Suppr超能文献

多中心研究中微阵列数据的质量评估

Quality assessment of microarray data in a multicenter study.

作者信息

Archer Kellie J, Mas Valeria R, O'Brien Thomas R, Pfeiffer Ruth, Lum Nicole L, Fisher Robert A

机构信息

Virginia Commonwealth University, 730 East Broad Street, Theater Row, Richmond, VA 23298-0032, USA.

出版信息

Diagn Mol Pathol. 2009 Mar;18(1):34-43. doi: 10.1097/PDM.0b013e3181731e14.

Abstract

Issues implicit in a multicenter microarray study are protocol standardization and monitoring center adherence to established protocols. This study explored the effects of submitting center and sample preservation method on the quality of isolated RNA. In addition, the effects of sample preservation method and laboratory on microarray quality were also examined. Herein we evaluated the contribution of specific technical factors [center, laboratory, and preservation method (frozen/RNAlater)] on quality of isolated RNA, cRNA synthesis products, and reproducibility of gene expression microarray data for independent biologic samples collected in a multicenter microarray study. The Kruskal-Wallis test was used to test for differences owing to submitting center on isolated RNA quality. Mixed effects analysis of variance was used in assessing the impact of laboratory and preservation method on gene expression values for the 12 samples hybridized at 2 independent laboratories (24 GeneChips). One center was found to be in violation of the tissue handling protocol. No significant effect was noted owing to preservation method, which ensured that our tissue handling protocols are working properly. There was a significant laboratory effect with respect to cRNA yield, though this effect did not impact sample quality. We conclude that use of consistent protocols for sample collection, RNA extraction, cDNA/cRNA synthesis, labeling, hybridization, platform, image acquisition, normalization, and expression summaries can yield consistent expression values. Moreover, evaluation of sample quality at various steps in the data acquisition process is an important component of a multicenter study to ensure all participating centers adhere to established protocols.

摘要

多中心微阵列研究中隐含的问题包括方案标准化以及监测各中心对既定方案的遵守情况。本研究探讨了送检中心和样本保存方法对分离RNA质量的影响。此外,还研究了样本保存方法和实验室对微阵列质量的影响。在此,我们评估了特定技术因素[中心、实验室和保存方法(冷冻/RNAlater)]对多中心微阵列研究中收集的独立生物样本的分离RNA质量、cRNA合成产物以及基因表达微阵列数据重现性的贡献。采用Kruskal-Wallis检验来检测因送检中心不同而导致的分离RNA质量差异。在评估实验室和保存方法对在2个独立实验室杂交的12个样本(24个基因芯片)的基因表达值的影响时,使用了混合效应方差分析。发现有一个中心违反了组织处理方案。未观察到保存方法产生显著影响,这确保了我们的组织处理方案运行正常。在cRNA产量方面存在显著的实验室效应,不过该效应并未影响样本质量。我们得出结论,对样本采集、RNA提取、cDNA/cRNA合成、标记、杂交、平台、图像采集、标准化和表达汇总采用一致的方案能够产生一致的表达值。此外,在数据采集过程的各个步骤对样本质量进行评估是多中心研究的一个重要组成部分,以确保所有参与中心遵守既定方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f909/3738008/8180fe8be231/nihms-486430-f0001.jpg

相似文献

1
Quality assessment of microarray data in a multicenter study.多中心研究中微阵列数据的质量评估
Diagn Mol Pathol. 2009 Mar;18(1):34-43. doi: 10.1097/PDM.0b013e3181731e14.
6
Recovery of microarray-quality RNA from frozen EDTA blood samples.从冷冻的乙二胺四乙酸(EDTA)血液样本中回收微阵列质量的RNA。
J Pharmacol Toxicol Methods. 2009 Jan-Feb;59(1):44-9. doi: 10.1016/j.vascn.2008.10.003. Epub 2008 Nov 5.

引用本文的文献

本文引用的文献

3
Molecular profiling techniques and bioinformatics in cancer research.癌症研究中的分子谱分析技术与生物信息学
Eur J Surg Oncol. 2007 Apr;33(3):255-65. doi: 10.1016/j.ejso.2006.09.002. Epub 2006 Oct 27.
7
arrayQCplot: software for checking the quality of microarray data.阵列质量控制图:用于检查微阵列数据质量的软件。
Bioinformatics. 2006 Sep 15;22(18):2305-7. doi: 10.1093/bioinformatics/btl367. Epub 2006 Jul 24.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验