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The paper evaluates a nanoLC-Zeno TOF platform for spatial proteomics, identifying protein groups and differential expression in gastric cancer tissue.

This study uses phosphotyrosine proteomics to analyze CAR-T cells from patients and donors, finding heightened tyrosine phosphorylation and tonic signaling linked to therapeutic efficacy.

This study creates a spatial proteomic atlas of lung tissues from COVID-19 victims, identifying protein dysregulations and markers of pathological changes.

The paper introduces an automated proteomics sample preparation platform that improves throughput for drug target identification.

The paper introduces Slim-TPCA, an optimized method for proteome-wide characterization of protein complex dynamics, showing improved throughput and accuracy in identifying complex dissociation and association under glucose deprivation.