Zhangzhi Xue

The paper presents a comprehensive spatial proteome map of human tissues and cancers, enabling drug response analysis and target discovery.

This study evaluates blood contamination in nanoparticle-based plasma proteomics, identifies contamination sources, and introduces software to detect and mitigate contamination in clinical samples.

The paper develops a foundation model using perturbation proteomics data to predict drug responses and improve breast cancer prognosis.

DPHL v2 improves upon DPHL v1 by including semi-tryptic peptides and protein isoforms, increasing identified and dysregulated proteins in colorectal cancer analysis.

This paper presents a computational strategy to optimize spectral library size for DIA-MS data, improving peptide and protein identification rates in colorectal and carcinoma samples.