In her talk, Daniela will present a novel multiplexed single-cell RNA-seq pharmacotranscriptomics pipeline designed to systematically map drug responses and resistance mechanisms in tumor cells. The approach combines HTO-based cell barcoding with high-throughput 96-plex drug screening, enabling simultaneous profiling of gene expression responses to multiple compounds at single-cell resolution, significantly reducing the cost of scRNA-seq runs. The pipeline can be applied to homogeneous and heterogeneous cell populations, using both cell lines and primary tumor-derived samples, enabling characterization of drug responses in multiple cell subtypes in a single sample.
This work demonstrates how scalable, transcriptome-wide single-cell analysis of drug-treated samples can identify both actionable drug vulnerabilities and resistance phenotypes. The platform offers a powerful tool for personalized drug response profiling and supports the development of precision combination therapies in cancer research.