Dataset Information

Single-cell RNA sequencing of mouse brain and lung vascular and vessel-associated cell types.

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.

SUBMITTER: He L

PROVIDER: S-EPMC6103262 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Publications

Single-cell RNA sequencing of mouse brain and lung vascular and vessel-associated cell types.

He Liqun L Vanlandewijck Michael M Mäe Maarja Andaloussi MA Andrae Johanna J Ando Koji K Del Gaudio Francesca F Nahar Khayrun K Lebouvier Thibaud T Laviña Bàrbara B Gouveia Leonor L Sun Ying Y Raschperger Elisabeth E Segerstolpe Åsa Å Liu Jianping J Gustafsson Sonja S Räsänen Markus M Zarb Yvette Y Mochizuki Naoki N Keller Annika A Lendahl Urban U Betsholtz Christer C

Scientific data 20180821

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 dist ...[more]

PMID: 30129931

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Project description:Even though the mother and the fetus of placental mammals are immunologically non-self with respect to one other, mutual exchange of small numbers of cells between them is known to occur. Maternal cells entering the fetus, called maternal microchimeric cells (MMc cells), are thought to be involved in different physiological phenomena, such as establishing immune tolerance, tissue repair, and the pathogenesis or deterioration of some inflammatory diseases and congenital malformations. While specific MMc cell types have been reported as associated with these phenomena, the contribution of MMc cells to these different outcomes remains unknown. As one possibility, we hypothesized that different embryos have differing repertoires of MMc cell types, leading to or biasing embryos toward different fates. To date, no studies have succeeded in identifying the MMc cell type repertoire of a single embryo. Accordingly, here, we isolated MMc cells from whole mouse embryos, determined their types, and analyzed their MMc cell type variability. By combining our previously established, whole-embryonic MMc isolation method with single-cell RNA sequencing, we successfully estimated the cell type repertoires of MMc cells isolated from 26 mouse embryos. The majority of MMc cells were immune-related cells, such as myeloid cells and granulocytes. We also detected stem cell-like MMc cells expressing proliferation marker genes and terminally differentiated cells. As hypothesized, we noted statistically significant inter-individual variation in the proportion of immune-related cells in the different embryos. We here successfully estimated MMc cell types in individual whole mouse embryos. The proportion of immune-related cells significantly differed among the individual embryos, suggesting that the variations are one of the potential mechanisms underlying the differing MMc-related physiological phenomena in offspring. These findings provide insight into cell-level epigenetics by maternal cells.

Dataset Information

Single-cell RNA sequencing of mouse brain and lung vascular and vessel-associated cell types.

Publications

Single-cell RNA sequencing of mouse brain and lung vascular and vessel-associated cell types.

Similar Datasets

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