Ruoyan Li

This study uses single-cell transcriptomics to analyze T cell lymphomas, identifies developmental origins, and discovers SYK and TIM3 as potential therapeutic targets.

The paper integrates single-cell RNA-seq datasets across the GI tract to identify epithelial metaplasia in inflammatory diseases, showing its role in inflammation through immune cell interactions.

This study constructs a multiomic atlas of human early skeletal development using single-nuclei transcriptomics, epigenomics, and spatial transcriptomics to uncover regulatory mechanisms and cell states involved in bone and joint formation.

The paper identifies Th2-like malignant cells in CTCL supported by a B cell-rich microenvironment through single-cell and spatial transcriptomics analysis.

SComatic detects somatic mutations in single-cell RNA-seq and ATAC-seq data without bulk DNA sequencing, achieving higher precision than existing methods.

A multi-regional single-cell study of kidney tumours reveals clonotypic heterogeneity, immune cell exhaustion, and potential therapeutic targets through transcriptomic and exomic analysis.

The paper maps somatic mutations and clonal expansions in normal human tissues across nine organs, revealing organ-specific patterns of mutation accumulation and clonal evolution.