@article {Economou2019.12.27.889493, author = {Andrew D. Economou and Nicholas A.M. Monk and Jeremy B.A. Green}, title = {Perturbation analysis of a multi-morphogen Turing Reaction-Diffusion stripe patterning system reveals key regulatory interactions}, elocation-id = {2019.12.27.889493}, year = {2019}, doi = {10.1101/2019.12.27.889493}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Periodic patterning is extremely widespread in developmental biology and is broadly modelled by Reaction-Diffusion (RD) processes. However, the minimal two-component RD system is vastly simpler than the multimolecular events that current biology is now able to describe. Moreover, RD models are typically under-constrained such that it is often hard to meaningfully relate the model architecture to real interactions measured experimentally. To address both these issues, we investigated the periodic striped patterning of the rugae (transverse ridges) in the roof of the mammalian palate. We experimentally implicated a small number of major signalling pathways and established theoretical limits on the number of pathway network topologies that can account for the stable spatial phase relationships of their observed signalling outputs. We further conducted perturbation analysis both experimentally and in silico, critically to assess the effects of perturbations on established patterns. We arrived at a relatively highly-constrained number of possible networks and found that these share some common motifs. Finally, we examined the dynamics of pattern appearance and discovered a core network consisting of epithelium-specific FGF and Wnt as mutually antagonistic {\textquotedblleft}activators{\textquotedblright} and Shh as the {\textquotedblleft}inhibitor{\textquotedblright}, which initiates the periodicity and whose existence constrains the network topology still further. Together these studies articulate the principles of multi-morphogen RD patterning and demonstrate the utility of perturbation analysis as a tool for constraining networks in this and, in principle, any RD system.}, URL = {https://www.biorxiv.org/content/early/2019/12/27/2019.12.27.889493}, eprint = {https://www.biorxiv.org/content/early/2019/12/27/2019.12.27.889493.full.pdf}, journal = {bioRxiv} }