Difference between revisions of "Team:ETH Zurich/Model"
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<h1>Model Map</h1> | <h1>Model Map</h1> | ||
<p>Our project relied heavily on estimating the environment in which CATE operates, as well as the changes that it brings about after colonizing a tumor shell. The Model Map below is a rough outline of our efforts; click on it to explore our modelling in more detail!</p> | <p>Our project relied heavily on estimating the environment in which CATE operates, as well as the changes that it brings about after colonizing a tumor shell. The Model Map below is a rough outline of our efforts; click on it to explore our modelling in more detail!</p> | ||
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<img alt="Model_Overview" src="https://static.igem.org/mediawiki/2017/2/2f/T--ETH_Zurich--overview_model.png" style="width: 1000px;" usemap="#Map"/> | <img alt="Model_Overview" src="https://static.igem.org/mediawiki/2017/2/2f/T--ETH_Zurich--overview_model.png" style="width: 1000px;" usemap="#Map"/> | ||
<map name="Map" id="Map"> | <map name="Map" id="Map"> | ||
Revision as of 00:29, 2 November 2017
Modeling
When building a bacterial system meant to function in a more complex setting than in bulk in a test tube, modeling what would its behavior be in real conditions is key to aim for a credible development. Because the experimental conditions that were available to us to develop our system (in vitro experiments) were quite far from the actual situation (in vivo tumor colonization), a significant amount of work on the modeling was needed, particularly to implement the Tumor Sensor
With our model, we could make the link between what was happening during our in vitro experiments and what would correspondingly happen in the real case scenario in the tumor.
Model Map
Our project relied heavily on estimating the environment in which CATE operates, as well as the changes that it brings about after colonizing a tumor shell. The Model Map below is a rough outline of our efforts; click on it to explore our modelling in more detail!
A thermal diffusion model also helped us take a crucial decision about the thermal induction temperature of our Heat Sensor, validating the relevance of choosing a higher temperature to limit the leakiness of our optimized part, but still within a safe range compatible with our clinical application.
