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使用plateCore分析高通量流式细胞术数据。

Analysis of High-Throughput Flow Cytometry Data Using plateCore.

作者信息

Strain Errol, Hahne Florian, Brinkman Ryan R, Haaland Perry

机构信息

FDA-Center for Food Safety and Nutrition, HFS-013 5100 Paint Branch Parkway, College Park, MD 20740, USA.

出版信息

Adv Bioinformatics. 2009;2009:356141. doi: 10.1155/2009/356141. Epub 2009 Oct 11.

Abstract

Flow cytometry (FCM) software packages from R/Bioconductor, such as flowCore and flowViz, serve as an open platform for development of new analysis tools and methods. We created plateCore, a new package that extends the functionality in these core packages to enable automated negative control-based gating and make the processing and analysis of plate-based data sets from high-throughput FCM screening experiments easier. plateCore was used to analyze data from a BD FACS CAP screening experiment where five Peripheral Blood Mononucleocyte Cell (PBMC) samples were assayed for 189 different human cell surface markers. This same data set was also manually analyzed by a cytometry expert using the FlowJo data analysis software package (TreeStar, USA). We show that the expression values for markers characterized using the automated approach in plateCore are in good agreement with those from FlowJo, and that using plateCore allows for more reproducible analyses of FCM screening data.

摘要

来自R/Bioconductor的流式细胞术(FCM)软件包,如flowCore和flowViz,是开发新分析工具和方法的开放平台。我们创建了plateCore,这是一个新的软件包,扩展了这些核心软件包的功能,以实现基于阴性对照的自动设门,并使高通量FCM筛选实验中基于平板的数据集的处理和分析更加容易。plateCore用于分析来自BD FACS CAP筛选实验的数据,其中对五个外周血单核细胞(PBMC)样本检测了189种不同的人类细胞表面标志物。一位细胞计数专家还使用FlowJo数据分析软件包(美国TreeStar公司)对同一数据集进行了手动分析。我们表明,使用plateCore中的自动方法表征的标志物的表达值与来自FlowJo的表达值高度一致,并且使用plateCore可以对FCM筛选数据进行更可重复的分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c56/2777006/af08fb7f004d/ABI2009-356141.001.jpg

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