Standardized high-throughput evaluation of cell-based compound screens

被引：15

作者：

Frommolt, Peter ^{[1
,3
]}

Thomas, Roman K. ^{[2
,4
,5
,6
]}

机构：

[1] Univ Cologne, Inst Med Stat Informat & Epidemiol, Cologne, Germany

[2] Univ Cologne, Max Planck Inst Neurol Res, Klaus Joachim Zulch Labs, Max Planck Soc, Cologne, Germany

[3] Univ Cologne, Fac Med, Cologne, Germany

[4] Univ Cologne, Dept Internal Med 1, Cologne, Germany

[5] Univ Cologne, Ctr Integrated Oncol, Cologne, Germany

[6] Max Planck Gesell, Chem Genom Ctr, Dortmund, Germany

来源：

BMC BIOINFORMATICS | 2008年 / 9卷 / 1期

关键词：

Gefitinib; Erlotinib; SU11274; IC50 Concentration; EGFR Gene;

D O I：

10.1186/1471-2105-9-475

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Background: High-throughput screening of pharmaceutical compound activity in tissue culture experiments requires time-consuming repeated analysis of the large amounts of data generated. Automation of the evaluation procedure and assessment of measurement accuracy can save time and improve the comparability of results. Results: We present a tool for simultaneous evaluation of an arbitrary number of compound screens including a standardized statistical validation. It is provided as a novel R package with a Tcl/Tk-based GUI for convenient use in the lab and runs on usual platforms like Linux, Windows and Mac OS. In a compound screen of lung cancer cells, the tool was successfully and efficiently applied for data analysis. Conclusion: The package provides an efficient and intuitive platform for automatic evaluation of compound screens, improving the performance and standardization of data analysis.

引用

页数：4

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