№ files_lp_4_process_3_087357
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Supplementary research article reporting spatial transcriptomics and single-cell RNA sequencing analyses to map cellular heterogeneity and ligand-receptor interactions at the tumor-stroma boundary in ovarian cancer.
Year: 2026
Field: Cancer research, spatial transcriptomics
Document type: Supplementary data / Methods
Authors: Sammy Ferri-Borgogno, Ying Zhu, Jianting Sheng, Jared K. Burks, Javier Gomez, Kwong Kwok Wong, Stephen T.C. Wong, Samuel C. Mok
Institution: Unspecified (data from GEO database and previous publications)
Sample: High-grade serous ovarian cancer patients
Techniques: scRNA-seq, spatial transcriptomics, UMAP, PCA, GO enrichment analysis
Data source: GEO database
Cell types analyzed: Epithelial cells, fibroblasts, endothelial cells, T cells, B cells, myeloid cells, NK cells, dendritic cells, monocytes, macrophages
Analysis period: Not specified
Methodology details: Differential expression analysis, cluster annotation, ligand-receptor interaction assessment
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