Team:Uppsala University/Translational

From 2012.igem.org

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<td class="subtext"><h2>Results for the experiment - Silencing the Resistance Gene AAC(6')</h2></td>
<td class="subtext"><h2>Results for the experiment - Silencing the Resistance Gene AAC(6')</h2></td>
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<b>Silencing Truncated AAC(6') by use of fluorescent reporter</b><br>
<b>Silencing Truncated AAC(6') by use of fluorescent reporter</b><br>
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<a href="https://static.igem.org/mediawiki/2012/d/db/Graph_downregulation_data_low.png"><img src="https://static.igem.org/mediawiki/2012/d/db/Graph_downregulation_data_low.png" width="300"></a>
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Measurements were made on isolated clones expressing engineered artificial sRNA together with the antibiotic resistance gene fused with a fluorescent marker, Super Yellow Fluorescent Protein (SYFP2). This showed that the artificial sRNA downregulated the fluorescence. The loss of fluorescent indicates that the engineered sRNA inhibits the expression the target mRNA, compared to the control without the sRNA. The control for normal SYFP2 fluorescence was the native unmodified spot42 in the otherwise identical vector, transformed into a cell with the reporter.</p><br><br>
Measurements were made on isolated clones expressing engineered artificial sRNA together with the antibiotic resistance gene fused with a fluorescent marker, Super Yellow Fluorescent Protein (SYFP2). This showed that the artificial sRNA downregulated the fluorescence. The loss of fluorescent indicates that the engineered sRNA inhibits the expression the target mRNA, compared to the control without the sRNA. The control for normal SYFP2 fluorescence was the native unmodified spot42 in the otherwise identical vector, transformed into a cell with the reporter.</p><br><br>
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<a href="https://static.igem.org/mediawiki/2012/d/db/Graph_downregulation_data_low.png"><img src="https://static.igem.org/mediawiki/2012/d/db/Graph_downregulation_data_low.png" height="300"></a>
 
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IntaRNA, an RNA-RNA-interaction prediction software adapted for sRNA and ncRNA interactions [1] was used to predict the sRNA-mRNA interactions of the candidate sRNAs against the target mRNA containing the fusion between AAC(6’)-5’UTR. See <a href="https://2012.igem.org/Team:Uppsala_University/Modelling">modelling page</a> for details. Some of the sRNAs corresponding to the highest SYFP2 downregulation showed a significant basepair matching close to the RBS of the AAC(6’)-5’UTR. A few of the sRNAs was predicted to hybridize in the SYFP2 region of the mRNA.</p><br><br>
IntaRNA, an RNA-RNA-interaction prediction software adapted for sRNA and ncRNA interactions [1] was used to predict the sRNA-mRNA interactions of the candidate sRNAs against the target mRNA containing the fusion between AAC(6’)-5’UTR. See <a href="https://2012.igem.org/Team:Uppsala_University/Modelling">modelling page</a> for details. Some of the sRNAs corresponding to the highest SYFP2 downregulation showed a significant basepair matching close to the RBS of the AAC(6’)-5’UTR. A few of the sRNAs was predicted to hybridize in the SYFP2 region of the mRNA.</p><br><br>
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<a href="https://static.igem.org/mediawiki/2012/7/7f/Etest_assembled_data_graph_260912_medium.png"><img src="https://static.igem.org/mediawiki/2012/7/7f/Etest_assembled_data_graph_260912_medium.png" width="300"></a>
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The E-test with a minimal F-plasmid containing the AAC(6’) in translational fusion with the sRNA clones. A down regulation from MIC>256µl/ml to MIC=53±9µl was the largest measured. Measurement of clone 17,37,55  are all triplicates
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Below are predicted interactions between our sRNA and the AAC(6’)-5’UTR</p>
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Below are predicted interactions between our sRNA and the AAC(6’)-5’UTR
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Antibiotic resistance downregulation
Antibiotic resistance downregulation
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The next proof of concept was to test if the isolated sRNA also showed downregulation of the actual antibiotic resistance gene. The graphs below from the Etests [] show that the antibiotic resistance gene was repressed. This supports the hypothesis that it is the actual 5’UTR that is the key to control the the expression of the gene with sRNA.</p><br><br>
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The next proof of concept was to test if the isolated sRNA also showed downregulation of the actual antibiotic resistance gene. The graphs below from the Etests [] show that the antibiotic resistance gene was repressed. This supports the hypothesis that it is the actual 5’UTR that is the key to control the the expression of the gene with sRNA.</p><br>
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<a href="https://static.igem.org/mediawiki/2012/7/7f/Etest_assembled_data_graph_260912_medium.png"><img src="https://static.igem.org/mediawiki/2012/7/7f/Etest_assembled_data_graph_260912_medium.png" height="300"></a>
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To better understand the nature of small RNA downregulation and inhibiting translation, we also made some more in detail modelling of the interactions between sRNA and mRNA. <a href="https://2012.igem.org/Team:Uppsala_University/Modelling">(link)</a>
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<p>Bildtext:The Etest with a minimal F-plasmid containing the AAC(6’) in translational fusion with the sRNA clones. A down regulation from MIC>256µl/ml to MIC=53±9µl was the largest measured. Measurement of clone 17,37,55  are all triplicates</p><br><br>
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<p>To better understand the nature of small RNA downregulation and inhibiting translation, we also made some more in detail modelling of the interactions between sRNA and mRNA. (link)
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<a href="https://2012.igem.org/Team:Uppsala_University/Modelling">
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Revision as of 02:17, 27 September 2012

Team Uppsala University – iGEM 2012


Results for the experiment - Silencing the Resistance Gene AAC(6')

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Conclusion
We managed to engineer artificial small RNA (sRNA) inhibiting the translation of the antibiotic resistance gene AAC(6’)Ib-cr isolated from a multiresistant bacterial outbreak in a hospital in Sweden. In the process, we managed to demonstrate a standardized method for construction and screening for sRNA successfully against a target mRNA. In practice, sRNA induced silencing of any gene of interest.

BBa_K864444 is our template target part in which the gene of interest should be inserted.

For detailed experimental approach see the project description page.



Silencing Truncated AAC(6') by use of fluorescent reporter

Measurements were made on isolated clones expressing engineered artificial sRNA together with the antibiotic resistance gene fused with a fluorescent marker, Super Yellow Fluorescent Protein (SYFP2). This showed that the artificial sRNA downregulated the fluorescence. The loss of fluorescent indicates that the engineered sRNA inhibits the expression the target mRNA, compared to the control without the sRNA. The control for normal SYFP2 fluorescence was the native unmodified spot42 in the otherwise identical vector, transformed into a cell with the reporter.



A critical issue was to determine whether out sRNA actually matched the AAC(6’)-5’UTR, or if the downregulation of fluorescence was due to a direct inhibition interacting with the SYFP2 coding region. The isolated clones were sequenced and analyzed and determine where there sRNA binds on the mRNA.



Validation of sRNA-mRNA interactions

IntaRNA, an RNA-RNA-interaction prediction software adapted for sRNA and ncRNA interactions [1] was used to predict the sRNA-mRNA interactions of the candidate sRNAs against the target mRNA containing the fusion between AAC(6’)-5’UTR. See modelling page for details. Some of the sRNAs corresponding to the highest SYFP2 downregulation showed a significant basepair matching close to the RBS of the AAC(6’)-5’UTR. A few of the sRNAs was predicted to hybridize in the SYFP2 region of the mRNA.




The E-test with a minimal F-plasmid containing the AAC(6’) in translational fusion with the sRNA clones. A down regulation from MIC>256µl/ml to MIC=53±9µl was the largest measured. Measurement of clone 17,37,55 are all triplicates

Below are predicted interactions between our sRNA and the AAC(6’)-5’UTR

Antibiotic resistance downregulation The next proof of concept was to test if the isolated sRNA also showed downregulation of the actual antibiotic resistance gene. The graphs below from the Etests [] show that the antibiotic resistance gene was repressed. This supports the hypothesis that it is the actual 5’UTR that is the key to control the the expression of the gene with sRNA.


To better understand the nature of small RNA downregulation and inhibiting translation, we also made some more in detail modelling of the interactions between sRNA and mRNA. (link)

Future perspectives The next step is to test it in a clinical strain coming from the outbreak of mutliresistent bacteria from the hospital in Sweden. Our goal is to show the world that there are means of controling antibiotic resistance in a different manner. One way is to use our smallRNA in gene therapy, for example using a phage or conjugative plasmid system. Read more about it on our delivery systems page.(link)

Mechanism of downregulation

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Mechanism_of_downregulation


The general system for downregulation is illustrated above.
Stabilizing scaffold
In order to retain transcribed sRNA in E.coli and avoid degradation of the sRNA, a stabilizing scaffold can be linked to the domain which is hypothesized to interact with the domain of interest.
Hfq Protein
The Hfq Protein is a natively expressed protein which interacts with the scaffold. A deletion study of the Hfq protein resulted in total loss of regulation for many sRNAs [2].

References

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[1] Sharma, V., Yamamura, A., Yokobayashi, Y., 2012. Engineering Artificial Small RNAs for Conditional Gene Silencing in Escherichia coli. ACS Synth. Biol. 1, 6–13.
[2] Holmqvist, E., Unoson, C., Reimegård, J., Wagner, E.G.H., 2012. A mixed double negative feedback loop between the sRNA MicF and the global regulator Lrp. Molecular Microbiology 84, 414–427.


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