Wubin Ding

A Multimodal Single-Cell Epigenomic and 3D Genome Atlas of the Human Basal Ganglia

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.

Single-cell Multiome Analysis of Chromatin State and Transcriptome in the Human Basal Ganglia

This paper presents a single-cell multiome atlas of the human basal ganglia, linking chromatin states and transcriptomes to cell-type identity and disease-associated variants.

Single-Cell Atlas of Transcription and Chromatin States Reveals Regulatory Programs in the Human Brain

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.

An Integrated Single-Cell and Epigenomic Resource for Comparative Analysis of the Basal Ganglia

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

Genetics and Environment Distinctively Shape the Human Immune Cell Epigenome

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

Circuit specific specialization of human basal ganglia astrocytes

The paper defines major axes of human basal ganglia astrocyte specialization using a multimodal atlas and identifies enhancer code for targeted viral tools.

DNA Methylation Dynamics of Dose-dependent Acute Exercise, Training Adaptation, and Detraining

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.

Cell-type-specific transposable element demethylation and TAD remodeling in the aging mouse brain

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.

BAllC and BAllCools: Efficient Formatting and Operating for Single-Cell DNA Methylation Data

The paper introduces BAllC, a binary format for single-cell DNA methylation data, and BAllCools, a toolkit to improve storage and operational efficiency.

DNA Methylation Dynamics and Dysregulation Delineated by High-Throughput Profiling in the Mouse

This paper develops a high-throughput DNA methylation array and atlas for mice, revealing tissue-specific methylation patterns and their associations with aging, differentiation, and disease.