Comparison of single cell and single nucleus RNASeq approaches in mouse lung

16,110 single nucleus and 11,934 single cell transcriptomes from control C57Bl/6J mice were analyzed. We noted similar gene detection rates by both techniques when using intronic and exonic reads for mapping. snRNASeq improves dissociation bias and enhances epithelial cell detection compared with scRNASeq, and eliminates artifactual gene expression. 10X Chromium (3' v3 kits) was used to profile isolated lung cells and nuclei本研究对来自对照C57Bl/6J小鼠的16110个单细胞核转录组与11934个单细胞转录组进行了分析。本研究观察到，当采用内含子与外显子测序读段进行比对时，两种技术的基因检出率相近。相较于单细胞RNA测序（scRNASeq），单细胞核RNA测序（snRNASeq）可改善解离偏倚，提升上皮细胞检出率，并消除人工假象性基因表达。本研究使用10X Chromium（3'端v3试剂盒）对分离获取的肺组织细胞与细胞核开展转录组分析。