Yufeng Du

The paper uses spatial transcriptomics to analyze molecular differences in mood disorders and biological sex in the human prefrontal cortex, identifying sex- and disorder-specific gene expression patterns.

This paper develops a 3D spatial genomics framework to reconstruct the molecular and cellular organization of the human nucleus accumbens across anatomical axes.

This study creates a spatiomolecular atlas of the human nucleus accumbens using spatial transcriptomics and single-nucleus RNA sequencing, revealing spatial gradients and conserved features across species.

This study maps molecular and genetic signatures of schizophrenia in human prefrontal cortex across spatial scales, revealing altered BDNF-TrkB signaling and inhibitory circuit dysfunction.

The paper introduces ioNERDSS, a Python tool that converts 3D atomic structures into coarse-grained models for simulating macromolecular self-assembly.

The paper creates a single-cell atlas of sex-differentially expressed genes in human hypothalamus regions, revealing molecular sex differences and their links to neurodevelopmental disorders.

The paper performs snRNA-seq on human lateral septum tissue to identify cell types and marker genes, finding conserved and species-specific expression patterns.

The paper introduces visiumStitched, a tool for stitching Visium spatial transcriptomics data across multiple capture areas, enabling seamless analysis without data loss.