Boning Zhang

This paper develops an allogeneic T cell therapy strategy using gene editing to reduce immune rejection and enable off-the-shelf use, showing comparable function to autologous cells.

MetaTiME identifies data-driven meta-components in tumor immune microenvironment scRNA-seq data to annotate cell states and reveal transcriptional regulators.

The paper develops a machine learning model to predict protein degradability for targeted protein degradation, identifying key features and extending predictions to the proteome.