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基于单细胞转录组学的小鼠脑血管转录调控特征研究。

Single-Cell Transcriptomics-Based Study of Transcriptional Regulatory Features in the Mouse Brain Vasculature.

机构信息

Department of Neurosurgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, 310009 Zhejiang, China.

Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, 100 Haining Road, Shanghai 200080, China.

出版信息

Biomed Res Int. 2021 Jul 23;2021:7643209. doi: 10.1155/2021/7643209. eCollection 2021.

Abstract

BACKGROUND

The critical role of vascular health on brain function has received much attention in recent years. At the single-cell level, studies on the developmental processes of cerebral vascular growth are still relatively few. Techniques for constructing gene regulatory networks (GRNs) based on single-cell transcriptome expression data have made significant progress in recent years. Herein, we constructed a single-cell transcriptional regulatory network of mouse cerebrovascular cells.

METHODS

The single-cell RNA-seq dataset of mouse brain vessels was downloaded from GEO (GSE98816). This cell clustering was annotated separately using singleR and CellMarker. We then used a modified version of the SCENIC method to construct GRNs. Next, we used a mouse version of SEEK to assess whether genes in the regulon were coexpressed. Finally, regulatory module analysis was performed to complete the cell type relationship quantification.

RESULTS

Single-cell RNA-seq data were used to analyze the heterogeneity of mouse cerebrovascular cells, whereby four cell types including endothelial cells, fibroblasts, microglia, and oligodendrocytes were defined. These subpopulations of cells and marker genes together characterize the molecular profile of mouse cerebrovascular cells. Through these signatures, key transcriptional regulators that maintain cell identity were identified. Our findings identified genes like Lmo2, which play an important role in endothelial cells. The same cell type, for instance, fibroblasts, was found to have different regulatory networks, which may influence the functional characteristics of local tissues.

CONCLUSIONS

In this study, a transcriptional regulatory network based on single-cell analysis was constructed. Additionally, the study identified and profiled mouse cerebrovascular cells using single-cell transcriptome data as well as defined TFs that affect the regulatory network of the mouse brain vasculature.

摘要

背景

近年来,血管健康对大脑功能的关键作用受到了广泛关注。在单细胞水平上,关于脑血管生长发育过程的研究仍然相对较少。基于单细胞转录组表达数据构建基因调控网络(GRN)的技术近年来取得了重大进展。在此,我们构建了小鼠脑血管细胞的单细胞转录调控网络。

方法

从 GEO(GSE98816)下载了小鼠脑血管的单细胞 RNA-seq 数据集。使用 singleR 和 CellMarker 分别对这些细胞聚类进行注释。然后,我们使用 SCENIC 方法的修改版本构建 GRN。接下来,我们使用 SEEK 的小鼠版本评估调控子中的基因是否共表达。最后,进行调控模块分析以完成细胞类型关系的定量。

结果

使用单细胞 RNA-seq 数据来分析小鼠脑血管细胞的异质性,从而定义了包括内皮细胞、成纤维细胞、小胶质细胞和少突胶质细胞在内的四种细胞类型。这些细胞亚群和标记基因共同描述了小鼠脑血管细胞的分子特征。通过这些特征,确定了维持细胞身份的关键转录因子。我们的研究结果确定了 Lmo2 等基因在血管内皮细胞中发挥重要作用。例如,同一细胞类型成纤维细胞被发现具有不同的调控网络,这可能影响局部组织的功能特征。

结论

在这项研究中,我们构建了基于单细胞分析的转录调控网络。此外,本研究还使用单细胞转录组数据对小鼠脑血管细胞进行了鉴定和分析,并定义了影响小鼠脑血管调控网络的 TFs。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa83/8324343/020fc59ce97d/BMRI2021-7643209.001.jpg

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