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High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sites

机译:高通量的染色质信息可准确预测转录因子结合位点的组织特异性

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摘要

In silico prediction of transcription factor binding sites (TFBSs) is central to the task of gene regulatory network elucidation. Genomic DNA sequence information provides a basis for these predictions, due to the sequence specificity of TF-binding events. However, DNA sequence alone is an impoverished source of information for the task of TFBS prediction in eukaryotes, as additional factors, such as chromatin structure regulate binding events. We show that incorporating high-throughput chromatin modification estimates can greatly improve the accuracy of in silico prediction of in vivo binding for a wide range of TFs in human and mouse. This improvement is superior to the improvement gained by equivalent use of either transcription start site proximity or phylogenetic conservation information. Importantly, predictions made with the use of chromatin structure information are tissue specific. This result supports the biological hypothesis that chromatin modulates TF binding to produce tissue-specific binding profiles in higher eukaryotes, and suggests that the use of chromatin modification information can lead to accurate tissue-specific transcriptional regulatory network elucidation.
机译:在计算机上预测转录因子结合位点(TFBS)是基因调控网络阐明任务的关键。由于TF结合事件的序列特异性,基因组DNA序列信息为这些预测提供了基础。然而,DNA序列是真核生物中TFBS预测任务的贫困信息来源,因为染色质结构等其他因素可调节结合事件。我们表明,结合高通量的染色质修饰估计值可以大大提高在计算机上预测人类和小鼠中广泛TF的体内结合的准确性。这种改进优于通过等效使用转录起始位点邻近性或系统发生保守性信息获得的改进。重要的是,使用染色质结构信息做出的预测是组织特异性的。该结果支持了生物假说,即染色质调节TF结合以在高级真核生物中产生组织特异性结合谱,并表明染色质修饰信息的使用可导致准确的组织特异性转录调控网络阐明。

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