Difference between revisions of "Team:Mingdao/Collaborations"

 
Line 223: Line 223:
 
border-color: #000000;
 
border-color: #000000;
 
background-color: #E9D9C7;
 
background-color: #E9D9C7;
background-color: rgba(198, 156, 109, 0.38);
+
background-color: rgba(0,0,0,0);
 
position: relative;
 
position: relative;
-pie-background: rgba(198, 156, 109, 0.38);
+
-pie-background: rgba(0,0,0,0);
 
}
 
}
  
Line 1,760: Line 1,760:
 
     <div class="clearfix grpelem" id="u100"><!-- group -->
 
     <div class="clearfix grpelem" id="u100"><!-- group -->
 
       <div class="clip_frame grpelem" id="u8651"><!-- image -->
 
       <div class="clip_frame grpelem" id="u8651"><!-- image -->
       <img class="block" id="u8651_img" src="https://static.igem.org/mediawiki/2015/7/73/Mingdao-alllogo.png" alt="" width="317" height="249"/>
+
       <object type="application/x-shockwave-flash" height=300 width=400 data="https://static.igem.org/mediawiki/2015/6/6b/Mingdao-alllogo.swf" style="position:relative; left:-60px; top:-20px;">
 +
<param name="movie" value="https://static.igem.org/mediawiki/2015/6/6b/Mingdao-alllogo.swf" />
 +
<param name="quality" value="high" />
 +
<param name="" value="Exactfit"/>
 +
<param name="wmode" value="transparent">
 +
</object>
 
       </div>
 
       </div>
 
     </div>
 
     </div>

Latest revision as of 04:01, 18 September 2015

Collaboration

Collaboration
Data mining

*

*

After understanding of protein composition required for fire retardant effectiveness, we would like to find a novel protein candiate with fire retardant properties. We decided to use protein data mining approach in bioinformatics for our purpose.

 

We contacted and asked iGEM team, NCTU-Formosa for collaboration with data mining and programming. Chao-Di Chang, who is an advisor of team NCTU-Formosa in 2014, taught us a lot in the field of bioinformatics and protein databases such as NCBI, UniProtKB and dbPTM. The super advisor, Prof. Wen-Liang Chen gave us many great advices and shared experiences in the previous iGEM projects and Jamboree.

 

This year, the members of NCTU-Formosa helped us finding out the fire retardant target in the protein data bank. And Yi-Ru Liu of team Mingdao wrote a programming code (see here) and NCTU-Formosa gave us a lot of comments on the code. With the thanks of NCTU-Formosa, we found the ideal target with high serine and arginine contents in protein composition from Uniprot database (see the result).

Code data for data mining of fire retardant protein
BioBrick parts validation

*

*

We’ve created BioBricks of SR/pSB1C3 (BBa_K1608000), SRPK/pSB1C3 (BBa_K1608001) and cloned the genes to the commercial expression vectors, i.e., SR/pGEX-2T and SRPK/pET-29b.

In order to test the expression system, we request some BioBricks carrying the genes (amajLime, BBa_K1033915; asPink, BBa_K1033933; eforRed, BBa_K592012 tsPurple, BBa_K1033905) of chromoproteins from iGEM Team Uppsala. The work was done in 2012.

We transferred the parts to pGEX-2T followed by transforming E. coli BL21. Color proteins seen by naked eyes are the indicator of success of protein induction and expression system. In addition to validation of BioBricks created previously, it also can be used to optimize the condition of protein induction system.

 

The experiment procedure was described briefly as follows:

↓ Culture E. coli BL21 O/N, which carry indicated BioBricks from the stocks at -80°C.

 ↓ Dilute 100X in the fresh media (LB with 100 ug/ml Ampicillin) for 2 hr

↓ Till OD600 = 06~1.0, 1mM IPTG was added and incubate for 4~5 hr at 37°C

↓ Transfer 1 ml of bacteria and centrifuge for 1.5 min

↓ Observe color expression

The expression of color genes after IPTG induction in pGEX-2T system. Left to right: amajLime (BBa_K1033915), asPink (BBa_K1033933), eforRed ( BBa_K592012), tsPurple (BBa_K1033905), BL21 (pGEX-2T empty vector)