Difference between revisions of "Team:Grenoble-Alpes/biology"

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<p>This year, iGEM Grenoble-Alpes worked on the creation of a fully automated system capable of detecting pathogenic bacteria. This diagram below represents all the work that was done prior to the system design. </p><p>First of all, we had to choose which pathogenic bacteria we wanted to detect. This choice had to be coherent with the problematic approached. Actually, antibiotic resistance is a growing major concern and Pseudomonas aeruginosa is one of the most problematic bacterium nowadays.  
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</p><p>After the bacteria choice, the next question was: What do we want to detect? So a target selection work using bioinformatics was made.  
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<p> Bacteriophages are viruses that kill specifically - and with a relative efficiency - strains from a bacterial species. They are thus a viable alternative to antibiotics that our fully automated device aims to promote.
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</p><p>Finally, the last step was the probe design leading to the probe construction. All these steps will be described in more details later.
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</p><p> Our project is designed to: identify a pathogenic bacterium; detect if this bacterium presents an antibiotic resistance marker; select the most effective phages for a therapy. As a proof of concept, we targeted Pseudomonas aeruginosa, a bacteria causing opportunistic lung infections in immunosuppressed patient.
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</p><p>In parallel to the detection probes, we thought about the component conservation in the system. To do so, conservation and freeze-dry tests were realized on the DNA, enzymes and the bacteria in the system.
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</p><p> We created DNA probes targeting a housekeeping gene and an antibiotic marker of PAO1. In parallel, we automated the different processes required for detection with DNA probes: from the DNA extraction after lysis to a fluorescence measurement via a bacterial transformation. </p><p> Hence, untrained healthcare professionals will eventually be able to take a sample from a patient, run it through our system, wait for a few hours and get information to decide of a therapy.</p>
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</p><p>All these points are essential for the efficiency of the detection system.
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Revision as of 23:16, 4 October 2018

Template loop detected: Template:Grenoble-Alpes

BIOLOGY

This year, iGEM Grenoble-Alpes worked on the creation of a fully automated system capable of detecting pathogenic bacteria. This diagram below represents all the work that was done prior to the system design.

First of all, we had to choose which pathogenic bacteria we wanted to detect. This choice had to be coherent with the problematic approached. Actually, antibiotic resistance is a growing major concern and Pseudomonas aeruginosa is one of the most problematic bacterium nowadays.

After the bacteria choice, the next question was: What do we want to detect? So a target selection work using bioinformatics was made.

Finally, the last step was the probe design leading to the probe construction. All these steps will be described in more details later.

In parallel to the detection probes, we thought about the component conservation in the system. To do so, conservation and freeze-dry tests were realized on the DNA, enzymes and the bacteria in the system.

All these points are essential for the efficiency of the detection system.