Dharmat Rachayata, Kim Sangbae, Li Yumei, Chen Rui
Human genome sequencing center, Baylor College of Medicine, Houston, TX, USA.
Department of molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Methods Mol Biol. 2020;2092:159-186. doi: 10.1007/978-1-0716-0175-4_12.
Single-cell RNA sequencing (scRNA-seq) is an emerging technology that can address the challenge of cellular heterogeneity. In the last decade, the cost per cell has been dramatically reduced, and the throughput has been increased by 10-fold. Like many other tissues, the retina is highly heterogeneous with an estimated of over 100 subtypes of neuronal cells. Here, we describe the current techniques to perform scRNA-seq on the adult retinal tissue including retinal dissection, retinal dissociation, assessment of cell population, cDNA synthesis, library construction, and next-generation sequencing. In addition, we introduce a workflow of scRNA-seq data analysis using open-source tools.
单细胞RNA测序(scRNA-seq)是一项能够应对细胞异质性挑战的新兴技术。在过去十年中,每个细胞的成本大幅降低,通量提高了10倍。与许多其他组织一样,视网膜高度异质,估计有超过100种神经元细胞亚型。在这里,我们描述了对成年视网膜组织进行scRNA-seq的当前技术,包括视网膜解剖、视网膜解离、细胞群体评估、cDNA合成、文库构建和下一代测序。此外,我们介绍了使用开源工具进行scRNA-seq数据分析的工作流程。
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