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首页> 外文期刊>OMICS: A journal of integrative biology >Interlaboratory and Interplatform Comparison of Microarray Gene Expression Analysis of HepG2 Cells Exposed to Benzo(a)pyrene
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Interlaboratory and Interplatform Comparison of Microarray Gene Expression Analysis of HepG2 Cells Exposed to Benzo(a)pyrene

机译:多个实验室的和Interplatform比较HepG2的微阵列基因表达分析细胞暴露于苯并(a)芘

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Microarray technology is being used increasingly to study gene expression of biological systems on a large scale. Both interlaboratory and interplatform differences are known to contribute to variability in microarray data. In this study we have investigated data from different platforms and laboratories on the transcriptomic profile of HepG2 cells exposed to benzo(a)pyrene (BaP). RNA samples generated in two different laboratories were analyzed using both Agilent oligonucleotide microarrays and Cancer Research UK (CR-UK) cDNA microarrays. Comparability of the expression profiles was assessed at various levels including correlation and overlap between the data, clustering of the data and affected biological processes. Overlap and correlation occurred, but it was not possible to deduce whether choice of platform or interlaboratory differences contributed more to the data variation. Principal component analysis (PCA) and hierarchical clustering of the expression profiles indicated that the data were most clearly defined by duration of exposure to BaP, suggesting that laboratory and platform variability does not mask the biological effects. Real-time quantitative PCR was used to validate the two array platforms and indicated that false negatives, rather than false positives, are obtained with both systems. All together these results suggest that data from similar biological experiments analyzed on different microarray platforms can be combined to give a more complete transcriptomic profile. Each platform gives a slight variation in the BaP-gene expression response and, although it cannot be stated which is more correct, combining the two data sets is more informative than considering them individually.
机译:微阵列技术正在越来越多地使用研究基因表达的生物系统一个大规模的。interplatform差异做出贡献在微阵列数据可变性。我们从不同的调查数据在转录组平台和实验室概要HepG2细胞暴露于苯并(a)芘(BaP)。使用两个安捷伦实验室进行分析寡核苷酸微阵列和癌症的研究英国(CR-UK)互补脱氧核糖核酸微阵列。表达谱在不同的评估水平包括关联和重叠数据,聚类的数据和影响生物过程。发生的原因,但这是不可能的演绎是否选择平台或多个实验室的差异造成了更多的数据变异。层次聚类的表达式资料表明,数据最明确的时间接触软面包卷,建议实验室平台变化并不掩盖了生物效应。实时定量PCR用于验证两个数组的平台和显示错误否定,而不是假阳性,获得两个系统。结果表明,数据从类似的生物实验分析了在不同的微阵列平台可以给一个更完整的组合转录组概要文件。轻微的变化BaP-gene表达式反应,虽然不能说更正确,结合这两个数据集是什么信息多考虑他们单独。

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