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10.1373/clinchem.2015.239459 http://scihub22266oqcxt.onion/10.1373/clinchem.2015.239459 C4890630!4890630 !26408530     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26408530 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Clin+Chem 2015 ; 61 (11 ): 1333-42 Nephropedia Template TP {{tp|p=26408530 |t=2015. Data Normalization Strategies for MicroRNA Quantification |pdf=|usr=}}{{26408530 }} gab.com Text Data Normalization Strategies for MicroRNA Quantification JO: Clin Chem http://www.kidney.de/pget.php?&tw=1&pmid=26408530 #FOAvip 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. Twit Text FOAVip Data Normalization Strategies for MicroRNA Quantification ????Clin Chem http://www.kidney.de/pget.php?&tw=1&pmid=26408530 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26408530 #FOAvip English Wikipedia <ref>{{Cite pmid|26408530 }}</ref> Data Normalization Strategies for MicroRNA Quantification #MMPMID26408530 Schwarzenbach H ; da Silva AM ; Calin G ; Pantel K Clin Chem 2015[Nov]; 61 (11 ): 1333-42 PMID26408530 show ga 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. |Animals [MESH] |Gene Expression Profiling/*methods/standards [MESH] |Humans [MESH] |MicroRNAs/*genetics [MESH] |Oligonucleotide Array Sequence Analysis/methods/standards [MESH] |Real-Time Polymerase Chain Reaction/*methods/standards [MESH] |Reference Standards [MESH] |Reproducibility of Results [MESH]Data Normalization Strategies for MicroRNA Quantification (epmc).pdf DeepDyve Pubget Overpricing