Jia Tao Song

Spaceland reconstructs high-resolution 3D molecular atlases from sparse spatial transcriptomics and histology, improving resolution and accuracy across multiple biological contexts.

This study develops an mRNA-LNP delivery system to program CAR-Ms in vivo, showing enhanced antitumor effects through immune activation and synergy with PD-1/L1 therapy.

The paper introduces WPS2, a high-throughput and high-sensitivity scRNA-seq method, which improves gene and transcript detection in low RNA-content cells and nuclei.

mitoSplitter uses mitochondrial RNA variants to demultiplex pooled single-cell RNA-seq data, enabling efficient analysis of multiple samples without batch effects.

Decoder-seq is a spatial RNA sequencing method that provides high-resolution, cost-effective, and sensitive spatial transcriptomic analysis, revealing detailed spatial gene expression patterns in mouse hippocampus and renal cancer.

This study uses single-cell RNA-seq and mitochondrial variants to trace lineage differences between alpha and beta cells in human pancreatic development, revealing distinct developmental trajectories not seen in mice.

The paper develops a phylogenomics workflow to analyze 64 vertebrate genomes, revealing evolutionary patterns and duplication/loss events with high accuracy.