Difference between revisions of "Team:HUST-China"
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| − | The prokaryote version of our Signal Fliter. Users can define two input signals and three kinds of | + | The prokaryote version of our Signal Fliter. Users can define two input signals and three kinds of outputs. See more details in our description page. |
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| − | <p><a href="https://2016.igem.org/Team:HUST-China/ | + | <p><a href="https://2016.igem.org/Team:HUST-China/Description" class="btn btn-primary" role="button">More details</a></p> |
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| − | Small in scale, big in thoughts! | + | Small in scale, big in thoughts! This summer, we held a fabulous HUST-Cheering! conferrence. See more details in our Human Practices page. </p> |
<p><a href="https://2016.igem.org/Team:HUST-China/Integrated_Practices" class="btn btn-primary" role="button">More details</a></p> | <p><a href="https://2016.igem.org/Team:HUST-China/Integrated_Practices" class="btn btn-primary" role="button">More details</a></p> | ||
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Revision as of 13:03, 18 October 2016
Abstract
how does it work ?
This year, we, HUST-China, design a functional gene expression toolkit. The systems we design can not only be adaptable to any input and output, but also can change its threshold to meet the requirements from different project purposes.
Normally, gene expression level depends on the input signals' intensity but it always cna't be strong enough, so it may be hard for former expression systems to deal with realistic problems.
Our toolkit can sense even pulse signal to reach its stable expression state and with validly characterized circuits, it will definitely help new iGEMers.
The prokaryote version of our Signal Fliter. Users can define two input signals and three kinds of outputs. See more details in our description page.
The eukaryote version of our Signal Fliter. Users can define two input signals and two kinds of outputs. See more details in our description page.
Small in scale, big in thoughts! This summer, we held a fabulous HUST-Cheering! conferrence. See more details in our Human Practices page.
Fluorescence intensity measurement is the main characterization method this year. We employed GFP and RFP as reporters to build valid characterization for our circuits. See more results in our Results page.
We simulated our project in cellular level and Intestinal level to help us figure out the feasibility of it and guide us the direction of further improvement.
