Transition paths across the EMT landscape are dictated by network logic.
A 𧡠on the perils of ignoring logic in ODE models of gene regulatory networks (GRNs)
π also read on if you like: EMT, bifurcations, multistability, or Waddington-esque landscapes
https://www.biorxiv.org/content/10.1101/2024.12.03.626660
A 𧡠on the perils of ignoring logic in ODE models of gene regulatory networks (GRNs)
π also read on if you like: EMT, bifurcations, multistability, or Waddington-esque landscapes
https://www.biorxiv.org/content/10.1101/2024.12.03.626660
Comments
(*even if you may not realize it; ODEs make the choice less explicit than e.g. Boolean network modeling)
Target genes display both additive and multiplicative effects, as neat exps from @arjunraj.bsky.social lab have shown
https://elifesciences.org/articles/59388
ALSO competing βοΈ models of EMT in the literature are constructed with different logic..
OR: Tian et al. 10.1016/j.bpj.2013.07.011
AND: Lu et al. 10.1073/pnas.1318192110
For AND logic
π increasing direct activation of B destabilizes the intermediate state
π whereas increasing the inhibition of miR-200 destabilizes the epithelial state, leading to earlier initiation of EMT
We undertake analysis of a large parameter space of tristable EMT models to show that these results hold true generally, also for alt model formulations.