E-resources
Peer reviewed
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Sheng, Kuanwei; Cao, Wenjian; Niu, Yichi; Deng, Qing; Zong, Chenghang
Nature methods, 03/2017, Volume: 14, Issue: 3Journal Article
The quantification of transcriptional variation in single cells, particularly within the same cell population, is currently limited by the low sensitivity and high technical noise of single-cell RNA-seq assays. We report multiple annealing and dC-tailing-based quantitative single-cell RNA-seq (MATQ-seq), a highly sensitive and quantitative method for single-cell sequencing of total RNA. By systematically determining technical noise, we show that MATQ-seq captures genuine biological variation between whole transcriptomes of single cells.
