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首页> 外文期刊>BMC Bioinformatics >Comprehensive quality control utilizing the prehybridization third-dye image leads to accurate gene expression measurements by cDNA microarrays
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Comprehensive quality control utilizing the prehybridization third-dye image leads to accurate gene expression measurements by cDNA microarrays

机译:利用预杂交的第三染料图像进行全面的质量控制,可通过cDNA微阵列进行准确的基因表达测量

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Background Gene expression profiling using microarrays has become an important genetic tool. Spotted arrays prepared in academic labs have the advantage of low cost and high design and content flexibility, but are often limited by their susceptibility to quality control (QC) issues. Previously, we have reported a novel 3-color microarray technology that enabled array fabrication QC. In this report we further investigated its advantage in spot-level data QC. Results We found that inadequate amount of bound probes available for hybridization led to significant, gene-specific compression in ratio measurements, increased data variability, and printing pin dependent heterogeneities. The impact of such problems can be captured through the definition of quality scores, and efficiently controlled through quality-dependent filtering and normalization. We compared gene expression measurements derived using our data processing pipeline with the known input ratios of spiked in control clones, and with the measurements by quantitative real time RT-PCR. In each case, highly linear relationships (R2
机译:背景技术使用微阵列的基因表达谱分析已成为重要的遗传工具。在学术实验室中准备的点样阵列具有成本低,设计和内容灵活性高的优势,但通常受其对质量控制(QC)问题的敏感性的限制。以前,我们已经报道了一种新颖的3色微阵列技术,该技术可实现阵列制造QC。在本报告中,我们进一步研究了其在现场数据质量控制中的优势。结果我们发现,可用于杂交的结合探针数量不足,导致比率测量中基因特异性的显着压缩,数据变异性增加以及印刷销依赖的异质性。可以通过定义质量得分来捕获此类问题的影响,并通过基于质量的过滤和归一化来有效地控制这些问题。我们将使用我们的数据处理流水线获得的基因表达测量值与对照克隆中已知的加标输入比率以及通过定量实时RT-PCR进行的测量值进行了比较。在每种情况下,均观察到高度线性关系(R 2

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