Università della Calabria, Dipartimento di Biologia, Ecologia e Scienze della Terra, Via Pietro Bucci Cubo 6/C, Rende, CS, Italy.
Institute of Cardiovascular Science, University College London, Rayne Building, 5 University Street, London WC1E 6JF, UK.
Biochim Biophys Acta Gene Regul Mech. 2020 Jun;1863(6):194417. doi: 10.1016/j.bbagrm.2019.194417. Epub 2019 Sep 4.
It is well established that the vast majority of human RNA transcripts do not encode for proteins and that non-coding RNAs regulate cell physiology and shape cellular functions. A subset of them is involved in gene regulation at different levels, from epigenetic gene silencing to post-transcriptional regulation of mRNA stability. Notably, the aberrant expression of many non-coding RNAs has been associated with aggressive pathologies. Rapid advances in network biology indicates that the robustness of cellular processes is the result of specific properties of biological networks such as scale-free degree distribution and hierarchical modularity, suggesting that regulatory network analyses could provide new insights on gene regulation and dysfunction mechanisms. In this study we present an overview of public repositories where non-coding RNA-regulatory interactions are collected and annotated, we discuss unresolved questions for data integration and we recall existing resources to build and analyse networks.
大量研究证实,绝大多数人类 RNA 转录本不编码蛋白质,而非编码 RNA 可调节细胞生理机能并塑造细胞功能。其中一部分非编码 RNA 可在不同水平参与基因调控,从表观遗传基因沉默到 mRNA 稳定性的转录后调控。值得注意的是,许多非编码 RNA 的异常表达与侵袭性病理相关。网络生物学的快速发展表明,细胞过程的稳健性是生物网络特定属性的结果,例如无标度度分布和层次模块化,这表明调控网络分析可以为基因调控和功能障碍机制提供新的见解。在这项研究中,我们概述了收集和注释非编码 RNA 调控相互作用的公共数据库,讨论了数据集成的未解决问题,并回顾了构建和分析网络的现有资源。