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基于网络的骨、牙本质、神经和血管组织中共再生基因识别方法。

Network-Based Method for Identifying Co- Regeneration Genes in Bone, Dentin, Nerve and Vessel Tissues.

作者信息

Chen Lei, Pan Hongying, Zhang Yu-Hang, Feng Kaiyan, Kong XiangYin, Huang Tao, Cai Yu-Dong

机构信息

School of Life Sciences, Shanghai University, Shanghai 200444, China.

College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China.

出版信息

Genes (Basel). 2017 Oct 2;8(10):252. doi: 10.3390/genes8100252.

Abstract

Bone and dental diseases are serious public health problems. Most current clinical treatments for these diseases can produce side effects. Regeneration is a promising therapy for bone and dental diseases, yielding natural tissue recovery with few side effects. Because soft tissues inside the bone and dentin are densely populated with nerves and vessels, the study of bone and dentin regeneration should also consider the co-regeneration of nerves and vessels. In this study, a network-based method to identify co-regeneration genes for bone, dentin, nerve and vessel was constructed based on an extensive network of protein-protein interactions. Three procedures were applied in the network-based method. The first procedure, searching, sought the shortest paths connecting regeneration genes of one tissue type with regeneration genes of other tissues, thereby extracting possible co-regeneration genes. The second procedure, testing, employed a permutation test to evaluate whether possible genes were false discoveries; these genes were excluded by the testing procedure. The last procedure, screening, employed two rules, the betweenness ratio rule and interaction score rule, to select the most essential genes. A total of seventeen genes were inferred by the method, which were deemed to contribute to co-regeneration of at least two tissues. All these seventeen genes were extensively discussed to validate the utility of the method.

摘要

骨骼和牙齿疾病是严重的公共卫生问题。目前针对这些疾病的大多数临床治疗都会产生副作用。再生是一种治疗骨骼和牙齿疾病的有前景的疗法,能实现天然组织的恢复且副作用很少。由于骨骼和牙本质内部的软组织密集分布着神经和血管,骨骼和牙本质再生的研究也应考虑神经和血管的共同再生。在本研究中,基于广泛的蛋白质 - 蛋白质相互作用网络构建了一种基于网络的方法来识别骨骼、牙本质、神经和血管的共同再生基因。该基于网络的方法应用了三个步骤。第一步,搜索,寻找连接一种组织类型的再生基因与其他组织的再生基因的最短路径,从而提取可能的共同再生基因。第二步,测试,采用置换检验来评估可能的基因是否为错误发现;这些基因会被测试步骤排除。最后一步,筛选,采用两个规则,即介数比规则和相互作用得分规则,来选择最重要的基因。该方法总共推断出17个基因,这些基因被认为对至少两种组织的共同再生有贡献。对所有这17个基因进行了广泛讨论以验证该方法的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a129/5664102/0fc321f8094c/genes-08-00252-g001.jpg

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