Our team consists of 12 dedicated students from WLSA Shanghai Academy, divided into Wet Lab and Dry Lab groups. Led by Yangyi Liu, we collaborated to develop APOPTO-SENSE 2.0, a synthetic biology platform for personalized cancer drug sensitivity testing. The Wet Lab group focused on experimental design and validation, while the Dry Lab group handled modeling and data analysis. Together, we integrated human practices, education, and entrepreneurship to create a comprehensive project.
Role: Overall coordination, project management, and wet lab supervision. Contributed to synNotch receptor design and plasmid construction.
Role: Led cell line engineering and transfection experiments. Focused on optimizing HEK293T sensor cell construction.
Role: Handled apoptosis induction protocols and flow cytometry analysis for HL-60 target cells.
Role: Managed co-culture assays and fluorescence microscopy for synNotch activation detection.
Role: Assisted in plasmid amplification, extraction, and verification processes.
Role: Supported wet lab safety protocols and data collection for experimental validation.
Role: Led molecular modeling and protein structure predictions using AlphaFold for synNotch fusion.
Role: Developed kinetic simulations with COPASI for signal transduction dynamics.
Role: Handled data analysis and curve fitting using Python for dose-response predictions.
Role: Built machine learning models with TensorFlow for drug sensitivity forecasting.
Role: Designed network analyses for multiplexing cell death detection simulations.
Role: Supported software tool development and integration of dry lab results with wet lab data.
Our team divided responsibilities based on expertise to ensure efficient progress:
This structure allowed us to leverage individual strengths while fostering teamwork, resulting in a cohesive project.