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Team:Paris Bettencourt/Results
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<center> <img width="100%" src="https://static.igem.org/mediawiki/2013/3/31/PB_fig_target1.png"/></center> | <center> <img width="100%" src="https://static.igem.org/mediawiki/2013/3/31/PB_fig_target1.png"/></center> | ||
| - | <p style="font-size:13px"> MycoSIR E. coli depend on our synthetic pathway for growth. E. coli strain BL21(DE3) was deleted for cysI and transformed with the three genes of the mycoSIR pathway expressed from IPTG-inducible T7 promoters (red). Wild-type (blue), uninduced (purple) and pathway-minus (gold) strains were used as controls. Both time course growth curves (A) and final ODs (B) reveal that the complete, induced pathway is required for growth | + | <p style="font-size:13px"> <b>MycoSIR E. coli depend on our synthetic pathway for growth.</b> E. coli strain BL21(DE3) was deleted for cysI and transformed with the three genes of the mycoSIR pathway expressed from IPTG-inducible T7 promoters (red). Wild-type (blue), uninduced (purple) and pathway-minus (gold) strains were used as controls. Both time course growth curves (A) and final ODs (B) reveal that the complete, induced pathway is required for growth |
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<center><br> <img width="95%" src="https://static.igem.org/mediawiki/2013/b/bb/PB_fig_Infil.png"/></center> | <center><br> <img width="95%" src="https://static.igem.org/mediawiki/2013/b/bb/PB_fig_Infil.png"/></center> | ||
| - | <p style="font-size:13px"> TDMH expression kills mycobacteria in culture. We mixed E. coli and WT M.smegmatis in LB media. Plating assays were used to count specifically M. smegmatis after the indicated times. When TDMH-expression was fully induced, more than 98% of mycobacteria were killed after 6 hours (red line). Populations of mycobacteria alone (black line) and mycobacteria mixed with uninduced E. coli (blue line) were stable. | + | <p style="font-size:13px"> <b>TDMH expression kills mycobacteria in culture.</b> We mixed E. coli and WT M.smegmatis in LB media. Plating assays were used to count specifically M. smegmatis after the indicated times. When TDMH-expression was fully induced, more than 98% of mycobacteria were killed after 6 hours (red line). Populations of mycobacteria alone (black line) and mycobacteria mixed with uninduced E. coli (blue line) were stable. |
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<h2>Results</h2> | <h2>Results</h2> | ||
<ul> | <ul> | ||
| - | <li>Construction and characterization of phagemids coding for small RNA targeting antibiotic resistance proteins</li> | + | <li>Construction and characterization of phagemids coding for small RNA targeting antibiotic resistance proteins.</li> |
<li>Showed theoretically that fitness cost is critical for the stable propagation of a genetic element in a population.</li> | <li>Showed theoretically that fitness cost is critical for the stable propagation of a genetic element in a population.</li> | ||
| - | <li>Successful conversion of antibiotic resistant population of E. coli to a sensitive state (on two different antibiotic resistances)</li> | + | <li>Successful conversion of antibiotic resistant population of E. coli to a sensitive state (on two different antibiotic resistances).</li> |
</ul> | </ul> | ||
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<center><br> <img width="95%" src="https://static.igem.org/mediawiki/2013/4/43/PB_TH_Pdfgoodfigure.png "/></center> | <center><br> <img width="95%" src="https://static.igem.org/mediawiki/2013/4/43/PB_TH_Pdfgoodfigure.png "/></center> | ||
| - | <p style="font-size:13px">Our synthetic phage conveys antibiotic-sensitivity to an antbiotic-resistant population. The anti-Chloramphenicol phage system effectively killed 99.1% of the Chloramphenicol resistant population and the anti- Kanamycine phage effictevely killed 99,5% of the Kanamycine resistant population. | + | <p style="font-size:13px"><b>Our synthetic phage conveys antibiotic-sensitivity to an antbiotic-resistant population. </b>The anti-Chloramphenicol phage system effectively killed 99.1% of the Chloramphenicol resistant population and the anti- Kanamycine phage effictevely killed 99,5% of the Kanamycine resistant population. |
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<h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Project/Sabotage">Population Dynamics Model</a></h2> | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Project/Sabotage">Population Dynamics Model</a></h2> | ||
| - | <p>This model investigates the effects of the fitness-cost of a genetic element on it's spread in a bacterial population, based on a phagemid helper system</p> | + | <p>This model investigates the effects of the fitness-cost of a genetic element on it's spread in a bacterial population, based on a phagemid helper system.</p> |
</div> | </div> | ||
<div class="projtile"> | <div class="projtile"> | ||
| - | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Project/Target">Structural | + | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Project/Target">Structural Analysis of SirA</a></h2> |
<p>Using Swiss pdb we demonstrated the superimposed 3D structures of Mycobacterium tuberculosis SirA and Escherichia coli CysI highlighting their similarities and differences. Both proteins are important in their respective sulphite reduction pathways. We then predicted the effect of a small drug target based on SirA's structure. </p> | <p>Using Swiss pdb we demonstrated the superimposed 3D structures of Mycobacterium tuberculosis SirA and Escherichia coli CysI highlighting their similarities and differences. Both proteins are important in their respective sulphite reduction pathways. We then predicted the effect of a small drug target based on SirA's structure. </p> | ||
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<h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Human_Practice/TB_France">TB in France <img height="100%" src="https://static.igem.org/mediawiki/2013/c/cf/PB_logofrance.png"/></a></h2> | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Human_Practice/TB_France">TB in France <img height="100%" src="https://static.igem.org/mediawiki/2013/c/cf/PB_logofrance.png"/></a></h2> | ||
<p>Analysis of the social, medical and political aspects of the management of tuberculosis in France. | <p>Analysis of the social, medical and political aspects of the management of tuberculosis in France. | ||
| - | Synthetic biology may help in many ways such as treatments, drug development, diagnostic | + | Synthetic biology may help in many ways such as treatments, drug development, diagnostic. We also give advice on how to introduce it in clinics. </p> |
</div> | </div> | ||
</div> | </div> | ||
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<div class="subbox3" style="margin-right:0"> | <div class="subbox3" style="margin-right:0"> | ||
<div class="bkgr"> | <div class="bkgr"> | ||
| - | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Human_Practice/TB_Facts">TB | + | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Human_Practice/TB_Facts">TB Facts <img height="100%" src="https://static.igem.org/mediawiki/2013/6/69/PB_logoTBfacts.png"/></a></h2> |
<p> Infographics page containing TB data and facts that captures all you need to know at a glance.</p> | <p> Infographics page containing TB data and facts that captures all you need to know at a glance.</p> | ||
</div> | </div> | ||
<div class="aims"> | <div class="aims"> | ||
| - | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Human_Practice/TB_Gallery"> TB | + | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/Human_Practice/TB_Gallery"> TB Gallery <img height="100%" src="https://static.igem.org/mediawiki/2013/d/de/PB_logoTBgallery.png"/><a/></h2> |
<p> A gallery of famous historic figures who had tuberculosis, made to raise awareness to its prevalence of in the past and present .</p> | <p> A gallery of famous historic figures who had tuberculosis, made to raise awareness to its prevalence of in the past and present .</p> | ||
</div> | </div> | ||
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<div class="overbox"> | <div class="overbox"> | ||
<div class="projtile"> | <div class="projtile"> | ||
| - | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/SensiGEM"> | + | <h2><a href="https://2013.igem.org/Team:Paris_Bettencourt/SensiGEM">SensiGEM</a></h2> |
<p>SensiGEM is the iGEM Biosensor database generated by the teams Paris Bettencourt 2013 and Calgary 2013. In this database you can find fast and easy what biosensor projects were already done by past iGEM Teams. To be able to select the projects that fit into the database, we also collaborated to compose a joint definition a biosensor. | <p>SensiGEM is the iGEM Biosensor database generated by the teams Paris Bettencourt 2013 and Calgary 2013. In this database you can find fast and easy what biosensor projects were already done by past iGEM Teams. To be able to select the projects that fit into the database, we also collaborated to compose a joint definition a biosensor. | ||
</p> | </p> | ||
Revision as of 19:51, 28 October 2013
Detect
Background
CRISPR/Cas systems generate site-specific double strand breaks and have recently been used for genome editing.
Aims
Building a genotype sensor based on CRISPR/Cas that reports existance of an antibiotic resistance gene.
Results
- Successfully cloned gRNA anti-KAN, crRNA anti-KAN, tracrRNA-Cas9 and pRecA-LacZ into Biobrick backbones and therefore generated four new BioBricks.
- Confirmation of site-specific binding and DNA double-strand breaks generated by the gRNA-Cas9 complex in the kanamycin resistance casette.
- Testing the new assembly standard for our cloning.
CRISPR anti-Kan plasmids target kanamycin resistant E. coli. WT (blue) and a kanamycin resistant strain (KanR, red) were co-transformed with a plasmid carrying the Cas9 construct, and a second plasmid carrying the anti-Kanamycin gRNA. WT was successfully transformed with one or both plasmids. KanR E. coli couldn’t be tranformed with both plasmids because of Cas9-induced cleavage of the chromosome specifically at the KanR cassette, with about 99% efficiency.
Target
Background
SirA is an essential gene in latent tuberculosis infections.
Aims
To perform a drug screen targeted at the sirA gene from mycobacteria.
Results
- Produced an E. coli strain which relies upon mycobacterial sirA, fprA and fdxA genes to survive in M9 minimal media
- Demonstrated that E. coli can survive with mycobacterial sulfite reduction pathway with Flux Balance Analysis
- Located drug target sites on sirA as well as identified high structural similarity between cysI and sirA through structural anaylsis
MycoSIR E. coli depend on our synthetic pathway for growth. E. coli strain BL21(DE3) was deleted for cysI and transformed with the three genes of the mycoSIR pathway expressed from IPTG-inducible T7 promoters (red). Wild-type (blue), uninduced (purple) and pathway-minus (gold) strains were used as controls. Both time course growth curves (A) and final ODs (B) reveal that the complete, induced pathway is required for growth
Infiltrate
Background
Latent tuberculosis persists inside macrophages of the lungs, where it is partially protected from both the host immune system and conventional antibiotics.
Aims
To create an E. coli strain capable of entering the macrophage cytosol and delivering a lytic enzyme to kill mycobacteria.
Results
- We expressed the enzyme Trehalose Dimycolate Hydrolase (TDMH) in E.coli and showed that it is highly toxic to mycobacteria in culture.
- We expressed the lysteriolyin O (LLO) gene in E. coli and showed that it is capable of entering the macrophage cytosol.
- We co-infected macrophages with both mycobacteria and our engineered E. coli to characterize the resulting phagocytosis and killing.
TDMH expression kills mycobacteria in culture. We mixed E. coli and WT M.smegmatis in LB media. Plating assays were used to count specifically M. smegmatis after the indicated times. When TDMH-expression was fully induced, more than 98% of mycobacteria were killed after 6 hours (red line). Populations of mycobacteria alone (black line) and mycobacteria mixed with uninduced E. coli (blue line) were stable.
Sabotage
Background
One of the main concerns about tuberculosis today is the emergence of antibiotic resistant strains.
Aims
Our objective is to make an antibiotic-resistant bacterial population sensitive again to the selfsame antibiotics.
Results
- Construction and characterization of phagemids coding for small RNA targeting antibiotic resistance proteins.
- Showed theoretically that fitness cost is critical for the stable propagation of a genetic element in a population.
- Successful conversion of antibiotic resistant population of E. coli to a sensitive state (on two different antibiotic resistances).
Our synthetic phage conveys antibiotic-sensitivity to an antbiotic-resistant population. The anti-Chloramphenicol phage system effectively killed 99.1% of the Chloramphenicol resistant population and the anti- Kanamycine phage effictevely killed 99,5% of the Kanamycine resistant population.
Modelling
Population Dynamics Model
This model investigates the effects of the fitness-cost of a genetic element on it's spread in a bacterial population, based on a phagemid helper system.
Structural Analysis of SirA
Using Swiss pdb we demonstrated the superimposed 3D structures of Mycobacterium tuberculosis SirA and Escherichia coli CysI highlighting their similarities and differences. Both proteins are important in their respective sulphite reduction pathways. We then predicted the effect of a small drug target based on SirA's structure.
Flux Balance Analysis
We used an E. coli model iJR904 obtained from BiGG database as a starting model and obtained a growth rate represented by the f value of 0.9129. We then deleted the reaction ‘SULR’ which encodes for the sulphite reduction pathway involving cysI and obtained a f value of -8.63596783409936e-13 indicating that the sulphite reduction pathway is required for growth.
Human Practice
Technology Transfer 
An essay that addresses the issue of designing a technology aimed at "developing" countries, rather than at “developed” ones: a typical case of technology transfer.
TB in France 
Analysis of the social, medical and political aspects of the management of tuberculosis in France. Synthetic biology may help in many ways such as treatments, drug development, diagnostic. We also give advice on how to introduce it in clinics.
Gender Study 
A comprehensive and quantitative study of gender equality(equality) in iGEM and synthetic biology. A database was gathered to depict sex ratio in teams' students and supervisors in all iGEM teams as well as other available information. This was statistically analysed to investigate gender in(equality) in iGEM, as well as SB conferences and synthetic biology labs.
TB Facts 
Infographics page containing TB data and facts that captures all you need to know at a glance.
TB Gallery 
A gallery of famous historic figures who had tuberculosis, made to raise awareness to its prevalence of in the past and present .
Collaboration
SensiGEM
SensiGEM is the iGEM Biosensor database generated by the teams Paris Bettencourt 2013 and Calgary 2013. In this database you can find fast and easy what biosensor projects were already done by past iGEM Teams. To be able to select the projects that fit into the database, we also collaborated to compose a joint definition a biosensor.
BGU iGEM Team from Israel
A mutual part characterization. We characterize the promoter units produced by the lac/ara-1 promoter of cI, a repressor of their constructed kill switch. In return, BGU characterizes our TDMH biobrick protein expression levels by Western Blot.
Braunschweig iGEM Team
Idea, bibliography, and beer sharing!
