首页> 外文期刊>BMC Bioinformatics >SpirPro: A Spirulina proteome database and web-based tools for the analysis of protein-protein interactions at the metabolic level in Spirulina (Arthrospira) platensis C1
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SpirPro: A Spirulina proteome database and web-based tools for the analysis of protein-protein interactions at the metabolic level in Spirulina (Arthrospira) platensis C1

机译:SpirPro:一种螺旋藻蛋白质组数据库和基于Web的工具,用于在平台螺旋藻(Arthrospira)C1的代谢水平上分析蛋白质相互作用

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Background Spirulina (Arthrospira) platensis is the only cyanobacterium that in addition to being studied at the molecular level and subjected to gene manipulation, can also be mass cultivated in outdoor ponds for commercial use as a food supplement. Thus, encountering environmental changes, including temperature stresses, is common during the mass production of Spirulina. The use of cyanobacteria as an experimental platform, especially for photosynthetic gene manipulation in plants and bacteria, is becoming increasingly important. Understanding the mechanisms and protein-protein interaction networks that underlie low- and high-temperature responses is relevant to Spirulina mass production. To accomplish this goal, high-throughput techniques such as OMICs analyses are used. Thus, large datasets must be collected, managed and subjected to information extraction. Therefore, databases including (i) proteomic analysis and protein-protein interaction (PPI) data and (ii) domain/motif visualization tools are required for potential use in temperature response models for plant chloroplasts and photosynthetic bacteria. Descriptions A web-based repository was developed including an embedded database, SpirPro, and tools for network visualization. Proteome data were analyzed integrated with protein-protein interactions and/or metabolic pathways from KEGG. The repository provides various information, ranging from raw data (2D-gel images) to associated results, such as data from interaction and/or pathway analyses. This integration allows in silico analyses of protein-protein interactions affected at the metabolic level and, particularly, analyses of interactions between and within the affected metabolic pathways under temperature stresses for comparative proteomic analysis. The developed tool, which is coded in HTML with CSS/JavaScript and depicted in Scalable Vector Graphics (SVG), is designed for interactive analysis and exploration of the constructed network. SpirPro is publicly available on the web at http://spirpro.sbi.kmutt.ac.th . Conclusions SpirPro is an analysis platform containing an integrated proteome and PPI database that provides the most comprehensive data on this cyanobacterium at the systematic level. As an integrated database, SpirPro can be applied in various analyses, such as temperature stress response networking analysis in cyanobacterial models and interacting domain-domain analysis between proteins of interest.
机译:背景技术螺旋藻(Arthrospira)platensis是唯一的蓝细菌,除了在分子水平上进行研究并进行基因操作外,还可以在室外池塘中大量种植以用作食品补充剂。因此,在螺旋藻的批量生产期间,经常遇到包括温度应力在内的环境变化。使用蓝细菌作为实验平台,尤其是用于植物和细菌中光合基因操纵的实验平台,变得越来越重要。了解作为低温和高温反应基础的机理和蛋白质-蛋白质相互作用网络与螺旋藻的大量生产有关。为了实现此目标,使用了高通量技术,例如OMIC分析。因此,必须收集,管理大型数据集并进行信息提取。因此,数据库(i)蛋白质组学分析和蛋白质-蛋白质相互作用(PPI)数据,以及(ii)域/基元可视化工具对于在植物叶绿体和光合细菌的温度响应模型中的潜在用途是必需的。描述开发了基于Web的存储库,包括嵌入式数据库,SpirPro和用于网络可视化的工具。蛋白质组数据与KEGG的蛋白质-蛋白质相互作用和/或代谢途径整合在一起进行了分析。存储库提供各种信息,范围从原始数据(2D凝胶图像)到相关结果,例如来自交互作用和/或路径分析的数据。这种整合可以对在代谢水平上受影响的蛋白质-蛋白质相互作用进行计算机分析,特别是在温度胁迫下分析受影响的代谢途径之间和之内的相互作用,以进行比较蛋白质组学分析。开发的工具以CSS / JavaScript用HTML编码,并在可伸缩矢量图形(SVG)中进行了描述,旨在用于交互式分析和探索所构建的网络。 SpirPro可从http://spirpro.sbi.kmutt.ac.th上的Web上公开获得。结论SpirPro是一个包含集成蛋白质组和PPI数据库的分析平台,可在系统水平上提供有关该蓝细菌的最全面数据。作为一个集成的数据库,SpirPro可以应用于各种分析中,例如蓝细菌模型中的温度应力响应网络分析以及目标蛋白之间的相互作用域结构域分析。

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