精子激活中的信号转导与其他信号通路的比较:一项生物网络研究。

IF 0.2 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Nicola Bernabò, Mauro Mattioli, Barbara Barboni
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引用次数: 13

摘要

在本文中,我们将海胆、秀丽隐杆线虫和人类的精子激活(SA)这一导致雄性配子达到受精能力的过程描述为生物网络,即由边缘(相互作用)连接的节点(分子)网络。然后,我们将它们与代表相关生理病理重要性的10条通路的网络以及计算机生成的网络进行比较。我们发现,组成每个网络的节点和边的数量与每个特定主题发表的论文数量无关,并且在所有网络中检查的所有拓扑参数都是相似的,从而赋予它们无标度拓扑和小世界行为。综上所述,SA拓扑独立于被考虑生物的生殖生物学,与其他信号网络一样,具有抗随机故障的鲁棒性、可控性和信号传输效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Signal transduction in the activation of spermatozoa compared to other signalling pathways: a biological networks study.

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.

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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining. The objective of IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.
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