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采用人工标准探针策略的定量寡核苷酸微阵列数据分析

Quantitative oligonucleotide microarray data analysis with an artificial standard probe strategy.

作者信息

Hwang Byeong Hee, Cha Hyung Joon

机构信息

Department of Chemical Engineering, Pohang University of Science and Technology, Pohang 790-784, Republic of Korea.

出版信息

Biosens Bioelectron. 2008 Jun 15;23(11):1738-44. doi: 10.1016/j.bios.2008.01.024. Epub 2008 Feb 7.

DOI:10.1016/j.bios.2008.01.024
PMID:18337080
Abstract

Quantitative data analysis is an important element in several applications of DNA microarray, including mRNA expression profiling and estimation of infectious doses for pathogens. Here, we introduce an artificial standard probe strategy for quantitative pathogen detection using an oligonucleotide chip as a model system. The standard capture probe sequence was artificially designed to prevent non-specific hybridization with bacterial targets. Based on the fluorescence intensities of artificial standard spots, the raw fluorescence intensity data for specific spots could be corrected to generate linear correlations with target concentrations. Therefore, our novel artificial standard probe may be effectively applied for the correction of chip-to-chip variations and quantitative data analysis of a one-color labeled DNA microarray system.

摘要

定量数据分析是DNA微阵列多种应用中的一个重要元素,包括mRNA表达谱分析和病原体感染剂量的估计。在这里,我们以寡核苷酸芯片作为模型系统,介绍一种用于定量病原体检测的人工标准探针策略。标准捕获探针序列是人工设计的,以防止与细菌靶标发生非特异性杂交。基于人工标准斑点的荧光强度,可以校正特定斑点的原始荧光强度数据,以生成与靶标浓度的线性相关性。因此,我们新型的人工标准探针可有效应用于芯片间差异的校正以及单色标记DNA微阵列系统的定量数据分析。

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