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RNA amplification results in reproducible microarray data with slight ratio bias

机译:RNA扩增可产生可重现的微阵列数据,且比例偏差很小

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摘要

Microarray expression analysis demands large amounts of RNA that are often not available. RNA amplification techniques have been developed to overcome this problem, but limited data are available regarding the reproducibility and maintenance of original transcript ratios. We optimized and validated two amplification techniques: a modified in vitro transcription for the linear amplification of 3 mug total RNA and a SMART(TM) PCR-based technique for the exponential amplification of 50 ng total RNA. To determine bias between transcript ratios, we compared the expression profiles in mouse testis versus spleen between the two amplification methods and a standard labeling protocol, using microarrays containing 4596 cDNAs spotted in duplicate. With each method, replicate hybridizations were highly reproducible. However, when comparing the amplification methods to standard labeling, correlation coefficients were lower, Twelve genes that exhibited inconsistent or contradictory expression ratios among the three methods were verified by quantitative RTPCR. The amplification methods showed slightly more discrepancies in the expression ratios when compared to quantitative RT-PCR results but were more sensitive in terms of detecting expressed genes. In conclusion, although amplification methods introduce slight changes in the transcript ratios compared to standard labeling, they are highly reproducible, For small sample size, in vitro transcription is the preferred method, but one should never combine different labeling strategies within a single study.
机译:微阵列表达分析需要大量无法获得的RNA。已经开发出RNA扩增技术来克服该问题,但是关于原始转录物比率的可再现性和维持的有限数据可用。我们优化并验证了两种扩增技术:用于3杯总RNA线性扩增的改良体外转录技术和用于50 ng总RNA指数扩增的基于SMART™PCR的技术。为了确定转录物比率之间的偏差,我们使用包含一式两份的包含4596个cDNA的微阵列,比较了两种扩增方法和标准标记方案之间小鼠睾丸与脾脏中的表达谱。对于每种方法,重复杂交都是高度可重复的。然而,当将扩增方法与标准标记法进行比较时,相关系数较低,通过定量RTPCR验证了三种方法中表达率不一致或矛盾的十二个基因。与定量RT-PCR结果相比,扩增方法的表达率差异稍大,但在检测表达基因方面更为灵敏。总之,尽管扩增方法与标准标记方法相比,其转录比例略有变化,但它们具有很高的重现性。对于小样本量,体外转录是首选方法,但绝对不能在一项研究中结合不同的标记策略。

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