基于chip - seq的STAT1靶基因的全面分析表明STAT1介导的基因调控机制的复杂性。

Gene regulation and systems biology Pub Date : 2013-03-26 Print Date: 2013-01-01 DOI:10.4137/GRSB.S11433
Jun-Ichi Satoh, Hiroko Tabunoki
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引用次数: 79

摘要

干扰素γ (IFNγ)在巨噬细胞活化、T辅助和调节细胞分化、防御细胞内病原体、组织重塑和肿瘤监测中发挥关键作用。IFNγ的多种生物学功能是通过直接激活信号传感器和转录激活因子1 (STAT1)以及众多下游效应基因介导的。由于STAT1靶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像非常重要。染色质免疫沉淀后深度测序(ChIP-Seq)为dna结合蛋白的全基因组分析提供了一种高效的方法。我们分析了来自ENCODE项目的ifn γ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。我们鉴定了1441个严格的蛋白质编码基因ChIP-Seq峰。它们主要位于启动子区(21.5%)和内含子区(72.2%),存在ifn γ-活化位点(GAS)元件。在1441个STAT1靶基因中,212个基因是已知的ifn调控基因(IRGs),通过转录组分析,194个基因(13.5%)实际上是在IFNγ的作用下上调的。这组上调基因构成了ifn信号分子网络,对宿主防御感染至关重要,其中干扰素调节因子(IRF)和STAT转录因子是生物学上重要的分子连接集中的枢纽。峰位于内含子区的基因对IFNγ的表达水平显著降低。这些结果表明,STAT1与GAS的结合不足以完全激活靶基因,表明STAT1介导的基因调控机制具有高度复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

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 IFNγ 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.

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