Nora Emerson

The paper constructs an integrative single-cell epigenomic atlas of the adult mouse brain, mapping chromatin states and gene regulatory programs across 100 cell subclasses.

The paper uses single-cell epigenomics to study brain aging in mice, finding heterochromatin instability and transcription factor dysfunction across multiple brain regions and cell types.

The paper creates a single-cell atlas of transcription and chromatin states in the human brain, identifying regulatory programs and linking them to neuropsychiatric disorders.

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.

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.

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.

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.

The paper constructs a single-cell chromatin accessibility atlas of the human brain, identifies cell-type-specific regulatory elements, and develops models to predict regulatory function of disease risk variants.

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.