Ryan A. Miller

The paper uses spatial transcriptomics to analyze molecular differences in mood disorders and biological sex in the human prefrontal cortex, identifying sex- and disorder-specific gene expression patterns.

This study maps the spatiomolecular organization of the human habenula using multi-omic approaches, identifying molecular signatures and spatial domains linked to psychiatric disorders.

This paper develops a 3D spatial genomics framework to reconstruct the molecular and cellular organization of the human nucleus accumbens across anatomical axes.

This study creates a spatial transcriptomic atlas of the human amygdala, revealing distinct cell types and genetic risk localization across its subnuclei.

This study creates a spatiomolecular atlas of the human nucleus accumbens using spatial transcriptomics and single-nucleus RNA sequencing, revealing spatial gradients and conserved features across species.

The paper integrates spatial transcriptomics and single-nucleus RNA-seq data from the human dACC to define molecular profiles, spatial domains, and functional insights.

This study maps molecular and genetic signatures of schizophrenia in human prefrontal cortex across spatial scales, revealing altered BDNF-TrkB signaling and inhibitory circuit dysfunction.

The paper creates a single-cell atlas of sex-differentially expressed genes in human hypothalamus regions, revealing molecular sex differences and their links to neurodevelopmental disorders.

spaTransfer transfers cell type or spatial domain labels between single-cell and spatial transcriptomics datasets using non-negative matrix factorization and a multinomial model.

The paper investigates how APOE genotype affects gene expression in the human entorhinal cortex, identifying an oligodendrocyte subtype as a potential mediator of Alzheimer's disease risk.

The paper analyzes the transcriptomic landscape of the human locus coeruleus in relation to Alzheimer's disease risk factors and neuromelanin content using spatially-resolved transcriptomics.

The paper analyzes transcriptomic diversity in amygdalar subdivisions across humans and nonhuman primates using single-nucleus RNA sequencing and identifies distinct neuronal subtypes and transcriptional specializations.

The paper integrates single-nucleus and spatial transcriptomics data to map the molecular landscape of the human hippocampus, identifying cell types and spatial domains.

This study analyzes age-related changes in gene expression in the human dentate gyrus, identifying shifts in neurogenesis, maturation, and neuroinflammation across the lifespan.

The paper performs snRNA-seq on human lateral septum tissue to identify cell types and marker genes, finding conserved and species-specific expression patterns.

The paper introduces visiumStitched, a tool for stitching Visium spatial transcriptomics data across multiple capture areas, enabling seamless analysis without data loss.

The paper semantifies and harmonizes biological pathway diagrams from WikiPathways to enable semantic querying and integration with linked data.