Bernabò Nicola, Mattioli Mauro, Barboni Barbara
Int J Data Min Bioinform. 2015;12(1):59-69. doi: 10.1504/ijdmb.2015.068953.
In this paper we represented Spermatozoa Activation (SA) the process that leads male gametes to reach their fertilising ability of sea urchin, Caenorhabditis elegans and human as biological networks, i.e. as networks of nodes (molecules) linked by edges (their interactions). Then, we compared them with networks representing ten pathways of relevant physio-pathological importance and with a computer-generated network. We have found that the number of nodes and edges composing each network is not related with the amount of published papers on each specific topic and that all the topological parameters examined are similar in all the networks, thus conferring them a scale free topology and small world behaviour. In conclusion, SA topology, independently from the reproductive biology of considered organism, as others signalling networks is characterised by robustness against random failure, controllability and efficiency in signal transmission.
在本文中，我们将精子激活（SA）过程表示为生物网络，即由边（它们的相互作用）连接的节点（分子）网络，该过程使海胆、秀丽隐杆线虫和人类的雄配子达到其受精能力。然后，我们将它们与代表具有相关生理病理重要性的十条途径的网络以及计算机生成的网络进行了比较。我们发现，构成每个网络的节点和边的数量与关于每个特定主题的已发表论文数量无关，并且所有检查的拓扑参数在所有网络中都是相似的，从而赋予它们无标度拓扑和小世界行为。总之，与其他信号网络一样，SA拓扑独立于所考虑生物体的生殖生物学，其特征在于对随机故障具有鲁棒性、可控性和信号传输效率。
