Comparison of single cell and single nucleus RNASeq approaches in mouse lung
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145998
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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
创建时间：
2022-10-04
