Cell-to-cell variability in any molecular dimension from genome to metabolome is a hallmark of many cancers. Single-cell multi-omics tools provide a powerful technology to simultaneously resolve heterogeneity across multiple biomolecular layers and to discover new connectivity between the genome and its functional outputs. We are developing a suite of microchip-based tools for massively parallel analysis of the genome, transcriptome, functional proteins and metabolites at the single cell level. Examples include the novel Beads-on-Barcode array (BOBarray) with a molecular barcoding approach for high-throughput simultaneous single-cell quantification of genome-wide expression and functional proteins using next generation sequencing, as well as the integrated proteomic/metabolic single cell chips for simultaneous quantification of functional proteins and small molecule metabolites in single cells.
Computational analysis of the high-dimensional single cell data set