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首页> 外文期刊>Nucleic acids research >Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation
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Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation

机译:在T7扩增过程中实时监测aRNA产生,以防止在微阵列杂交样品制备过程中丢失样品表示

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摘要

Gene expression analysis performed through comparative abundance of transcripts is facing a new challenge with the increasing need to compare samples of known cell number, such as early embryos or laser microbiopsies, where the RNA contents of identical cellular inputs can by nature be variable. When working with scarce tissues, the success of microarray profiling largely depends on the efficiency of the amplification step as determined by its ability to preserve the relative abundance of transcripts in the resulting amplified sample. Maintaining this initial relative abundance across samples is paramount to the generation of physiologically relevant data when comparing samples of different RNA content. The T7 RNA polymerase (T7-IVT) amplification is widely used for microarray sample preparation. Characterization of the reaction's kinetics has clearly indicated that its true linear phase is of short duration and is followed by a nonlinear phase. This second phase leads to modifications in transcript abundance that biases comparison between samples of different types. The impact assessment performed in this study has shown that the standard amplification protocol significantly lowers the quality of microarray data, rendering more than half of differentially expressed candidates undetected and distorting the true proportional differences of all candidates analyzed.
机译:通过比较大量的转录本进行基因表达分析面临着新的挑战,因为越来越需要比较已知细胞数量的样品,例如早期胚胎或激光显微活检,其中相同细胞输入的RNA含量自然可以变化。当处理稀少的组织时,微阵列分析的成功很大程度上取决于扩增步骤的效率,该效率取决于其在所得扩增样品中保留转录物的相对丰度的能力。当比较不同RNA含量的样品时,在样品之间保持此初始相对丰度对于生成生理相关数据至关重要。 T7 RNA聚合酶(T7-IVT)扩增被广泛用于微阵列样品制备。反应动力学的表征清楚地表明,其真正的线性相持续时间短,随后是非线性相。第二阶段导致转录本丰度的改变,从而使不同类型样品之间的比较产生偏差。在这项研究中进行的影响评估表明,标准扩增方案显着降低了微阵列数据的质量,使超过一半的差异表达候选物未被检测到,并且扭曲了所有分析候选物的真实比例差异。

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