Team:TU Munich/Project
From 2010.igem.org
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VisionAlthough classical molecular biology and genetic engineering equipped the science community with many functional proteins and possible applications, using and linking different parts together to a working network still requires highly complicated strategies. The switches established in molecular biology, for example the lac operon, are highly limited, as most of them rely on interactions including metabolites and proteins providing only one on/off-signal. Thus, it is hardly possible to build up a logic network inside a cell without interferences between different switches. Our approach is to change this by developing a new and more robust way to control E. coli cells using RNA-RNA-interaction based switches, which we call bioLOGICS. ConceptThe basic principle of our switches are short RNA sequences, the scientific idea shares similiarities with the principle of antitermination but also inherits a completely new way of RNA based transcription regulation. We used three-dimensional structure predictions and thermodynamic calculation to develop a set of switches - about 50 nucleotides - and signals - about 20 nucleotides. The switch forms a stem loop causing transcription termination, which can be resolved upon binding of a signal. On/off switching can therefore be easily controlled by signal avaiability and provides a new concept to control gene transcription. Read more
Network constructionDesigning complex biological networks based on either traditional protein engineering or our new bioLOGICS is still a complex task. We developed a software which allows the fast construction of a bioLOGICS based networks. Work ProgressEvery network starts with a basic unit. While our declared aim is to enable networks allowing fine-tuning of gene expression beyond the regular on/off, exploring such an on/off switch/signal pair is the first step towards a functional network. We constructed several units and tested their efficiency, robustness and reproducibility in vivo, in vitro and in silico. Furthermore we developed a software which allows easy constructions of networks delivering a ready network. Conclusive elaboration of a few first RNA-based logic units is the major contribution of our iGEM team.
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