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Clustered ChIP-Seq-defined transcription factor binding sites and histone modifications map distinct classes of regulatory elements

机译:簇状ChIP-Seq定义的转录因子结合位点和组蛋白修饰可映射不同类别的调控元件

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Background Transcription factor binding to DNA requires both an appropriate binding element and suitably open chromatin, which together help to define regulatory elements within the genome. Current methods of identifying regulatory elements, such as promoters or enhancers, typically rely on sequence conservation, existing gene annotations or specific marks, such as histone modifications and p300 binding methods, each of which has its own biases. Results Herein we show that an approach based on clustering of transcription factor peaks from high-throughput sequencing coupled with chromatin immunoprecipitation (Chip-Seq) can be used to evaluate markers for regulatory elements. We used 67 data sets for 54 unique transcription factors distributed over two cell lines to create regulatory element clusters. By integrating the clusters from our approach with histone modifications and data for open chromatin, we identified general methylation of lysine 4 on histone H3 (H3K4me) as the most specific marker for transcription factor clusters. Clusters mapping to annotated genes showed distinct patterns in cluster composition related to gene expression and histone modifications. Clusters mapping to intergenic regions fall into two groups either directly involved in transcription, including miRNAs and long noncoding RNAs, or facilitating transcription by long-range interactions. The latter clusters were specifically enriched with H3K4me1, but less with acetylation of lysine 27 on histone 3 or p300 binding. Conclusion By integrating genomewide data of transcription factor binding and chromatin structure and using our data-driven approach, we pinpointed the chromatin marks that best explain transcription factor association with different regulatory elements. Our results also indicate that a modest selection of transcription factors may be sufficient to map most regulatory elements in the human genome.
机译:背景转录因子与DNA的结合既需要适当的结合元件,又需要适当的开放染色质,它们共同有助于在基因组中定义调控元件。鉴定调控元件如启动子或增强子的当前方法通常依赖于序列保守性,现有基因注释或特定标记,例如组蛋白修饰和p300结合方法,每种方法都有其自身的偏见。结果在本文中,我们表明基于高通量测序的转录因子峰聚类并结合染色质免疫沉淀(Chip-Seq)的方法可用于评估调控元件的标记。我们将67个数据集用于分布在两个细胞系中的54个独特转录因子,以创建调控元件簇。通过将来自我们方法的簇与组蛋白修饰和开放染色质数据进行整合,我们确定组蛋白H3(H3K4me)上赖氨酸4的总体甲基化是转录因子簇的最特异性标记。映射到带注释的基因的簇显示与基因表达和组蛋白修饰相关的簇组成中的独特模式。映射到基因间区域的簇分为两组,它们直接参与转录,包括miRNA和长的非编码RNA,或通过长距离相互作用促进转录。后面的簇特别富集了H3K4me1,但在组蛋白3或p300结合上的赖氨酸27乙酰化却少了。结论通过整合转录因子结合和染色质结构的全基因组数据并使用我们的数据驱动方法,我们查明了最能解释转录因子与不同调控元件关联的染色质标记。我们的结果还表明,适度选择转录因子可能足以绘制人类基因组中的大多数调控元件。

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