The more than 1000 single-cell transcriptomics studies that have been published to date constitute a valuable and vast resource for biological discovery. While various ‘atlas’ projects have collated some of the associated datasets, most questions related to specific tissue types, species or other attributes of studies require identifying papers through manual and challenging literature search. To facilitate discovery with published single-cell transcriptomics data, we have assembled a near exhaustive, manually curated database of single-cell transcriptomics studies with key information: descriptions of the type of data and technologies used, along with descriptors of the biological systems studied. Additionally, the database contains summarized information about analysis in the papers, allowing for analysis of trends in the field. As an example, we show that the number of cell types identified in scRNA-seq studies is proportional to the number of cells analysed.

中文翻译：

---

精心策划的数据库揭示了单细胞转录组学的趋势

迄今为止已发表的 1000 多项单细胞转录组学研究构成了生物发现的宝贵而庞大的资源。虽然各种“地图集”项目已经整理了一些相关的数据集，但与特定组织类型、物种或其他研究属性相关的大多数问题都需要通过手动和具有挑战性的文献搜索来识别论文。为了促进已发表的单细胞转录组学数据的发现，我们组装了一个近乎详尽的、手动策划的单细胞转录组学研究数据库，其中包含关键信息：所用数据类型和技术的描述，以及所研究生物系统的描述。此外，该数据库包含有关论文中分析的汇总信息，可用于分析该领域的趋势。举个例子，