Department of Haematology, Jeffrey Cheah Biomedical Centre, Puddicombe Way, Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
Methods Mol Biol. 2021;2308:301-337. doi: 10.1007/978-1-0716-1425-9_22.
The study of hematopoiesis has been revolutionized in recent years by the application of single-cell RNA sequencing technologies. The technique coupled with rapidly developing bioinformatic analysis has provided great insight into the cell type compositions of many populations previously defined by their cell surface phenotype. Moreover, transcriptomic information enables the identification of individual molecules and pathways which define novel cell populations and their transitions including cell lineage decisions. Combining single-cell transcriptional profiling with molecular perturbations allows functional analysis of individual factors in gene regulatory networks and better understanding of the earliest stages of malignant transformation. In this chapter we describe a comprehensive protocol for scRNA-Seq analysis of the mouse bone marrow, using both plate-based (low throughput) and droplet-based (high throughput) methods. The protocol includes instructions for sample preparation, an antibody panel for flow cytometric purification of hematopoietic progenitors with index sorting for plate-based analysis or in bulk for droplet-based methods. The plate-based protocol described in this chapter is a combination of the Smart-Seq2 and mcSCRB-Seq protocols, optimized in our laboratory. It utilizes off-the-shelf reagents for cDNA preparation, is amenable to automation using a liquid handler, and takes 4 days from preparation of the cells for sorting to producing a sequencing-ready library. The droplet-based method (using for instance the 10× Genomics platform) relies on the manufacturer's user guide and commercial reagents, and takes 3 days from isolation of the cells to the production of a library ready for sequencing.
近年来,单细胞 RNA 测序技术的应用彻底改变了造血研究。该技术与快速发展的生物信息学分析相结合,深入了解了许多以前通过细胞表面表型定义的细胞群体的细胞类型组成。此外,转录组信息能够识别定义新细胞群体及其转化的单个分子和途径,包括细胞谱系决策。将单细胞转录组谱分析与分子扰动相结合,允许对基因调控网络中的单个因素进行功能分析,并更好地理解恶性转化的早期阶段。在本章中,我们描述了一种全面的方案,用于使用基于板的(低通量)和基于液滴的(高通量)方法对小鼠骨髓进行 scRNA-Seq 分析。该方案包括样本制备说明、用于流式细胞术纯化造血祖细胞的抗体面板,带有用于基于板的分析的索引排序或用于基于液滴的方法的批量排序。本章中描述的基于板的方案是 Smart-Seq2 和 mcSCRB-Seq 方案的组合,在我们的实验室中进行了优化。它使用市售试剂进行 cDNA 制备,可通过液体处理机实现自动化,从细胞准备用于排序到产生测序就绪文库,整个过程需要 4 天。基于液滴的方法(例如使用 10× Genomics 平台)依赖于制造商的用户指南和商业试剂,从细胞分离到文库准备测序,整个过程需要 3 天。