计算生物学
生物
DNA测序
深度测序
多路复用
底漆(化妆品)
基因组学
RNA序列
基因
遗传学
基因组
转录组
基因表达
化学
有机化学
作者
Sean Simmons,Gila Lithwick‐Yanai,Xian Adiconis,Florian C. Oberstrass,Nika Iremadze,Kathryn Geiger-Schuller,Pratiksha I. Thakore,Chris J. Frangieh,Omer Barad,Gilad Almogy,Orit Rozenblatt–Rosen,Aviv Regev,Doron Lipson,Joshua Z. Levin
标识
DOI:10.1038/s41587-022-01452-6
摘要
Here we introduce a mostly natural sequencing-by-synthesis (mnSBS) method for single-cell RNA sequencing (scRNA-seq), adapted to the Ultima genomics platform, and systematically benchmark it against current scRNA-seq technology. mnSBS uses mostly natural, unmodified nucleotides and only a low fraction of fluorescently labeled nucleotides, which allows for high polymerase processivity and lower costs. We demonstrate successful application in four scRNA-seq case studies of different technical and biological types, including 5' and 3' scRNA-seq, human peripheral blood mononuclear cells from a single individual and in multiplex, as well as Perturb-Seq. Benchmarking shows that results from mnSBS-based scRNA-seq are very similar to those using Illumina sequencing, with minor differences in results related to the position of reads relative to annotated gene boundaries, owing to single-end reads of Ultima being closer to gene ends than reads from Illumina. The method is thus compatible with state-of-the-art scRNA-seq libraries independent of the sequencing technology. We expect mnSBS to be of particular utility for cost-effective large-scale scRNA-seq projects.
科研通智能强力驱动
Strongly Powered by AbleSci AI