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首页> 美国卫生研究院文献>Journal of Extracellular Vesicles >Informatic system for a global tissue–fluid biorepository with a graph theory–oriented graphical user interface
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Informatic system for a global tissue–fluid biorepository with a graph theory–oriented graphical user interface

机译：面向全球组织流体生物储存库的信息系统具有面向图论的图形用户界面

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The Richard Floor Biorepository supports collaborative studies of extracellular vesicles (EVs) found in human fluids and tissue specimens. The current emphasis is on biomarkers for central nervous system neoplasms but its structure may serve as a template for collaborative EV translational studies in other fields. The informatic system provides specimen inventory tracking with bar codes assigned to specimens and containers and projects, is hosted on globalized cloud computing resources, and embeds a suite of shared documents, calendars, and video-conferencing features. Clinical data are recorded in relation to molecular EV attributes and may be tagged with terms drawn from a network of externally maintained ontologies thus offering expansion of the system as the field matures. We fashioned the graphical user interface (GUI) around a web-based data visualization package. This system is now in an early stage of deployment, mainly focused on specimen tracking and clinical, laboratory, and imaging data capture in support of studies to optimize detection and analysis of brain tumour–specific mutations. It currently includes 4,392 specimens drawn from 611 subjects, the majority with brain tumours. As EV science evolves, we plan biorepository changes which may reflect multi-institutional collaborations, proteomic interfaces, additional biofluids, changes in operating procedures and kits for specimen handling, novel procedures for detection of tumour-specific EVs, and for RNA extraction and changes in the taxonomy of EVs. We have used an ontology-driven data model and web-based architecture with a graph theory–driven GUI to accommodate and stimulate the semantic web of EV science.
机译：Richard Floor Biorepository支持在人体液体和组织标本中发现的细胞外囊泡（EV）的协作研究。目前的重点是中枢神经系统肿瘤的生物标志物，但其结构可作为其他领域电动EV翻译研究的模板。该信息系统通过分配给标本，容器和项目的条形码提供标本库存跟踪，托管在全球化的云计算资源上，并嵌入了一组共享文档，日历和视频会议功能。记录与分子EV属性相关的临床数据，并可以使用从外部维护的本体网络中提取的术语进行标记，从而随着该领域的成熟而扩展系统。我们围绕基于Web的数据可视化程序包构建了图形用户界面（GUI）。该系统目前处于部署的早期阶段，主要集中于标本跟踪以及临床，实验室和成像数据捕获，以支持研究以优化对脑肿瘤特异性突变的检测和分析。目前，它包括从611名受试者中提取的4,392份标本，其中大部分是脑肿瘤。随着电动汽车科学的发展，我们计划制定生物储存库变化，以反映多机构合作，蛋白质组学界面，其他生物流体，标本处理操作程序和试剂盒的变化，用于检测肿瘤特异性电动汽车的新程序以及RNA提取和变化的方法。电动汽车的分类。我们使用了本体驱动的数据模型和基于Web的体系结构，并结合了图论驱动的GUI来适应和激发EV科学的语义网。

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