Myungjin Kim

The paper introduces FICTURE2, a statistical model that infers transcriptional programs from individual RNA molecules in spatial transcriptomics data, revealing spatial organization and cellular identity without segmentation.

This study combines histopathology and spatial transcriptomics to show that mTORC1 hyperactivation causes fiber-type-specific pathological changes in skeletal muscle.

Seq-Scope-X improves spatial transcriptomics resolution by expanding tissues, revealing detailed nuclear and cytoplasmic transcriptome differences in liver cells and enabling proteomic analysis in other tissues.

This paper describes a protocol to repurpose Illumina sequencing flow cells for high-resolution spatial transcriptomics, enabling detailed spatial gene expression analysis with improved resolution and cost efficiency.