Angeline C. Rivkin

The paper identifies gene-CRE pairs in mouse brain cells by integrating single-cell transcriptomes and epigenomes, controlling for gene co-expression.

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 develops a multi-omic single-nucleus sequencing method and framework to analyze regulatory genome diversity in human cortical cells and link it to disease risk variants.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper creates a comprehensive atlas of mouse primary motor cortex cell types using integrated transcriptomic and epigenomic data from over 600,000 samples.

The paper constructs a DNA methylation atlas of the mouse brain at single-cell resolution, revealing epigenetic diversity and spatial organization of neuronal subtypes.

The paper links epigenomic properties of cortical projection neurons to their anatomical and projection patterns using single-nucleus DNA methylation sequencing in mice.

The paper develops sn-m3C-seq to profile chromatin conformation and DNA methylation in single nuclei, enabling high-resolution cell-type classification and chromatin map reconstruction in mice.

This paper introduces snmCT-seq, a multi-omic method that profiles transcriptome and DNA methylome from single nuclei, enabling accurate cell type classification in human tissues.

This paper introduces snmC-seq2, an improved single-cell DNA methylome profiling method that enhances read mapping, reduces artifacts, and increases throughput and coverage uniformity.