Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads
Posted 05 Jul 2017
bioRxiv DOI: 10.1101/159384 (published DOI: 10.1186/s13059-018-1407-3)
Posted 05 Jul 2017
High-throughput single-cell RNA-seq methods assign limited unique molecular identifier (UMI) counts as gene expression values to single cells from shallow sequence reads and detect limited gene counts. We thus developed a high-throughput single-cell RNA-seq method, Quartz-Seq2, to overcome these issues. Our improvements in the reaction steps make it possible to effectively convert initial reads to UMI counts (at a rate of 30%-50%) and detect more genes. To demonstrate the power of Quartz-Seq2, we analyzed approximately 10,000 transcriptomes in total from in vitro embryonic stem cells and an in vivo stromal vascular fraction with a limited number of reads.
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