sEMTor – The EMT simulator

Developed by Steffen Plunder, see the companion article:

Modelling variability and heterogeneity of EMT scenarios highlights nuclear positioning and protrusions as main drivers of extrusion
Steffen Plunder, Cathy Danesin, Bruno Glise, Marina A Ferreira, Sara Merino Aceituno and Eric Theveneau, Nature Communications (2024).


An interactive, agent-based model to simulate epithelial-to-mesenchymal transition-like events in a pseudostratified epithelium.
 The simulation has epithelial control cells (green) and experimental cells (red). Experimental cells can be instructed to perform some or all of the following events in various orders:
Note: Our scientific conclusions from the model are based on statistics obtained from thousands of simulations of the model shown below. Please note that in some instances, single simulations can differ substantially from the average behavior.

Simulation Apical side (red)

Basal side (black)

Time = 10

0h 12h 24h 36h 48h
A B S

Parameters

(Restart required)

Number of experimental cells

0 1 11
Number of cells undergoing EMT-like events.

Interkinetic nuclear movements

Determines if nuclei of experimental cells perform pre-mitosis rapid apical movement (PRAM).

EMT: Protrusions

Determines if the basal point of experimental cells display a seek-and-grab behavior (P). This can only occur if the EMT scenario includes B (loss of basal adhesion).
Heterogeneity
If checked, each experimental cell randomly picks an EMT-like scenario. Then users can set the probability of INM and Protrusions to 0, 50 or 100%.
Determines which EMT-like scenario experimental cells will perform.

EMT scenarios per cell

# A B S INM Protrusions
1 10h 18h none Yes Yes