2022
DOI: 10.1038/s41392-022-00943-x
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An intersegmental single-cell profile reveals aortic heterogeneity and identifies a novel Malat1+ vascular smooth muscle subtype involved in abdominal aortic aneurysm formation

Abstract: The developmental origin, anatomical location, and other factors contribute to aortic heterogeneity in a physiological state. On this basis, vascular diseases occur at different ratios based on position specificity, even with the same risk factor. However, the continuous intersegmental aortic profile has been rarely reported at the single-cell level. To reveal aortic heterogeneity, we identified 15 cell subtypes from five continuous aortic segments by marker genes and functional definitions. The EC1 subtype hi… Show more

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Cited by 24 publications
(21 citation statements)
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“…Although the single-cell map of SMCs and macrophages in aortic aneurysm has been reported ( Zilionis et al, 2019 ; Davis et al, 2021 ; Liu et al, 2022 ; Yu et al, 2022 ), we reveal an innovative conservation of gene expression profiles between mice and humans. First, we see coherence of SMC subpopulations.…”
Section: Discussionmentioning
confidence: 59%
“…Although the single-cell map of SMCs and macrophages in aortic aneurysm has been reported ( Zilionis et al, 2019 ; Davis et al, 2021 ; Liu et al, 2022 ; Yu et al, 2022 ), we reveal an innovative conservation of gene expression profiles between mice and humans. First, we see coherence of SMC subpopulations.…”
Section: Discussionmentioning
confidence: 59%
“…Single-cell RNA sequencing is a contemporary and powerful technique for determining transcriptome gene profiles at the cellular level. ScRNA-seq has been recently used by many researchers to study the transcriptome profiles of aortic aneurysm tissues in humans and experimental animals at single-cell resolution (14,(20)(21)(22)33). A comprehensive and unbiased genetic analysis by scRNA-seq can lead to a better understanding of cell-specific molecular signatures of AAA under physiological and pathophysiological conditions (34).…”
Section: Discussionmentioning
confidence: 99%
“…Unique Molecular Identifier (UMI) count matrix for AAA and control sample scRNA-seq data of 4 datasets (14,(20)(21)(22) were downloaded from the GEO database. The UMI count matrix was converted from R package Seurat to Seurat objects (23) (version 4.0.4).…”
Section: Retrieval and Process Of Public Datamentioning
confidence: 99%
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“…Recent research have employed scRNA-seq to identify the cell types present within AAA walls and to understand their functions in the disease's genesis and progression. One study, for example, used scRNAseq to identify a population of highly active smooth muscle cells (SMCs) in AAA and discovered that these cells expressed genes related to in ammation and extracellular matrix remodeling (Yu et al, 2022;Zhao et al, 2021). Another study employed scRNA-seq to identify a larger population of macrophages in greater numbers in AAA than the healthy aorta and discovered that these cells expressed immune response and tissue repair genes.…”
Section: Discussionmentioning
confidence: 99%