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

Author:

Anderson Jacob R.1,Morin Emily E.1ORCID,Brayer Kathryn J.1,Salbato Sophia1,Gonzalez Bosc Laura V.1ORCID,Kanagy Nancy L.1ORCID,Naik Jay S.1ORCID

Affiliation:

1. Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States

Abstract

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 µm) and small (<150 µm) 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.

Funder

University of New Mexico Health Sciences Center

State of New Mexico

HHS | NIH | National Cancer Institute

HHS | NIH | National Heart, Lung, and Blood Institute

HHS | NIH | National Institute of General Medical Sciences

Publisher

American Physiological Society

Subject

Genetics,Physiology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification;Bioinformatics;2024-02-01

2. Endothelin-1 in Health and Disease;International Journal of Molecular Sciences;2023-07-10

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