Satoh Jun-Ichi, Tabunoki Hiroko
Department of Bioinformatics and Molecular Neuropathology, Meiji Pharmaceutical, University, Noshio, Kiyose, Tokyo, Japan.
Gene Regul Syst Bio. 2013 Mar 26;7:41-56. doi: 10.4137/GRSB.S11433. Print 2013.
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.
γ干扰素(IFNγ)在巨噬细胞活化、辅助性T细胞和调节性细胞分化、抵御细胞内病原体、组织重塑以及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转导和转录激活因子1(STAT1)以及众多下游效应基因来介导的。由于STAT1靶基因网络的紊乱与自身免疫性疾病和癌症的发展密切相关,因此描绘这些网络的全局情况很重要。染色质免疫沉淀结合深度测序(ChIP-Seq)为全基因组分析DNA结合蛋白提供了一种高效方法。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,并进行了微阵列转录组分析。我们鉴定出1441个蛋白质编码基因的严格ChIP-Seq峰。它们位于启动子区域(21.5%),更常见于内含子区域(72.2%),且存在IFNγ激活位点(GAS)元件。在这1441个STAT1靶基因中,212个基因是已知的IFN调节基因(IRG),通过转录组分析发现194个基因(13.5%)在IFNγ刺激下实际上调。上调基因组成了宿主抵御感染的关键IFN信号分子网络,其中干扰素调节因子(IRF)和STAT转录因子作为枢纽,生物学上重要的分子连接集中于此。峰位于内含子区域的基因在IFNγ刺激下表达水平显著较低。这些结果表明STAT1与GAS的结合不足以完全激活靶基因,提示STAT1介导的基因调控机制高度复杂。