====== Module 1: Delta-Notch (ODE systems, ODEs on a grid) ====== Author: Fabian Rost ===== Aim ===== * learn about ODE models (dynamics in morpheus, steady states analytically) * develop first models ===== Description ===== ==== Basic ODEs ==== * get to know what students know about ODEs and adjust the module to the pre-knowledge * give them very simple sketches of biomolecular models, which they should translate into ODEs, e.g. digraph finite_state_machine { rankdir=LR; size="9,5" node [shape = circle]; a[label="", fixedsize="false", width=0, height=0, shape=none]; a -> A [ label = "k1" ]; } digraph finite_state_machine { rankdir=LR; size="9,5" node [shape = circle]; A -> A [ label = "k2" ]; } digraph finite_state_machine { rankdir=LR; size="9,5" node [shape = circle]; a[label="", fixedsize="false", width=0, height=0, shape=none]; A -> a [ label = "k3" ]; } digraph finite_state_machine { rankdir=LR; size="9,5" node [shape = circle]; a[label="", fixedsize="false", width=0, height=0, shape=none]; b[label="", fixedsize="false", width=0, height=0, shape=none]; b -> A [ label = "k4" ]; A -> a [ label = "k5" ]; } * could be translated to the following ODEs: \begin{align} \dot A &= k_1 \\ \dot A &= k_2 A \\ \dot A &= - k_3 A \\ \dot A &= k_4 - k_5 A \end{align} * discuss those ODEs by * calculate steady state (do not calculate the stability, to complicated for biologists) * simulate in morpheus * typical models for biochemistry/systems biology use hill kinetics: digraph { size="9,5" node [shape = circle]; a[label="", fixedsize="false", width=0, height=0, shape=none]; ab[label="", fixedsize="false", width=0, height=0, shape=none]; c[label="", fixedsize="false", width=0, height=0, shape=none]; a -> ab[arrowhead=None]; ab -> A; A -> c B -> ab[arrowhead=tee]; {rank=same; a; ab; A; c}; } \begin{align} \dot A &= \frac{\theta^n}{\theta^n + B^n} - k A \end{align} ==== Delta-Notch ==== * then discuss the delta-notch sketch with two species * start with the Collier model * let them simplify the Collier model sketch (remove the delta or notch species) * let them develop an ODE for this system (they should be able to do so from the above examples) * they could come up with something like: \begin{align} \dot A_1 &= \frac{\theta^n}{\theta^n + A_2^n} - A_1 \\ \dot A_2 &= \frac{\theta^n}{\theta^n + A_1^n} - A_2 \end{align} * this system is bistable for certain parameter ranges, if the students are advanced they might find this out themselves * bistable e.g. for $\theta=0.5$, $n=4$, * if they have this system running in morpheus go spatial and let them simulate the system on a square and hexagonal grid * then you could also move to shaped cpm cells or even moving cells * students won't do so much on their own in this session, it is a lot teaching on ODEs (don't be theoretical here, not enough time!) and introducing morpheus Paper: * Joanne R. Collier, Nicholas A.M. Monk, Philip K. Maini, Julian H. Lewis, Pattern Formation by Lateral Inhibition with Feedback: a Mathematical Model of Delta-Notch Intercellular Signalling, Journal of Theoretical Biology, Volume 183, Issue 4, 21 December 1996, Pages 429-446, ISSN 0022-5193, http://dx.doi.org/10.1006/jtbi.1996.0233. ===== Morpheus models =====
1 k1 * A