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Cell hashing enable sample multiplexing, multiplet identification and super-loading on droplet-based single cell RNA-sequencing platforms

ABSTRACT: Cell hashing enable sample multiplexing, multiplet identification and super-loading on droplet-based single cell RNA-sequencing platforms

PROVIDER: PRJNA423077 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8281061_1.fastq.gz	Fastqsanger.gz
	SRR8281061_2.fastq.gz	Fastqsanger.gz
	SRR8281062_1.fastq.gz	Fastqsanger.gz
	SRR8281062_2.fastq.gz	Fastqsanger.gz
	SRR8281306_1.fastq.gz	Fastqsanger.gz

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Cell hashing enable sample multiplexing, multiplet identification and super-loading on droplet-based single cell RNA-sequencing platforms

Project description:We reasoned that by using a distinct set of oligo-tagged antibodies against ubiquitously expressed proteins, we could uniquely label multiple populations of cells, multiplex them together, and use the barcoded antibody signal as a fingerprint. We refer to this approach as cellular "hashing", as our set of oligos defines a "look up table" to assign each multiplexed cell to its original sample. We demonstrate application of the technique to combine eight samples and run them simultaneously in a single droplet based scRNA-seq run. We show that cell hashtags allow sample multiplexing, confident multiplet identification and super-loading in the context of a commonly used droplet-based scRNA-seq method to drive down the per-cell cost of large-scale scRNA-seq experiments

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