"Meet us" video
How the Team Met
Part of the team learned about iGEM during the [http://www.vvz.ethz.ch/Vorlesungsverzeichnis/lerneinheitPre.do?lerneinheitId=48939&semkez=2008S&lang=en Synthetic Biology Lecture] given by our instructors at ETH. Another part of the team applied after receiving the following ETH wide e-mail promoting iGEM:
|
What is the most exciting thing natural scientists and engineers can do together? - The iGEM summer competition!
iGEM is an international student competition in the field of synthetic biology, organized by MIT. Each participating university sets up an interdisciplinary student team consisting of 8 to 10 biologists,chemists and engineers.
Half of the team has to be undergraduate students, but also MSc and PhD students can participate.
The team's goal is to collect ideas on a novel biological system, analyze the biological and engineering design alternatives, including mathematical modeling of the system, and choose the 'best' design.
This system is then translated into DNA code, put into a cell and tested experimentally.
In November, all teams present their projects at the MIT in Boston. In 2007, there were 57 teams from all over the world, including teams from MIT, UCSF, Caltech, Duke, Stanford, TIT, Princeton, Cambridge, Imperial, Harvard, UC Berkeley, and more teams from the US, Australia, India, China, Japan, and Europe (http://parts.mit.edu/igem07/index.php/Main_Page ).
After major successes in 2005 (best engineering), 2006 (best device) and 2007 (best presentation), ETH is participating again this year, and professors Sven Panke and Jörg Stelling are assembling a mixed team of engineers and natural scientists from the Bachelor, Master and PhD level. If you want to be part of the iGEM experience, apply until April 11th on
|
For this year's team nine students got selected, and on Wednesday, April 16th, the first meeting was scheduled.
As you can see on our Team Members Page, students from very diverse fields were offered the possibility to participate in the ETH iGEM team.
Boot Camp
The following weeks were what last year's team had refered to as "Boot Camp".
Our advisors organized two weeks of an intense crash course into the field of synthetic biology, during which we learned about the diverse aspects of the field:
The "Boot Camp" Schedule
| Date | Topic1 | Topic2
|
| Mo, 21.4
| Synthetic Biology:
[http://www.nature.com/nature/journal/v438/n7067/full/nature04342.html Foundations for engineering biology]
[http://www.nature.com/msb/journal/v1/n1/full/msb4100025.html Refactoring bacteriophage T7]
| DNA de nova design:
|
| Th, 24.4
| Distance:
[http://www.pnas.org/content/101/17/6355.abstract?ct Spatiotemporal control of gene expression with pulse-generating networks]
| DNA circuits:
|
| Mo, 28.4
| Modeling biological systems:
| Network dynamics:
|
| Wed, 30.4
| Identification & Robustness:
| Synthetic circuit design:
|
| Fr, 2.5
| Oscillators:
| Hysteresis:
|
| Tu, 6.5
| Noise/single cells:
| mRNA tools, protein tools:
|
| Fr, 9.5
| Meeting - reduce Topics from Brainstorming
| Restriction enzymes
Cloning strategies
Biobrick standard
|
| Th, 15.5
| Meeting
| The MIT registry
|
| Wed, 21.5
| Meeting
| Protein half-life, specific proteases,
epPCR to adapt systems
Parameter manipulations
|
| Th, 29.5
| Meeting
End of Planning Phase - Submission DNA Sequence
| GFP - protein and measurements.
Chemical/physical basis of XFP. Flourescence, excitation and emission spectra of various proteins, measurement techniques
|
| 2.-5.6
| LABCOURSE at CNB
| Basic hands-on modelling
|
Lab Course
Additionally, one week of lab crash course was integrated into the "Boot Camp" in the beginning of June. The aim of this course was to introduce non-biologists to basic techniques of micro- and molecular biology. That way they were able to assist the biologists so that the latters could concentrate more on experimental planning and interpretation of results. The idea was to grasp this chance of an interdisciplinary project in order to offer the students the possibility to get an insight into a field that is totally different from their university background. Therefore, the modellers got comfortable in the lab, and the biologists learned about modelling.
|
"
