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10.1373/clinchem.2015.239459

http://scihub22266oqcxt.onion/10.1373/clinchem.2015.239459
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C4890630!4890630!26408530
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suck abstract from ncbi


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pmid26408530      Clin+Chem 2015 ; 61 (11): 1333-42
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  • Which is the accurate data normalization strategy for microRNA quantification? #MMPMID26408530
  • Schwarzenbach H; da Silva AM; Calin G; Pantel K
  • Clin Chem 2015[Nov]; 61 (11): 1333-42 PMID26408530show ga
  • Different technologies, such as quantitative real-time PCR or microarrays, have been developed to measure 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 to be problematic, and can have serious impact on the actual available transcript levels and consequently, on the biological interpretation of data. In this review article we intend to discuss the reliability of use of small RNAs commonly reported in the literature as miRNAs expression normalizers and to compare different normalization strategies used, setting the base for establishing a global standard of miRNAs expression data normalization.
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