Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior-0

<p><b>Copyright information:</b></p><p>Taken from "Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior"</p><p>http://www.biomedcentral.com/1752-0509/1/46</p><p>BMC Systems Biology 2007;1():46-46.</p><p>Published online 22 Oct 2007</p><p>PMCID:PMC2190763.</p><p></p>ttom right), and nine sub-cellular agents (blue) comprise a single simulated mesendodermal cell (bottom left). (Top Right) Sliders, buttons, and graphical outputs where the user can adjust parameter levels and quantitatively monitor emergent behavior, such as the Fn concentration and accumulation of polarity signals in space and time

Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior-3

<p><b>Copyright information:</b></p><p>Taken from "Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior"</p><p>http://www.biomedcentral.com/1752-0509/1/46</p><p>BMC Systems Biology 2007;1():46-46.</p><p>Published online 22 Oct 2007</p><p>PMCID:PMC2190763.</p><p></p>s in single cell velocity reflect the temporal balance between cadherin and integrin signaling, as well as the Fn gradient under the cell, which is in a gradient across the tissue, but still somewhat random from pixel to pixel. The velocity returns to 0 at the end of the simulation because the leading cell reaches the boundary of the substrate. (B) Displacement (m) of single cells over time. Each colored tracing represents the displacement of a single cell in the explant, defined as the distance traveled from the cell's initial position in the simulation space

Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior-6

<p><b>Copyright information:</b></p><p>Taken from "Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior"</p><p>http://www.biomedcentral.com/1752-0509/1/46</p><p>BMC Systems Biology 2007;1():46-46.</p><p>Published online 22 Oct 2007</p><p>PMCID:PMC2190763.</p><p></p>ttom right), and nine sub-cellular agents (blue) comprise a single simulated mesendodermal cell (bottom left). (Top Right) Sliders, buttons, and graphical outputs where the user can adjust parameter levels and quantitatively monitor emergent behavior, such as the Fn concentration and accumulation of polarity signals in space and time

Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior-4

<p><b>Copyright information:</b></p><p>Taken from "Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior"</p><p>http://www.biomedcentral.com/1752-0509/1/46</p><p>BMC Systems Biology 2007;1():46-46.</p><p>Published online 22 Oct 2007</p><p>PMCID:PMC2190763.</p><p></p>lab. Matlab imports the text file containing Fn concentrations, and the intracellular model calculates the amount of β-catenin signaling in each cell. These levels are input into the multi-cell model, and impact the extent of cadherin activation in each cell

Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior-1

<p><b>Copyright information:</b></p><p>Taken from "Multiscale computational analysis of morphogenesis reveals key insights of systems-level behavior"</p><p>http://www.biomedcentral.com/1752-0509/1/46</p><p>BMC Systems Biology 2007;1():46-46.</p><p>Published online 22 Oct 2007</p><p>PMCID:PMC2190763.</p><p></p>ion of the Fn matrix is visible in the darker pixels left behind as they move forward. Global thinning of the explant in the lateral direction (left to right) and lengthening in the longitudinal direction (top to bottom) is also evident