Lomonosov Moscow State University, Leninskie Gory 1, 119991, Moscow, Russia.
SRC Bioclinicum, Ugreshskaya str. 2/85, 115088, Moscow, Russia.
Sci Rep. 2018 Feb 5;8(1):2418. doi: 10.1038/s41598-018-20215-5.
MicroRNAs (miRNAs) are a family of short noncoding RNAs that posttranscriptionally regulate gene expression and play an important role in multiple cellular processes. A significant percentage of miRNAs are intragenic, which is often functionally related to their host genes playing either antagonistic or synergistic roles. In this study, we constructed and analyzed the entire network of intergenic interactions induced by intragenic miRNAs. We further focused on the core of this network, which was defined as a union of nontrivial strongly connected components, i.e., sets of nodes (genes) mutually connected via directed paths. Both the entire network and its core possessed statistically significant non-random properties. Specifically, genes forming the core had high expression levels and low expression variance. Furthermore, the network core did not split into separate components corresponding to individual signalling or metabolic pathways, but integrated genes involved in key cellular processes, including DNA replication, transcription, protein homeostasis and cell metabolism. We suggest that the network core, consisting of genes mutually regulated by their intragenic miRNAs, could coordinate adjacent pathways or homeostatic control circuits, serving as a horizontal inter-circuit link. Notably, expression patterns of these genes had an efficient prognostic potential for breast and colorectal cancer patients.
微小 RNA(miRNA)是一类短的非编码 RNA,它们在后转录水平上调节基因表达,在多种细胞过程中发挥重要作用。很大一部分 miRNA 是基因内的,这通常与其宿主基因在功能上相关,起到拮抗或协同的作用。在这项研究中,我们构建并分析了由基因内 miRNA 诱导的基因间相互作用的整个网络。我们进一步关注这个网络的核心,它被定义为非平凡强连通分量的并集,即通过有向路径相互连接的节点(基因)集合。整个网络及其核心都具有统计学上显著的非随机特性。具体来说,构成核心的基因具有高表达水平和低表达方差。此外,该网络核心并没有分裂成对应于单个信号或代谢途径的单独组件,而是整合了参与关键细胞过程的基因,包括 DNA 复制、转录、蛋白质稳态和细胞代谢。我们认为,由其基因内 miRNA 相互调控的基因组成的网络核心可以协调相邻的通路或动态平衡控制回路,作为水平的电路间连接。值得注意的是,这些基因的表达模式对乳腺癌和结直肠癌患者具有有效的预后潜力。