Contribution
The project developed this year by our team has created two parts, bphb1 and ppsr2. In addition, we 3D modeled our project products, hoping to contribute to stress relief during the commercialization process. What's more, we've also co-authored a guidebook with Hainan U to help future new teams get started with iGEM.
1. A new prospect field for iGEM
When we first thought about the project, we hoped to make some changes in a new field using synthetic biology methods. In the current social context, people's pressure is gradually increasing, and we find that smell can effectively regulate people's emotions and relieve stress. And synthetic biology is still in its infancy in the field of regulating emotions by controlling the release of odors, so we chose this project to contribute to the future iGEM team exploring this field.
2. New documentation to an existing Part
We noticed that the BphP1-binding blocker protein QPAS1 was not working properly in any of the previous teams, so we improved it and our experiment results proved that our improvements were fully feasible, achieving better results than in the previous teams. For more information, you can find it in BBa K4427001
Meanwhile, we have innovatively changed the binding site of the EL222 protein to allow the promoter to work better. We chose the LOV structural domain of the EL222 protein so that it can work better and more effectively than the old one, and our experiment results could prove it.
For more information you can see here: BBa K44270033. Team handbook
As two new teams from iGEM, Hainan U and we had a lot of problems with the rookie team in the early days. We believe that many of the problems are common, so we have recorded many basic problems encountered in the process of forming a team and participating in the competition, and gave our solutions, compiling this experience manual to provide reference and help for the subsequent participating teams.
Here is our handbook for future iGEM teams:Handbook4. Model
Our modelling focuses on the material production process of the blue light system itself. We use experimental means to obtain the corresponding sampling data for model building and analysis, and then use the models to better guide the next experimental process.
By comparing different fitting methods and innovatively using common machine learning approaches, we finally settled on an improved logistic equation and linear iterative growth prediction model, in the hope that it can be used as a guide for subsequent plasmid culture and selection in our laboratory for other light systems such as red light systems.This will also provide new ideas for future iGEM teams.
In order to better investigate the relationship between the final product of our blue light expression system, phenylethanol, and the corresponding temperature and pH conditions. We measured the activity of Adh1 and the complex enzymes of both Adh1 and KdcA during the reaction with reference to the chemical mechanism of the reaction, and then spatially fitted the sampling points. We inferred the optimum enzyme activity changes and the corresponding product production under different conditions during the corresponding reactions. Our method of indirectly determining phenylethanol production in combination with chemical reaction equations hopes to be useful for other teams.
More details can be found on the following pages:Model | JLU_China - iGEM 2022
5. Software
In terms of software, we have realized the multi-modality of emotion recognition, combining heart rate and expression to achieve emotion recognition, which improves the accuracy of emotion recognition. Future iGEM teams can use our code to speed up the process when working on emotion recognition.
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6. 3D printed piece of hardware
Here is the 3D model we designed for our product,In the following figure, on the left is our design sketch, and on the right is the rendered finished image:
We design the fan at the bottom of the device into the form of a bladeless fan, the wind is soft and the air supply area is small, the volatile substance is more conducive to blowing to the user, and the wind blown out by the bladeless fan is diverted through the internal air duct, there will be no violent wind impact, more soft and smooth. This design can be used by future iGEM teams.
