Identification of the Key Genes of Autism Spectrum Disorder Through Protein-Protein Interaction Network.
Identification of the Key Genes of Autism Spectrum Disorder Through Protein-Protein Interaction Network.
复制标题
通过蛋白质 - 蛋白质相互作用网络鉴定自闭症谱系障碍的关键基因。
DOI：
10.31661/gmj.v0i0.1367
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发表时间：
2019
影响因子：
0.7
通讯作者：
Rezaei Tavirani M
中科院分区：
文献类型：
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作者：
Zamanian Azodi M;Rezaei Tavirani M;Rezaei Tavirani M
目前，自闭症谱系障碍（ASD）的患病率呈上升趋势，引起了人们对ASD分子机制研究的广泛兴趣。因此，更好地理解给定的障碍机制是可能实现的。生物信息学通过蛋白质芯片等高通量研究手段分析蛋白质间相互作用，就是其中的一个重要成果。 从GEO数据库下载基因表达数据，通过Cytoscape及其相关插件分析发育迟缓和自闭症患者的基因表达谱，结果表明EGFR、ACTB、RHOA、CALM1、MAPK1和JUN基因作为枢纽瓶颈及其相关术语可能在ASD风险中起重要作用。换句话说，这些基因中的任何表达修饰都可能引发相应生物过程的功能障碍。 我们认为，差异表达基因经过验证后可以作为ASD的合适靶点。
Currently, the prevalence of autism spectrum disorder (ASD) is increasing, which widely spurs the interest in the molecular investigation. Thereby, a better understanding of the given disorder mechanisms is likely to be achieved. Bioinformatics suiting protein-protein interactions analysis via the application of high-throughput studies, such as protein array, is one of these achievements. The gene expression data from Gene Expression Omnibus (GEO) database were downloaded, and the expression profile of patients with developmental delay and autistic features were analyzed via Cytoscape and its relevant plug-ins. Our findings indicated that EGFR, ACTB, RHOA, CALM1, MAPK1, and JUN genes as the hub-bottlenecks and their related terms could be important in ASD risk. In other words, any expression modification in these genes could trigger dysfunctions in the corresponding biological processes. We suggest that differentially expressed genes could be used as suitable targets for ASD after being validated.