Team:ETH Zurich
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+ | == The Team == | ||
+ | <li>[https://2008.igem.org/User:juliasl Julia Slipantschuk]</li> | ||
+ | <li>[https://2008.igem.org/User:sgiese Sebastian Giese]</li> | ||
+ | <li>[https://2008.igem.org/User:Nico Nico Hensgens]</li> | ||
+ | <li>[https://2008.igem.org/User:ruby Rebecca Herbst]</li> | ||
+ | <li>[https://2008.igem.org/User:User:rbyun Reine Byun]</li> | ||
+ | <li>[https://2008.igem.org/User:Georg Georg Ofenbeck]</li> | ||
+ | <strong>Graduate Students</strong> | ||
+ | <li>[https://2008.igem.org/User:snev Sven Lucas Dietz]</li> | ||
+ | <li>[https://2008.igem.org/User:Luca.Gerosa Luca Gerosa]</li> | ||
+ | <li> [http://www.biol.ethz.ch/IMB/groups/ban_group/members/jrabl Julius Rabl]</li> | ||
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+ | Advisors | ||
+ | <li>[http://www.ipe.ethz.ch/laboratories/bpl/people/panke Sven Panke]</li> | ||
+ | <li>[http://www.ipe.ethz.ch/laboratories/bpl/people/meyer Andreas Jörg Meyer]</li> | ||
+ | <li>[http://www.csb.ethz.ch/people/joergs Jörg Stelling]</li> | ||
== Site Map == | == Site Map == | ||
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Revision as of 23:34, 26 October 2008
Project Abstract'Random walks towards the minimal genome' "This year's ETH Zurich project tackles a fundamental problem of synthetic biology: the minimal genome.
Exploring the minimal set of genes that is able to support life is not only a question of significant biological interest, it is also a crucial step towards the implementation of orthogonal functionalities into a rationally designed complex biological system. An organism carrying a minimal genome would provide a simple chassis for biological engineering.
We attempted to exploit the power of accelerated evolution for a genome reduction strategy. Our approach is based on an iterative cycle of genome reduction and strain selection.
We propose a novel method to randomly delete chromosomal DNA fragments by controlled expression of restriction enzymes and ligases in vivo. Furthermore we develop a chemostat-based selective condition to select for cells with a smaller genome size by constraining nucleotide availability. Computationally, we analyze the genome for the optimal restriction enzyme, and perform flux balance analysis on a genome scale model to predict growth of reduced genome strains. Finally, we simulate the restriction enzyme expression and the progression of selection." The TeamSite Map
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