Functional Genomic Analysis using the CellRaft Technology for Cancer Therapeutics Research

Functional genomic analysis provides a connection between cellular phenotypes, such as drug responsiveness, and their underlying genomic precursors, such as sequence variation or differential gene expression.

In this RaftNote we present data from published work using the CellRaft Technology to couple sophisticated cellular phenotypes with translational molecular data. Welch et al. (2016) reported transcriptomic analysis of pancreatic cancer cells with differential susceptibilities to the small molecule anti-tumor proliferation drug, gemcitabine. Also, Attayek et al., (2017) analyzed T-cell receptor sequences after screening for target cell cytotoxicity.

Both studies demonstrate the power of the CellRaft technology for examining complex phenotypes, such as drug sensitivity and cytotoxic activity of T-lymphocytes, and linking these phenotypes with molecular data, such as full transcriptomics or targeted T-cell receptor sequencing. Today, using the CellRaft AIR™ System, investigators continue to pair functional phenotypic data with various molecular read-outs.