Difference between revisions of "Team:ETH Zurich/Model"
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<p>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.</p> | <p>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.</p> | ||
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<img style="{maxwidth:800px;}" src="https://static.igem.org/mediawiki/2017/2/2f/T--ETH_Zurich--overview_model.png" | <img style="{maxwidth:800px;}" src="https://static.igem.org/mediawiki/2017/2/2f/T--ETH_Zurich--overview_model.png" | ||
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<area shape="rect" coords="719,97,1471,355" href="https://2017.igem.org/Team:ETH_Zurich/Model/Environment_Sensing/system_specifications" alt="sys_specs"> | <area shape="rect" coords="719,97,1471,355" href="https://2017.igem.org/Team:ETH_Zurich/Model/Environment_Sensing/system_specifications" alt="sys_specs"> | ||
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Revision as of 16:10, 1 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.
As a result, we have been able to give the wet lab initial and follow-up design guidelines to get our bacteria better at targeting tumor specifically, and exhibit a reasonable response time for triggering the release of azurin.
