Here we present a compendium of single-cell transcriptomic data from the model organism Mus musculus that comprises more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal gene expression in poorly characterized cell populations and enable the direct and controlled comparison of gene expression in cell types that are shared between tissues, such as T lymphocytes and endothelial cells from different anatomical locations. Two distinct technical approaches were used for most organs: one approach, microfluidic droplet-based 3′-end counting, enabled the survey of thousands of cells at relatively low coverage, whereas the other, full-length transcript analysis based on fluorescence-activated cell sorting, enabled the characterization of cell types with high sensitivity and coverage. The cumulative data provide the foundation for an atlas of transcriptomic cell biology. A ‘mouse atlas’, comprising single-cell transcriptomic data from more than 100,000 cells from 20 organs and tissues, has been created as a resource for cell biology.

中文翻译：

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20 个小鼠器官的单细胞转录组学创建了小鼠白板

在这里，我们展示了来自模式生物小家鼠（Mus musculus）的单细胞转录组数据概要，该数据包含来自 20 个器官和组织的 100,000 多个细胞。这些数据代表了细胞生物学的新资源，揭示了特征不明的细胞群中的基因表达，并能够对组织之间共享的细胞类型（例如来自不同解剖位置的 T 淋巴细胞和内皮细胞）的基因表达进行直接和受控的比较。大多数器官使用两种不同的技术方法：一种方法是基于微流体液滴的 3' 端计数，能够以相对较低的覆盖率调查数千个细胞，而另一种方法是基于荧光激活细胞的全长转录本分析分选，能够以高灵敏度和覆盖度表征细胞类型。累积的数据为转录组细胞生物学图谱奠定了基础。“小鼠图谱”包含来自 20 个器官和组织的 100,000 多个细胞的单细胞转录组数据，已被创建为细胞生物学的资源。