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增强子 RNA 谱分析可预测转录因子活性。

Enhancer RNA profiling predicts transcription factor activity.

机构信息

Department of Computer Science, University of Colorado, Boulder, Colorado 80309, USA.

BioFrontiers Institute, University of Colorado, Boulder, Colorado 80309, USA.

出版信息

Genome Res. 2018 Mar 1;28(3):334-344. doi: 10.1101/gr.225755.117.

Abstract

Transcription factors (TFs) exert their regulatory influence through the binding of enhancers, resulting in coordination of gene expression programs. Active enhancers are often characterized by the presence of short, unstable transcripts termed enhancer RNAs (eRNAs). While their function remains unclear, we demonstrate that eRNAs are a powerful readout of TF activity. We infer sites of eRNA origination across hundreds of publicly available nascent transcription data sets and show that eRNAs initiate from sites of TF binding. By quantifying the colocalization of TF binding motif instances and eRNA origins, we derive a simple statistic capable of inferring TF activity. In doing so, we uncover dozens of previously unexplored links between diverse stimuli and the TFs they affect.

摘要

转录因子 (TFs) 通过结合增强子发挥其调节作用,从而协调基因表达程序。活性增强子通常具有短而不稳定的转录本,称为增强子 RNA (eRNA)。虽然它们的功能尚不清楚,但我们证明 eRNA 是 TF 活性的有力读出器。我们推断了数百个公开可用的新生转录数据集的 eRNA 起始位点,并表明 eRNA 起始于 TF 结合位点。通过量化 TF 结合基序实例和 eRNA 起源的共定位,我们得出了一个简单的统计量,能够推断 TF 的活性。这样,我们揭示了数十个以前未知的不同刺激物与它们所影响的 TF 之间的联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13c0/5848612/a629e7042770/334_F1.jpg

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