Tujin Shi

This study identifies treatment-associated biomarkers in pancreatic ductal adenocarcinoma using serum extracellular vesicle proteomics, finding platelet-related changes linked to survival and therapy response.

This paper introduces an improved single-cell proteomics method, iSOP-MS, which enhances robustness and convenience for quantitative analysis by using a low-volume 384-well plate and optimized enzyme mixtures.

This paper develops a dual ion funnel interface to enhance sensitivity in single-cell proteomics, enabling reliable quantification of low-abundance proteins from single-cell samples.

This paper develops a sensitive LC-MS method to quantify circulating proinsulin proteoforms and C-peptide, showing improved separation of control and T1D groups compared to ELISA.

The paper presents a long-read RNA-seq atlas of microglia isoforms, identifying novel isoforms and their associations with genetic risk loci in Alzheimer's and Parkinson's disease.

This paper introduces a method for label-free single voxel proteomics using wcSOP, enabling spatial resolution of protein expression in tissue samples.

This paper introduces a fast and sensitive size-exclusion chromatography method for plasma extracellular vesicle proteomic analysis, demonstrating its utility in identifying EV proteins related to physical activity.

The paper constructs a comprehensive urine proteome database from diverse renal and prostate cancer conditions, identifying potential biomarkers and unique proteins.