Researchers at UCSF have developed SCITO-seq, a new workflow for single cell sequencing-based proteomics.
The use of DNA to barcode and tag antibodies has created new opportunities to use sequencing to profile the molecular properties of thousands of cells simultaneously. Furthermore, DNA-barcoded antibodies coupled with advances in microfluidics have enabled droplet-based single cell sequencing (dsc-seq) to profile the surface proteomes of cells. The major limitation of current dsc-seq workflows is the high cost associated with profiling each cell, precluding its use in applications where thousands or millions of cells are required.
Cost-effective two-step single-cell combinatorial indexing (SCI) for cellular composition profiling and analysis by dsc-seq
The inventors introduce SCITO-seq, a single cell proteomics workflow that combines split-pool indexing and commercially available dsc-seq to enable cost-effective profiling of cell surface proteins, scalable to 105-106 cells. SCITO-seq utilizes advances in droplet-based microfluidics for combinatorial indexing of antibody-derived pool and droplet barcodes to reduce library construction and sequencing costs. Protein expression profiles for cells simultaneously encapsulated in a single drop are resolved by the combinatorial index of pool and droplet barcodes. The inventors demonstrate the feasibility and scalability of SCITO-seq in mixed species experiments and by profiling peripheral blood mononuclear cells using a panel of 28 antibodies in one microfluidic reaction.
Patent Pending
single cell, single cell analysis, dsc-seq, proteomics, droplet-based single cell sequencing, microfluidics, antibody