Boston University
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Revision as of 02:27, 31 May 2007
About Us
Welcome to the wiki for Boston University's iGEM 2007 team!
Our team consists of David Shi, Rahul Ahuja, Christian Ling, and Danny Bellin, all soon-to-be juniors majoring in Biomedical Engineering at Boston University.
We are advised by [http://www.bu.edu/dbin/bme/faculty/?prof=tgardner Dr. Timothy Gardner], Assistant Professor of Biomedical Engineering, as well as Frank Juhn and Stephen Schneider, students in the [http://gardnerlab.bu.edu/ Gardner Laboratory], where we work. We are grateful to our advisors for their time and support!
We are also grateful to [http://www.pfizer.com Pfizer], the [http://www.bu.edu/eng Boston University College of Engineering], and the [http://www.bu.edu/eng/bme Boston University Deaprtment of Biomedical Engineering], for their generous support of our team.
Our Project Plan
Our project is aimed at increasing current production from [http://www.shewanella.org/ Shewanella oneidensis] by directed evolution of global transcription factors.
Our plan so far:
- Mutate global transcription factors
- Design primers for amplification
- Perform error-prone PCR
- Transform mutated genes into E. coli
- Choose plasmids
- Restriction enzyme digestion
- Ligation
- Transformation into E. coli
- Conjugate E. coli with Shewanella
- Screen/select Shewanella strains for increased current production due to mutations. Potential methods:
- Alginate (?) beads and fluorocytometer
- Metallo-Antibiotics
- (DB's random idea): Could we take advantage of spectrophotometry? Perhaps we could split our collection of mutants into different groups, measure their absorbances with spectrophotometry, and assume that the sample with the lowest absorbance contains mutants producing more electricity and therefore growing slower. We could then split this sample into different groups and repeat. While there might be some inefficient strains in the successful broth samples, on the whole, the broth might be a good one for use in a fuel cell. Problem: Low absorbance could be due to mutants losing viability. Potential Solution: Let initial sample grow for a while so all mutants unable to grow will die off, all mutants able to grow will thrive, and then perform the screen.
