Nature Protocols - CellChat enables systematic inference, quantitative analysis and intuitive visualization of cell–cell communication from single-cell transcriptomic data, as well as...

Recent advances in single-cell sequencing technologies offer an opportunity to explore cell-cell com

Nature Protocols - CellChat enables systematic inference, quantitative analysis and intuitive visualization of cell–cell communication from single-cell transcriptomic data, as well as...

Accorsi et al. show that the apple snail Pomacea canaliculata has eyes similar to humans and can fully regenerate them. They then developed genetic tools to establish these snails as a novel model sys...

Recent advances in single-cell sequencing technologies offer an opportunity to explore cell-cell com

Background Oral squamous cell carcinoma (OSCC) is one of the most frequent types of head and neck tumor. Keratinocytes play a crucial part in tumor cell growth but their role in OSCC remains unknown. Methods We obtained single-cell RNA sequencing (scRNA-seq) data and bulk RNA sequencing data of OSCC from the Gene Expression Omnibus (GEO) database and utilized the Seurat package for quality control, downscaling, and clustering of the scRNA-seq data. The CellChat package was utilized to develop a ligand-receptor network of keratinocytes. Subsequently, high-dimensional weighted gene co-expression network analysis (hdWGCNA) and differential expression analysis were employed to identify keratinocyte-related gene modules and obtain hub genes. The predictive value of the hub genes was assessed by constructing a diagnostic model, and the CIBERSORT and ESTIMATE algorithms were utilized to analyze the correlation between immune infiltration and the diagnostic model. Finally, the mRNA expressions of the screened genes were measured, and their effects on the proliferation, migration, and invasion ability of OSCC cells were explored using in vitro models. Results We identified eight major cellular subpopulations including T cells and keratinocytes. Cellular communication revealed that keratinocytes may have close mutual communication with macrophages, fibroblasts, and endothelial cells. The hdWGCNA screening classified nine keratinocyte-related modules and 50 hub genes were extracted, among them KRT6B, KRT16, CSTB, and CSTA were identified as differentially expressed keratinocyte-related genes. A nomogram was developed, and KRT16, CSTA, and CSTB were determined as highly effective genes for the diagnosis of OSCC. Immune infiltration analysis revealed that StromalScore, ImmuneScore and ESTIMATEScore, were negatively linked to CSTA and CSTB but positively correlated with KRT16. Finally, in vitro experiments showed that the viability, migration, and invasion of OSCC cells were markedly suppressed after knockdown of KRT16. Conclusion Our study provided novel biomarkers targeting keratinocytes for the treatment of OSCC.