A cell and transcriptome atlas of the human arterial vasculature

Quanyi Zhao, Albert Pedroza, Disha Sharma, Wenduo Gu, Alex Dalal, Chad Weldy, William Jackson, Daniel Yuhang Li, Yana Ryan, Trieu Nguyen, Rohan Shad, Brian T. Palmisano, Joao P. Monteiro, Matthew Worssam, Alexa Berezwitz, Meghana Iyer, Huitong Shi, Ramendra Kundu, Lasemahang Limbu, Juyong Brian Kim, Anshul Kundaje, Michael Fischbein, Robert Wirka, Thomas Quertermous, Paul Cheng
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Abstract

Vascular beds show different propensities for different vascular pathologies, yet mechanisms explaining these fundamental differences remain unknown. We sought to build a transcriptomic, cellular, and spatial atlas of human arterial cells across multiple different arterial segments to understand this phenomenon. We found significant cell type-specific segmental heterogeneity. Determinants of arterial identity are predominantly encoded in fibroblasts and smooth muscle cells, and their differentially expressed genes are particularly enriched for vascular disease-associated loci and genes. Adventitial fibroblast-specific heterogeneity in gene expression coincides with numerous vascular disease risk genes, suggesting a previously unrecognized role for this cell type in disease risk. Adult arterial cells from different segments cluster not by anatomical proximity but by embryonic origin, with differentially regulated genes heavily influenced by developmental master regulators. Non-coding transcriptomes across arterial cells contain extensive variation in lnc-RNAs expressed in cell type- and segment-specific patterns, rivaling heterogeneity in protein coding transcriptomes, and show enrichment for non-coding genetic signals for vascular diseases.
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人类动脉血管的细胞和转录组图谱
血管床对不同的血管病变表现出不同的倾向性,但解释这些根本性差异的机制仍然未知。我们试图建立一个跨越多个不同动脉节段的人类动脉细胞转录组、细胞和空间图谱,以了解这一现象。我们发现了明显的细胞类型特异性节段异质性。动脉特性的决定因素主要由成纤维细胞和平滑肌细胞编码,它们的差异表达基因特别富集于血管疾病相关的位点和基因。基底成纤维细胞特异性基因表达的异质性与许多血管疾病风险基因相吻合,这表明这种细胞类型在疾病风险中的作用以前从未被认识到。来自不同节段的成年动脉细胞不是根据解剖学上的接近性,而是根据胚胎起源聚集在一起,不同的调控基因受到发育主调节因子的严重影响。动脉细胞的非编码转录组包含以细胞类型和节段特异性模式表达的lnc-RNAs的广泛差异,可与蛋白质编码转录组的异质性相媲美,并显示出血管疾病非编码遗传信号的富集。
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