RNA-Seq Characterization of Model Cell Lines for Drug Discovery

This technical report presents RNA-seq characterization of model cell lines relevant to drug discovery. It outlines the significance of RNA sequencing in providing dynamic insights into gene activity, which is essential for understanding drug responses and toxicity. The document discusses the selection of five tumor-derived cell lines commonly used in preclinical models, detailing the methodologies for RNA extraction and sequencing. It includes a comprehensive analysis of the sequencing quality, highlighting mean Q20 and Q30 scores and filter pass rates. The report describes gene expression levels detected across samples and how these levels can differentiate cell lines based on lineage-specific mutations. Principal Component Analysis (PCA) is utilized to assess the transcriptional differences, demonstrating high reproducibility and distinct clustering of biological replicates and cell lines. The findings underscore how RNA-seq can facilitate model selection and support mechanistic interpretations in drug discovery workflows.