Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
PLoS One. 2012;7(8):e44175. doi: 10.1371/journal.pone.0044175. Epub 2012 Aug 30.
So far, investigators have found numerous tumor suppressor genes (TSGs) and oncogenes (OCGs) that control cell proliferation and apoptosis during cancer development. Furthermore, TSGs and OCGs may act as modulators of transcription factors (TFs) to influence gene regulation. A comprehensive investigation of TSGs, OCGs, TFs, and their joint target genes at the network level may provide a deeper understanding of the post-translational modulation of TSGs and OCGs to TF gene regulation.
METHODOLOGY/PRINCIPAL FINDINGS: In this study, we developed a novel computational framework for identifying target genes of TSGs and OCGs using TFs as bridges through the integration of protein-protein interactions and gene expression data. We applied this pipeline to ovarian cancer and constructed a three-layer regulatory network. In the network, the top layer was comprised of modulators (TSGs and OCGs), the middle layer included TFs, and the bottom layer contained target genes. Based on regulatory relationships in the network, we compiled TSG and OCG profiles and performed clustering analyses. Interestingly, we found TSGs and OCGs formed two distinct branches. The genes in the TSG branch were significantly enriched in DNA damage and repair, regulating macromolecule metabolism, cell cycle and apoptosis, while the genes in the OCG branch were significantly enriched in the ErbB signaling pathway. Remarkably, their specific targets showed a reversed functional enrichment in terms of apoptosis and the ErbB signaling pathway: the target genes regulated by OCGs only were enriched in anti-apoptosis and the target genes regulated by TSGs only were enriched in the ErbB signaling pathway.
CONCLUSIONS/SIGNIFICANCE: This study provides the first comprehensive investigation of the interplay of TSGs and OCGs in a regulatory network modulated by TFs. Our application in ovarian cancer revealed distinct regulatory patterns of TSGs and OCGs, suggesting a competitive regulatory mechanism acting upon apoptosis and the ErbB signaling pathway through their specific target genes.
迄今为止,研究人员已经发现了许多肿瘤抑制基因(TSGs)和癌基因(OCGs),它们在癌症发展过程中控制细胞增殖和凋亡。此外,TSGs 和 OCGs 可能作为转录因子(TFs)的调节剂,影响基因调控。在网络水平上对 TSGs、OCGs、TFs 及其联合靶基因进行全面研究,可能深入了解 TSGs 和 OCGs 对 TF 基因调控的翻译后修饰。
方法/主要发现:在这项研究中,我们开发了一种新的计算框架,用于通过整合蛋白质-蛋白质相互作用和基因表达数据,使用 TF 作为桥梁来识别 TSGs 和 OCGs 的靶基因。我们将该方法应用于卵巢癌,并构建了一个三层调节网络。在网络中,顶层由调节剂(TSGs 和 OCGs)组成,中层包含 TFs,底层包含靶基因。根据网络中的调节关系,我们编制了 TSG 和 OCG 谱并进行了聚类分析。有趣的是,我们发现 TSGs 和 OCGs 形成了两个不同的分支。TSG 分支中的基因在 DNA 损伤和修复、调节大分子代谢、细胞周期和凋亡方面显著富集,而 OCG 分支中的基因在 ErbB 信号通路中显著富集。值得注意的是,它们的特定靶基因在凋亡和 ErbB 信号通路方面表现出相反的功能富集:仅由 OCG 调节的靶基因在抗凋亡方面富集,仅由 TSG 调节的靶基因在 ErbB 信号通路中富集。
结论/意义:这项研究首次全面研究了 TSGs 和 OCGs 在 TF 调节的调控网络中的相互作用。我们在卵巢癌中的应用揭示了 TSGs 和 OCGs 的不同调节模式,表明通过其特定的靶基因,在凋亡和 ErbB 信号通路中存在竞争性调节机制。