Huaming Chen

The paper presents an integrated single-cell and epigenomic resource for exploring basal ganglia datasets across species, enabling multi-omics and comparative analysis.

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.

This study examines DNA methylation changes in blood and muscle across different training programs and timepoints, identifying DMRs linked to exercise adaptation, sex, and physiological functions.

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 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 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.

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 identifies a PIF-INO80 regulatory module that controls light quality-dependent H2A.Z dynamics in plants.

The paper maps DNA methylation changes across 12 mouse tissues at 8 developmental stages, identifying methylation variant regions and tissue-specific enhancers linked to human genetic diseases.