Emily Miyoshi

This study uses single-nucleus multi-omics to identify shared and distinct regulatory pathways in Pick's and Alzheimer's disease, revealing disease-specific enhancers and TF binding patterns.

This study uses spatial transcriptomics and single-nucleus RNA-seq to compare genetic and sporadic Alzheimer's Disease, finding similar spatial and cell-type specific changes between sporadic AD and AD in Down Syndrome.

This paper introduces hdWGCNA, a framework for analyzing co-expression networks in high-dimensional transcriptomics data, demonstrating its application in identifying disease-relevant modules in single-cell datasets.

This study compares HD astrocytes from human iPSCs and mouse models, identifying dysregulated synaptogenesis, actin signaling, and maturation, with unique human findings and potential therapeutic targets.

This study uses snRNAseq to analyze HD mouse models and human brain tissue, identifying impaired oligodendrocyte maturation and a potential role for thiamine metabolism in disease pathology.

This study identifies conserved transcriptomic networks in Alzheimer’s disease by integrating multi-omics data across multiple cohorts and cell types.