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通过生物信息学和下一代测序数据分析对异形性肺纤维化的潜在差异表达基因的研究

Muttanagouda Giriyappagoudar¹, Basavaraj Vastrad², Rajeshwari Horakeri³

¹Department of Radiation Oncology, Karnataka Institute of Medical Sciences (KIMS), Hubballi 580022, Karnataka, India.

|December 23, 2023

概括

生物信息学分析确定了与异常性肺纤维化 (IPF) 相关的关键基因和分子途径. 这项研究突出了IPF治疗的潜在治疗点和药物分子,旨在改善患者的治疗结果.

科学领域:

肺部医学肺部医学
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

异常性肺纤维化 (IPF) 是一种进展性肺病,具有显著的发病率和死亡率.
基础病原和IPF的关键遗传因素仍然不完全理解.
目前IPF的治疗选择有限,需要发现新的治疗策略.

研究的目的:

使用生物信息学方法阐明IPF的分子病原性.
确定与IPF发展有关的关键基因和监管网络.
发现潜在的治疗点和IPF治疗的候选药物.

主要方法:

来自Gene Expression Omnibus (GEO) 的GSE213001数据集的差异基因表达分析.
基因本体学 (GO) 和REACTOME路径丰富分析使用g:Profiler.
使用Cytoscape和专用数据库构建蛋白质-蛋白质相互作用 (PPI) 网络和监管网络 (miRNA-中心基因,TF-中心基因).
使用接收器操作特征 (ROC) 曲线分析验证枢纽基因.

主要成果:

在IPF中鉴定了958个差异表达基因 (DEGs),其中479个是上调的,479个是下调的.
在生物过程中显著丰富DEGs,如对刺激的反应,GPCR连体结合和基于微管的过程.
通过网络分析识别了十个枢纽基因 (LRRK2,BMI1,EBP,MNDA,KBTBD7,KRT15,OTX1,TEKT4,SPAG8,EFHC2).
预测循环亚胺和罗提古丁作为潜在的小分子药物用于IPF治疗.

结论:

生物信息学分析提供了对IPF分子机制的洞察.
已识别的枢纽基因代表了IPF的潜在生物标志物和治疗点.
预测的小药物分子为IPF管理中的临床干预提供了新的途径.

关键词:

微RNAs是一种微RNA.生物信息学分析分析不同表达的基因.异形性肺纤维化异形性肺纤维化转录因子是一种转录因子.

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