Stephanie C. Page

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 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.

Proust detects spatial domains using contrastive self-supervised learning on multi-omics data, showing improved accuracy across benchmark datasets.

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 generates a molecular neuroanatomical map of the human prefrontal cortex using spatial transcriptomics and single nucleus RNA-sequencing, revealing novel spatial domains and cell-cell interactions linked to psychiatric disorders.

This study investigates TrkB signaling in the lateral septum using RNA-seq, identifying gene expression changes linked to psychiatric and neurodegenerative disorders.

The paper introduces a data-driven method to identify Total RNA Expression Genes (TREGs) for estimating RNA abundance in heterogeneous cell types and identifies AKT3 as a top TREG in brain regions.

The paper uses spatial proteogenomics to analyze gene expression changes in Alzheimer's disease brains linked to amyloid-beta and tau pathology.

The paper characterizes the molecular landscape of the human locus coeruleus using spatially-resolved transcriptomics and single-nucleus RNA-sequencing, providing a publicly accessible resource.

SUFI automates spectral unmixing of fluorescent multiplex images in mouse and postmortem human brain tissues, improving accuracy over manual methods and existing software.

VistoSeg processes high-resolution Visium/Visium-IF images to integrate image-derived metrics with spatial gene expression data for spatial transcriptomics analysis.

CaPTure is a scalable pipeline for analyzing calcium imaging data from cultured neurons, enabling high-throughput phenotypic discovery.

This study identifies the basolateral amygdala to lateral septum circuit as critical for regulating sociability in mice through BDNF-TrkB signaling.

The paper identifies differentially expressed genes in PTSD and MDD across brain regions, highlighting shared and unique transcriptional patterns and immune-related pathways.

spatialLIBD provides an R/Bioconductor package for interactive visualization of spatially-resolved transcriptomics data from the 10x Genomics Visium platform.

The paper shows that Bdnf exon 1 expression is necessary for ECS-induced dendritic spine plasticity in piriform cortex neurons.

The paper identifies electrophysiological measures in hiPSC-derived neurons linked to schizophrenia diagnosis and cognitive performance.

The paper uses hiPSC transcriptomics to study neuronal differentiation and maturation across multiple conditions and develops a tool to estimate neuronal maturity.

The paper compares mouse models of syndromic ASD with human ASD brain data to identify shared myelination and axon development disruptions across both syndromic and idiopathic ASD.