyosin contractions and sustained by de novo medial apex-to-apex cell adhesion. The Cartesian position of the pacemakers is under the cross-control of the embryo anterior-posterior and dorsal-ventral gene patterning systems. Thus, furrow initiation and propagation are driven by a mechanical trigger wave that travels under the control of a multidimensional genetic guide.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cytokinesis-dependent twisting of HMR-1/Cadherin regulates the first left-right symmetry-breaking event in Caenorhabditis elegans 97%
- Conserved Circuits for Direction Selectivity in the Primate Retina 96%
- Force-activated zyxin assemblies coordinate actin nucleation and crosslinking to orchestrate stress fiber repair 96%
Similar papers in this journal
Similar papers in this journal
"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.