单细胞转录组高通量测序分析新进展

doi:10.3724/SP.J.1005.2014.1069

遗传 ›› 2014, Vol. 36 ›› Issue (11): 1069-1076.doi: 10.3724/SP.J.1005.2014.1069

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单细胞转录组高通量测序分析新进展

文路, 汤富酬

北京大学生命科学学院生物动态光学成像中心,教育部细胞增殖与分化重点实验室,北京 100871

收稿日期:2014-08-27 出版日期:2014-11-20 发布日期:2014-10-28
作者简介:文路,博士,助理研究员,研究方向：单细胞分析,基因组学。
基金资助:
国家自然科学基金项目(编号：31271543)资助

Recent progress in single-cell RNA-Seq analysis

Lu Wen, Fuchou Tang

Biodynamic Optical Imaging Center, College of Life Sciences, Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Peking University, Beijing 100871, China

Received:2014-08-27 Online:2014-11-20 Published:2014-10-28

摘要/Abstract

摘要： 细胞异质性是生物组织的普遍特征。常规转录组测序(RNA-Seq)技术需要上万个细胞,所测结果实际上是一群细胞基因表达的平均值,所以难以鉴别细胞之间基因表达的异质性。单细胞RNA-Seq技术的分辨率精确至单个细胞,为辨别异质性群体中各种细胞类型的转录组特征提供了有力的工具。近年来单细胞RNA-Seq技术发展迅速,在方法学上包括cDNA扩增方法的多样化、对灵敏度和技术噪声的定量分析、浅覆盖高通量单细胞RNA-Seq方法和原位RNA-Seq技术等;在技术应用方面应用范围从早期胚胎发育扩大到组织器官发育、免疫和肿瘤等多个领域。文章对单细胞RNA-Seq在方法学和技术应用两方面的研究进展进行了详细阐述。

关键词: 单细胞分析, 转录组, 高通量测序, RNA-Seq, 异质性

Abstract: Cell heterogeneity is a general feature of biological tissues. Standard transcriptome analysis approaches require tens of thousands of cells to provide an average view of gene expression and ignore the information of gene expression heterogeneity. The single-cell RNA-Seq technologies profile gene expression at the single-cell level and serve as powerful tools to identify distinct phenotypic cell types within a heterogeneous population. The single-cell RNA-Seq technologies have been developed rapidly in recent years. The methodological progress includes a variety of cDNA amplification methods, the quantitative analysis of the sensitivity and noise of the technologies, and the development of the low-coverage high-throughput single-cell RNA-Seq and the in situ RNA-Seq technologies. Furthermore, the scope of application is extended from early embryonic development to tissue and organ development, immunology and oncology. In this review, we discuss recent progress in methodology and applications of the single-cell RNA-Seq technologies.

Key words: single-cell analysis, transcriptome, high-throughput sequencing, RNA-Seq, cell heterogeneity

文路, 汤富酬. 单细胞转录组高通量测序分析新进展[J]. 遗传, 2014, 36(11): 1069-1076.

Lu Wen, Fuchou Tang. Recent progress in single-cell RNA-Seq analysis[J]. HEREDITAS(Beijing), 2014, 36(11): 1069-1076.

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单细胞转录组高通量测序分析新进展

Recent progress in single-cell RNA-Seq analysis

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