Sizun Jiang

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.

This study uses spatial and single-cell transcriptomics to identify immune-stromal niches in adult-onset dermatomyositis, revealing distinct cellular and cytokine signatures associated with cancer and non-cancer lesions.

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

This study uses spatial multi-omics to compare EBV-positive and EBV-negative cHL, identifying distinct TME features and immunological signatures linked to EBV.

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

COSIE is a computational framework that integrates multiple spatial omics modalities to generate high-resolution molecular landscapes, outperforming existing methods across diverse datasets.

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.

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

This study introduces MicroCart, a framework for spatial multi-omics analysis of host-microbiome interactions in colitis, revealing tissue-level immune responses and microbial shifts.

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

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

The paper introduces MARIO, a cell matching algorithm that integrates single-cell proteomic and multi-modal data, revealing orchestrated immune responses in lung tissue.

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.

The paper introduces InTAC-seq to quantify chromatin accessibility and transcription factor abundance in fixed cells, showing GATA1's role in erythroid lineage commitment.

This study identifies SYCP2 translocation and frameshift variants as causes of male infertility through genetic analysis and functional modeling in yeast.

The paper introduces srIBI, a super-resolution imaging technique, to visualize subcellular localization of biomolecules and drugs at the nanometer scale.

This paper introduces ion beam tomography (IBT), a 3D subcellular imaging technique, and demonstrates its ability to visualize genomic regions, RNA transcripts, and protein factors with high resolution.