Yuanwei Xu

This study identifies pig xenoantigens reactive to human preformed antibodies using proteomic and glycoproteomic methods, revealing potential targets for improving xenotransplantation.

The paper uses proteomics data and machine learning to identify protein signatures distinguishing renal cell carcinomas from normal tissues and different subtypes.

The paper optimizes data-independent acquisition (DIA) mass spectrometry for single-cell proteomics, achieving reliable quantification of proteins and post-translational modifications at sub-nano-gram levels.

This study uses genomic data and mathematical modeling to reconstruct transmission events in a large TB outbreak, identifying key predictors of transmission.

The paper introduces EXoO-Tn, a method to map Tn-glycosylation sites in the human proteome, identifying 947 sites from 480 glycoproteins in Jurkat cells.