Genome Biology | |
Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads | |
Tetsutaro Hayashi1  Itoshi Nikaido1  Masashi Ebisawa1  Yohei Sasagawa1  Hiroki Danno1  Kaori Tanaka1  Hitomi Takada2  Akira Kurisaki2  | |
[1] Bioinformatics Research Unit, Advanced Center for Computing and Communication, RIKEN;Laboratory of Stem Cell Technology, Graduate School of Biological Sciences, Nara Institute of Science and Technology; | |
关键词: High-throughput single-cell RNA-seq; Flow cytometry; Cell sorter; Quartz-Seq; Poly(A) tagging; Stromal vascular fraction; | |
DOI : 10.1186/s13059-018-1407-3 | |
来源: DOAJ |
【 摘 要 】
Abstract 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 from in vitro embryonic stem cells and an in vivo stromal vascular fraction with a limited number of reads.
【 授权许可】
Unknown