Seurat R package was employed to analyze and visualize the scRNA-seq data.37 (link) Briefly, we identified high-variable genes, capturing heterogeneity and key regulatory factors. Next, principal component analysis reduced dimensionality, enabling visualization of cellular heterogeneity, and identifying cell clusters based on gene expression patterns.
Elucidating CD276-Mediated Immune Escape in ESCC
Seurat R package was employed to analyze and visualize the scRNA-seq data.37 (link) Briefly, we identified high-variable genes, capturing heterogeneity and key regulatory factors. Next, principal component analysis reduced dimensionality, enabling visualization of cellular heterogeneity, and identifying cell clusters based on gene expression patterns.
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Corresponding Organization : Shanghai Jiao Tong University
Other organizations : Sun Yat-sen University Cancer Center, Shenzhen University
Variable analysis
- Genotype of mice: Epithelial conditional knockout CD276 (K14CreER, Cd276flox/flox) mice and control mice (Cd276wt/wt)
- Immune escape in ESCC
- Enzymatic digestion with mouse Tumor Dissociation Kit at 37 °C for 45 min using gentleMACS Dissociator
- Chromium Single Cell 3' v3 (10× Genomics) for scRNA-seq library preparation
- Positive control: Not explicitly mentioned
- Negative control: Cd276wt/wt mice
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