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Single cell RNA sequencing technique (scRNA-Seq) obtains gene expression profiles of individual cells for analysis, as opposed to comparing averaged gene expression signals between bulk samples of cells. The ability to examine transcriptional changes between individual cells at a high resolution uniquely define rare cell populations, identify heterogeneity within cell populations, investigate cell population dynamics in depth over time, and even interrogate cell signaling pathways. ScRNA sequencing enables the exploration of the cellular heterogeneity from the various biospecimen tissues; tumor, biopsy samples and organoid cells. To profile the immune repertoire of cells, full-length (5’ UTR to constant region), paired T-cell receptor (TCR) and/or B-cell receptor (BCR) transcripts from 500-10,000 individual cells per sample can be assessed. A pool of approximately 750,000 barcodes are sampled separately to index each cell’s transcriptome and antigen specificity. It is done by partitioning thousands of cells into nanoliter-scale Gel Beads-in-emulsion (GEMs), where all generated cDNA share a common 10x Barcode. Libraries are generated and sequenced and 10x Barcodes are used to associate individual reads back to the individual partitions.
Travis Dawson (Thu,) studied this question.