A multimodal single-cell workflow to interrogate cellular responses to cancer therapy

Understanding the genomic landscape of cancer in single cells can be valuable for understanding tumor evolution and developing treatment regimens. This poster presents a muli-modal approach on the Tapestri Platform, where DNA, mRNA, and protein were measured in thousands of individual cells using microfluidics paired with next-generation sequencing. The results report on the relationship between genotype-to-phenotype in breast carcinoma cell lines, PBMC cell population responses to mitogenic perturbations, and imatinib impact on retinoblastoma and BCR-ABL driven leukemic cells. This study demonstrates the utility of multimodal resolution in further illuminating cellular states and biological responses in cancer cells.