Difference between revisions of "Team:UCSF/Modeling"
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− | <p id="About" class="content2" style="color:#368E8C; text-align:right; width= | + | <p id="About" class="content2" style="color:#368E8C; text-align:right; width=300px;">Our project this year is centered around the emergence of distinct community phenotypes when individuals in a population are allowed to communicate. Cells in a local population are able to coordinate decisions with other cells in their community through the secretion and reception of chemical signals. Through diffusion and degradation, concentration gradients of the signaling molecule are formed in the extracellular space, providing varying levels of information to neighboring cells in the community. |
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Revision as of 20:28, 18 September 2015
MODEL CIRCUIT
Our project this year is centered around the emergence of distinct community phenotypes when individuals in a population are allowed to communicate. Cells in a local population are able to coordinate decisions with other cells in their community through the secretion and reception of chemical signals. Through diffusion and degradation, concentration gradients of the signaling molecule are formed in the extracellular space, providing varying levels of information to neighboring cells in the community. Focusing on the community phenotype of bimodal activation, our model aims to mathematically estimate distinct states of multiple cells in the population in different immediate extracellular environments.
DIFFERENTIAL EQUATIONS
We still need to display our equations that characterize our system.
TUNING COMMUNICATION PARAMETERS
We still need to display our equations that characterize our system.
IMPLEMENTATION
We still need to write that here.