Anupama Rani, Sajitha Lulu S, Mukherjee Amitava, Babu Subramanian
School of Bio Sciences and Technology, VIT University, Vellore 632014, Tamil Nadu, India.
Centre for Nanobiotechnology, VIT University, Vellore 632014, Tamil Nadu, India.
Gene. 2018 Mar 20;647:289-296. doi: 10.1016/j.gene.2018.01.042. Epub 2018 Jan 12.
A systems biology approach was used to study all the biofilm related genes of P. aeruginosa PAO1, and the interaction of titanium dioxide (TiO) anatase with biofilm related proteins. Among the 71 genes, the interactions of all the nodal pairs were extracted by STRING 10.5 database. The inter-relationship among these genes was predicted by constructing complete PPI network and visualized in Cytoscape v 3.4.0. Total number of nodes of the network was found to be 335 and edges were 795. The network was further investigated for its clusters and the best cluster was further analyzed for the hub proteins which significantly contribute in cross-regulation of the biofilm related process. The hub proteins were identified based on four topological parameters of degree, closeness, betweeness and radiality. Four major hub proteins of P. aeruginosa PAO1 were identified to be algD, gacS, rpoS and rpoN which were common in all the hubs. Further, we have also elucidated the probable mechanism of TiO interaction with P. aeruginosa PAO1 at molecular level. Using STITCH server, the major target gene of TiO was identified as katA which also appeared commonly in our main dataset and this gene has been focused for the further study because of its unique common appearance in gene-gene network as well as gene-anatase network. The direct interacting partners of katA were found to be dnaK, hfq, rpoS and rpoA. Based on these findings and available gene regulatory information, probable TiO interacting cascade has been represented. This in silico study of P. aeruginosa PAO1 biofilm genes and the interaction of protein products with TiO might be significant to understand the perspective pathogenic resistance as well as the toxicity research pertaining to nanoparticles.
采用系统生物学方法研究铜绿假单胞菌PAO1的所有生物膜相关基因,以及二氧化钛(TiO)锐钛矿与生物膜相关蛋白的相互作用。在这71个基因中,所有节点对的相互作用通过STRING 10.5数据库提取。通过构建完整的蛋白质-蛋白质相互作用(PPI)网络预测这些基因之间的相互关系,并在Cytoscape v 3.4.0中进行可视化。发现该网络的节点总数为335个,边为795条。进一步研究该网络的聚类情况,并对最佳聚类中的枢纽蛋白进行深入分析,这些枢纽蛋白对生物膜相关过程的交叉调节有显著贡献。基于度、接近度、介数和辐射度这四个拓扑参数鉴定枢纽蛋白。确定铜绿假单胞菌PAO1的四个主要枢纽蛋白为algD、gacS、rpoS和rpoN,它们在所有枢纽中都很常见。此外,我们还阐明了TiO与铜绿假单胞菌PAO1在分子水平上相互作用的可能机制。使用STITCH服务器,确定TiO的主要靶基因是katA,它也经常出现在我们的主要数据集中,由于其在基因-基因网络以及基因-锐钛矿网络中独特的共同出现,该基因已成为进一步研究的重点。发现katA的直接相互作用伙伴是dnaK、hfq、rpoS和rpoA。基于这些发现和现有的基因调控信息,呈现了可能的TiO相互作用级联。这项关于铜绿假单胞菌PAO1生物膜基因以及蛋白质产物与TiO相互作用的计算机模拟研究,对于理解潜在的致病抗性以及与纳米颗粒相关的毒性研究可能具有重要意义。