Yao Yu Yeo

A Human Genome-wide CRISPR-Cas9 Screen Reveals Host Factors That Support Epstein-Barr Virus B cell infection

This study uses a genome-wide CRISPR-Cas9 screen to identify host factors essential for EBV B cell infection, revealing new pathways and potential therapeutic targets.

Coordinated immune-epithelial dynamics in the nasal epithelium protect against respiratory virus infection

The paper identifies IL13-driven immune-epithelial remodeling in the nasal epithelium that restricts respiratory virus infection by reshaping the mucus barrier.

SARS-CoV-2 Nsp15 antagonizes the cGAS-STING-mediated antiviral innate immune responses

This study shows SARS-CoV-2 Nsp15 inhibits cGAS-STING-mediated antiviral responses by reducing cGAS and STING expression, thereby enhancing viral replication.

Single-Cell and Spatial Methods for Multimodal Functional Glycan Profiling in Tissues

The paper introduces two methods to profile functional glycan-lectin interactions in tissues using single-cell and spatial multiomic approaches, revealing stimulus-specific glycan remodeling and spatial glycan programs in immune cells and follicular lymphoma.

Spatial immune hubs defined by conserved activated dendritic cells are remodeled by immunotherapy

The paper constructs an integrated atlas of tumor-infiltrating dendritic cells across species and immunotherapy conditions, revealing conserved activation states and spatial reorganization in response to therapy.

PASTA: Versatile Tyramine-oligonucleotide Amplification for Multi-modal Spatial Biology

PASTA enhances spatial biology detection sensitivity while maintaining compatibility with multiple modalities and multiplexing strategies.

Same-Slide Spatial Multi-Omics Integration Reveals Tumor Virus-Linked Spatial Reorganization of the Tumor Microenvironment

This paper introduces IN-DEPTH and SGCC for spatial multi-omics analysis, revealing EBV-related immunomodulatory differences in DLBCL.

Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data

This paper introduces CellSNAP, a self-supervised method that integrates spatial, transcriptomic, and proteomic data to improve cell population delineation in spatial-omics datasets.

Spatial omics representation and functional tissue module inference using graph Fourier transform

This paper introduces SpaGFT, a graph Fourier transform model for spatial omics data analysis, enabling accurate identification of tissue modules and their functional relationships in spatial transcriptomics and proteomics data.