Automation of cDNA microarray hybridization and washing yields improved data quality

作     者：Yauk, C Berndt, L Williams, A Douglas, GR 

作者机构：Hlth Canada Environm & Occupat Toxicol Div Ottawa ON K1A 0L2 Canada Hlth Canada Biostat & Epidemiol Div Ottawa ON K1A 0L2 Canada 

出 版 物：《JOURNAL OF BIOCHEMICAL AND BIOPHYSICAL METHODS》 (生化和生物物理方法杂志)

年 卷 期：2005年第64卷第1期

页      面：69-75页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 07[理学] 

基　　金：Canadian Regulatory System for Biotechnology Health Canada Genomics R and D fund 

主　　题：cDNA microarrays automated hybridization signal intensities microarray technology 

摘      要：Microarray technology allows the analysis of whole-genome transcription within a single hybridization, and has become a standard research tool. It is extremely important to minimize variation in order to obtain high quality microarray data that can be compared among experiments and laboratories. The majority of facilities implement manual hybridization approaches for microarray studies. We developed an automated method for cDNA microarray hybridization that uses equivalent pre-hybridization, hybridization and washing conditions to the suggested manual protocol. The automated method significantly decreased variability across microarray slides compared to manual hybridization. Although normalized signal intensities for buffer-only spots across the chips were identical, significantly reduced variation and inter-quartile ranges were obtained using the automated workstation. This decreased variation led to improved correlation among technical replicates across slides in both the Cy3 and Cy5 channels. Crown Copyright (c) 2005 Published by Elsevier B.V. All rights reserved.