Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA.
Bioinformatics Core, University of Virginia, Charlottesville, VA, 22908, USA.
Sci Rep. 2019 Mar 20;9(1):4836. doi: 10.1038/s41598-019-41235-9.
Single-cell transcriptomic methods classify new and existing cell types very effectively, but alternative approaches are needed to quantify the individual regulatory states of cells in their native tissue context. We combined the tissue preservation and single-cell resolution of laser capture with an improved preamplification procedure enabling RNA sequencing of 10 microdissected cells. This in situ 10-cell RNA sequencing (10cRNA-seq) can exploit fluorescent reporters of cell type in genetically engineered mice and is compatible with freshly cryoembedded clinical biopsies from patients. Through recombinant RNA spike-ins, we estimate dropout-free technical reliability as low as ~250 copies and a 50% detection sensitivity of ~45 copies per 10-cell reaction. By using small pools of microdissected cells, 10cRNA-seq improves technical per-cell reliability and sensitivity beyond existing approaches for single-cell RNA sequencing (scRNA-seq). Detection of low-abundance transcripts by 10cRNA-seq is comparable to random 10-cell groups of scRNA-seq data, suggesting no loss of gene recovery when cells are isolated in situ. Combined with existing approaches to deconvolve small pools of cells, 10cRNA-seq offers a reliable, unbiased, and sensitive way to measure cell-state heterogeneity in tissues and tumors.
单细胞转录组学方法可以非常有效地对新的和现有的细胞类型进行分类,但需要替代方法来量化细胞在其天然组织环境中的个体调控状态。我们将激光捕获的组织保存和单细胞分辨率与改进的预扩增程序相结合,从而能够对 10 个微分离细胞进行 RNA 测序。这种原位 10 细胞 RNA 测序(10cRNA-seq)可以利用遗传工程小鼠中细胞类型的荧光报告基因,并且与来自患者的新鲜冷冻临床活检兼容。通过重组 RNA Spike-ins,我们估计无缺失的技术可靠性低至约 250 个拷贝,每个 10 细胞反应的 50%检测灵敏度约为 45 个拷贝。通过使用微分离细胞的小池,10cRNA-seq 提高了每个细胞的技术可靠性和灵敏度,超过了现有的单细胞 RNA 测序(scRNA-seq)方法。10cRNA-seq 对低丰度转录本的检测与 scRNA-seq 数据的随机 10 细胞组相当,表明当细胞在原位分离时,不会丢失基因恢复。与现有的细胞群体去卷积方法相结合,10cRNA-seq 为测量组织和肿瘤中的细胞状态异质性提供了一种可靠、无偏和敏感的方法。