Yiming Zhou

The paper uses spatial omics to analyze translational dysregulation in Grin2a+/- mice, finding gene-specific translation reductions in neurons and non-neuronal cells linked to schizophrenia pathophysiology.

This paper develops Deep-STARmap and Deep-RIBOmap for 3D spatial transcriptomics and translatomics in thick tissue blocks, enabling analysis of gene expression and immune interactions in human skin cancer.

The paper creates a high-resolution spatial atlas of the mouse CNS by combining in situ sequencing with scRNA-seq data to map cell types and gene expression across the brain and spinal cord.

The paper introduces SPIN, a method to mitigate autocorrelation in spatial transcriptomics by subsampling neighbors, improving existing methods and enabling joint analysis across datasets.

The paper introduces RIBOmap, a 3D in situ method to profile mRNA translation at single-cell and spatial resolutions, revealing translation dependencies on cell cycle and subcellular localization in brain tissue.

The paper introduces STARmap PLUS to map single-cell transcriptional states and disease markers in AD mouse models, revealing spatial relationships between cell types and pathological features.