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Single-cell transcriptomic prioritization of SQLE and functional validation of SQLE inhibition in colorectal cancer cells
By Sun G, Wang T, Tang X and 9 others.
Abstract
Abstract Objective: To analyze treatment-associated epithelial cell-state changes in colorectal cancer (CRC) and identify candidate genes within lipid/cholesterol metabolic programs.
Methods
CNP0004138 and GSE254249 were used as discovery cohorts. Epithelial cells were extracted for re-clustering, subtype annotation and differential expression analysis. Genes with concordant changes across cohorts underwent GO/KEGG enrichment and protein-protein interaction (PPI) network analyses. External datasets were used to assess chemotherapy-related expression direction (GSE200407), SQLE expression in normal and tumor tissues (GSE87211 and GSE44076), and overall survival (GSE17536). HCT116 cells were treated with the SQLE inhibitor terbinafine and evaluated using CCK-8, EdU immunofluorescence and colony formation assays.