Reyka G. Jayasinghe

This paper develops a high-throughput single-cell proteomic method for PBMCs, achieving 660 cells per day with 750 protein identifications per cell and identifying low-frequency cell types.

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

This study identifies LINC01432 as a lncRNA that binds to CELF2 and inhibits apoptosis in multiple myeloma, contributing to short progression-free survival to standard therapy.

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

This study uses single-cell RNA-sequencing to analyze human iNKT cells from multiple tissues, identifying novel transcriptional patterns and subsets not previously described in mice.

This study uses linked-read sequencing to phase somatic mutations in multiple myeloma, extending haplotype blocks and revealing phasing patterns in key mutated genes.