高级检索
    许灿坤, 杨荣礼, 牛海晨, 郑英伟, 刘久煜. 基于生物信息学方法辨认阿尔茨海默病关键基因及通路的改变[J]. 徐州医科大学学报, 2022, 42(7): 484-490. DOI: 10.3969/j.issn.2096-3882.2022.07.003
    引用本文: 许灿坤, 杨荣礼, 牛海晨, 郑英伟, 刘久煜. 基于生物信息学方法辨认阿尔茨海默病关键基因及通路的改变[J]. 徐州医科大学学报, 2022, 42(7): 484-490. DOI: 10.3969/j.issn.2096-3882.2022.07.003
    shu
    Identification of key genes and pathway changes in Alzheimer’s disease ba＜x＞sed on bioinformatics methods[J]. Journal of Xuzhou Medical University, 2022, 42(7): 484-490. DOI: 10.3969/j.issn.2096-3882.2022.07.003
    Citation: Identification of key genes and pathway changes in Alzheimer’s disease ba＜x＞sed on bioinformatics methods[J]. Journal of Xuzhou Medical University, 2022, 42(7): 484-490. DOI: 10.3969/j.issn.2096-3882.2022.07.003
    shu

    基于生物信息学方法辨认阿尔茨海默病关键基因及通路的改变

    Identification of key genes and pathway changes in Alzheimer’s disease ba＜x＞sed on bioinformatics methods

      摘要
    • 摘要: 目的 使用生物信息学数据处理方法，初步探讨阿尔茨海默病潜在分子机制。方法 通过GEO2R数据库筛选GES5281和GSE132903数据集中的差异表达基因（DEGs），利用me＜x＞tascape、STRING和Cytoscape软件对DEGs进行系统的生物信息学分析。结果 在两个数据集中共筛选出250个DEGs。DEGs主要富集于化学突触传递、神经系统等条目。构建蛋白-蛋白互作网（PPI），筛选出8个关键基因，分别为突触相关蛋白25（SNAP25）、突触蛋白Ⅰ（SYN1）、突触结合蛋白Ⅰ（SYT1）、γ-氨基丁酸A型受体γ2亚基（GABRG2）、突触结合蛋白Ⅳ（SYT4）、γ-氨基丁酸A型受体α1（GABRA1）、突触蛋白Ⅱ（SYN2）、谷氨酸脱羧酶2（GAD2）。结论 AD的发病与SNAP25、SYN1、SYT1、GABRG2、SYT4、GABRA1、SYN2、GAD2基因密切相关，主要涉及突触神经递质释放过程。这些发现将有助于深入了解AD发病的分子机制，为未来新药物开发提供潜在的作用靶点，为疾病早期诊断及治疗提供新思路。

       

      Abstract: ob＜x＞jective Through bioinformatics methods,the the potential molecular mechanism of Alzheimer’s disease (AD) was preliminarily explored and key genes were screened. Methods Two datasets, GES 5281 and GSE 132903 were selected from public GEO databa＜x＞se and identified differentially ex＜x＞pression genes (DEGs) via GEO2R. And DEGs were further analyzed via online Matescape, STRING and Cytoscape software. Results A total of 250 common DEGs were obtained from two datasets. And the DEGs significantly focused on chemical synaptic transmission, neuronal System. The protein-protein interaction(PPI) network of DEGs was constructed, and further identified the core modules and candidate hub genes via Cytoscape plugin MCODE and Cytohubba. Eight hub genes were identified, including Synaptosomal-Associated Protein 25 (SNAP25), Synapsin I (SYN1), Synaptotagmin 1 (SYT1), Gamma-Aminobutyric Acid A Receptor Subunit Gamma2 (GABRG2), Synaptotagmin 4 (SYT4), Gamma-Aminobutyric Acid A Receptor Subunit Alpha1(GABRA1), Synapsin II (SYN2) and Glutamate Decarboxylase 2 (GAD2).Conclusion AD was associated with the changes of SNAP25、SYN1、SYT1、GABRG2、SYT4、GABRA1、SYN2 and GAD2. These findings will provide a deep understanding for molecular mechanism of AD, and provide potential targets for AD drug development and the early diagnosis and treatment of AD.

       

      • HTML全文
      • 参考文献(0)
      • 相关文章
      • 施引文献
    • 资源附件(0)

    /

    返回文章
    返回