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心血管系统的单细胞RNA测序:旧病新貌

Single-Cell RNA Sequencing of the Cardiovascular System: New Looks for Old Diseases.

作者信息

Chaudhry Farhan, Isherwood Jenna, Bawa Tejeshwar, Patel Dhruvil, Gurdziel Katherine, Lanfear David E, Ruden Douglas M, Levy Phillip D

机构信息

Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, United States.

Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, United States.

出版信息

Front Cardiovasc Med. 2019 Dec 10;6:173. doi: 10.3389/fcvm.2019.00173. eCollection 2019.

DOI:10.3389/fcvm.2019.00173
PMID:31921894
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6914766/
Abstract

Cardiovascular disease encompasses a wide range of conditions, resulting in the highest number of deaths worldwide. The underlying pathologies surrounding cardiovascular disease include a vast and complicated network of both cellular and molecular mechanisms. Unique phenotypic alterations in specific cell types, visualized as varying RNA expression-levels (both coding and non-coding), have been identified as crucial factors in the pathology underlying conditions such as heart failure and atherosclerosis. Recent advances in single-cell RNA sequencing (scRNA-seq) have elucidated a new realm of cell subpopulations and transcriptional variations that are associated with normal and pathological physiology in a wide variety of diseases. This breakthrough in the phenotypical understanding of our cells has brought novel insight into cardiovascular basic science. scRNA-seq allows for separation of widely distinct cell subpopulations which were, until recently, simply averaged together with bulk-tissue RNA-seq. scRNA-seq has been used to identify novel cell types in the heart and vasculature that could be implicated in a variety of disease pathologies. Furthermore, scRNA-seq has been able to identify significant heterogeneity of phenotypes within individual cell subtype populations. The ability to characterize single cells based on transcriptional phenotypes allows researchers the ability to map development of cells and identify changes in specific subpopulations due to diseases at a very high throughput. This review looks at recent scRNA-seq studies of various aspects of the cardiovascular system and discusses their potential value to our understanding of the cardiovascular system and pathology.

摘要

心血管疾病涵盖多种病症,是全球死亡人数最多的原因。心血管疾病背后的病理包括庞大而复杂的细胞和分子机制网络。特定细胞类型中独特的表型改变,表现为不同的RNA表达水平(包括编码和非编码),已被确定为心力衰竭和动脉粥样硬化等病症病理的关键因素。单细胞RNA测序(scRNA-seq)的最新进展揭示了一个新的细胞亚群和转录变异领域,这些与多种疾病的正常和病理生理学相关。我们对细胞表型理解的这一突破为心血管基础科学带来了新的见解。scRNA-seq能够分离出差异很大的细胞亚群,而直到最近,这些亚群在整体组织RNA测序中只是简单地进行平均处理。scRNA-seq已被用于识别心脏和血管中可能与多种疾病病理相关的新型细胞类型。此外,scRNA-seq能够识别单个细胞亚型群体内显著的表型异质性。基于转录表型对单个细胞进行表征的能力使研究人员能够绘制细胞发育图谱,并以非常高的通量识别特定亚群因疾病而发生的变化。本文综述了近期关于心血管系统各个方面的scRNA-seq研究,并讨论了它们对我们理解心血管系统和病理学的潜在价值。

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1
Atheroprotective roles of smooth muscle cell phenotypic modulation and the TCF21 disease gene as revealed by single-cell analysis.平滑肌细胞表型调节的抗动脉粥样硬化作用及单细胞分析揭示的 TCF21 疾病基因。
Nat Med. 2019 Aug;25(8):1280-1289. doi: 10.1038/s41591-019-0512-5. Epub 2019 Jul 29.
2
Concepts and limitations for learning developmental trajectories from single cell genomics.从单细胞基因组学中学习发育轨迹的概念和局限性。
Development. 2019 Jun 27;146(12):dev170506. doi: 10.1242/dev.170506.
3
Single-Cell Transcriptomics Reveals Chemotaxis-Mediated Intraorgan Crosstalk During Cardiogenesis.
中药对冠心病中白细胞介素-17调节的巨噬细胞的调节作用。
Front Pharmacol. 2025 Apr 10;16:1499786. doi: 10.3389/fphar.2025.1499786. eCollection 2025.
4
Innovative aspects and applications of single cell technology for different diseases.单细胞技术在不同疾病中的创新点及应用
Am J Cancer Res. 2024 Aug 25;14(8):4028-4048. doi: 10.62347/VUFU1836. eCollection 2024.
5
Single-cell transcriptional landscape of long non-coding RNAs orchestrating mouse heart development.单细胞转录组学解析长非编码 RNA 调控小鼠心脏发育的分子机制
Cell Death Dis. 2023 Dec 18;14(12):841. doi: 10.1038/s41419-023-06296-9.
6
Non-Coding RNA-Mediated Gene Regulation in Cardiovascular Disorders: Current Insights and Future Directions.非编码 RNA 在心血管疾病中的基因调控:当前的认识和未来方向。
J Cardiovasc Transl Res. 2024 Aug;17(4):739-767. doi: 10.1007/s12265-023-10469-4. Epub 2023 Dec 13.
7
Single-cell transcriptomics reveals zinc and copper ions homeostasis in epicardial adipose tissue of heart failure.单细胞转录组学揭示心力衰竭患者心外膜脂肪组织中锌和铜离子的动态平衡。
Int J Biol Sci. 2023 Jul 31;19(13):4036-4051. doi: 10.7150/ijbs.82844. eCollection 2023.
8
Single-cell RNA-seq uncovers distinct pathways and genes in endothelial cells during atherosclerosis progression.单细胞RNA测序揭示了动脉粥样硬化进展过程中内皮细胞的不同通路和基因。
Front Mol Biosci. 2023 May 31;10:1176267. doi: 10.3389/fmolb.2023.1176267. eCollection 2023.
9
Spermiogenesis alterations in the absence of CTCF revealed by single cell RNA sequencing.单细胞RNA测序揭示无CTCF时精子发生的改变
Front Cell Dev Biol. 2023 Mar 30;11:1119514. doi: 10.3389/fcell.2023.1119514. eCollection 2023.
10
Transcriptome studies of inherited dilated cardiomyopathies.遗传性扩张型心肌病的转录组研究。
Mamm Genome. 2023 Jun;34(2):312-322. doi: 10.1007/s00335-023-09978-z. Epub 2023 Feb 7.
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Circ Res. 2019 Aug 2;125(4):398-410. doi: 10.1161/CIRCRESAHA.119.315243. Epub 2019 Jun 21.
4
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Nat Methods. 2019 Jul;16(7):619-626. doi: 10.1038/s41592-019-0433-8. Epub 2019 Jun 17.
5
Comprehensive Integration of Single-Cell Data.单细胞数据的综合整合。
Cell. 2019 Jun 13;177(7):1888-1902.e21. doi: 10.1016/j.cell.2019.05.031. Epub 2019 Jun 6.
6
Single-cell transcriptome analyses reveal novel targets modulating cardiac neovascularization by resident endothelial cells following myocardial infarction.单细胞转录组分析揭示了心肌梗死后驻留内皮细胞调节心脏新生血管的新靶点。
Eur Heart J. 2019 Aug 7;40(30):2507-2520. doi: 10.1093/eurheartj/ehz305.
7
Multiplexed single-cell RNA-seq via transient barcoding for simultaneous expression profiling of various drug perturbations.通过瞬时条形码进行多重单细胞 RNA-seq,可同时对各种药物扰动进行表达谱分析。
Sci Adv. 2019 May 15;5(5):eaav2249. doi: 10.1126/sciadv.aav2249. eCollection 2019 May.
8
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Genome Biol. 2019 May 9;20(1):90. doi: 10.1186/s13059-019-1699-y.
9
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Front Genet. 2019 Apr 5;10:317. doi: 10.3389/fgene.2019.00317. eCollection 2019.
10
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Nat Rev Cardiol. 2019 Aug;16(8):503-514. doi: 10.1038/s41569-019-0185-2.