Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Integrative Molecular and Biomedical Sciences Graduate Program, Baylor College of Medicine, Houston, Texas, USA.
Nat Methods. 2017 Mar;14(3):267-270. doi: 10.1038/nmeth.4145. Epub 2017 Jan 16.
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.
单细胞转录变异性的定量分析，特别是在同一细胞群体内，目前受到单细胞 RNA-seq 检测灵敏度低和技术噪声高的限制。我们报告了基于多次退火和 dC 加尾的定量单细胞 RNA-seq（MATQ-seq），这是一种高度敏感和定量的总 RNA 单细胞测序方法。通过系统地确定技术噪声，我们表明 MATQ-seq 可以捕获单细胞全转录组之间真实的生物学变异性。
