Team:USTC CHINA/Modeling/

From 2013.igem.org

(Difference between revisions)
Line 68: Line 68:
</div>
</div>
-
 
+
<br><br>
<div>
<div>
To ensure the expression of our T-vaccine, we do some experiments to find out the best growing condition for Bacillus subtilis WB800N, we finally choose five independent factors: temperature, inoculation time, peptone, yeast extract and NaCl. The following table displays their levels:
To ensure the expression of our T-vaccine, we do some experiments to find out the best growing condition for Bacillus subtilis WB800N, we finally choose five independent factors: temperature, inoculation time, peptone, yeast extract and NaCl. The following table displays their levels:
Line 105: Line 105:
</div>
</div>
-
 
+
<br><br>
<div>
<div>
图无法导出
图无法导出
Line 113: Line 113:
</div>
</div>
-
 
+
<br><br>
<div>
<div>
<h1>Designs of Immune Experiments</h1>
<h1>Designs of Immune Experiments</h1>
<p>Our mice experiment has primarily proven the validity of our project. However, just like most scientific immune experiments on animals, the aim of our mice experiment was verification instead of exploring the optimal conditions for the production of our vaccine. In fact, fewer optimization experiments have been done by pure scientific researches, as most scientists care about facts and theories only, whereas exploring the optimal conditions is often viewed as the task of pharmaceutical factories. Yet since igem itself frequently involves industrial fields, which make igem seems like more an engineering competition than a science competition sometimes. </p>
<p>Our mice experiment has primarily proven the validity of our project. However, just like most scientific immune experiments on animals, the aim of our mice experiment was verification instead of exploring the optimal conditions for the production of our vaccine. In fact, fewer optimization experiments have been done by pure scientific researches, as most scientists care about facts and theories only, whereas exploring the optimal conditions is often viewed as the task of pharmaceutical factories. Yet since igem itself frequently involves industrial fields, which make igem seems like more an engineering competition than a science competition sometimes. </p>
-
<br>
 
<a href="https://2013.igem.org/Team:USTC_CHINA/Modeling/DesignsofImmuneExperiments">read more about Designs of Immune Experiments</a>
<a href="https://2013.igem.org/Team:USTC_CHINA/Modeling/DesignsofImmuneExperiments">read more about Designs of Immune Experiments</a>
</div>
</div>

Revision as of 09:27, 27 September 2013

Modeling on the suicide mechanism of the reporter system

To eliminate potential safety problem, we constructed a suicide system on engineered bacteria to ensure biosafety. As the only one loaded with kill switch, the engineered reporter bacteria is responsible for eliminating all siblings in T-vaccine. Killing is mediated by the exported toxic protein SdpC. Extracellular SdpC induces the synthesis of an immunity protein, SdpI, which protects toxin-producing cells from being killed. SdpI, a polytopic membrane protein, is encoded by a two-gene operon under sporulation control that contains the gene for an autorepressor, SdpR.

read more about Kill Switch

The best growing condition for Bacillus subtilis WB800N



To ensure the expression of our T-vaccine, we do some experiments to find out the best growing condition for Bacillus subtilis WB800N, we finally choose five independent factors: temperature, inoculation time, peptone, yeast extract and NaCl. The following table displays their levels:
Factor Low High
Temperature 25℃ 35℃
Time 12h 24h
Peptone 5 15
Yeast Extract 2.5 7.5
NaCl 5 15


图无法导出 Roughly, we could consider the treatment of No. 15 medium (Temperature 35℃, Time 12h, Peptone 15, Yeast Extract 7.5, NaCl 15)as the maximal condition for Bacillus subtilis.
read more about B.Subtilis Culture


Designs of Immune Experiments

Our mice experiment has primarily proven the validity of our project. However, just like most scientific immune experiments on animals, the aim of our mice experiment was verification instead of exploring the optimal conditions for the production of our vaccine. In fact, fewer optimization experiments have been done by pure scientific researches, as most scientists care about facts and theories only, whereas exploring the optimal conditions is often viewed as the task of pharmaceutical factories. Yet since igem itself frequently involves industrial fields, which make igem seems like more an engineering competition than a science competition sometimes.

read more about Designs of Immune Experiments
Modeling

Retrieved from "http://2013.igem.org/Team:USTC_CHINA/Modeling/"