Single-cell RNA-seq

Until recently, genomic analyses have been performed on heterogeneous populations of cells and thus observed signals represented a combination of the unique characteristics of each individual cell. In the last few years, single-cell techniques combined with high-throughput technologies have revolutionized the field, allowing for high-dimensional analysis of isolated subpopulations of individual cells and enabling an unprecedented level of granularity in characterizing gene expression changes in disease models. Researchers can now address core challenges that bar advancement in the field of onco-immunology, enabling the mapping of the variable spectrum of immune, stromal, and other cell states and ascertaining which of these features predict or explain clinical responses to anticancer agents.