Rashmi Kumar

This study evaluates chemical decrosslinking to improve proteome coverage in FFPE tissues, finding that 3,4-diaminobenzoic acid enhances precursor identifications in pancreatic samples.

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.

This paper introduces multi-tiered Dicers for microdissection, achieving better protein preservation and higher peptide/protein yield compared to LCM at 10-20 micron resolution.

This study analyzes multi-omic data from gliomas to identify therapeutic escape mechanisms and TME evolution, finding that N-glycosylation classifies tumor grade and immune transcriptome predicts GBM survival.

This paper develops a spatial proteomics workflow to identify and map proteoforms in human kidney tissue, revealing spatially distinct proteomic profiles between glomeruli and tubules.