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Updated: Aug 7, 2026
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Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
Published on: March 14, 2022
Identifying Pulmonary Endothelial Cell Zonation From Single-Cell Transcriptomics
Stefanie N Sveiven1, Carsten Knutsen1, Fabio Zanini2,3,4
1Division of Critical Care Medicine, Department of Pediatrics, University of California San Francisco, CA (S.N.S., C.K., C.M.A.).
Arteriosclerosis, Thrombosis, and Vascular Biology
|August 6, 2026
Summary
Researchers developed a new method to map lung endothelial cells (EC) along the pulmonary vascular tree using gene expression data. This framework assigns EC to vessels of specific sizes, offering insights into vascular diseases.
Area of Science:
- Pulmonary vascular biology
- Transcriptomics
- Single-cell analysis
Background:
- The lung vasculature forms a complex network from the pulmonary artery to capillaries and veins.
- Lung endothelial cells (EC) are exposed to varying physiological conditions along this continuum.
- Transcriptomic data from single-cell RNA sequencing has revealed EC subsets but lacks resolution on vessel size and capillary polarity.
Purpose of the Study:
- To develop an analytical framework for delineating transcriptomic gradients in lung EC.
- To assign vessel-size scores to categorize EC along the vascular continuum.
- To apply this framework to diverse datasets for understanding lung vascular heterogeneity.
Main Methods:
- Created an EC-enriched single-cell RNA sequencing dataset from P3 mouse lungs.
- Utilized diffusion pseudotime to establish transcriptomic gradients and vessel-size scores.
- Validated gene expression patterns with fluorescence in situ hybridization.
Main Results:
- Categorized capillary, arterial, and venous EC based on arterio-venous zonation and vessel size.
- Distinguished between large arteries/veins and arterioles/venules.
- Revealed arterio-venous polarity within capillaries and identified vessel-size-specific EC proliferation after injury.
Conclusions:
- Developed a novel framework to map EC along the pulmonary vascular tree using gene expression data.
- Enables inference of spatial information and vessel size from transcriptomic data alone.
- Provides mechanistic insights into pulmonary vascular diseases affecting specific vessel segments.
