Single-cell RNA sequencing (scRNA-seq) technologies are poised to reshape the current cell-type classification system. However, a transcriptome-based single-cell atlas has not been achieved for complex mammalian systems. Here, we developed Microwell-seq, a high-throughput and low-cost scRNA-seq platform using simple, inexpensive devices. Using Microwell-seq, we analyzed more than 400,000 single cells covering all of the major mouse organs and constructed a basic scheme for a mouse cell atlas (MCA). We reveal a single-cell hierarchy for many tissues that have not been well characterized previously. We built a web-based "single-cell MCA analysis" pipeline that accurately defines cell types based on single-cell digital expression. Our study demonstrates the wide applicability of the Microwell-seq technology and MCA resource.

中文翻译：

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通过Microwell-Seq绘制小鼠细胞图谱。

单细胞RNA测序（scRNA-seq）技术已准备好重塑当前的细胞类型分类系统。但是，对于复杂的哺乳动物系统，尚未实现基于转录组的单细胞图谱。在这里，我们使用简单，便宜的设备开发了Microwell-seq，一种高通量，低成本的scRNA-seq平台。使用Microwell-seq，我们分析了覆盖所有主要小鼠器官的400,000多个单细胞，并构建了小鼠细胞图谱（MCA）的基本方案。我们揭示了以前没有很好表征的许多组织的单细胞层次结构。我们建立了一个基于Web的“单细胞MCA分析”管道，该管道可根据单细胞数字表达准确定义细胞类型。我们的研究证明了微孔测序技术和MCA资源的广泛适用性。