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DRUG-INDUCED mRNA SIGNATURES ARE ENRICHED FOR THE MINORITY OF GENES THAT ARE HIGHLY HERITABLE

机译:药物诱导的mRNA签名富集为具有高度遗传性的少数基因

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The blood gene expression signatures are used as biomarkers for immunological and non-immunological diseases.1 Therefore, it is important to understand the variation in blood gene expression patterns and the factors (heritable/non-heritable) that underlie this variation. In this paper, we study the relationship between drug effects on the one hand, and heritable and non-heritable factors influencing gene expression on the other. Understanding of this relationship can help select appropriate targets for drugs aimed at reverting disease phenotypes to healthy states. In order to estimate heritable and non-heritable effects on gene expression, we use Twin-ACE model on a gene expression dataset MuTHER,2 measured in blood samples from monozygotic and dizygotic twins. In order to associate gene expression with drug effects, we use CMap3,4 database. We show that, even though the expressions of most genes are driven by non-heritable factors, drugs are more likely to influence expression of genes, driven by heritable rather than non-heritable factors. We further study this finding in the context of a gene regulatory network. We investigate the relationship between the drug effects on gene expression and propagation of heritable and non-heritable factors through regulatory networks. We find that the decisive factor in determining whether a gene will be influenced by a drug is the flow of heritable effects supplied to the gene through regulatory network.
机译:血基因表达签名用作免疫学和非免疫疾病的生物标志物.1因此,了解血基因表达模式的变异和这种变异的因素(遗传/不可遗传)的变异非常重要。在本文中,我们研究了一种对药物效应之间的关系,以及影响其他基因表达的遗传和不可遗传因素。理解这种关系可以帮助选择适当的药物目标,旨在将疾病表型恢复健康状态。为了估算对基因表达的遗传和不可遗传的影响,我们在基因表达数据集脉冲上使用双架模型,从单义根和脑下双胞胎中的血液样本中测量。为了将基因表达与药物效应相关联,我们使用CMAP3,4数据库。我们表明,即使大多数基因的表达是由不可遗传的因素驱动的,毒品更可能影响基因的表达,由遗传而不是不可遗传的因素。我们进一步在基因监管网络的背景下研究了这一发现。我们通过监管网络调查药物对基因表达和遗传和不可遗传因素传播之间的关系。我们发现确定基因是否受药物影响的决定性因素是通过调节网络提供给基因的遗传效应的流动。

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