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Reproducibility bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome

机译:重现性生物信息学分析和SAGE方法评估转录组变化的能力

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摘要

The serial analysis of gene expression (SAGE) method is used to study global gene expression in cells or tissues in various experimental conditions. However, its reproducibility has not yet been definitively assessed. In this study, we have evaluated the reproducibility of the SAGE method and identified the factors that affect it. The determination coefficient (R2) for the reproducibility of SAGE is 0.96. However, there are some factors that can affect the reproducibility of SAGE, such as the replication of concatemers and ditags, the number of sequenced tags and double PCR amplification of ditags. Thus, corrections for these factors must be made to ensure the reproducibility and accuracy of SAGE results. A bioinformatic analysis of SAGE data is also presented in order to eliminate these artifacts. Finally, the current study shows that increasing the number of sequenced tags improves the power of the method to detect transcripts and their regulation by experimental conditions.
机译:基因表达的序列分析(SAGE)方法用于研究各种实验条件下细胞或组织中的整体基因表达。但是,其可重复性尚未得到明确评估。在这项研究中,我们评估了SAGE方法的可重复性,并确定了影响其的因素。 SAGE重现性的测定系数(R 2 )为0.96。但是,有一些因素可能会影响SAGE的可重复性,例如串联体和双标签的复制,测序标签的数量以及双标签的双PCR扩增。因此,必须对这些因素进行校正以确保SAGE结果的可重复性和准确性。还提出了SAGE数据的生物信息学分析,以消除这些假象。最后,当前的研究表明,增加测序标签的数量可以提高检测转录本的方法的能力,并通过实验条件对其进行调控。

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