Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), 3584 CT Utrecht, the Netherlands; University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CX Utrecht, the Netherlands; Max Planck Institute of Immunobiology and Epigenetics, D-79108 Freiburg, Germany.
Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), 3584 CT Utrecht, the Netherlands; University Medical Center Utrecht, Cancer Genomics Netherlands, 3584 CX Utrecht, the Netherlands.
Cell. 2015 Nov 5;163(4):799-810. doi: 10.1016/j.cell.2015.10.039.
Recent advances in single-cell sequencing hold great potential for exploring biological systems with unprecedented resolution. Sequencing the genome of individual cells can reveal somatic mutations and allows the investigation of clonal dynamics. Single-cell transcriptome sequencing can elucidate the cell type composition of a sample. However, single-cell sequencing comes with major technical challenges and yields complex data output. In this Primer, we provide an overview of available methods and discuss experimental design and single-cell data analysis. We hope that these guidelines will enable a growing number of researchers to leverage the power of single-cell sequencing.
单细胞测序技术的最新进展具有探索生物系统的巨大潜力,可以达到前所未有的分辨率。对单个细胞的基因组进行测序可以揭示体细胞突变,并允许研究克隆动力学。单细胞转录组测序可以阐明样本的细胞类型组成。然而,单细胞测序面临重大技术挑战,产生复杂的数据输出。在本专题介绍中,我们提供了可用方法的概述,并讨论了实验设计和单细胞数据分析。我们希望这些指南将使越来越多的研究人员能够利用单细胞测序的强大功能。