Yan Huang

CHART-seq enables ultra-fast, scalable full-length single-cell RNA sequencing with improved gene detection and isoform annotation compared to existing methods.

The paper develops a method to co-profile transcriptomes and proteomes of rare CSF-CTCs, revealing malignant dormancy and post-transcriptional buffering as key mechanisms of treatment resistance.

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

The paper introduces snCED-seq, a method for isolating high-quality nuclei from FFPE tissues, showing improved RNA retention and gene detection compared to traditional methods.

This study uses snRNA-seq to analyze how post-mortem interval affects cellular components and gene expression in mouse brain tissues.

This study evaluates how fixation and storage times affect nuclear transcriptomic profiles in FFPE brain tissues, finding that fixation time has a greater impact than storage time.