Single-cell RNA-Seq reports the mRNA abundances of every gene in the genome in many individual cells in a single experiment. In collaboration with Jay Shendure’s lab and scientists at Illumina, we recently developed sci-RNA-seq, which uses combinatorial cellular indexing, captures transcriptomes for tens of thousands of cells in a single experiment for a fraction of the cost of alternative methods. The technique scales sublinearly in time and cost, enabling the profiling of all the cells in whole animals.

Papers

On the design of CRISPR-based single-cell molecular screens

Comprehensive single-cell transcriptional profiling of a multicellular organism