Informatics LLC , Silver Spring, MD , USA.
Bioinformatics and Computational Biosciences Branch (BCBB), Office of Cyber Infrastructure and Computational Biology (OCICB), National Institute of Allergy and Infectious Disease (NIAID), National Institutes of Health (NIH) , Bethesda, MD , USA.
PeerJ. 2015 Jan 6;3:e717. doi: 10.7717/peerj.717. eCollection 2015.
Staphylococcus aureus is a commensal organism that primarily colonizes the nose of healthy individuals. S. aureus causes a spectrum of infections that range from skin and soft-tissue infections to fatal invasive diseases. S. aureus uses a large number of virulence factors that are regulated in a coordinated fashion. The complex regulatory mechanisms have been investigated in numerous high-throughput experiments. Access to this data is critical to studying this pathogen. Previously, we developed a compilation of microarray experimental data to enable researchers to search, browse, compare, and contrast transcript profiles. We have substantially updated this database and have built a novel exploratory tool-SATRAT-the S. aureus transcript regulatory network analysis tool, based on the updated database. This tool is capable of performing deep searches using a query and generating an interactive regulatory network based on associations among the regulators of any query gene. We believe this integrated regulatory network analysis tool would help researchers explore the missing links and identify novel pathways that regulate virulence in S. aureus. Also, the data model and the network generation code used to build this resource is open sourced, enabling researchers to build similar resources for other bacterial systems.
金黄色葡萄球菌是一种定植于健康个体鼻腔的共生菌。它可引起一系列感染,从皮肤和软组织感染到致命的侵袭性疾病。金黄色葡萄球菌利用大量的毒力因子进行协调调控。复杂的调控机制已经在许多高通量实验中得到了研究。访问这些数据对于研究这种病原体至关重要。之前,我们开发了一个微阵列实验数据的汇编,使研究人员能够搜索、浏览、比较和对比转录谱。我们已经对这个数据库进行了大量更新,并基于更新后的数据库构建了一个新的探索工具——SATRAT,即金黄色葡萄球菌转录调控网络分析工具。该工具能够使用查询进行深度搜索,并根据任何查询基因的调控因子之间的关联生成一个交互式调控网络。我们相信,这个集成的调控网络分析工具将有助于研究人员探索缺失的环节,并确定调控金黄色葡萄球菌毒力的新途径。此外,用于构建此资源的数据模型和网络生成代码是开源的,使研究人员能够为其他细菌系统构建类似的资源。