Ye Zhang

This study integrates single-cell biophysical and transcriptomic data to identify clinically relevant phenotypes in mantle cell lymphoma, linking biophysical properties to gene expression and drug response.

The paper develops a high-throughput method to measure single-cell density and applies it to study immune cell states and drug response in patient samples.

This study shows how cancer cell stiffness, influenced by environmental rigidity, affects immune response and metastatic site selection in mice and patients.

The paper uses buoyant mass to identify distinct T cell states that predict response to immune checkpoint therapy in melanoma patients.

This study identifies mutation and transcriptional state compatibility in Ph+ ALL MRD, showing that targeting these interactions can overcome BCR::ABL1 independence and improve MRD monitoring.