Prediction and Comparison of Salmonella-Human and Salmonella-Arabidopsis Interactomes

Prediction and Comparison of Salmonella-Human and Salmonella-Arabidopsis Interactomes
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DOI:
10.1002/cbdv.201100392
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发表时间:
2012-05-01
影响因子:
2.9
通讯作者:
Oliva, Baldo
Oliva, Baldo
中科院分区:
化学3区
文献类型:
--
作者:
Schleker, Sylvia;Garcia-Garcia, Javier;Oliva, Baldo

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由沙门氏菌引起的沙门氏菌病是一种食源性疾病,也是一种全球性健康威胁,每年导致数百万人感染和数千人死亡。这种病原体感染范围异常广泛的宿主生物,包括人类和植物。为了更好地了解沙门氏菌与其宿主之间的通讯机制,需要确定沙门氏菌与宿主蛋白之间的相互作用。蛋白质?蛋白质相互作用(PPI)是沟通的基本组成部分。在这里,我们利用预测平台 BIANA 根据与已知 PPI 的序列和域相似性来获得假定的沙门氏菌?人类和沙门氏菌?拟南芥相互作用组。沙门氏菌宿主 PPI 的黄金标准清单可用于验证人体模型的质量。预测了 24,726 和 10,926 个 PPI,分别包含 38 和 33 个沙门氏菌效应子和毒力因子与 9,740 个人类和 4,676 个拟南芥蛋白之间的相互作用。可以鉴定假定的枢纽蛋白,并发现两个相互作用组之间的相似之处。这种方法可以深入了解迄今为止尚未表征的蛋白质的可能生物学功能。预测的交互可通过网络界面获得,该界面允许根据用户提供的参数过滤数据库,以缩小可疑交互的列表范围。可通过网页界面进行交互:http://sbi.imim.es/web/SHIPREC.php。
Salmonellosis caused by Salmonella bacteria is a food-borne disease and a worldwide health threat causing millions of infections and thousands of deaths every year. This pathogen infects an unusually broad range of host organisms including human and plants. A better understanding of the mechanisms of communication between Salmonella and its hosts requires identifying the interactions between Salmonella and host proteins. Protein?protein interactions (PPIs) are the fundamental building blocks of communication. Here, we utilize the prediction platform BIANA to obtain the putative Salmonella?human and Salmonella?Arabidopsis interactomes based on sequence and domain similarity to known PPIs. A gold standard list of Salmonella?host PPIs served to validate the quality of the human model. 24,726 and 10,926 PPIs comprising interactions between 38 and 33 Salmonella effectors and virulence factors with 9,740 human and 4,676 Arabidopsis proteins, respectively, were predicted. Putative hub proteins could be identified, and parallels between the two interactomes were discovered. This approach can provide insight into possible biological functions of so far uncharacterized proteins. The predicted interactions are available via a web interface which allows filtering of the database according to parameters provided by the user to narrow down the list of suspected interactions. The interactions are available via a web interface at http://sbi.imim.es/web/SHIPREC.php.