Literature DB >> 21741950

Reference genes for the relative quantification of microRNAs in renal cell carcinomas and their metastases.

Zofia Wotschofsky1, Helmuth-Alexander Meyer, Monika Jung, Annika Fendler, Ina Wagner, Carsten Stephan, Jonas Busch, Andreas Erbersdobler, Alexander C Disch, Hans-Joachim Mollenkopf, Klaus Jung.   

Abstract

To obtain accurate results in miRNA expression changes between different sample sets using real-time quantitative polymerase chain reaction (RT-qPCR) analyses, normalization to reference genes that are stably expressed across the sample sets is generally used. A literature search of miRNA expression studies in renal cell carcinoma (RCC) proved that non-miRNAs such as small RNAs or mRNAs have most frequently been used without preceding validation of their suitability. In this study, the most stably expressed miRNAs were ascertained from microarray-based data of miRNA expression in nonmalignant and malignant samples from clear cell RCC and from corresponding distant RCC metastases using the geNorm and NormFinder algorithms. Validation experiments with RT-qPCR were performed for the four best-ranked miRNAs (miR-28, miR-103, miR-106a, miR-151) together with the small RNU6B, RNU44, and RNU48 mostly described in literature. miR-28, miR-103, miR-106a, and RNU48 were proved as the most stably expressed genes. miR-28 is recommended as normalizer if only a single reference gene can be used, while the combinations of miR-28 and miR-103 or of miR-28, miR-103, and miR-106a, respectively, are preferred. RNU6B most frequently used as normalizer in miRNA expression studies should be abandoned in order to avoid misleading results.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21741950     DOI: 10.1016/j.ab.2011.06.009

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  46 in total

1.  MicroRNA associated with dyslipidemia and coronary disease in humans.

Authors:  Elena Flowers; Bradley E Aouizerat
Journal:  Physiol Genomics       Date:  2013-10-29       Impact factor: 3.107

2.  MicroRNA 28 controls cell proliferation and is down-regulated in B-cell lymphomas.

Authors:  Christof Schneider; Manu Setty; Antony B Holmes; Roy L Maute; Christina S Leslie; Lara Mussolin; Angelo Rosolen; Riccardo Dalla-Favera; Katia Basso
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-19       Impact factor: 11.205

3.  Multiple microRNAs derived from chemically synthesized precursors regulate thrombospondin 1 expression.

Authors:  Afzal M Dogar; Giuseppe Semplicio; Boris Guennewig; Jonathan Hall
Journal:  Nucleic Acid Ther       Date:  2014-01-20       Impact factor: 5.486

4.  Circulating cell-free microRNAs as biomarkers for colorectal cancer.

Authors:  Yuji Toiyama; Koji Tanaka; Yasuhiro Inoue; Yasuhiko Mohri; Masato Kusunoki
Journal:  Surg Today       Date:  2015-02-25       Impact factor: 2.549

Review 5.  Data Normalization Strategies for MicroRNA Quantification.

Authors:  Heidi Schwarzenbach; Andreia Machado da Silva; George Calin; Klaus Pantel
Journal:  Clin Chem       Date:  2015-09-25       Impact factor: 8.327

Review 6.  Renal Carcinogenesis, Tumor Heterogeneity, and Reactive Oxygen Species: Tactics Evolved.

Authors:  Karthigayan Shanmugasundaram; Karen Block
Journal:  Antioxid Redox Signal       Date:  2016-07-27       Impact factor: 8.401

7.  Identification of Reference Genes for Analysis of microRNA Expression Patterns in Equine Chorioallantoic Membrane and Serum.

Authors:  Pouya Dini; Shavahn C Loux; Kirsten E Scoggin; Alejandro Esteller-Vico; Edward L Squires; Mats H T Troedsson; Peter Daels; Barry A Ball
Journal:  Mol Biotechnol       Date:  2018-01       Impact factor: 2.695

Review 8.  MicroRNAs as lung cancer biomarkers.

Authors:  Valerio Del Vescovo; Margherita Grasso; Mattia Barbareschi; Michela A Denti
Journal:  World J Clin Oncol       Date:  2014-10-10

9.  Determination of reference microRNAs for relative quantification in porcine tissues.

Authors:  Oriol Timoneda; Ingrid Balcells; Sarai Córdoba; Anna Castelló; Armand Sánchez
Journal:  PLoS One       Date:  2012-09-10       Impact factor: 3.240

10.  Identification of metastamirs as metastasis-associated microRNAs in clear cell renal cell carcinomas.

Authors:  Zofia Wotschofsky; Julia Liep; Hellmuth-Alexander Meyer; Monika Jung; Ina Wagner; Alexander C Disch; Klaus D Schaser; Ingo Melcher; Ergin Kilic; Jonas Busch; Steffen Weikert; Kurt Miller; Andreas Erbersdobler; Hans-Joachim Mollenkopf; Klaus Jung
Journal:  Int J Biol Sci       Date:  2012-10-28       Impact factor: 6.580

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.