未经证实:几种人类疾病与参与N6-甲基腺苷(m6A)RNA修饰的调节因子的异常表达有关。然而,它们在主动脉瓣钙化(AVC)中的作用尚不清楚.本研究的目的是通过生物信息学方法确定m6A调节因子在AVC中的一般表达模式和潜在功能。
UNASSIGNED:我们从基因表达综合(GEO)获得AVC数据集。对基于DEGs的AVC个体进行m6A相关差异表达基因(DEGs)的鉴定和共识聚类方法。然后,我们通过主成分分析(PCA)量化了分型的影响。接下来,我们进行了加权基因共表达网络分析(WGCNA),并确定了主要模块以及功能分析.此外,通过蛋白质-蛋白质相互作用网络(PPIN)分析筛选关键基因并鉴定重要模块的重要基因。我们再次使用关键基因通过相同的方法对AVC个体进行分型。最后,我们评估了关键基因与免疫浸润之间的联系。
未经批准:我们发现METTL14、ZC3H13、FTO、FMR1,HNRNPA2B1,HNRNPC,LRPPRC,在AVC组织中YTHDC1、YTHDC2和YTHDF1表达水平显著降低。基于10个基因,我们将240个AVC样本分为A簇和B簇。我们使用细胞类型鉴定通过估计RNA转录物的相对子集(CIBERSORT)评估了240个样本中的免疫细胞含量,并发现B细胞记忆,CD8T细胞,滤泡辅助性T细胞,单核细胞,M0巨噬细胞,静息树突状细胞(DC),和白细胞介素-10(IL-10)集中在簇A组中。此外,基于重要的WGCNA模块,我们确定了7个关键基因。接下来,根据7个关键基因对240个样本进行了重新分型;我们发现T细胞CD8,T细胞CD4记忆激活,T细胞滤泡辅助,巨噬细胞M1在基因簇-1中显著增加。最后,我们对基因簇型样本进行了功能富集,显示不同类型之间的潜在功能差异。
UNASSIGNED:我们的研究综述了人AVC中m6A调节因子的表达模式和功能重要性。这项研究的数据可能作为未来机制和治疗性研究的重要资源,用于关键m6A调节剂在AVC中的作用。
UNASSIGNED: Several human diseases are associated with aberrant expression of regulators involved in N6-methyladenosine (m6A) RNA modification. However, their role in aortic valve calcification (AVC) is largely unknown. The aim of this study was to determine the general expression pattern and potential function of m6A regulators in AVC by bioinformatics methods.
UNASSIGNED: We obtained AVC datasets from the Gene Expression Omnibus (GEO). The identification of m6A-related differentially expressed genes (DEGs) and the Consensus Clustering method was performed to type AVC individuals based DEGs. Then, we quantified the effect of typing by principal component analysis (PCA). Next, we performed the weighted gene co-expression network analysis (WGCNA) and identified the main modules as well as functional analysis. Additionally, the key genes were screened by protein-protein interaction network (PPIN) analysis and identifying important genes of important modules. We again typed AVC individuals by the same method using key genes. Finally, we evaluated the link between key genes and immune infiltration.
UNASSIGNED: We discovered that METTL14, ZC3H13, FTO, FMR1, HNRNPA2B1, HNRNPC, LRPPRC, YTHDC1, YTHDC2, and YTHDF1 expression levels decreased considerably in AVC tissues. Based on 10 genes, we typed 240 AVC samples as clusters A and B. We assessed the immune cell content in 240 samples using Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) and found that B cell memory, CD8 T cells, T follicular helper cells, monocytes, M0 macrophages, resting dendritic cells (DCs), and interleukin-10 (IL-10) were concentrated in the cluster A group. Additionally, based on the important WGCNA modules, we identified 7 key genes. Next, 240 samples were retyped based on 7 key genes; we found that T cells CD8, T cells CD4 memory activated, T cells follicular helper, and macrophages M1 were significantly increased in gene cluster-1. Finally, we performed functional enrichment of gene cluster-typed samples, showing potential functional differences between different types.
UNASSIGNED: Our study provides a review of the m6A regulators\' expression pattern and functional importance in human AVC. The data from this study might serve as a significant resource for future mechanistic and therapeutic investigations into the role of critical m6A regulators in AVC.