Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin 300052, China.
Integrated Cardio Metabolic Centre, Department of Medicine Huddinge, Karolinska Institutet, Blickagången 6, SE-141 57 Huddinge, Sweden.
Sci Data. 2018 Aug 21;5:180160. doi: 10.1038/sdata.2018.160.
Vascular diseases are major causes of death, yet our understanding of the cellular constituents of blood vessels, including how differences in their gene expression profiles create diversity in vascular structure and function, is limited. In this paper, we describe a single-cell RNA sequencing (scRNA-seq) dataset that defines vascular and vessel-associated cell types and subtypes in mouse brain and lung. The dataset contains 3,436 single cell transcriptomes from mouse brain, which formed 15 distinct clusters corresponding to cell (sub)types, and another 1,504 single cell transcriptomes from mouse lung, which formed 17 cell clusters. In order to allow user-friendly access to our data, we constructed a searchable database (http://betsholtzlab.org/VascularSingleCells/database.html). Our dataset constitutes a comprehensive molecular atlas of vascular and vessel-associated cell types in the mouse brain and lung, and as such provides a strong foundation for future studies of vascular development and diseases.
血管疾病是主要的死亡原因，但我们对血管的细胞成分的了解有限，包括它们基因表达谱的差异如何创造血管结构和功能的多样性。在本文中，我们描述了一个单细胞 RNA 测序（scRNA-seq）数据集，该数据集定义了小鼠脑和肺中的血管和血管相关细胞类型和亚型。该数据集包含来自小鼠脑的 3436 个单细胞转录组，这些转录组形成了 15 个不同的簇，对应于细胞（亚）类型，另外还有来自小鼠肺的 1504 个单细胞转录组，这些转录组形成了 17 个细胞簇。为了方便用户访问我们的数据，我们构建了一个可搜索的数据库（http://betsholtzlab.org/VascularSingleCells/database.html）。我们的数据集构成了小鼠脑和肺中血管和血管相关细胞类型的综合分子图谱，因此为未来的血管发育和疾病研究提供了坚实的基础。
