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Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer

MicroRNAs (miRNAs) are promising biomarkers in cancer research. Quantitative PCR (qPCR), also known as real-time PCR, is the most frequently used technique for measuring miRNA expression levels. The use of this technique, however, requires that expression data be normalized against reference genes....

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Autores principales: Veryaskina, Yuliya A., Titov, Sergei E., Ivanov, Mikhail K., Ruzankin, Pavel S., Tarasenko, Anton S., Shevchenko, Sergei P., Kovynev, Igor B., Stupak, Evgenij V., Pospelova, Tatiana I., Zhimulev, Igor F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853544/
https://www.ncbi.nlm.nih.gov/pubmed/35176014
http://dx.doi.org/10.1371/journal.pone.0254304
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author Veryaskina, Yuliya A.
Titov, Sergei E.
Ivanov, Mikhail K.
Ruzankin, Pavel S.
Tarasenko, Anton S.
Shevchenko, Sergei P.
Kovynev, Igor B.
Stupak, Evgenij V.
Pospelova, Tatiana I.
Zhimulev, Igor F.
author_facet Veryaskina, Yuliya A.
Titov, Sergei E.
Ivanov, Mikhail K.
Ruzankin, Pavel S.
Tarasenko, Anton S.
Shevchenko, Sergei P.
Kovynev, Igor B.
Stupak, Evgenij V.
Pospelova, Tatiana I.
Zhimulev, Igor F.
author_sort Veryaskina, Yuliya A.
collection PubMed
description MicroRNAs (miRNAs) are promising biomarkers in cancer research. Quantitative PCR (qPCR), also known as real-time PCR, is the most frequently used technique for measuring miRNA expression levels. The use of this technique, however, requires that expression data be normalized against reference genes. The problem is that a universal internal control for quantitative analysis of miRNA expression by qPCR has yet to be known. The aim of this work was to find the miRNAs with stable expression in the thyroid gland, brain and bone marrow according to NanoString nCounter miRNA quantification data. As a results, the most stably expressed miRNAs were as follows: miR-361-3p, -151a-3p and -29b-3p in the thyroid gland; miR-15a-5p, -194-5p and -532-5p in the brain; miR-140-5p, -148b-3p and -362-5p in bone marrow; and miR-423-5p, -28-5p and -532-5p, no matter what tissue type. These miRNAs represent promising reference genes for miRNA quantification by qPCR.
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spelling pubmed-88535442022-02-18 Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer Veryaskina, Yuliya A. Titov, Sergei E. Ivanov, Mikhail K. Ruzankin, Pavel S. Tarasenko, Anton S. Shevchenko, Sergei P. Kovynev, Igor B. Stupak, Evgenij V. Pospelova, Tatiana I. Zhimulev, Igor F. PLoS One Research Article MicroRNAs (miRNAs) are promising biomarkers in cancer research. Quantitative PCR (qPCR), also known as real-time PCR, is the most frequently used technique for measuring miRNA expression levels. The use of this technique, however, requires that expression data be normalized against reference genes. The problem is that a universal internal control for quantitative analysis of miRNA expression by qPCR has yet to be known. The aim of this work was to find the miRNAs with stable expression in the thyroid gland, brain and bone marrow according to NanoString nCounter miRNA quantification data. As a results, the most stably expressed miRNAs were as follows: miR-361-3p, -151a-3p and -29b-3p in the thyroid gland; miR-15a-5p, -194-5p and -532-5p in the brain; miR-140-5p, -148b-3p and -362-5p in bone marrow; and miR-423-5p, -28-5p and -532-5p, no matter what tissue type. These miRNAs represent promising reference genes for miRNA quantification by qPCR. Public Library of Science 2022-02-17 /pmc/articles/PMC8853544/ /pubmed/35176014 http://dx.doi.org/10.1371/journal.pone.0254304 Text en © 2022 Veryaskina et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Veryaskina, Yuliya A.
Titov, Sergei E.
Ivanov, Mikhail K.
Ruzankin, Pavel S.
Tarasenko, Anton S.
Shevchenko, Sergei P.
Kovynev, Igor B.
Stupak, Evgenij V.
Pospelova, Tatiana I.
Zhimulev, Igor F.
Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer
title Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer
title_full Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer
title_fullStr Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer
title_full_unstemmed Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer
title_short Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer
title_sort selection of reference genes for quantitative analysis of microrna expression in three different types of cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853544/
https://www.ncbi.nlm.nih.gov/pubmed/35176014
http://dx.doi.org/10.1371/journal.pone.0254304
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