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Measuring absolute expression with microarrays with a calibrated reference sample and an extended signal intensity range

机译:使用带有校准参考样品和扩展信号强度范围的微阵列测量绝对表达

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摘要

Gene expression ratios derived from spotted-glass microarray experiments have become invaluable to researchers by providing sensitive and comprehensive indicators of the molecular underpinnings of cell behaviors and states. However, several drawbacks to this form of data have been noted, including the inability to relate ratios to absolute expression levels or to compare experimental conditions not measured with the same control. In this study we demonstrate a method for overcoming these obstacles. First, instead of cohybridizing labeled experimental and control samples, we hybridize each sample against labeled oligos complementary to every microarray feature. Ratios between sample intensities and intensities of the oligo reference measure sample RNA levels on a scale that relates to their absolute abundance, instead of to the variable and unknown abundances of a cDNA reference. We demonstrate that results from this type of hybridization are accurate and retain absolute abundance information far better than conventional microarray ratios. Next, to ensure the accurate measurement of sample and oligo reference intensities, which may differ by several orders of magnitude, we use a linear regression algorithm, implemented in a freely available perl script, to combine the linear ranges of multiple scans taken at different scanner sensitivity settings onto an extended linear scale. We discuss future applications of our method to measure RNA expression on the absolute scale of number of transcripts per cell from any organism for which oligo-based spotted-glass microarrays are available.
机译:通过提供玻璃行为和状态的分子基础的灵敏而全面的指标,从斑点玻璃微阵列实验中获得的基因表达率已成为研究人员无法估量的。但是,已经注意到这种数据形式的一些缺点,包括无法将比率与绝对表达水平相关或无法比较未使用同一对照测量的实验条件。在这项研究中,我们展示了一种克服这些障碍的方法。首先,不是将标签化的实验和对照样品共杂交,而是将每个样品与与每个微阵列特征互补的标签化的寡核苷酸杂交。样品强度和寡核苷酸参照强度之间的比率以与其绝对丰度相关的尺度来测量样品RNA水平,而不是与cDNA参照的可变和未知丰度相关。我们证明这种类型的杂交的结果是准确的,并且保留绝对丰度信息远优于常规微阵列比率。接下来,为确保准确测量样品和寡核苷酸的参考强度(可能相差几个数量级),我们使用在免费的perl脚本中实现的线性回归算法,以结合在不同扫描仪上进行的多次扫描的线性范围灵敏度设置扩展到线性刻度上。我们讨论了我们的方法的未来应用,该方法可用于测量任何细胞中基于寡核苷酸的斑点玻璃微阵列的每个细胞的转录本绝对数量的绝对值。

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