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.
