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A Comprehensive Profile of ChIP-Seq-Based STAT1 Target Genes Suggests the Complexity of STAT1-Mediated Gene Regulatory Mechanisms

机译:基于ChIP-Seq的STAT1目标基因的全面概况表明STAT1介导的基因调控机制的复杂性。

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Interferon-gamma (IFNγ) plays a key role in macrophage activation, T helper and regulatory cell differentiation, defense against intracellular pathogens, tissue remodeling, and tumor surveillance. The diverse biological functions of IFN? are mediated by direct activation of signal transducer and activator of transcription 1 (STAT1) as well as numerous downstream effector genes. Because a perturbation in STAT1 target gene networks is closely associated with development of autoimmune diseases and cancers, it is important to characterize the global picture of these networks. Chromatin immunoprecipitation followed by deep sequencing (ChIP-Seq) provides a highly efficient method for genome-wide profiling of DNA-binding proteins. We analyzed the STAT1 ChIP-Seq dataset of IFNγ-stimulated HeLa S3 cells derived from the ENCODE project, along with transcriptome analysis on microarray. We identified 1,441 stringent ChIP-Seq peaks of protein-coding genes. They were located in the promoter (21.5%) and more often in intronic regions (72.2%) with an existence of IFNγ-activated site (GAS) elements. Among the 1,441 STAT1 target genes, 212 genes are known IFN-regulated genes (IRGs) and 194 genes (13.5%) are actually upregulated in response to IFNγ by transcriptome analysis. The panel of upregulated genes constituted IFN-signaling molecular networks pivotal for host defense against infections, where interferon-regulatory factor (IRF) and STAT transcription factors serve as a hub on which biologically important molecular connections concentrate. The genes with the peak location in intronic regions showed significantly lower expression levels in response to IFNγ. These results indicate that the binding of STAT1 to GAS is not sufficient to fully activate target genes, suggesting the high complexity of STAT1-mediated gene regulatory mechanisms.
机译:干扰素-γ(IFNγ)在巨噬细胞活化,T辅助细胞和调节性细胞分化,对细胞内病原体的防御,组织重塑和肿瘤监测中起着关键作用。 IFN的多种生物学功能?通过信号转导和转录激活因子1(STAT1)以及许多下游效应子基因的直接激活介导了这些蛋白。由于STAT1目标基因网络的扰动与自身免疫性疾病和癌症的发展密切相关,因此表征这些网络的全局图景非常重要。染色质免疫沉淀后再进行深度测序(ChIP-Seq)为DNA结合蛋白的全基因组谱分析提供了一种高效的方法。我们分析了来自ENCODE项目的IFNγ刺激的HeLa S3细胞的STAT1 ChIP-Seq数据集,以及微阵列上的转录组分析。我们确定了1,441个严格的ChIP-Seq蛋白质编码基因峰。它们位于启动子(21.5%)中,更常位于具有IFNγ激活位点(GAS)元件的内含子区域(72.2%)。在1,441个STAT1目标基因中,有212个基因是已知的IFN调控基因(IRG),而通过转录组分析,对IFNγ的响应实际上是194个基因(13.5%)上调。上调的基因组构成了对宿主防御感染至关重要的IFN信号分子网络,其中干扰素调节因子(IRF)和STAT转录因子是重要生物学分子连接集中的枢纽。内含子区域中具有峰值位置的基因显示出对IFNγ响应的明显较低的表达水平。这些结果表明,STAT1与GAS的结合不足以完全激活靶基因,这表明STAT1介导的基因调控机制非常复杂。

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