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首页> 外文期刊>Frontiers in Molecular Neuroscience >Integrating Genetic and Gene Co-expression Analysis Identifies Gene Networks Involved in Alcohol and Stress Responses
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Integrating Genetic and Gene Co-expression Analysis Identifies Gene Networks Involved in Alcohol and Stress Responses

机译:整合遗传和基因共表达分析可确定涉及酒精和应激反应的基因网络

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Although the link between stress and alcohol is well recognized, the underlying mechanisms of how they interplay at the molecular level remain unclear. The purpose of this study is to identify molecular networks underlying the effects of alcohol and stress responses, as well as their interaction on anxiety behaviors in the hippocampus of mice using a systems genetics approach. Here, we applied a gene co-expression network approach to transcriptomes of 41 BXD mouse strains under four conditions: stress, alcohol, stress-induced alcohol and control. The co-expression analysis identified 14 modules and characterized four expression patterns across the four conditions. The four expression patterns include up-regulation in no restraint stress and given an ethanol injection (NOE) but restoration in restraint stress followed by an ethanol injection (RSE; pattern 1), down-regulation in NOE but rescue in RSE (pattern 2), up-regulation in both restraint stress followed by a saline injection (RSS) and NOE, and further amplification in RSE (pattern 3), and up-regulation in RSS but reduction in both NOE and RSE (pattern 4). We further identified four functional subnetworks by superimposing protein-protein interactions (PPIs) to the 14 co-expression modules, including γ-aminobutyric acid receptor (GABA) signaling, glutamate signaling, neuropeptide signaling, cAMP-dependent signaling. We further performed module specificity analysis to identify modules that are specific to stress, alcohol, or stress-induced alcohol responses. Finally, we conducted causality analysis to link genetic variation to these identified modules, and anxiety behaviors after stress and alcohol treatments. This study underscores the importance of integrative analysis and offers new insights into the molecular networks underlying stress and alcohol responses.
机译:尽管压力和酒精之间的联系已得到公认,但它们如何在分子水平上相互作用的潜在机制仍不清楚。这项研究的目的是使用系统遗传学方法,识别酒精和应激反应的潜在分子网络,以及它们对小鼠海马焦虑行为的相互作用。在这里,我们将基因共表达网络方法应用于41种BXD小鼠品系在四个条件下的转录组:应激,酒精,应激诱导的酒精和对照。共表达分析鉴定了14个模块,并表征了四种条件下的四种表达模式。四种表达模式包括无约束应激时的上调和给予乙醇注射(NOE),但在限制性应激中恢复,随后进行乙醇注射(RSE;模式1),NOE的下调但在RSE中得以缓解(模式2)。 ,在施加生理盐水(RSS)和NOE后的约束压力上调,并在RSE中进一步放大(模式3),在RSS中上调,但NOE和RSE均降低(模式4)。我们通过将蛋白质-蛋白质相互作用(PPI)叠加到14个共表达模块上,进一步确定了四个功能子网,包括γ-氨基丁酸受体(GABA)信号,谷氨酸信号,神经肽信号,cAMP依赖性信号。我们进一步进行了模块特异性分析,以识别特定于压力,酒精或压力诱导的酒精反应的模块。最后,我们进行了因果关系分析,以将遗传变异与这些已确定的模块以及应激和酒精治疗后的焦虑行为联系起来。这项研究强调了综合分析的重要性,并提供了对压力和酒精反应基础分子网络的新见解。

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