Differential distribution of U6 (RNU6-1) expression in human carcinoma tissues demonstrates the requirement for caution in the internal control gene selection for microRNA quantification

International Journal of Molecular Medicine
Ge LouXu Gao

Abstract

Alterations in microRNA (miRNA) expression patterns have been associated with a number of human diseases. Accurate quantitation of miRNA levels is important for their use as biomarkers and in determining their functions. Although the issue of proper miRNA detection was solved with the introduction of standard reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) assays, numerous issues with the selection of appropriate internal control genes remain. U6 (RNU6‑1) snRNA, the most commonly used internal control gene in miRNA RT‑qPCR assays, was shown to be unstable in clinical samples, particularly cancer tissues. Identification of the distribution of U6 in different tissues is the premise of more accurate quantification of miRNAs. However, the distribution of U6 in human carcinoma tissues and corresponding normal tissues is unknown. In the present study, U6 levels were significantly higher in human breast carcinoma tissues compared with the corresponding normal tissues by RT‑qPCR. In the carcinoma or corresponding adjacent normal tissues, the expression levels of U6 in epithelial cells were higher than those in the mesenchymal cells. Furthermore, the expression levels of U6 in the carcinoma tissues of the liver an...Continue Reading

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Citations

Feb 24, 2016·Cancer Cell International·Jiaqi WangShanrong Liu
Apr 5, 2016·Journal of Clinical Medicine·Jian Shi
Jul 30, 2017·International Journal of Molecular Sciences·Pei-Yin TsaiMei-Tsz Su
Oct 31, 2017·Pathology Oncology Research : POR·Edward SeclamanCatalin Marian
Dec 12, 2019·Frontiers in Molecular Neuroscience·Theodora KalpachidouMichaela Kress
May 10, 2020·The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences·Daniel C ParkerKim M Huffman
May 16, 2019·Cellular and Molecular Life Sciences : CMLS·Soheil MadadiMeysam Soleimani
May 15, 2020·Non-coding RNA·Yuliya A VeryaskinaIgor F Zhimulev
Dec 6, 2020·Scientific Reports·Giovanni CochettiEttore Mearini

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