With our iGEM project, we have pioneered a novel therapeutic option based on a genetically engineered probiotic bacterium able to sense inflamed areas and dampen the inflammation locally. With the work conducted for our iGEM project, we have shown a Proof of Concept for this new approach. Moreover, we have developed a model that can be the base to further new hypotheses and tests. This new treatment option has already been embedded within the community through outreach and education to IBD patients, experts and the general public.

We improved an existing part BBa_K2116002 with our new nitric oxide sensor pNorVβ. Additionally, we contributed to many new parts to the iGEM registry, allowing other iGEM teams to use our genetic circuits for their projects. We also made sure to include all protocols that we have used on our wiki page, accessible for future iGEM teams. Furthermore, we have contributed to the extensive research for new treatment options against IBD by developing a new therapeutical approach with IBD NanoBiotics. We hope to help IBD patients in the future with our local and less invasive method.

We performed multiple workshops with different target groups we wanted to reach with our project. Here we provide the slides and protocols we used for our laboratory workshop with IBD patients as useful tools to introduce synthetic biology and some laboratory techniques for the first time. Furthermore, we make the slides for the primary school workshops and a guide for the instructor available, which can be used to recreate a workshop similar to ours.

We developed a model to simulate emission diffusion and the interaction of particles. The model can be used for further research into IBD but is applicable to all research using emission systems. Focus on computational cost and maintaining as close to a continuous processes as possible allows for a wide range of time steps that can be performed with minimal hardware. In this way, we made our model accessible for researchers of all demographics, and a visual interpretation of our simulation lets everyone explore the effect of our parameters on the results.