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A Model of Glucocorticoid Receptor Interaction With Coregulators Predicts Transcriptional Regulation of Target Genes

机译:糖皮质激素受体与coregulators相互作用的模型预测目标基因的转录调控。

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Regulatory factors that control gene transcription in multicellular organisms are assembled in multicomponent complexes by combinatorial interactions. In this context, nuclear receptors provide well-characterized and physiologically relevant systems to study ligand-induced transcription resulting from the integration of cellular and genomic information in a cell- and gene-specific manner. Here, we developed a mathematical model describing the interactions between the glucocorticoid receptor (GR) and other components of a multifactorial regulatory complex controlling the transcription of GR-target genes, such as coregulator peptides. We support the validity of the model in relation to gene-specific GR transactivation with gene transcription data from A549 cells and in vitro real time quantification of coregulator-GR interactions. The model accurately describes and helps to interpret ligand-specific and gene-specific transcriptional regulation by the GR. The comprehensive character of the model allows future insight into the function and relative contribution of the molecular species proposed in ligand- and gene-specific transcriptional regulation.
机译:通过组合相互作用将控制多细胞生物中基因转录的调控因子组装成多组分复合物。在这种情况下,核受体提供了充分表征的和生理学相关的系统,以研究由细胞和基因组信息以细胞和基因特异性方式整合而产生的配体诱导的转录。在这里,我们建立了一个数学模型,描述了糖皮质激素受体(GR)与控制GR目标基因(例如共调肽)转录的多因素调节复合物的其他成分之间的相互作用。我们支持该模型在A549细胞基因转录数据与基因特异性GR反式激活以及coregulator-GR相互作用的体外实时定量方面的有效性。该模型可准确描述并有助于解释GR的配体特异性和基因特异性转录调控。该模型的综合特征使我们能够对配体和基因特异性转录调控中提出的分子种类的功能和相对贡献进行深入了解。

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