Community structure of non-coding RNA interaction network
Community structure of non-coding RNA interaction network
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DOI：
10.2390/biecoll-jib-2013-217
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发表时间：
2013-04
影响因子：
1.9
通讯作者：
J. Nacher
中科院分区：
文献类型：
--
作者：
J. Nacher
快速的技术进步表明，人类非蛋白质编码基因的比例上升到98.5%，这表明目前对遗传信息处理的知识可能在很大程度上是不完整的。这意味着蛋白质编码序列仅代表细胞转录信息的一小部分。在这里，我们研究的社区结构的网络定义的功能之间的相互作用的非编码RNA（ncRNA）和蛋白质相关的生物大分子（PRM）使用两种方法：模块化的二分网络和k-团社区检测。首先，高模块化分数以及社区规模的分布显示出明显的非随机特征。第二，k-团子图和重叠表明，已鉴定的H. sapiens智人can potentially潜在be associated关联with certain某些functions功能.这些发现强调了ncRNA相互作用的复杂模块结构及其在细胞中可能的调控作用。
Rapid technological advances have shown that the ratio of non-protein coding genes rises to 98.5% in humans, suggesting that current knowledge on genetic information processing might be largely incomplete. It implies that protein-coding sequences only represent a small fraction of cellular transcriptional information. Here, we examine the community structure of the network defined by functional interactions between non-coding RNAs (ncRNAs) and proteins related bio-macromolecules (PRMs) using a two-fold approach: modularity in bipartite network and k-clique community detection. First, the high modularity scores as well as the distribution of community sizes showing a scaling-law revealed manifestly non-random features. Second, the k-clique sub-graphs and overlaps show that the identified communities of the ncRNA molecules of H. sapiens can potentially be associated with certain functions. These findings highlight the complex modular structure of ncRNA interactions and its possible regulatory roles in the cell.