Team:EPF-Lausanne/Our Project/T7 promoter variants

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This is a direct and practical way of solving the problem of selecting high affinity pairs among the millions of possible combinations of transcription factors and promoters.
This is a direct and practical way of solving the problem of selecting high affinity pairs among the millions of possible combinations of transcription factors and promoters.
It can be seen as a form of DNA-based information processing, and is therefore also a neat example of a problem more efficiently solved by non-conventional computation.
It can be seen as a form of DNA-based information processing, and is therefore also a neat example of a problem more efficiently solved by non-conventional computation.
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To stretch from the proof-of-principle to the tried-and-true: therein lies our goal. We began with a simple experiment to check that a lysis cassette in a plasmid could lyse with greater efficiency as a function of IPTG concentration (Lysis Characterization section). The next step towards our goal was to demonstrate that plasmid DNA of any kind could be adequately recovered and repackaged (PCR amplified, transformed into a different strain, etc...) as a result of lysing (DNA Recovery section). In a more elaborate experiment, we were able to show that not only did the lysing efficiently release plasmids from the cells, but that it could be made to do so selectively in a large culture containing a variety of strains (DNA Selection section). Finally, cognizant of the fact that a good lysis selection method ought to be flexible with regards to the larger reporter system, we manufactured twelve different T7 promoter variants that exhibit a wide range of strengths and induction efficiencies. The latter will play a crucial role in being able to accomodate the activation time-scales of fragile and complex selection systems.
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All the pieces of the selection machine have been tested experimentally and found to work. The road ahead will find them coming together under one roof and making progress for synthetic biology, millions of cell-lysings at a time.
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Revision as of 00:44, 22 September 2011