Contribution

Model

Our team has designed a comprehensive pipeline, leveraging a range of bioinformatic methods, to enhance the accurate identification of target miRNAs. This pipeline can be utilized as a model for similar iGEM projects.

In addition, we have introduced a feature importance method based on random forests into bioinformatics analysis. Taking into account the interactions between different features, we further conducted analysis using SHAP values. This approach can serve as a reference for other teams.

Experiment

The principal objective of our current research undertaking is to detect miR-21-5p, which has been identified as a potential biomarker for breast cancer, through the utilization of the CRISPR/Cas13a system. A critical hurdle encountered in our research relates to the production of crRNA, a short single-stranded RNA, which is a fundamental component of the CRISPR/Cas13a system, through conventional synthetic RNA methods. To overcome this challenge, we established a crRNA production pipeline specific for LwaCas13a protein.The crRNA production pipeline presented here has the potential to serve as a valuable resource for future iGEM teams

Beside, we designed many parts. All the parts used by our team

For a detailed introduction to parts, please click the parts page to see.