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单细胞分辨率下大鼠心血管系统的转录图谱。

Transcriptional profile of the rat cardiovascular system at single cell resolution.

作者信息

Arduini Alessandro, Fleming Stephen J, Xiao Ling, Hall Amelia W, Akkad Amer-Denis, Chaffin Mark, Bendinelli Kayla J, Tucker Nathan R, Papangeli Irinna, Mantineo Helene, Babadi Mehrtash, Stegmann Christian M, García-Cardeña Guillermo, Lindsay Mark E, Klattenhoff Carla, Ellinor Patrick T

机构信息

Precision Cardiology Laboratory, The Broad Institute, Cambridge, MA, USA 02142.

Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, MA, USA 02142.

出版信息

bioRxiv. 2023 Nov 16:2023.11.14.567085. doi: 10.1101/2023.11.14.567085.

Abstract

BACKGROUND

Despite the critical role of the cardiovascular system, our understanding of its cellular and transcriptional diversity remains limited. We therefore sought to characterize the cellular composition, phenotypes, molecular pathways, and communication networks between cell types at the tissue and sub-tissue level across the cardiovascular system of the healthy Wistar rat, an important model in preclinical cardiovascular research. We obtained high quality tissue samples under controlled conditions that reveal a level of cellular detail so far inaccessible in human studies.

METHODS AND RESULTS

We performed single nucleus RNA-sequencing in 78 samples in 10 distinct regions including the four chambers of the heart, ventricular septum, sinoatrial node, atrioventricular node, aorta, pulmonary artery, and pulmonary veins (PV), which produced an aggregate map of 505,835 nuclei. We identified 26 distinct cell types and additional subtypes, including a number of rare cell types such as PV cardiomyocytes and non-myelinating Schwann cells (NMSCs), and unique groups of vascular smooth muscle cells (VSMCs), endothelial cells (ECs) and fibroblasts (FBs), which gave rise to a detailed cell type distribution across tissues. We demonstrated differences in the cellular composition across different cardiac regions and tissue-specific differences in transcription for each cell type, highlighting the molecular diversity and complex tissue architecture of the cardiovascular system. Specifically, we observed great transcriptional heterogeneities among ECs and FBs. Importantly, several cell subtypes had a unique regional localization such as a subtype of VSMCs enriched in the large vasculature. We found the cellular makeup of PV tissue is closer to heart tissue than to the large arteries. We further explored the ligand-receptor repertoire across cell clusters and tissues, and observed tissue-enriched cellular communication networks, including heightened - // signaling in the sinoatrial node.

CONCLUSIONS

Through a large single nucleus sequencing effort encompassing over 500,000 nuclei, we broadened our understanding of cellular transcription in the healthy cardiovascular system. The existence of tissue-restricted cellular phenotypes suggests regional regulation of cardiovascular physiology. The overall conservation in gene expression and molecular pathways across rat and human cell types, together with our detailed transcriptional characterization of each cell type, offers the potential to identify novel therapeutic targets and improve preclinical models of cardiovascular disease.

摘要

背景

尽管心血管系统起着关键作用,但我们对其细胞和转录多样性的了解仍然有限。因此,我们试图在健康的Wistar大鼠的心血管系统中,在组织和亚组织水平上,对细胞组成、表型、分子途径以及细胞类型之间的通讯网络进行表征,Wistar大鼠是临床前心血管研究中的重要模型。我们在可控条件下获得了高质量的组织样本,这些样本揭示了目前人类研究中尚未达到的细胞细节水平。

方法和结果

我们对10个不同区域的78个样本进行了单核RNA测序,这些区域包括心脏的四个腔室、室间隔、窦房结、房室结、主动脉、肺动脉和肺静脉(PV),共生成了505,835个细胞核的汇总图谱。我们鉴定出26种不同的细胞类型和额外的亚型,包括一些罕见的细胞类型,如PV心肌细胞和非髓鞘雪旺细胞(NMSC),以及独特的血管平滑肌细胞(VSMC)、内皮细胞(EC)和成纤维细胞(FB)群体,这产生了跨组织的详细细胞类型分布。我们展示了不同心脏区域的细胞组成差异以及每种细胞类型在转录方面的组织特异性差异,突出了心血管系统的分子多样性和复杂的组织结构。具体而言,我们观察到EC和FB之间存在很大的转录异质性。重要的是,几种细胞亚型具有独特的区域定位,例如在大血管中富集的一种VSMC亚型。我们发现PV组织的细胞组成与心脏组织比与大动脉更接近。我们进一步探索了跨细胞簇和组织的配体 - 受体库,并观察到组织富集的细胞通讯网络,包括窦房结中增强的 - //信号传导。

结论

通过对超过50万个细胞核进行大规模单核测序,我们拓宽了对健康心血管系统中细胞转录的理解。组织受限的细胞表型的存在表明心血管生理存在区域调节。大鼠和人类细胞类型之间基因表达和分子途径的总体保守性,以及我们对每种细胞类型的详细转录表征,为识别新的治疗靶点和改善心血管疾病的临床前模型提供了潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87ed/10680727/5ad55584bd74/nihpp-2023.11.14.567085v1-f0001.jpg

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