Stephen T. C. Wong

CodeCytos improves spatial molecular imaging analysis by enabling dynamic, programmable interaction with tissue data, outperforming baseline approaches in custom feature exploration.

This study identifies PERK activation in bone marrow endothelium as a regulator of DLL4-NOTCH3 signaling, which enhances lymphoid regeneration after transplantation.

This study identifies immunosuppressive mechanisms in osteosarcoma using single-cell and spatial transcriptomics, revealing interactions between MDSCs, T-cells, and tumor cells that promote an immunosuppressive microenvironment.

This study identifies immune and stromal factors driving resistance to Trastuzumab Deruxtecan in HER2+ metastatic breast cancer using spatial proteomics.

MUSTANG performs multi-sample spatial transcriptomics analysis by integrating cross-sample similarity and spatial correlation to improve cellular deconvolution.

The paper introduces LINEMAP, a computational framework that traces and maps mutation networks in single-cell lineage dynamics using homing CRISPR technology.

The paper identifies spatial interactions between NOS2, COX2, and T-effector cells in ER- breast cancer, linking these patterns to poor patient outcomes and suggesting potential therapeutic strategies.

This study identifies NOS2 and COX2 as key spatial targets in ER- breast cancer that influence immune phenotypes and clinical outcomes through spatial analysis of tumor microenvironments.

The paper shows that epithelial-mesenchymal plasticity is regulated by inflammatory signalling networks linked to cell morphology through changes in microtubule and nuclear organization.