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Biomedical subjects

Xun Lan

Publications and source records attributed to Xun Lan.

2 recordsLinked to original sources

Tracking-seq: a universal off-target detection approach for CRISPR-Cas genome editing.

Tracking-seq is a highly sensitive method for genome-wide detection of off-target effects in cells edited with diverse genome editing modalities, including Cas9, cytosine base editors, adenine base editors and prime editors. Since most genome editors induce DNA repair pathways and generate single-stranded DNA (ssDNA) intermediates, Tracking-seq leverages this process by tracking replication protein A-a key protein that binds and protects ssDNA-to identify on-target and off-target events. Here we provide a detailed protocol for Tracking-seq, covering genome editing of cells, extraction of replication protein A-bound ssDNA, sequencing library construction and data analysis using our custom computational tool Offtracker. Tracking-seq is applicable to various genome editing scenarios with low cell input, delivering high-performance results. The entire workflow, from genome editing to data analysis, can be completed within 1-2 weeks, making it a rapid solution for assessing genome-wide off-target activity.

CRISPR-Cas Systems

Spatial-Temporal Diversity of Extrachromosomal DNA Shapes Urothelial Carcinoma Evolution and Tumor-Immune Microenvironment.

Extrachromosomal DNA (ecDNA) presents a promising target for cancer therapy; however, its spatial-temporal diversity and influence on tumor evolution and the immune microenvironment remain largely unclear. We apply computational methods to analyze ecDNA from whole-genome sequencing data of 595 urothelial carcinoma (UC) patients. We demonstrate that ecDNA drives clonal evolution through structural rearrangements during malignant transformation and recurrence of UC. This supports a model wherein tumors evolve via the selective expansion of ecDNA-bearing cells. Through multi-regional sampling of tumors, we demonstrate that ecDNA contributes to the evolution of multifocality and increased intratumoral heterogeneity. EcDNA is present in 36% of UC tumors and correlates with an immunosuppressive phenotype and poor prognosis. Single-cell RNA sequencing analyses reveal that ecDNA+ malignant cells exhibit diminished expression of major histocompatibility complex class I molecules, enabling them to evade T-cell immunity. Finally, we show that sequencing of urinary sediment-derived DNA has excellent specificity in detecting ecDNA.

Journal Article