Xiangdong Fang

The paper identifies DNA methylation subtypes of gout associated with urate excretion using methylation profiling and machine learning, achieving high predictive performance.

The paper integrates single-cell and spatial transcriptomics to analyze the tumor microenvironment of intrahepatic cholangiocarcinoma, identifying a key cholangiocyte-macrophage interaction that contributes to immunotherapy resistance.

The paper analyzes ex vivo human erythropoiesis at single-cell chromatin accessibility and transcriptome levels to identify discrepancies and constraints in erythrocyte regeneration.

EryDB is a database that collects and integrates transcriptomic data for erythropoiesis and erythroid-related diseases, enabling analysis and visualization of gene expression across species and tissues.

This study maps the single-cell landscape of acral melanoma and analyzes the molecular regulatory network of its tumor microenvironment, identifying nine cell types and key interactions.

This study maps the differentiation trajectory of iPSC-derived erythroid cells using single-cell transcriptomics, identifying key transcription factors and cell types.

The paper investigates the interaction between long non-coding RNAs and chromatin accessibility during erythroid differentiation, identifying stage-specific regulatory networks and key lncRNAs involved in the process.