Xiang Zheng

This study uses deep learning to analyze proteomic data from mouse kidney compartments, revealing distinct injury programs in proximal tubules and glomeruli in diabetic kidney disease.

This paper uses single-cell proteomics by mass spectrometry (SCP-MS) to analyze mouse kidney cells, revealing previously undetected protein-level heterogeneity, including a proliferative subset of distal convoluted tubule cells.

This study uses Deep Visual Proteomics to analyze SRCC proteomics, identifying DNA replication stress and immune-related features, suggesting pembrolizumab may be more effective than chemotherapy.

The paper develops a method combining multiplexed imaging and proteomics to analyze tumor microenvironments, identifying immune cell interactions and adaptations in colorectal and tonsil cancers.