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From the Cover: Integrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environments

机译:从封面开始:整合的转录和竞争性内源RNA网络在宽松的分子环境中被交叉调控

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摘要

Competitive endogenous (ce)RNAs cross-regulate each other through sequestration of shared microRNAs and form complex regulatory networks based on their microRNA signature. However, the molecular requirements for ceRNA cross-regulation and the extent of ceRNA networks remain unknown. Here, we present a mathematical mass-action model to determine the optimal conditions for ceRNA activity in silico. This model was validated using phosphatase and tensin homolog (PTEN) and its ceRNA VAMP (vesicle-associated membrane protein)-associated protein A (VAPA) as paradigmatic examples. A computational assessment of the complexity of ceRNA networks revealed that transcription factor and ceRNA networks are intimately intertwined. Notably, we found that ceRNA networks are responsive to transcription factor up-regulation or their aberrant expression in cancer. Thus, given optimal molecular conditions, alterations of one ceRNA can have striking effects on integrated ceRNA and transcriptional networks.
机译:竞争性内源(ce)RNA通过螯合共享的microRNA相互交叉调控,并基于其microRNA签名形成复杂的调控网络。但是,对ceRNA交叉调控的分子要求和ceRNA网络的范围仍然未知。在这里,我们提出了一个数学质量模型来确定计算机上ceRNA活性的最佳条件。使用磷酸酶和张力蛋白同源物(PTEN)及其与ceRNA VAMP(囊泡相关的膜蛋白)相关的蛋白A(VAPA)作为范例验证了该模型。 ceRNA网络的复杂性的计算评估表明,转录因子和ceRNA网络紧密地交织在一起。值得注意的是,我们发现ceRNA网络对转录因子上调或其在癌症中的异常表达有反应。因此,在最佳分子条件下,一种ceRNA的改变可能对整合的ceRNA和转录网络产生惊人的影响。

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