Back

3DTubularVoronoi: a Voronoi-Based Framework for Estimating Equilibrium Cellular Packing in 3D Tubular Epithelia

Guitou, L.; Serrano, E. T.; Conejero, J. A.; Buceta, J.

2025-09-06 bioinformatics
10.1101/2025.09.02.673513 bioRxiv
Show abstract

Epithelial tube morphogenesis is fundamental to organ development and functioning, yet accurately modeling its intricate 3D organization and dynamics remains a challenge. In particular, current computational tools fail to capture the spontaneous emergence of non-transient scutoids, a geometric feature essential for accommodating curvature in epithelia. Here, we introduce 3DTubularVoronoi, a novel simulation framework for modeling epithelial tube morphogenesis and determining their stable cell packing organization depending on mechanical parameters. The model employs a Voronoi tessellation strategy combined with an energy minimization approach using the Metropolis-Hasting algorithm. 3DTubularVoronoi enables realistic epithelial tube simulations, accounting for scutoid formation and dynamic rearrangements. This tool provides an open-source, user-friendly solution for exploring gland morphogenesis and offering insights into developmental biology and tissue engineering. Availabilityhttps://github.com/TheSiMBioSysI2SysBio/3DTubularVoronoi

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.