Collaborations
UK iGEM Meetup
On 12th and 13th July, we helped host the UK-wide iGEM meetup at Worcester College, Oxford in partnership with SynBio UK. Teams travelled from across the country to attend this two-day event that promoted collaboration, offered advice and gave an insight into what lies beyond the iGEM competition.
Imperial College London iGEM - Wet Lab
In conjunction with Imperial College, we tested a range of SoxS promoter strengths in order to create a functional library. GFP production was measured in response to hydrogen peroxide (and electrical stimuli on their part) to characterise a range of BLAST SoxS promoters. Our parts were to be assembled by the digestion of eCFP from the kit plate and the amplified promoter construct was digested using XbaI and EcoRI followed by ligation. A kit plate assay was performed to measure GFP expression as a function of both hydrogen peroxide and cell growth in order to determine the cytotoxic effects of the inducer.
Imperial College London iGEM - Outreach
We teamed up with Imperial iGEM to hold a joint stall during New Scientist Live at the ExCel centre, London. Throughout the 4-day exhibition, which featured our respective project posters, we engaged with visitors to discuss various aspects of iGEM, genetic engineering, and our projects. In preparation for the event, we held weekly Skype meetings with the Imperial team in order to jointly design an educational leaflet designed to improve understanding about synthetic biology, including common laboratory techniques, to distribute to the general public. The leaflet is shown below:
Imperial College London iGEM - Software Testing
We tested a web app (‘let’s talk about this’) created by the Imperial iGEM team designed to help resolve team issues that may arise in extended projects. We provided feedback on various aspects of the software in order to improve its suitability as a tool to promote discussion.
METU HS iGEM - Mentoring
High School Mentorship
Tec Monterrey GDL iGEM - ?
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Tec Monterrey iGEM - ?
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Warwick iGEM - Modelling
Hill Functions