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Synthetic STARR-seq reveals how DNA shape and sequence modulate transcriptional output and noise

机译:合成STARR-seq揭示了DNA形状和序列如何调节转录输出和噪音

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摘要

The binding of transcription factors to short recognition sequences plays a pivotal role in controlling the expression of genes. The sequence and shape characteristics of binding sites influence DNA binding specificity and have also been implicated in modulating the activity of transcription factors downstream of binding. To quantitatively assess the transcriptional activity of tens of thousands of designed synthetic sites in parallel, we developed a synthetic version of STARR-seq (synSTARR-seq). We used the approach to systematically analyze how variations in the recognition sequence of the glucocorticoid receptor (GR) affect transcriptional regulation. Our approach resulted in the identification of a novel highly active functional GR binding sequence and revealed that sequence variation both within and flanking GR’s core binding site can modulate GR activity without apparent changes in DNA binding affinity. Notably, we found that the sequence composition of variants with similar activity profiles was highly diverse. In contrast, groups of variants with similar activity profiles showed specific DNA shape characteristics indicating that DNA shape may be a better predictor of activity than DNA sequence. Finally, using single cell experiments with individual enhancer variants, we obtained clues indicating that the architecture of the response element can independently tune expression mean and cell-to cell variability in gene expression (noise). Together, our studies establish synSTARR as a powerful method to systematically study how DNA sequence and shape modulate transcriptional output and noise.
机译:转录因子与短识别序列的结合在控制基因表达中起关键作用。结合位点的序列和形状特征影响DNA结合特异性,并且还涉及调节结合下游的转录因子的活性。为了定量评估并行设计的数万个合成位点的转录活性,我们开发了STARR-seq(synSTARR-seq)的合成版本。我们使用该方法来系统地分析糖皮质激素受体(GR)识别序列的变化如何影响转录调控。我们的方法鉴定出了一种新型的高活性功能性GR结合序列,并揭示了GR核心结合位点及其两侧的序列变异都可以调节GR活性,而DNA结合亲和力没有明显变化。值得注意的是,我们发现具有相似活性谱的变体的序列组成是高度多样的。相反,具有相似活性分布的变体组显示出特定的DNA形状特征,表明DNA形状可能比DNA序列更好地预测活性。最后,使用具有单个增强子变体的单细胞实验,我们获得了线索,表明响应元件的体系结构可以独立调节基因表达(噪声)中的表达均值和细胞间变异性。总之,我们的研究将synSTARR确立为系统研究DNA序列和形状如何调控转录输出和噪声的有力方法。

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