Loi Danson S C, Yu Lei, Wu Angela R
Division of Life Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
PeerJ. 2021 Jan 15;9:e10717. doi: 10.7717/peerj.10717. eCollection 2021.
A decade since its invention, single-cell RNA sequencing (scRNA-seq) has become a mainstay technology for profiling transcriptional heterogeneity in individual cells. Yet, most existing scRNA-seq methods capture only polyadenylated mRNA to avoid the cost of sequencing non-messenger transcripts, such as ribosomal RNA (rRNA), that are usually not of-interest. Hence, there are not very many protocols that enable single-cell analysis of total RNA. We adapted a method called DASH (Depletion of Abundant Sequences by Hybridisation) to make it suitable for depleting rRNA sequences from single-cell total RNA-seq libraries. Our analyses show that our single-cell DASH (scDASH) method can effectively deplete rRNAs from sequencing libraries with minimal off-target non-specificity. Importantly, as a result of depleting the rRNA, the rest of the transcriptome is significantly enriched for detection.
自发明以来的十年间,单细胞RNA测序(scRNA-seq)已成为分析单个细胞转录异质性的主流技术。然而,大多数现有的scRNA-seq方法仅捕获聚腺苷酸化的mRNA,以避免对通常不感兴趣的非信使转录本(如核糖体RNA(rRNA))进行测序的成本。因此,能够对总RNA进行单细胞分析的方案并不多。我们采用了一种名为DASH(通过杂交耗尽丰富序列)的方法,使其适用于从单细胞总RNA-seq文库中耗尽rRNA序列。我们的分析表明,我们的单细胞DASH(scDASH)方法可以有效地从测序文库中耗尽rRNA,且脱靶非特异性最小。重要的是,由于rRNA的耗尽,转录组的其余部分在检测中得到了显著富集。