Andreas Metousis

This study uses Deep Visual Proteomics to analyze VSMC phenotypes in atherosclerotic plaques, finding spatially distinct phenotype distributions and a shift toward dedifferentiated states in unstable plaques.

The paper constructs a cell type-resolved proteomic atlas of the human body using Deep Visual Proteomics, revealing protein abundance patterns and uncovering cancer-testis antigens in oocytes.

The paper identifies urinary protein signatures linked to LRRK2 dysfunction in Parkinson's disease using multi-cohort proteomics and machine learning, showing cross-species relevance and potential as pharmacodynamic markers.

The paper uses spatial proteomics to show IDO1's tumor-suppressive role in ovarian cancer by linking it to tryptophan metabolism and stress response pathways.

This study links TCR clonality in NSCLC to genetic mutations, immune phenotypes, immunotherapy response, and patient survival.

nanoPhos improves phosphoproteomics sensitivity and enables cell-type resolved spatial analysis of mouse brain tissue.

The paper introduces an open-source method for high-throughput in-situ transcriptomics and provides a computational workflow for data analysis.

The paper introduces scDVP, a spatial single-cell proteomics method, and finds that half of the murine hepatocyte proteome varies spatially within liver tissue.

SPARCS enables genome-wide CRISPR screening for spatial cellular phenotypes by combining laser microdissection with deep learning, identifying key genes involved in autophagosome formation.