生物
多细胞生物
转录组
计算生物学
核糖核酸
DNA测序
单细胞分析
基因
系统生物学
细胞
单细胞测序
遗传学
基因表达
表型
外显子组测序
作者
Aleksandra A. Kolodziejczyk,Jong Kim,Valentine Svensson,John C. Marioni,Sarah A. Teichmann
出处
期刊:Molecular Cell
[Elsevier]
日期:2015-05-01
卷期号:58 (4): 610-620
被引量:1295
标识
DOI:10.1016/j.molcel.2015.04.005
摘要
The differences between individual cells can have profound functional consequences, in both unicellular and multicellular organisms. Recently developed single-cell mRNA-sequencing methods enable unbiased, high-throughput, and high-resolution transcriptomic analysis of individual cells. This provides an additional dimension to transcriptomic information relative to traditional methods that profile bulk populations of cells. Already, single-cell RNA-sequencing methods have revealed new biology in terms of the composition of tissues, the dynamics of transcription, and the regulatory relationships between genes. Rapid technological developments at the level of cell capture, phenotyping, molecular biology, and bioinformatics promise an exciting future with numerous biological and medical applications. The differences between individual cells can have profound functional consequences, in both unicellular and multicellular organisms. Recently developed single-cell mRNA-sequencing methods enable unbiased, high-throughput, and high-resolution transcriptomic analysis of individual cells. This provides an additional dimension to transcriptomic information relative to traditional methods that profile bulk populations of cells. Already, single-cell RNA-sequencing methods have revealed new biology in terms of the composition of tissues, the dynamics of transcription, and the regulatory relationships between genes. Rapid technological developments at the level of cell capture, phenotyping, molecular biology, and bioinformatics promise an exciting future with numerous biological and medical applications.
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