Kang Jin

The paper introduces an imaging-based pooled screening method to identify genetic perturbations and their effects on cell states and neighboring cells in intact tissues.

Bering improves cell segmentation and annotation in spatial transcriptomics by using graph embeddings and transfer learning, achieving better accuracy across different technologies and tissues.

The paper constructs a single-cell reference atlas for human and mouse lung tissues to improve cell type annotation and data integration.

The paper describes the LungMAP Portal Ecosystem, a centralized resource integrating multi-omics and imaging data across species to enable standardized analysis of lung biology and disease.

This study shows NRXN1 deletions affect brain development differently in specific cell types and genetic backgrounds, leading to synaptic dysfunction in organoids.

CellDrift identifies temporally varied perturbation patterns in single-cell data by analyzing covarying gene expression across time, outperforming existing methods in imputation and pattern detection.

This study shows that CASK loss disrupts synaptic transmission and network synchronicity in mature human cortical neurons but not synapse formation or neurite complexity.

This study validates that heterozygous NRXN1 deletions impair neurotransmitter release in human neurons across multiple labs, suggesting a human-specific synaptic dysfunction relevant for schizophrenia drug discovery.

The paper uses a systems biology approach to analyze COVID-19 data and identifies non-respiratory infection pathways as key to its global spread.