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Options available for profiling small samples: a review of sample amplification technology when combined with microarray profiling.

机译:可用于分析小样本的选项:结合微阵列分析对样本扩增技术的回顾。

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The possibility of performing microarray analysis on limited material has been demonstrated in a number of publications. In this review we approach the technical aspects of mRNA amplification and several important implicit consequences, for both linear and exponential procedures. Amplification efficiencies clearly allow profiling of extremely small samples. The conservation of transcript abundance is the most important issue regarding the use of sample amplification in combination with microarray analysis, and this aspect has generally been found to be acceptable, although demonstrated to decrease in highly diluted samples. The fact that variability and discrepancies in microarray profiles increase with minute sample sizes has been clearly documented, but for many studies this does appear to have affected the biological conclusions. We suggest that this is due to the data analysis approach applied, and the consequence is the chance of presenting misleading results. We discuss the issue of amplificationsensitivity limits in the light of reports on fidelity, published data from reviewed articles and data analysis approaches. These are important considerations to be reflected in the design of future studies and when evaluating biological conclusions from published microarray studies based on extremely low input RNA quantities.
机译:在许多出版物中已经证明了对有限材料进行微阵列分析的可能性。在这篇综述中,我们研究了线性和指数程序中mRNA扩增的技术方面以及一些重要的隐式后果。放大效率显然可以分析极小的样品。关于将样品扩增与微阵列分析结合使用,转录物丰度的保持是最重要的问题,尽管这在高度稀释的样品中表现出降低的趋势,但通常认为这一方面是可以接受的。已经清楚地证明了微阵列图谱的变异性和差异会随微小样本量的增加而增加,但对于许多研究而言,这似乎已影响了生物学结论。我们建议,这是由于所应用的数据分析方法所致,其结果是有可能出现误导性结果。我们将根据保真度报告,审阅文章中的公开数据以及数据分析方法来讨论扩增灵敏度极限的问题。这些都是重要的考虑因素,需要在以后的研究设计中以及基于极低输入RNA量评估已发表的微阵列研究的生物学结论时反映出来。

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