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Massively parallel digital transcriptional profiling of single cells

机译:单细胞的大规模并行数字转录谱

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Characterizing the transcriptome of individual cells is fundamental to understanding complex biological systems. We describe a droplet-based system that enables 3′ mRNA counting of tens of thousands of single cells per sample. Cell encapsulation, of up to 8 samples at a time, takes place in ~6?min, with ~50% cell capture efficiency. To demonstrate the system’s technical performance, we collected transcriptome data from ~250k single cells across 29 samples. We validated the sensitivity of the system and its ability to detect rare populations using cell lines and synthetic RNAs. We profiled 68k peripheral blood mononuclear cells to demonstrate the system’s ability to characterize large immune populations. Finally, we used sequence variation in the transcriptome data to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cells isolated from transplant patients.
机译:表征单个细胞的转录组是了解复杂生物系统的基础。我们描述了一个基于液滴的系统,该系统能够对每个样品进行数以万计的单细胞的3'mRNA计数。一次最多8个样品的细胞包囊在〜6?min内进行,细胞捕获效率为〜50%。为了证明该系统的技术性能,我们从29个样本的约250k单细胞中收集了转录组数据。我们验证了该系统的敏感性及其使用细胞系和合成RNA检测稀有种群的能力。我们分析了68k个外周血单核细胞,以证明该系统具有表征大量免疫种群的能力。最后,我们在转录组数据中使用序列变异来确定宿主和供体嵌合体,以单细胞分辨率从分离自移植患者的骨髓单核细胞中分离出宿主。

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