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基于GEO数据集分析宿主树突状细胞对……免疫反应过程中的关键miRNA/mRNA功能轴 。(原文中“Based on GEO Datasets”前缺少具体对象,这里翻译为“基于GEO数据集分析宿主树突状细胞对……免疫反应过程中的关键miRNA/mRNA功能轴 ”,需补充完整信息才能准确表意)

Analysis of Key miRNA/mRNA Functional Axes During Host Dendritic Cell Immune Response to Based on GEO Datasets.

作者信息

Gao Qian, Bao Shuangshuang, Sun Yaqi, Zhou Kaixin, Lin Yan

机构信息

School of Basic Medical Sciences, Beihua University, Jilin 132000, China.

出版信息

Genes (Basel). 2025 Jul 17;16(7):832. doi: 10.3390/genes16070832.

DOI:10.3390/genes16070832
PMID:40725488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12294207/
Abstract

BACKGROUND

Dendritic cells (DCs) play an important role as a bridge between innate and adaptive immunity, and changes in gene expression of DCs during the immune response to () may affect the development of tuberculosis.

METHODS

Using systems biology methods, mRNA and miRNA expression profile data of DCs infected with were obtained. A total of 1398 differentially expressed mRNAs and 79 differentially expressed miRNAs were identified, and a corresponding miRNA-mRNA regulatory network was constructed using Cytoscape 3.9.1 software. The functional annotations and pathway classifications of the miRNA-mRNA network were identified using the DAVID tool. Then, the key pathway modules in the miRNA-mRNA network were screened and subjected to PPI network analysis to identify hub nodes. Subsequently the miRNA/mRNA axis was determined, validated by qRT-PCR, and evaluated through ROC curve analysis.

RESULTS

The TNF signaling pathway and the Tuberculosis pathway were key pathway modules, with miR-34a-3p/ and miR-190a-3p/ being the greatest correlations with the two pathway modules. qRT-PCR results showed that and miR-190a-3p exhibited significant differences in both the H37Ra and BCG infection groups. The AUC of two factors ( and miR-190a-3p) was 0.9561 and 0.9625, respectively, showing high sensitivity and specificity.

CONCLUSIONS

Consequently, miR-190a-3p/ might be a good candidate marker to characterize the immune response of DCs to and a transition signal from innate to adaptive immunity.

摘要

背景

树突状细胞(DCs)作为固有免疫和适应性免疫之间的桥梁发挥着重要作用,DCs在对()免疫应答过程中的基因表达变化可能会影响结核病的发展。

方法

运用系统生物学方法,获取感染()的DCs的mRNA和miRNA表达谱数据。共鉴定出1398个差异表达的mRNA和79个差异表达的miRNA,并使用Cytoscape 3.9.1软件构建了相应的miRNA-mRNA调控网络。使用DAVID工具对miRNA-mRNA网络进行功能注释和通路分类。然后,筛选miRNA-mRNA网络中的关键通路模块并进行蛋白质-蛋白质相互作用(PPI)网络分析以识别枢纽节点。随后确定miRNA/mRNA轴,通过qRT-PCR进行验证,并通过ROC曲线分析进行评估。

结果

TNF信号通路和结核病通路是关键通路模块,miR-34a-3p/和miR-190a-3p/与这两个通路模块的相关性最大。qRT-PCR结果显示,在H37Ra和卡介苗感染组中,()和miR-190a-3p均表现出显著差异。两个因素(()和miR-190a-3p)的曲线下面积(AUC)分别为0.9561和0.9625,显示出高敏感性和特异性。

结论

因此,miR-190a-3p/可能是表征DCs对()免疫应答以及从固有免疫到适应性免疫转变信号的良好候选标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/2d9faa4d6732/genes-16-00832-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/254dac38ac60/genes-16-00832-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/f25f7e6a339d/genes-16-00832-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/f1e24d799f6c/genes-16-00832-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/26b2e903ce8f/genes-16-00832-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/62ae65edbe55/genes-16-00832-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/7a6696c69dcb/genes-16-00832-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/bc267e6177ea/genes-16-00832-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/267ac19ab39b/genes-16-00832-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/2d9faa4d6732/genes-16-00832-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/254dac38ac60/genes-16-00832-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/f25f7e6a339d/genes-16-00832-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/f1e24d799f6c/genes-16-00832-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/26b2e903ce8f/genes-16-00832-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/62ae65edbe55/genes-16-00832-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/7a6696c69dcb/genes-16-00832-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/bc267e6177ea/genes-16-00832-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/267ac19ab39b/genes-16-00832-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/188c/12294207/2d9faa4d6732/genes-16-00832-g009.jpg

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