Jordan Altshul

This paper creates a multimodal single-cell atlas of the human basal ganglia, revealing epigenomic and 3D genome features across cell types and linking them to disease-associated genetic risk.

This study identifies how genetic and environmental factors shape the human immune cell epigenome through differential methylation and chromatin accessibility changes.

This study presents a single-cell multi-omic atlas of Alzheimer's disease brain regions, revealing region-specific epigenomic changes and altered cell states.

The paper maps epigenetic and spatial transcriptomic changes in aging mouse brain using single-cell multi-omic data and develops deep-learning models to predict age-related gene expression changes.

The paper examines age and sex effects on human cortical neurons using multiomic data, finding age-related changes in gene expression and DNA methylation, and sex differences in gene expression and X-inactivation escape.

The paper generates a single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain, identifying methylation patterns and regulatory networks across cell types and brain regions.

This study identifies AD-specific DNA methylation signatures and chromosomal epigenome erosion in LOAD brain cells and shows their conservation in induced neurons.

The paper links single-cell epigenomes and projection patterns of 33,034 mouse neurons to identify transcriptomic and epigenomic properties of projection cell types.

The paper identifies 188 cell types in the human brain using single-cell DNA methylation and 3D genome data, and develops a tool to predict cell types based on methylation patterns.