Cargando…
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....
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1784653253445681152 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8853544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT veryaskinayuliyaa selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT titovsergeie selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT ivanovmikhailk selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT ruzankinpavels selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT tarasenkoantons selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT shevchenkosergeip selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT kovynevigorb selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT stupakevgenijv selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT pospelovatatianai selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer AT zhimulevigorf selectionofreferencegenesforquantitativeanalysisofmicrornaexpressioninthreedifferenttypesofcancer |