Team:LCG-UNAM-Mexico
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Bacteriophage infection represents an interesting process in science and industry. The idea of being able to contend at a population level with such infections is the main motivation for the development of our project.<br> | Bacteriophage infection represents an interesting process in science and industry. The idea of being able to contend at a population level with such infections is the main motivation for the development of our project.<br> | ||
- | We propose a population level approach relaying on a | + | We propose a population level approach relaying on a defence system delivered by an engineered version of the enterobacteria phage P4. The purpose of the defence construction is to make a bacteria to hold back the process of infection by triggering a cellular death response when a cell encounters a specific component of the infective phage. Such response will be fast enough to stop the formation process of viral particles, thus preventing the phage proliferation and population decline.<br> |
- | + | The defence system delivery takes advantage of the satellite properties of P4 phage. This means that a P4 phage engineered with the defence construction will be able to infect an ''E.coli'' strain which harbors some genes from helper phage P2 that are used for complementing and completing P4 life cycle, hence creating a production line of our version of P4.<br> | |
- | + | Besides, the defence system will consist of DNA and RNA degradation by toxins which will be transcribed by T3 or T7 RNA-Polymerases fast enough to stop phage assembly and scattering in the environment. Simultaneously, a quorum sensing signal will be diffusing to the non-infected bacteria acting as a transcriptional activator of an antisense RNA against bacteriophage's transcriptional machinery , hence "warning" the population to prepare against further T3 or T7 infection.<br> | |
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Furthermore, we will implement a stochastic [[Team:LCG-UNAM-Mexico: | multi-scale model]]. The model will simulate the behaviour at the intracellular scale using [[Team:LCG-UNAM-Mexico:Molecular model | stochastic molecular simulations]] and at the populations scale using a [[Team:LCG-UNAM-Mexico:CA | Cellular Automata]] and a [[Team:LCG-UNAM-Mexico:odes | system of ODE's]]. <br> | Furthermore, we will implement a stochastic [[Team:LCG-UNAM-Mexico: | multi-scale model]]. The model will simulate the behaviour at the intracellular scale using [[Team:LCG-UNAM-Mexico:Molecular model | stochastic molecular simulations]] and at the populations scale using a [[Team:LCG-UNAM-Mexico:CA | Cellular Automata]] and a [[Team:LCG-UNAM-Mexico:odes | system of ODE's]]. <br> |
Revision as of 17:48, 19 October 2009