Kurtenbach Stefan, Kurtenbach Sarah, Zoidl Georg
Faculty of Health, Department of Psychology, Molecular and Cellular Neuroscience, York University, LSB 323A, 4700 Keele Street, Toronto, ON M3J 1P3, Canada.
BMC Res Notes. 2013 Dec 1;6:496. doi: 10.1186/1756-0500-6-496.
Large data sets from gene expression array studies are publicly available offering information highly valuable for research across many disciplines ranging from fundamental to clinical research. Highly advanced bioinformatics tools have been made available to researchers, but a demand for user-friendly software allowing researchers to quickly extract expression information for multiple genes from multiple studies persists.
Here, we present a user-friendly LabVIEW program to automatically extract gene expression data for a list of genes from multiple normalized microarray datasets. Functionality was tested for 288 class A G protein-coupled receptors (GPCRs) and expression data from 12 studies comparing normal and diseased human hearts. Results confirmed known regulation of a beta 1 adrenergic receptor and further indicate novel research targets.
Although existing software allows for complex data analyses, the LabVIEW based program presented here, "Array Data Extractor (ADE)", provides users with a tool to retrieve meaningful information from multiple normalized gene expression datasets in a fast and easy way. Further, the graphical programming language used in LabVIEW allows applying changes to the program without the need of advanced programming knowledge.
基因表达阵列研究的大型数据集已公开,为从基础研究到临床研究等众多学科的研究提供了极具价值的信息。研究人员已可使用高度先进的生物信息学工具,但仍存在对用户友好型软件的需求,这种软件能让研究人员快速从多项研究中提取多个基因的表达信息。
在此,我们展示了一个用户友好型的LabVIEW程序,用于从多个标准化微阵列数据集中自动提取一系列基因的表达数据。针对288种A类G蛋白偶联受体(GPCR)以及来自12项比较正常和患病人类心脏的研究的表达数据对该功能进行了测试。结果证实了β1肾上腺素能受体的已知调控情况,并进一步指出了新的研究靶点。
尽管现有软件可进行复杂的数据分析,但此处展示的基于LabVIEW的程序“阵列数据提取器(ADE)”为用户提供了一种快速简便地从多个标准化基因表达数据集中检索有意义信息的工具。此外,LabVIEW中使用的图形化编程语言使程序无需高级编程知识就能进行修改。