Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92037, USA.
Department of Physics, University of California, San Diego, La Jolla, CA 92037, USA.
Neuron. 2021 Jan 6;109(1):11-26. doi: 10.1016/j.neuron.2020.12.010.
Single-cell sequencing technologies, including transcriptomic and epigenomic assays, are transforming our understanding of the cellular building blocks of neural circuits. By directly measuring multiple molecular signatures in thousands to millions of individual cells, single-cell sequencing methods can comprehensively characterize the diversity of brain cell types. These measurements uncover gene regulatory mechanisms that shape cellular identity and provide insight into developmental and evolutionary relationships between brain cell populations. Single-cell sequencing data can aid the design of tools for targeted functional studies of brain circuit components, linking molecular signatures with anatomy, connectivity, morphology, and physiology. Here, we discuss the fundamental principles of single-cell transcriptome and epigenome sequencing, integrative computational analysis of the data, and key applications in neuroscience.
单细胞测序技术,包括转录组和表观基因组分析,正在改变我们对神经回路细胞构建块的理解。通过直接测量数千到数百万个单个细胞中的多个分子特征,单细胞测序方法可以全面描述脑细胞类型的多样性。这些测量揭示了塑造细胞身份的基因调控机制,并深入了解了脑细胞群体之间的发育和进化关系。单细胞测序数据可以帮助设计针对大脑回路成分的靶向功能研究工具,将分子特征与解剖结构、连接性、形态和生理学联系起来。在这里,我们讨论了单细胞转录组和表观基因组测序的基本原理、数据的综合计算分析以及在神经科学中的关键应用。