Andreas Mund

The paper identifies four epithelial transcription states in pancreatic cancer and links their origins to early developmental processes.

This study uses AI-driven proteomics to identify molecular transitions in pancreatic cancer precursors, revealing early molecular changes in histologically normal tissue.

This study uses a ubiquitin replacement strategy to show K29-linked ubiquitylation regulates SUV39H1 stability and H3K9me3 levels in human cells.

The paper uses Deep Visual Proteomics to show that human colon organoids switch to an in vivo-like phenotype after xenotransplantation.

This study creates a high-resolution morpho-proteomic atlas of mitosis by decomposing it into 40 subsections and quantifying 4,350 proteins, revealing dynamic changes and links to cancer mutations.

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.

This study uses Deep Visual Proteomics to analyze proteomic profiles in composite Hodgkin and small lymphocytic lymphomas, identifying subtype-specific treatment strategies.

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

This paper identifies VCF1 as a novel p97 cofactor that enhances p97-UFD1-NPL4 interactions with ubiquitylated substrates, promoting proteasomal degradation.

The paper develops a high-sensitivity mass spectrometry workflow to quantify single-cell proteome changes upon perturbation, revealing a stable core proteome despite transcriptomic variability.

Pairing AI-driven image analysis with automated laser microdissection and sensitive mass spectrometry yields proteomes of single cells or nuclei chosen by their morphology, with tissue position retained.

This paper presents a streamlined mass spectrometry-based proteomics workflow for analyzing FFPE tissue samples, demonstrating efficient and scalable proteome profiling of clinical specimens.