Petersen David, Chandramouli G V R, Geoghegan Joel, Hilburn Joanne, Paarlberg Jonathon, Kim Chang Hee, Munroe David, Gangi Lisa, Han Jing, Puri Raj, Staudt Lou, Weinstein John, Barrett J Carl, Green Jeffrey, Kawasaki Ernest S
Advanced Technology Center, Center for Cancer Research, National Cancer Institute, Gaithersburg, MD 20877, USA.
BMC Genomics. 2005 May 5;6:63. doi: 10.1186/1471-2164-6-63.
Microarrays for the analysis of gene expression are of three different types: short oligonucleotide (25-30 base), long oligonucleotide (50-80 base), and cDNA (highly variable in length). The short oligonucleotide and cDNA arrays have been the mainstay of expression analysis to date, but long oligonucleotide platforms are gaining in popularity and will probably replace cDNA arrays. As part of a validation study for the long oligonucleotide arrays, we compared and contrasted expression profiles from the three formats, testing RNA from six different cell lines against a universal reference standard.
The three platforms had 6430 genes in common. In general, correlation of gene expression levels across the platforms was good when defined by concordance in the direction of expression difference (upregulation or downregulation), scatter plot analysis, principal component analysis, cell line correlation or quantitative RT-PCR. The overall correlations (r values) between platforms were in the range 0.7 to 0.8, as determined by analysis of scatter plots. When concordance was measured for expression ratios significant at p-values of <0.05 and at expression threshold levels of 1.5 and 2-fold, the agreement among the platforms was very high, ranging from 93% to 100%.
Our results indicate that the long oligonucleotide platform is highly suitable for expression analysis and compares favorably with the cDNA and short oligonucleotide varieties. All three platforms can give similar and reproducible results if the criterion is the direction of change in gene expression and minimal emphasis is placed on the magnitude of change.
用于基因表达分析的微阵列有三种不同类型:短寡核苷酸(25 - 30个碱基)、长寡核苷酸(50 - 80个碱基)和cDNA(长度高度可变)。迄今为止,短寡核苷酸阵列和cDNA阵列一直是表达分析的主要手段,但长寡核苷酸平台正越来越受欢迎,可能会取代cDNA阵列。作为长寡核苷酸阵列验证研究的一部分,我们比较并对比了这三种形式的表达谱,以通用参考标准检测来自六种不同细胞系的RNA。
这三种平台共有6430个基因。总体而言,当根据表达差异方向(上调或下调)的一致性、散点图分析、主成分分析、细胞系相关性或定量逆转录聚合酶链反应来定义时,各平台间基因表达水平的相关性良好。通过散点图分析确定,各平台间的总体相关性(r值)在0.7至0.8范围内。当对p值<0.05且表达阈值水平为1.5倍和2倍时显著的表达比值进行一致性测量时,各平台间的一致性非常高,范围从93%至100%。
我们的结果表明,长寡核苷酸平台非常适合表达分析,与cDNA和短寡核苷酸类型相比具有优势。如果标准是基因表达变化的方向,且对变化幅度的强调最小,那么这三种平台都能给出相似且可重复的结果。