首页> 美国卫生研究院文献>Iranian Journal of Pharmaceutical Research : IJPR >Protein-Protein Interaction Analysis of Common Top Genes in Obsessive-Compulsive Disorder (OCD) and Schizophrenia: Towards New Drug Approach Obsessive-Compulsive disorder (OCD) and Schizophrenia Comorbidity Gene Analysis
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Protein-Protein Interaction Analysis of Common Top Genes in Obsessive-Compulsive Disorder (OCD) and Schizophrenia: Towards New Drug Approach Obsessive-Compulsive disorder (OCD) and Schizophrenia Comorbidity Gene Analysis

机译:强迫症(OCD)和精神分裂症常见常见基因的蛋白质-蛋白质相互作用分析:迈向新药方法强迫症(OCD)和精神分裂症合并症基因分析

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摘要

Comorbidty is common among psychiatric disorders including obsessive-compulsive disorder and schizophrenia with a high rate. Many studies suggested that the disorders may have same etiological bases. In this regard, shared pathways of glutamate, dopaminergic, and serotonin are the known ones. Here, the common significant genes are examined to understand the possible molecular origin of the disorders in terms of sequence and functional features. Exploring the underling mechanisms of OCD and schizophrenia is important to achieve a better treatment options. Methods of Cytoscape software following R statistical software were applied for this purpose. Needleman-Wunsch global alignment algorithm was used to determine pair-wise similarities followed by clustering methods, AGNES and PAM in R statistical programming software. The results indicate that SLC1A1, DRD2, DRD4, BDNF, ESR1, CDH2, GRIN2B, TNFa, GABBR1, and OLIG2 are significantly common for the two disorders and PPI network analysis showed the important key genes in the interaction profile. ESR1 (estrogen receptor α) as a key hub-bottleneck gene regulates many underling mechanisms of the brain. Application of global alignments indicates some of the genes with sequence similarities also elucidate similar biological terms.
机译:合并症在包括强迫症和精神分裂症在内的精神疾病中很常见。许多研究表明,这些疾病可能具有相同的病因基础。在这方面,谷氨酸,多巴胺能和5-羟色胺的共享途径是已知的。在这里,检查了共同的重要基因,以从序列和功能特征方面了解疾病的可能分子起源。探索强迫症和精神分裂症的基本机制对于获得更好的治疗选择很重要。为此,采用了R统计软件之后的Cytoscape软件方法。在R统计编程软件中,使用Needleman-Wunsch全局比对算法确定成对相似性,然后使用聚类方法AGNES和PAM。结果表明,SLC1A1,DRD2,DRD4,BDNF,ESR1,CDH2,GRIN2B,TNFa,GABBR1和OLIG2在这两种疾病中非常常见,PPI网络分析显示了相互作用谱中的重要关键基因。 ESR1(雌激素受体α)是关键的枢纽瓶颈基因,调节着大脑的许多基础机制。全局比对的应用表明一些具有序列相似性的基因也阐明了相似的生物学术语。

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