Donna S Neuberg

This paper introduces APC-ms, a platform that expands rare tumor-antigen-specific T cells from peripheral blood, achieving higher enrichment and functional properties compared to conventional methods.

This paper uses Dynamic BH3 Profiling to predict clinical outcomes in AML by assessing drug-induced apoptotic priming in patient samples.

The paper analyzes single-cell data from bone marrow samples to identify immune cell interactions that predict response to adoptive cellular therapy in myeloid leukemia.

This study developed a DNA origami-based cancer vaccine that co-delivers antigen and CpG immune adjuvant with an optimal nanospacing for Th1 immune polarization.

The paper maps T cell state evolution during response and resistance to adoptive cellular therapy using single-cell transcriptomics and machine learning, identifying key exhausted subsets and their origins.

The paper identifies TERT rare variants in MDS patients, showing shorter telomeres, younger age at diagnosis, and worse survival, suggesting their role in MDS pathogenesis and transplant outcomes.

The paper examines TP53 allelic states in MDS patients, finding that bi-allelic targeting is linked to worse outcomes, while mono-allelic targeting does not differ from wild-type patients.