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SCITO
SCITO-seq: single-cell combinatorial indexed cytometry sequencing
ID:30660Uploader:BioTreasury
2022.01.19
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Abstract
The development of DNA-barcoded antibodies to tag cell surface molecules has enabled the use of droplet-based single-cell sequencing (dsc-seq) to profile protein abundances from thousands of cells simultaneously. As compared to flow and mass cytometry, the high per cell cost of current dsc-seq-based workflows precludes their use in clinical applications and large-scale pooled screens. Here, we introduce SCITO-seq, a workflow that uses splint oligonucleotides (oligos) to enable combinatorially indexed dsc-seq of DNA-barcoded antibodies from over 105 cells per reaction using commercial microfluidics. By encoding sample barcodes into splint oligos, we demonstrate that multiplexed SCITO-seq produces reproducible estimates of cellular composition and surface protein expression comparable to those from mass cytometry. We further demonstrate two modified splint oligo designs that extend SCITO-seq to achieve compatibility with commercial DNA-barcoded antibodies and simultaneous expression profiling of the transcriptome and surface proteins from the same cell. These results demonstrate SCITO-seq as a flexible and ultra-high-throughput platform for sequencing-based single-cell protein and multimodal profiling.
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Publication
SCITO-seq: single-cell combinatorial indexed cytometry sequencing
Byungjin Hwang,David S. Lee,Whitney Tamaki,Yang Sun,Anton Ogorodnikov,George C. Hartoularos,Aidan Winters,Bertrand Z. Yeung,Kristopher L. Nazor,Yun S. Song,Eric D. Chow,Matthew H. Spitzer,Chun Jimmie YeNature Methods. 2021
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Tag
Proteomics
Genomics
Molecular interactions, pathways and networks
Cell biology
Operating system
LINUX
LINUX
WINDOWS
WINDOWS
MAC
MAC
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