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Pathway Network Analyses for Autism Reveal Multisystem Involvement Major Overlaps with Other Diseases and Convergence upon MAPK and Calcium Signaling

机译:孤独症的通路网络分析显示多系统参与与其他疾病的重大重叠以及MAPK和钙信号的收敛

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摘要

We used established databases in standard ways to systematically characterize gene ontologies, pathways and functional linkages in the large set of genes now associated with autism spectrum disorders (ASDs). These conditions are particularly challenging—they lack clear pathognomonic biological markers, they involve great heterogeneity across multiple levels (genes, systemic biological and brain characteristics, and nuances of behavioral manifestations)—and yet everyone with this diagnosis meets the same defining behavioral criteria. Using the human gene list from Simons Foundation Autism Research Initiative (SFARI) we performed gene set enrichment analysis with the Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Database, and then derived a pathway network from pathway-pathway functional interactions again in reference to KEGG. Through identifying the GO (Gene Ontology) groups in which SFARI genes were enriched, mapping the coherence between pathways and GO groups, and ranking the relative strengths of representation of pathway network components, we 1) identified 10 disease-associated and 30 function-associated pathways 2) revealed calcium signaling pathway and neuroactive ligand-receptor interaction as the most enriched, statistically significant pathways from the enrichment analysis, 3) showed calcium signaling pathways and MAPK signaling pathway to be interactive hubs with other pathways and also to be involved with pervasively present biological processes, 4) found convergent indications that the process “calcium-PRC (protein kinase C)-Ras-Raf-MAPK/ERK” is likely a major contributor to ASD pathophysiology, and 5) noted that perturbations associated with KEGG’s category of environmental information processing were common. These findings support the idea that ASD-associated genes may contribute not only to core features of ASD themselves but also to vulnerability to other chronic and systemic problems potentially including cancer, metabolic conditions and heart diseases. ASDs may thus arise, or emerge, from underlying vulnerabilities related to pleiotropic genes associated with pervasively important molecular mechanisms, vulnerability to environmental input and multiple systemic co-morbidities.
机译:我们以标准方式使用已建立的数据库来系统地表征现在与自闭症谱系障碍(ASD)相关的大量基因中的基因本体论,途径和功能联系。这些条件特别具有挑战性-它们缺乏明确的病理学生物学标记,它们在多个层次(基因,系统生物学和脑部特征以及行为表现的细微差别)上涉及很大的异质性-但是具有此诊断的每个人都符合相同的定义的行为标准。使用来自西蒙斯基金会自闭症研究计划(SFARI)的人类基因清单,我们使用《京都基因与基因组百科全书》(KEGG)途径数据库进行了基因集富集分析,然后再次参考途径与途径功能相互作用推导了途径网络凯格通过确定富含SFARI基因的GO(基因本体论)组,绘制通路与GO组之间的相关性,并对通路网络组成部分的代表相对强度进行排名,我们1)确定了10种与疾病相关的功能和30种与功能相关的功能途径2)从富集分析中发现钙信号传导途径和神经活性配体-受体相互作用是最富集的,统计学上显着的途径; 3)显示钙信号传导途径和MAPK信号传导途径是与其他途径的相互作用枢纽,并且也广泛参与目前的生物学过程,4)发现趋同的迹象表明过程“钙-PRC(蛋白激酶C)-Ras-Raf-MAPK / ERK”可能是导致ASD病理生理的主要因素,并且5)指出与KEGG的分类相关的摄动环境信息处理很普遍。这些发现支持这样一种观点,即与ASD相关的基因不仅可以促进ASD自身的核心特征,而且还有助于抵抗其他可能引起癌症,代谢状况和心脏病的慢性和系统性疾病。因此,ASD可能来自与多效性基因相关的潜在漏洞,这些漏洞与普遍重要的分子机制,对环境输入的脆弱性和多种系统性合并症有关。

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