Jun 2025 - Present
Pan-Cancer Dissection of Tumor Microenvironment Cell Communication Networks and Identification of Key Regulatory Axes
scRNA-seq / CellChat / NicheNet / CoVarnet / Spatial Transcriptomics
This project systematically dissects cell-cell communication structures across cancer types to identify conserved regulatory circuits, cancer-specific signaling axes, and communication hub populations with important topological roles.
- Built standardized single-cell RNA-seq analysis pipelines covering more than 10 cancer types to characterize tumor microenvironment composition and communication networks.
- Combined CellChat and NicheNet to identify conserved and cancer-specific ligand-receptor regulatory circuits.
- Reimplemented CoVarnet in Python and identified five modules associated with cancer development.
- Integrated spatial transcriptomics with scRNA-seq to localize high-confidence signaling niches and validate spatial co-localization among sender cells, receiver cells, and pathway activity.
- Identified communication hub populations using centrality and network-topology metrics, and linked hub-driven pathways to tumor-associated phenotypic programs.