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De novo missense variants disrupting protein–protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types

机译:De Novo Missense Variants破坏蛋白质 - 蛋白质相互作用影响自闭症的风险通过神经细胞类型中的基因共表达和蛋白质网络影响自闭症

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摘要

Abstract Background Whole-exome sequencing studies have been useful for identifying genes that, when mutated, affect risk for autism spectrum disorder (ASD). Nonetheless, the association signal primarily arises from de novo protein-truncating variants, as opposed to the more common missense variants. Despite their commonness in humans, determining which missense variants affect phenotypes and how remains a challenge. We investigate the functional relevance of de novo missense variants, specifically whether they are likely to disrupt protein interactions, and nominate novel genes in risk for ASD through integrated genomic, transcriptomic, and proteomic analyses. Methods Utilizing our previous interactome perturbation predictor, we identify a set of missense variants that are likely disruptive to protein–protein interactions. For genes encoding the disrupted interactions, we evaluate their expression patterns across developing brains and within specific cell types, using both bulk and inferred cell-type-specific brain transcriptomes. Connecting all disrupted pairs of proteins, we construct an “ASD disrupted network.” Finally, we integrate protein interactions and cell-type-specific co-expression networks together with published association data to implicate novel genes in ASD risk in a cell-type-specific manner. Results Extending earlier work, we show that de novo missense variants that disrupt protein interactions are enriched in individuals with ASD, often affecting hub proteins and disrupting hub interactions. Genes encoding disrupted complementary interactors tend to be risk genes, and an interaction network built from these proteins is enriched for ASD proteins. Consistent with other studies, genes identified by disrupted protein interactions are expressed early in development and in excitatory and inhibitory neuronal lineages. Using inferred gene co-expression for three neuronal cell types—excitatory, inhibitory, and neural progenitor—we implicate several hundred genes in risk (FDR  $$le hspace{0.17em}$$ ≤ 0.05), ~ 60% novel, with characteristics of genuine ASD genes. Across cell types, these genes affect neuronal morphogenesis and neuronal communication, while neural progenitor cells show strong enrichment for development of the limbic system. Limitations Some analyses use the imperfect guilt-by-association principle; results are statistical, not functional. Conclusions Disrupted protein interactions identify gene sets involved in risk for ASD. Their gene expression during brain development and within cell types highlights how they relate to ASD.
机译:摘要背景全外显子组测序研究是有益的,用于识别的基因突变时,会影响对自闭症谱系障碍(ASD)的风险。然而,关联信号主要起因于从头蛋白截断变异体,而不是较常见的错义变异体。尽管他们在人类共性,确定哪些错义变异影响的表型,以及如何仍然是一个挑战。我们调查的从头错义变种的功能相关,他们专门是否会破坏蛋白质的相互作用,并提名通过综合基因组,转录组,蛋白质组和分析在ASD风险的新基因。方法利用我们之前的相互作用组学扰动的预测,我们确定了一组错义变异有可能破坏性的蛋白质 - 蛋白质相互作用的。用于编码所述破坏相互作用的基因,我们评估它们的表达模式横跨显影大脑和特定的细胞类型中,同时使用散装和推断细胞类型特异性脑转录。连接所有破坏对蛋白质,我们构建一个“ASD扰乱网络。”最后,我们整合与已发表的关联数据蛋白相互作用和细胞类型特异性的共表达网络一起牵连在ASD风险的新基因在细胞类型特异性的方式。结果延长先前的工作,我们表明,从头错义突变的变种,破坏蛋白质相互作用与ASD个体丰富,往往影响到枢纽蛋白质和破坏枢纽作用。编码扰乱互补相互作用物基因趋向于风险基因,并从这些蛋白质构建交互网络富集ASD蛋白质。与其他研究一致,通过破坏蛋白质相互作用确定的基因表达在开发早期和兴奋性和抑制性神经元谱系。使用推断基因共表达三个神经元细胞类型,兴奋性,抑制,和神经祖-我们牵连在风险几百个基因(FDR $$ 文件 HSPACE {0.17em} $$≤0.05),〜60%的小说,与真正的ASD的基因特征。跨类型的细胞中,这些基因影响神经元的形态发生和神经元沟通,而神经祖细胞显示边缘系统的发展提供强有力的富集。限制有分析使用不完善的内疚通过关联原则;结果统计,不起作用。结论打乱蛋白质相互作用鉴定涉及的ASD风险的基因集。大脑发育过程中和细胞内的各类亮点它们如何与ASD它们的基因表达。

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