Back to Search
Start Over
Single-Cell Transcriptional Profiling of Aortic Endothelium Identifies a Hierarchy from Endovascular Progenitors to Differentiated Cells.
- Source :
-
Cell reports [Cell Rep] 2019 May 28; Vol. 27 (9), pp. 2748-2758.e3. - Publication Year :
- 2019
-
Abstract
- The cellular and molecular profiles that govern the endothelial heterogeneity of the circulatory system have yet to be elucidated. Using a data-driven approach to study the endothelial compartment via single-cell RNA sequencing, we characterized cell subpopulations within and assigned them to a defined endothelial hierarchy. We show that two transcriptionally distinct endothelial populations exist within the aorta and, using two independent trajectory analysis methods, confirm that they represent transitioning cells rather than discrete cell types. Gene co-expression analysis revealed crucial regulatory networks underlying each population, including significant metabolic gene networks in progenitor cells. Using mitochondrial activity assays and phenotyping, we confirm that endovascular progenitors display higher mitochondrial content compared to differentiated endothelial cells. The identities of these populations were further validated against bulk RNA sequencing (RNA-seq) data obtained from normal and tumor-derived vasculature. Our findings validate the heterogeneity of the aortic endothelium and previously suggested hierarchy between progenitor and differentiated cells.<br /> (Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Animals
Aorta cytology
Endothelium, Vascular cytology
Female
Gene Expression Profiling
Gene Regulatory Networks
Mice
Mice, Inbred C57BL
Stem Cells cytology
Stem Cells metabolism
Aorta metabolism
Biomarkers metabolism
Cell Differentiation
Cell Lineage
Endothelium, Vascular metabolism
Single-Cell Analysis methods
Transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 2211-1247
- Volume :
- 27
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Cell reports
- Publication Type :
- Academic Journal
- Accession number :
- 31141696
- Full Text :
- https://doi.org/10.1016/j.celrep.2019.04.102