转录组
核糖核酸
计算生物学
单细胞分析
单细胞测序
生物
RNA序列
细胞
基因
遗传学
基因表达
表型
外显子组测序
作者
Angela Ruohao Wu,Norma Neff,Tomer Kalisky,Piero Dalerba,Barbara Treutlein,Michael E. Rothenberg,Francis M. Mburu,Gary L. Mantalas,Sopheak Sim,Michael F. Clarke,Stephen R. Quake
出处
期刊:Nature Methods
[Springer Nature]
日期:2013-10-20
卷期号:11 (1): 41-46
被引量:690
摘要
A systematic evaluation of various single-cell RNA-seq approaches reports their sensitivity, accuracy and reproducibility and establishes the high performance of a high-throughput microfluidic method. Interest in single-cell whole-transcriptome analysis is growing rapidly, especially for profiling rare or heterogeneous populations of cells. We compared commercially available single-cell RNA amplification methods with both microliter and nanoliter volumes, using sequence from bulk total RNA and multiplexed quantitative PCR as benchmarks to systematically evaluate the sensitivity and accuracy of various single-cell RNA-seq approaches. We show that single-cell RNA-seq can be used to perform accurate quantitative transcriptome measurement in individual cells with a relatively small number of sequencing reads and that sequencing large numbers of single cells can recapitulate bulk transcriptome complexity.
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