Single-cell transcriptome sequencing: recent advances and remaining challenges.
Single-cell transcriptome sequencing: recent advances and remaining challenges.
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DOI：
10.12688/f1000research.7223.1
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发表时间：
2016-01-01
期刊：
影响因子：
--
通讯作者：
Trapnell, Cole
中科院分区：
文献类型：
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作者：
Liu, Serena;Trapnell, Cole
单细胞RNA测序方法现在是强大的和经济实用的，并正在成为高通量、高分辨率的细胞状态和动力学分析的强大工具。单细胞方法绕过了与传统的批量种群数据相关的平均伪像，对表面上同质的种群背后的细胞多样性产生了新的见解。到目前为止，单细胞RNA测序已经在解开复杂的细胞群体、重建发育轨迹和模拟转录动力学方面显示出巨大的有效性。对单细胞RNA测序吞吐量和灵敏度的持续技术改进，对单细胞数据更复杂的分析框架的开发，以及越来越多的互补性单细胞分析，都有望扩大单细胞转录图谱的用途和潜在应用。
Single-cell RNA-sequencing methods are now robust and economically practical and are becoming a powerful tool for high-throughput, high-resolution transcriptomic analysis of cell states and dynamics. Single-cell approaches circumvent the averaging artifacts associated with traditional bulk population data, yielding new insights into the cellular diversity underlying superficially homogeneous populations. Thus far, single-cell RNA-sequencing has already shown great effectiveness in unraveling complex cell populations, reconstructing developmental trajectories, and modeling transcriptional dynamics. Ongoing technical improvements to single-cell RNA-sequencing throughput and sensitivity, the development of more sophisticated analytical frameworks for single-cell data, and an increasing array of complementary single-cell assays all promise to expand the usefulness and potential applications of single-cell transcriptomic profiling.