A relational database for management of flow cytometry and ELISpot clinical trial data
A relational database for management of flow cytometry and ELISpot clinical trial data
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DOI：
10.1002/cyto.b.20146
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发表时间：
2007-01-15
影响因子：
3.4
通讯作者：
McConkey, Samuel J.
中科院分区：
文献类型：
--
作者：
Cavenaugh, James S.;Snell, Paul;McConkey, Samuel J.
背景资料：尽管关系数据库在生物信息学中广泛使用已保存和最终确定的数据，但它们尚未在免疫学家中广泛用于管理原始实验室数据，例如由ELISpot或流式细胞术测定产生的数据。几乎没有出版的指南存在免疫学家设计适当的和有用的data management systems.Methods：我们描述了一个Microsoft Access关系数据库的设计和实施中使用的临床试验，其中主要的免疫原性措施是ELISpot和细胞内细胞因子staining.Results：我们的数据管理系统使我们能够执行复杂的查询，并解释我们的数据尽可能定量。它可以很容易地使用，而无需修改由其他研究人员使用自动板阅读ELISpot板或四色流式cytometer.Conclusions：我们详细说明了使用灵活的数据管理系统，两个最广泛使用的免疫技术。可以很容易地实现更多颜色或其他输出的微小修改。根据这个例子，可以很容易地设想对任何其他定量输出进行其他修改。(c)2006年临床细胞计数学会。
Background: Although relational databases are widely used in bioinformatics with deposited and finalized data, they have not received widespread usage among immunologists for managing raw laboratory data such as that generated by ELISpot or flow cytometry assays. Almost no published guidance exists for immunologists to design appropriate and useful data management systems.Methods: We describe the design and implementation of a Microsoft Access relational database used in a clinical trial in which the primary immunogenicity measures were ELISpot and intracellular cytokine staining.Results: Our data management system enabled us to perform sophisticated queries and to interpret our data as quantitatively as possible. It could easily be used without modification by other researchers using automated plate reading of ELISpot plates or four color flow cytometry.Conclusions: We illustrate in detail the use of a flexible data management system for two of the most widely used immunological techniques. Minor modifications for more colors or other outputs can easily be implemented. Based on this example, other modifications could be easily envisaged for any other quantitative output. (c) 2006 Clinical Cytometry Society.