Anthropology and Human Genomics, Department of Biology II, Ludwig-Maximilians University, Großhaderner Str. 2, Martinsried, Germany.
Brief Funct Genomics. 2018 Jul 1;17(4):220-232. doi: 10.1093/bfgp/ely009.
Single-cell RNA sequencing (scRNA-seq) is currently transforming our understanding of biology, as it is a powerful tool to resolve cellular heterogeneity and molecular networks. Over 50 protocols have been developed in recent years and also data processing and analyzes tools are evolving fast. Here, we review the basic principles underlying the different experimental protocols and how to benchmark them. We also review and compare the essential methods to process scRNA-seq data from mapping, filtering, normalization and batch corrections to basic differential expression analysis. We hope that this helps to choose appropriate experimental and computational methods for the research question at hand.
单细胞 RNA 测序 (scRNA-seq) 目前正在改变我们对生物学的理解，因为它是解析细胞异质性和分子网络的强大工具。近年来已经开发了 50 多种方案，并且数据处理和分析工具也在快速发展。在这里，我们回顾了不同实验方案的基本原理以及如何对其进行基准测试。我们还回顾和比较了从映射、过滤、标准化和批次校正到基本差异表达分析处理 scRNA-seq 数据的基本方法。我们希望这有助于为当前的研究问题选择合适的实验和计算方法。
