用于微小RNA定量的数据归一化策略
Data Normalization Strategies for MicroRNA Quantification.
作者信息
Schwarzenbach Heidi, da Silva Andreia Machado, Calin George, Pantel Klaus
机构信息
Department of Tumour Biology, Center of Experimental Medicine, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany;
Department of Experimental Therapeutics and The Center for RNA Interference and Non-Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, TX; Instituto de Investigação em Saúde, Universidade do Porto, Porto, Portugal; INEB, Institute of Biomedical Engineering, Universidade do Porto, Porto, Portugal.
出版信息
Clin Chem. 2015 Nov;61(11):1333-42. doi: 10.1373/clinchem.2015.239459. Epub 2015 Sep 25.
BACKGROUND
Different technologies, such as quantitative real-time PCR or microarrays, have been developed to measure microRNA (miRNA) expression levels. Quantification of miRNA transcripts implicates data normalization using endogenous and exogenous reference genes for data correction. However, there is no consensus about an optimal normalization strategy. The choice of a reference gene remains problematic and can have a serious impact on the actual available transcript levels and, consequently, on the biological interpretation of data.
CONTENT
In this review article we discuss the reliability of the use of small RNAs, commonly reported in the literature as miRNA expression normalizers, and compare different strategies used for data normalization.
SUMMARY
A workflow strategy is proposed for normalization of miRNA expression data in an attempt to provide a basis for the establishment of a global standard procedure that will allow comparison across studies.
背景
已经开发出不同技术，如定量实时聚合酶链反应或微阵列，用于测量微小RNA（miRNA）的表达水平。miRNA转录本的定量涉及使用内源性和外源性参考基因进行数据校正的数据标准化。然而，关于最佳标准化策略尚无共识。参考基因的选择仍然存在问题，并且会对实际可用的转录本水平产生严重影响，进而影响数据的生物学解释。
内容
在这篇综述文章中，我们讨论了文献中通常作为miRNA表达标准化物报道的小RNA使用的可靠性，并比较了用于数据标准化的不同策略。
总结
提出了一种用于miRNA表达数据标准化的工作流程策略，试图为建立一个全球标准程序提供基础，以便能够在不同研究之间进行比较。
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