Team:UC Davis/Projects

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var pHContent = "<br/><p class='header'>THE PROBLEM</p>Cellular machines are not isolated systems.  They have an intimate relationship with their surroundings and must change with varying environmental conditions.  To do this, they rely on sensory machinery to trigger internal responses based on external stimuli such as light, chemical concentrations, etc.  Sensors have been engineered for the E. coli chassis but one stimulus has been neglected: pH.<br/><br/>  Cells thrive in a limited pH range; the optimal range for E. coli being 6-7.  If the pH is much different than this, the cell must take action to survive.  This needs to be taken into account when designing cellular machines which are reactive to pH changes.  A pH sensitive system from another organism would help keep the engineered response independent.  This would allow the desired response to be separate from a native stress response. <br/><br/><div style='text-align:center'><img src='https://static.igem.org/mediawiki/2010/a/ac/Mes_photo.jpg'></div><br/><br/><p class='header'>APPROACH</p>";
var pHContent = "<br/><p class='header'>THE PROBLEM</p>Cellular machines are not isolated systems.  They have an intimate relationship with their surroundings and must change with varying environmental conditions.  To do this, they rely on sensory machinery to trigger internal responses based on external stimuli such as light, chemical concentrations, etc.  Sensors have been engineered for the E. coli chassis but one stimulus has been neglected: pH.<br/><br/>  Cells thrive in a limited pH range; the optimal range for E. coli being 6-7.  If the pH is much different than this, the cell must take action to survive.  This needs to be taken into account when designing cellular machines which are reactive to pH changes.  A pH sensitive system from another organism would help keep the engineered response independent.  This would allow the desired response to be separate from a native stress response. <br/><br/><div style='text-align:center'><img src='https://static.igem.org/mediawiki/2010/a/ac/Mes_photo.jpg'></div><br/><br/><p class='header'>APPROACH</p>";
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var spatialContent = "<br/><p class='header'>MOTIVATION</p>Patterns are everywhere in biology.  Some, like zebra stripes, are easy to see, while other patterns like those that appear during animal development may be more subtle.  Underneath the expression of these patterns are complex genetic networks that interpret specific cues from the environment and use this data to direct cells, or even populations of cells, to self organize and act.<br/><p class='header'>THE PROJECT</p>Given the importance of pattern generation in biology, we wanted to see if we could construct a synthetic circuit that would allow us to generate patterns in a community of inter-communicating cells in response to a simple stimuli; in our case, this stimuli would be light.";
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Revision as of 02:48, 28 September 2010

Spatial Oscillation pH Sensor Crosstalk Predictor
Spatial Oscillation
We would like to take a moment to thank all of our sponsors for their very generous donations, as we could not have done this without your help!

We would also like to thank and acknowledge:
Our Advisors
Marc Facciotti
Ilias Tagkopoulos
Technical Guidance
David Larsen
Andrew Yao
Visiting iGEMer
Jia Li of Zhejiang University (TEAM ZJU-China)
cI Promoter Screen
Drew Endy - Stanford
Thomas Schneider - NIH
Want to sponsor us? Send an email to mtfacciotti@ucdavis.edu to discuss various ways you can help! :)

Retrieved from "http://2010.igem.org/Team:UC_Davis/Projects"