Jimmy Tsz Hang Lee

The paper provides a high-resolution molecular and cellular analysis of Broca's area and motor cortex across developmental stages, identifying distinct cellular signatures and vulnerabilities to neurodevelopmental disorders.

Human Developmental Cell Atlas integrates ~4.6 million cells/nuclei from 4-22 post-conception weeks into 454 refined cell types and maps 114 spatial niches across 6PCW whole-embryo sections.

The paper performs a federated cis-eQTL meta-analysis across single-cell datasets to identify cell-type-specific genetic effects and link them to disease mechanisms.

The paper identifies a spatiotemporal cancer cell trajectory in glioblastoma that explains tumor heterogeneity across regions and subclones.

The paper introduces scCellFie, a framework to infer metabolic activities from single-cell and spatial transcriptomics data, revealing organ-specific metabolic programs and disease-associated alterations.

The paper identifies FOXO1 as a key regulator of inhibitory neuron differentiation in mouse and human cerebellar progenitors, showing its conservation and regulation by WNT signaling.

This study integrates single-cell and spatial transcriptomics with histopathology to identify cellular and molecular changes in lung alveolar damage during COVID-19 progression.

scASfind identifies cell type-specific alternative splicing patterns in scRNA-seq data, revealing splicing events missed by gene-level analysis.

Demuxafy improves droplet assignment and doublet removal in scRNA-seq by combining multiple demultiplexing and doublet detection methods.

The paper uses single-cell RNA sequencing to study porcine medial entorhinal cortex development and demonstrates the production of human entorhinal stellate cell-like cells from pluripotent stem cells.

scfind enables efficient querying of single-cell data to evaluate marker genes, perform in silico gating, and support multi-omics analyses.