Abstract
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.
Highlights
Background & SummaryThe blood vasculature is built from two principal cell classes: endothelial cells, which line the blood vessel lumens, and mural cells, which surround and/or stretch along the endothelial tubes
Mural cell is a collective term for pericytes and vascular smooth muscle cells (SMCs)
Pericytes are broadly defined as the mural cells of microvessels, whereas SMCs occupy arteries and veins
Summary
The blood vasculature is built from two principal cell classes: endothelial cells, which line the blood vessel lumens, and mural cells, which surround and/or stretch along the endothelial tubes. To allow the scientific community to contribute to the further annotation of these cell types by assessing their gene expression, we provide user-friendly access to our data in the form of a searchable database http://betsholtzlab.org/ VascularSingleCells/database.html, in which any gene can be searched by acronym, and its expression across the analyzed cell types in brain and lung displayed as single-cell bar-plots as well as diagrams displaying average values for the expression in the different cell types (see Fig. 3a-d for an example) The dataset in this Data Descriptor provides a first comprehensive molecular profile of vascular and vascular-associated cell types in mouse brain, and a preliminary analysis of vascular and mesenchymal cell types in the lung, the latter complementing recently published single cell data on lung mesenchyme[5,6]. Our dataset provides a foundation for future studies of vascular development, homeostasis and diseases
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