4.5 Article

Single-cell transcriptomic heterogeneity between conduit and resistance mesenteric arteries in rats

Journal

PHYSIOLOGICAL GENOMICS
Volume 55, Issue 4, Pages 179-193

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/physiolgenomics.00126.2022

Keywords

endothelial; heterogeneity; mesenteric; single -cell RNAseq; smooth muscle

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The study investigated the differences in gene expression and metabolic pathways between endothelial cells and vascular smooth muscle cells in large and small arteries using single-cell RNA sequencing. The results revealed differentially expressed genes and pathways, leading to a better understanding of phenotypic heterogeneity in different types of blood vessels.
The endothelium contains morphologically similar cells throughout the vasculature, but individual cells along the length of a single vascular tree or in different regional circulations function dissimilarly. When observations made in large arteries are extrapolated to explain the function of endothelial cells (ECs) in the resistance vasculature, only a fraction of these observations are consistent between artery sizes. To what extent endothelial (EC) and vascular smooth muscle cells (VSMCs) from different arteriolar segments of the same tissue differ phenotypically at the single-cell level remains unknown. Therefore, single-cell RNA-seq (10x Genomics) was performed using a 10X Genomics Chromium system. Cells were enzymatically digested from large (>300 lm) and small (<150 lm) mesenteric arteries from nine adult male Sprague-Dawley rats, pooled to create six samples (3 rats/ sample, 3 samples/group). After normalized integration, the dataset was scaled before unsupervised cell clustering and cluster visualization using UMAP plots. Differential gene expression analysis allowed us to infer the biological identity of different clusters. Our analysis revealed 630 and 641 differentially expressed genes (DEGs) between conduit and resistance arteries for ECs and VSMCs, respectively. Gene ontology analysis (GO-Biological Processes, GOBP) of scRNA-seq data discovered 562 and 270 pathways for ECs and VSMCs, respectively, that differed between large and small arteries. We identified eight and seven unique ECs and VSMCs subpopulations, respectively, with DEGs and pathways identified for each cluster. These results and this dataset allow the discovery and support of novel hypotheses needed to identify mechanisms that determine the phenotypic heterogeneity between conduit and resistance arteries.

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