Difference between revisions of "Team:Berlin diagnostX/Results"

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<h4 class="text-justify">We tested a first series of sensors that were designed by first predicting the secondary structure of possible sensors and then selecting sensors with a low normalized ensemble defect. A low normalized ensemble defect indicated that a potential sensor spontaneously forms a secondary structure that is similar to the secondary structure of a toehold switch. This design principle led to sensors that did not leak, but that neither reacted upon adding trigger RNA:</h4>
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<h4 class="text-justify">We tested a first series of sensors that were designed by predicting the secondary structure of possible sensors and then selecting sensors with a low normalized ensemble defect. A low normalized ensemble defect indicates that a potential sensor spontaneously forms a secondary structure that is similar to the secondary structure of a toehold switch. This design principle led to sensors that did not show unspecific reaction, but that neither reacted upon adding trigger RNA. Trigger RNA was the only published RNA-Sequence of <i>T. solium</i>: <b>TSO_31</b></h4>
 
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<h4 class="text-justify">In the next series of sensors tested, we replaced the selection based on the normalized ensemble defect with the score calculation mentioned in the design section. This led to a significant improvement of the sensor opening. At the same time, sensors showed a quite high degree of leakiness.</h4>
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<h4 class="text-justify">In the next series of sensors tested, we replaced the selection based on the normalized ensemble defect with the score calculation mentioned in the design section. This led to a significant improvement of the sensor opening. At the same time, sensors showed a quite high degree of unspecific reactions.</h4>
 
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<h4 class="text-justify">Analysis with more replicates confirmed the good performance of our two sensor candidates. Colour change was not only visible in measurements using the GloMax, but also with the naked eye</h4>
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<p class="text-justify"><b>Fig. 1:</b> Agarose gel of the first nested PCR attempt with the nested template and two toehold primers. PCR products 1 and 3 show the expected length, while lane 2 and 4 show, as anticipated, the failure of the negative controls. <b>1</b>-nested PCR of switch 898 <b>2</b>-negative control of switch 898 (without P1) <b>3</b>-nested PCR of switch 16 <b>4</b>-negative control of switch 16 (without P1)
 
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<p class="text-justify"><b>Fig. 1:</b> Agarose gel of the first nested PCR attempt with the nested template and two toehold primers. PCR products 1 and 3 show the expected length, while lane 2 and 4 show, as anticipated, the failure of the negative controls. <b>1</b>-nested PCR of switch 898 <b>2</b>-negative control of switch 898 (without P1) <b>3</b>-nested PCR of switch 16 <b>4</b>-negative control of switch 16 (without P1)
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        <div class="col-12"><h3 class="text-center igem_blue mb-3">Preliminary Data (Bioinformatics)</h3></div>
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        <a href="https://2017.igem.org/Team:Berlin_diagnostX/Test" target="popup" onclick="window.open('https://2017.igem.org/Team:Berlin_diagnostX/Test','popup','width=600,height=600'); return false;"><img class="img-fluid" src="https://static.igem.org/mediawiki/2017/0/0c/T--Berlin_diagnostX--target.png"></a>
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            <p class="text-justify">We started the project knowing that there is only one potential target RNA published from T. solium. For this reason one of our main goals was to shed light into the transcriptome of T. solium with a special focus on T. solium eggs, which are excreted with stool and easily accessible for diagnosis. 
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We reached this goal by obtaining raw RNAseq data of the whole worm from GEO database (GSM2227058) and mapped it against a published genome of T. solium (PRJNA170813). We identified 215 potential targets for sensor development by mapping the transcripts against tapeworms that our test should not detect (like T.asiatica and T.saginata)</p>
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      <p class="text-justify">>> Click on the picture to discover our targets on an interactive map!
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Despite this first success we continued our efforts describe the transcriptome of eggs from T. solium for the first time, since RNA expression in eggs may differ from the whole organism. We reached this goal by building transcontinental research collaborations to India.</p>
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<p class="text-justify">>> Learn how we became to our knowledge the first group to describe the transcriptome of T. solium eggs</p>
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Revision as of 02:27, 2 November 2017

Results



Throughout our research project we developed Standard Operating Procedures, that are presented in the protocols section and an in silico sensor design algorithm that is described in the design section. These process innovations led to the subsequent optimization of a well performing sensor for Taenia Solium:



In the first series of screenings we reproduced published data of sensor 27B from the 2016 Pardee et al paper describing a toehold switch for Zika Virus:





We tested a first series of sensors that were designed by predicting the secondary structure of possible sensors and then selecting sensors with a low normalized ensemble defect. A low normalized ensemble defect indicates that a potential sensor spontaneously forms a secondary structure that is similar to the secondary structure of a toehold switch. This design principle led to sensors that did not show unspecific reaction, but that neither reacted upon adding trigger RNA. Trigger RNA was the only published RNA-Sequence of T. solium: TSO_31





In the next series of sensors tested, we replaced the selection based on the normalized ensemble defect with the score calculation mentioned in the design section. This led to a significant improvement of the sensor opening. At the same time, sensors showed a quite high degree of unspecific reactions.





Upon identifying a new, unique and highly expressed RNA molecule in the transcriptome of Taenia Solium, we created a new series of sensors aiming at this new target without changing the design algorithm. This approach led to two promising sensor candidates that were further analyzed:




Nested PCR

Fig. 1: Agarose gel of the first nested PCR attempt with the nested template and two toehold primers. PCR products 1 and 3 show the expected length, while lane 2 and 4 show, as anticipated, the failure of the negative controls. 1-nested PCR of switch 898 2-negative control of switch 898 (without P1) 3-nested PCR of switch 16 4-negative control of switch 16 (without P1)

Preliminary Data (Bioinformatics)

We started the project knowing that there is only one potential target RNA published from T. solium. For this reason one of our main goals was to shed light into the transcriptome of T. solium with a special focus on T. solium eggs, which are excreted with stool and easily accessible for diagnosis. We reached this goal by obtaining raw RNAseq data of the whole worm from GEO database (GSM2227058) and mapped it against a published genome of T. solium (PRJNA170813). We identified 215 potential targets for sensor development by mapping the transcripts against tapeworms that our test should not detect (like T.asiatica and T.saginata)

>> Click on the picture to discover our targets on an interactive map! Despite this first success we continued our efforts describe the transcriptome of eggs from T. solium for the first time, since RNA expression in eggs may differ from the whole organism. We reached this goal by building transcontinental research collaborations to India.

>> Learn how we became to our knowledge the first group to describe the transcriptome of T. solium eggs