Dan Xie

This study uses spatial transcriptomics to analyze the progression of high-grade IPMN to invasive PDAC, identifying clonal evolution, key drivers, immune shifts, and CAF roles.

This study introduces SomaGauss-SV, a nanopore-based method for detecting somatic structural variations in LSCC, revealing correlations with smoking and gene expression.

This study shows that tumor-resident microbes like Bacillus mycoides and Pseudomonas veronii metabolize EGFR-TKIs, reducing their efficacy in NSCLC.

This study identifies somatic repetitive element insertions as new biomarkers in pan-cancer by analyzing 325 cancer genomes using long-read sequencing.

SVscope improves somatic SV detection using full-length sequence models and local graph-genome optimization, achieving higher accuracy than existing methods.

The paper uses nanopore sequencing to analyze large-scale somatic insertions in NSCLC, identifying three key insertion patterns and their regulatory impacts.

The paper develops an integrated model using fragmentomic and 5-hydroxymethylcytosine features from low-pass sequencing data to achieve high sensitivity and specificity in pan-cancer detection.

The paper finds that high neuronal activity and high functional connectivity are mutually exclusive in both zebrafish and human brains using calcium imaging and fMRI data.

The paper analyzes 5-hydroxymethylcytosine in cell-free DNA to predict tumor types and stages with high accuracy.