Katherine E. Ferguson

The paper integrates coding and noncoding genome annotations to improve transcriptomic analysis, identifying clinically relevant noncoding RNAs in multiple myeloma.

This study uses spatial and single-cell transcriptomics to identify niche-specific signaling programs in multiple myeloma that drive progression and immunosuppression.

The paper characterizes immune microenvironment dysregulation in multiple myeloma using single-cell data and links it to disease progression and patient outcomes.

This study uses single-cell RNA sequencing to identify treatment-resistant subtypes and mast cell-like cells in pediatric AML, linking them to poor outcomes.

This study uses longitudinal multi-omic profiling to identify immune escape mechanisms and predictors of response in multiple myeloma.