He Feng Q, Sauermann Ulrike, Beer Christiane, Winkelmann Silke, Yu Zheng, Sopper Sieghart, Zeng An-Ping, Wirth Manfred
Epigenetic Regulation Mechanisms, Helmholtz Centre for Infection Research (HZI), Inhoffenstr, 7, 38124 Braunschweig, Germany.
Virol J. 2014 Aug 27;11:152. doi: 10.1186/1743-422X-11-152.
The deciphering of cellular networks to determine susceptibility to infection by HIV or the related simian immunodeficiency virus (SIV) is a major challenge in infection biology.
Here, we have compared gene expression profiles of a human CD4+ T cell line at 24 h after infection with a cell line of the same origin permanently releasing SIVmac. A new knowledge-based-network approach (Inter-Chain-Finder, ICF) has been used to identify sub-networks associated with cell survival of a chronically SIV-infected T cell line. Notably, the method can identify not only differentially expressed key hub genes but also non-differentially expressed, critical, 'hidden' regulators. Six out of the 13 predicted major hidden key regulators were among the landscape of proteins known to interact with HIV. Several sub-networks were dysregulated upon chronic infection with SIV. Most prominently, factors reported to be engaged in early stages of acute viral infection were affected, e.g. entry, integration and provirus transcription and other cellular responses such as apoptosis and proliferation were modulated. For experimental validation of the gene expression analyses and computational predictions, individual pathways/sub-networks and significantly altered key regulators were investigated further. We showed that the expression of caveolin-1 (Cav-1), the top hub in the affected protein-protein interaction network, was significantly upregulated in chronically SIV-infected CD4+ T cells. Cav-1 is the main determinant of caveolae and a central component of several signal transduction pathways. Furthermore, CD4 downregulation and modulation of the expression of alternate and co-receptors as well as pathways associated with viral integration into the genome were also observed in these cells. Putatively, these modifications interfere with re-infection and the early replication cycle and inhibit cell death provoked by syncytia formation and bystander apoptosis.
Thus, by using the novel approach for network analysis, ICF, we predict that in the T cell line chronically infected with SIV, cellular processes that are known to be crucial for early phases of HIV/SIV replication are altered and cellular responses that result in cell death are modulated. These modifications presumably contribute to cell survival despite chronic infection.
解析细胞网络以确定对HIV或相关猿猴免疫缺陷病毒(SIV)感染的易感性是感染生物学中的一项重大挑战。
在此,我们比较了人类CD4+ T细胞系在感染永久释放SIVmac的同源细胞系24小时后的基因表达谱。一种基于新知识的网络方法(链间发现者,ICF)已被用于识别与慢性SIV感染的T细胞系细胞存活相关的子网络。值得注意的是,该方法不仅可以识别差异表达的关键枢纽基因,还可以识别非差异表达的关键“隐藏”调节因子。预测的13个主要隐藏关键调节因子中有6个在已知与HIV相互作用的蛋白质范围内。慢性感染SIV后,几个子网络失调。最显著的是,据报道参与急性病毒感染早期阶段的因子受到影响,例如进入、整合和原病毒转录,以及其他细胞反应如凋亡和增殖也受到调节。为了对基因表达分析和计算预测进行实验验证,进一步研究了各个途径/子网络和显著改变的关键调节因子。我们表明,在慢性SIV感染的CD4+ T细胞中,受影响的蛋白质-蛋白质相互作用网络中的顶级枢纽小窝蛋白-1(Cav-1)的表达显著上调。Cav-1是小窝的主要决定因素,也是几种信号转导途径的核心组成部分。此外,在这些细胞中还观察到CD4下调以及替代受体和共受体表达的调节以及与病毒整合到基因组相关的途径。推测这些修饰会干扰再感染和早期复制周期,并抑制由合胞体形成和旁观者凋亡引起的细胞死亡。
因此,通过使用网络分析的新方法ICF,我们预测在慢性感染SIV的T细胞系中,已知对HIV/SIV复制早期阶段至关重要的细胞过程会发生改变,导致细胞死亡的细胞反应会受到调节。这些修饰可能有助于细胞在慢性感染状态下存活。