揭示:逆转录效率标准在数据解释中的重要性

Q1 Biochemistry, Genetics and Molecular Biology Biomolecular Detection and Quantification Pub Date : 2019-03-01 DOI:10.1016/j.bdq.2018.12.002
Jessica Schwaber , Stacey Andersen , Lars Nielsen
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引用次数: 23

摘要

转录组学实验中rna到cdna的转换步骤被广泛认为是低效和可变的,这使人们对进行定量转录组学分析的能力产生了怀疑。多项研究都集中在优化这一过程的方法上,结果得出了相互矛盾的建议。在这里,我们探讨了使用数字PCR的反转录效率问题以及RT方法对后续数据分析的影响。使用合成RNA标准,给出了一个示例实验,概述了一种方法:(1)确定相关的效率和变异性值,然后(2)将这些信息纳入下游分析,以提高定量转录组学实验的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Shedding light: The importance of reverse transcription efficiency standards in data interpretation

The RNA-to-cDNA conversion step in transcriptomics experiments is widely recognised as inefficient and variable, casting doubt on the ability to do quantitative transcriptomics analyses. Multiple studies have focused on ways to optimise this process, resulting in contradictory recommendations. Here we explore the problem of reverse transcription efficiency using digital PCR and the RT method’s impact on subsequent data analysis. Using synthetic RNA standards, an example experiment is presented, outlining a method to (1) determine relevant efficiency and variability values and then to (2) incorporate this information into downstream analyses as a way to improve the accuracy of quantitative transcriptomics experiments.

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来源期刊
Biomolecular Detection and Quantification
Biomolecular Detection and Quantification Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.20
自引率
0.00%
发文量
0
审稿时长
8 weeks
期刊最新文献
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