Derek C. Chen

Repeated malaria exposure reprograms Vδ2+ γδT cell chromatin accessibility and immune function toward a reversible hyporesponsive state

Dissecting epigenome dynamics in human immune cells upon viral and chemical exposure by multimodal single-cell profiling

The paper presents a multimodal epigenome atlas of human immune cells exposed to viral and chemical agents, revealing epigenetic changes in transcription factor binding sites and cytokine networks.

An emergent disease-associated motor neuron state precedes cell death in a mouse model of ALS

The paper identifies a disease-associated motor neuron state in a mouse ALS model that precedes cell death and links it to human ALS genetic risk factors.

Dissecting regulatory syntax in human development with scalable multiomics and deep learning

The paper presents a single-cell multi-omics atlas of human development and uses deep learning to analyze regulatory DNA motifs and their impact on chromatin accessibility and gene expression.

XIST ribonucleoproteins promote female sex-biased autoimmunity

This study shows that Xist ribonucleoprotein complexes drive sex-biased autoimmunity in males, leading to autoimmune pathology and reprogramming of immune cells to resemble female patterns.

Human motor neurons are rare and can be transcriptomically divided into known subtypes

The paper analyzes single-nucleus RNA-seq data from human spinal cord neurons, identifies motor neurons as rare, and highlights discrepancies with a prior study due to potential misclassification of cholinergic debris.

High Resolution Single Cell Maps Reveals Distinct Cell Organization and Function Across Different Regions of the Human Intestine

The paper maps cell organization and function across human intestine regions using single nuclear RNA and open chromatin assays, revealing distinct cell neighborhoods and regulatory differences.

Single-cell analyses reveal a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer

The paper uses single-cell data to show a continuum of cell state and composition changes from polyps to colorectal cancer, identifying stem-like cells and regulatory markers.