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Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer

BACKGROUND: RT-qPCR quantification of miRNAs expression may play an essential role in pancreatic ductal adenocarcinoma (PDAC) diagnostics. RT-qPCR-based experiments require endogenous controls for the result normalization and reliability. However, expression instability of reference genes in tumors...

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Autores principales: Popov, Alexey, Szabo, Arpad, Mandys, Václav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619559/
https://www.ncbi.nlm.nih.gov/pubmed/26499892
http://dx.doi.org/10.1186/s12885-015-1785-9
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author Popov, Alexey
Szabo, Arpad
Mandys, Václav
author_facet Popov, Alexey
Szabo, Arpad
Mandys, Václav
author_sort Popov, Alexey
collection PubMed
description BACKGROUND: RT-qPCR quantification of miRNAs expression may play an essential role in pancreatic ductal adenocarcinoma (PDAC) diagnostics. RT-qPCR-based experiments require endogenous controls for the result normalization and reliability. However, expression instability of reference genes in tumors may introduce bias when determining miRNA levels. METHODS: We investigated expression of 6 miRNAs, isolated from FFPE samples of pancreatic adenocarcinomas. Four internal controls were utilized for RT-qPCR result normalization: artificial miR-39 from C. elegans, U6 snRNA, miR-16 and snoRNA U91. RESULTS: We found miR-21, miR-155 or miR-217 expression values in tumors may differ up to several times, depending on selected internal controls. Moreover, different internal controls can produce controversial results for miR-96, miR-148a or miR-196a quantification. Also, expression of our endogenous controls varied significantly in tumors. U6 demonstrated variation from −1.03 to 8.12-fold, miR-16 from −2.94 up to 7.38-fold and the U91 from −3.05 to 4.36-fold respectively. On the other hand, the most stable gene, determined by NormFinder algorithm, was U91. Each miRNA normalized relatively to the spike or U91, demonstrated similar expression values. Thus, statistically significant and insignificant differences between tumors and normal tissues for miRNAs were equal for the spike and the U91. Also, the differences between the spike and U91 were statistically insignificant for all of miRs except miR-217. Among three endogenous controls, U91 had the lowest average expression values and standard deviation in cancer tissues. CONCLUSIONS: We recommend U91 as a new normalizer for miRNA quantification in PDACs.
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spelling pubmed-46195592015-10-26 Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer Popov, Alexey Szabo, Arpad Mandys, Václav BMC Cancer Research Article BACKGROUND: RT-qPCR quantification of miRNAs expression may play an essential role in pancreatic ductal adenocarcinoma (PDAC) diagnostics. RT-qPCR-based experiments require endogenous controls for the result normalization and reliability. However, expression instability of reference genes in tumors may introduce bias when determining miRNA levels. METHODS: We investigated expression of 6 miRNAs, isolated from FFPE samples of pancreatic adenocarcinomas. Four internal controls were utilized for RT-qPCR result normalization: artificial miR-39 from C. elegans, U6 snRNA, miR-16 and snoRNA U91. RESULTS: We found miR-21, miR-155 or miR-217 expression values in tumors may differ up to several times, depending on selected internal controls. Moreover, different internal controls can produce controversial results for miR-96, miR-148a or miR-196a quantification. Also, expression of our endogenous controls varied significantly in tumors. U6 demonstrated variation from −1.03 to 8.12-fold, miR-16 from −2.94 up to 7.38-fold and the U91 from −3.05 to 4.36-fold respectively. On the other hand, the most stable gene, determined by NormFinder algorithm, was U91. Each miRNA normalized relatively to the spike or U91, demonstrated similar expression values. Thus, statistically significant and insignificant differences between tumors and normal tissues for miRNAs were equal for the spike and the U91. Also, the differences between the spike and U91 were statistically insignificant for all of miRs except miR-217. Among three endogenous controls, U91 had the lowest average expression values and standard deviation in cancer tissues. CONCLUSIONS: We recommend U91 as a new normalizer for miRNA quantification in PDACs. BioMed Central 2015-10-24 /pmc/articles/PMC4619559/ /pubmed/26499892 http://dx.doi.org/10.1186/s12885-015-1785-9 Text en © Popov et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Popov, Alexey
Szabo, Arpad
Mandys, Václav
Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer
title Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer
title_full Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer
title_fullStr Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer
title_full_unstemmed Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer
title_short Small nucleolar RNA U91 is a new internal control for accurate microRNAs quantification in pancreatic cancer
title_sort small nucleolar rna u91 is a new internal control for accurate micrornas quantification in pancreatic cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619559/
https://www.ncbi.nlm.nih.gov/pubmed/26499892
http://dx.doi.org/10.1186/s12885-015-1785-9
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