Junbum Kim

SAHA creates a multimodal, subcellular-resolution reference atlas of healthy human tissues, revealing spatial organization and disease-associated disruptions across multiple organ systems.

This study profiles early-stage lung adenocarcinoma using multiplexed imaging mass cytometry to reveal two progression pathways: inflammation-driven and fibrosis-driven, with EMT masking malignant cell expansion.

This study identifies immune suppressive barriers in preinvasive lung cancer progression using single-cell analyses, revealing key cellular and spatial changes that could inform therapeutic strategies.

This paper introduces UTAG, a method to automatically identify tissue structures in multiplexed imaging data, showing it can detect higher-order tissue organization and relate it to disease states.