Single-cell and bulk RNA-seq unveils the immune infiltration landscape associated with cuproptosis in cerebral cavernous malformations.

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Biomarker Research Pub Date : 2024-06-05 DOI:10.1186/s40364-024-00603-y
Chengwei Chen, Yuting Bao, Sihan Ju, Conglin Jiang, Xiang Zou, Xin Zhang, Liang Chen
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Abstract

Background: Cerebral cavernous malformations (CCMs) are vascular abnormalities associated with deregulated angiogenesis. Their pathogenesis and optimal treatment remain unclear. This study aims to investigate the molecular signatures of cuproptosis, a newly identified type of cell death, associated with CCMs development.

Methods: Bulk RNA sequencing (RNA-seq) from 15 CCM and 6 control samples were performed with consensus clustering and clustered to two subtypes based on expression levels of cuproptosis-related genes (CRGs). Differentially expressed genes and immune infiltration between subtypes were then identified. Machine learning algorithms including the least absolute shrinkage and selection operator and random forest were employed to screen for hub genes for CCMs associated with cuproptosis. Furthermore, Pathway enrichment and correlation analysis were used to explore the functions of hub genes and their association with immune phenotypes in CCMs. An external dataset was then employed for validation. Finally, employing the Cellchat algorithm on a single-cell RNA-seq dataset, we explored potential mechanisms underlying the participation of these hub genes in cell-cell communication in CCMs.

Results: Our study revealed two distinct CCM subtypes with differential pattern of CRG expression and immune infiltration. Three hub genes (BTBD10, PFDN4, and CEMIP) were identified and validated, which may significantly associate with CCM pathogenesis. These genes were found to be significantly upregulated in CCM endothelial cells (ECs) and were validated through immunofluorescence and western blot analysis. Single-cell RNA-seq analysis revealed the cellular co-expression patterns of these hub genes, particularly highlighting the high expression of BTBD10 and PFDN4 in ECs. Additionally, a significant co-localization was also observed between BTBD10 and the pivotal cuproptosis gene FDX1 in Mki67+ tip cells, indicating the crucial role of cuproptosis for angiogenesis in CCMs. The study also explored the cell-cell communication between subcluster of ECs expressing these hub genes and immune cells, particularly M2 macrophages, suggesting a role for these interactions in CCM pathogenesis.

Conclusion: This study identifies molecular signatures linking cuproptosis to CCMs pathogenesis. Three hub genes-PFDN4, CEMIP, and BTBD10-may influence disease progression by modulating immunity. Further research is needed to understand their precise disease mechanisms and evaluate their potential as biomarkers or therapeutic targets for CCMs.

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单细胞和大容量 RNA-seq揭示了脑海绵畸形中与杯突症相关的免疫浸润分布。
背景:脑海绵畸形(CCMs)是一种与血管生成失调有关的血管异常。其发病机制和最佳治疗方法仍不清楚。本研究旨在调查杯突(一种新发现的细胞死亡类型)与 CCMs 发育相关的分子特征:方法:对15个CCM样本和6个对照样本的大量RNA测序(RNA-seq)进行了共识聚类,并根据杯突相关基因(CRGs)的表达水平聚类为两个亚型。然后确定了亚型之间的差异表达基因和免疫浸润。利用机器学习算法,包括最小绝对收缩和选择算子以及随机森林,筛选出与杯突症相关的中枢基因。此外,研究人员还利用通路富集和相关性分析来探索中枢基因的功能及其与 CCMs 免疫表型的关联。然后利用外部数据集进行验证。最后,我们在单细胞RNA-seq数据集上使用Cellchat算法,探索了这些枢纽基因参与CCMs细胞-细胞通讯的潜在机制:结果:我们的研究发现了两种不同的 CCM 亚型,它们的 CRG 表达和免疫浸润模式各不相同。我们发现并验证了三个枢纽基因(BTBD10、PFDN4 和 CEMIP),它们可能与 CCM 的发病机制密切相关。研究发现,这些基因在CCM内皮细胞(ECs)中明显上调,并通过免疫荧光和Western印迹分析进行了验证。单细胞RNA-seq分析揭示了这些中心基因的细胞共表达模式,尤其突出了BTBD10和PFDN4在EC中的高表达。此外,在 Mki67+ 顶端细胞中还观察到 BTBD10 与关键的杯突症基因 FDX1 之间有明显的共定位,这表明杯突症在 CCMs 的血管生成中起着关键作用。该研究还探讨了表达这些枢纽基因的EC亚簇与免疫细胞(尤其是M2巨噬细胞)之间的细胞间通讯,表明这些相互作用在CCM发病机制中的作用:结论:本研究发现了杯突症与CCM发病机制相关的分子特征。三个枢纽基因--PFDN4、CEMIP 和 BTBD10--可能通过调节免疫力影响疾病的进展。要了解它们的确切发病机制,并评估它们作为杯状红细胞增多症生物标志物或治疗靶点的潜力,还需要进一步的研究。
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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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