Nature. 2018 Oct;562(7727):367-372. doi: 10.1038/s41586-018-0590-4. Epub 2018 Oct 3.
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.
在这里,我们呈现了来自模式生物小鼠的单细胞转录组数据集概要,其中包含来自 20 个器官和组织的超过 10 万个细胞。这些数据代表了细胞生物学的一个新资源,揭示了在特征不明显的细胞群体中的基因表达情况,并能够直接和受控地比较组织间共享的细胞类型(如来自不同解剖位置的 T 淋巴细胞和内皮细胞)中的基因表达情况。两种不同的技术方法被用于大多数器官:一种方法是基于微流控液滴的 3'末端计数,能够以相对较低的覆盖度对数千个细胞进行调查,而另一种方法是基于荧光激活细胞分选的全长转录本分析,能够以高灵敏度和覆盖度对细胞类型进行特征描述。累积数据为转录组细胞生物学图谱提供了基础。