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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. и др.

в: PLoS ONE, Том 17, № 2 February, e0254304, 02.2022.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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Veryaskina YA, Titov SE, Ivanov MK, Ruzankin PS, Tarasenko AS, Shevchenko SP и др. Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer. PLoS ONE. 2022 февр.;17(2 February):e0254304. doi: 10.1371/journal.pone.0254304

Author

Veryaskina, Yuliya A. ; Titov, Sergei E. ; Ivanov, Mikhail K. и др. / Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer. в: PLoS ONE. 2022 ; Том 17, № 2 February.

BibTeX

@article{9b67dd55caab4d31a1b9127e0814aa15,
title = "Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer",
abstract = "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.",
keywords = "Biomarkers, Tumor/genetics, Bone Marrow Neoplasms/genetics, Brain Neoplasms/genetics, Case-Control Studies, Gene Expression Profiling/standards, Gene Expression Regulation, Neoplastic, Humans, MicroRNAs/genetics, Prognosis, Reference Standards, Thyroid Neoplasms/genetics",
author = "Veryaskina, {Yuliya A.} and Titov, {Sergei E.} and Ivanov, {Mikhail K.} and Ruzankin, {Pavel S.} and Tarasenko, {Anton S.} and Shevchenko, {Sergei P.} and Kovynev, {Igor B.} and Stupak, {Evgenij V.} and Pospelova, {Tatiana I.} and Zhimulev, {Igor F.}",
note = "Publisher Copyright: Copyright: {\textcopyright} 2022 Veryaskina et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2022",
month = feb,
doi = "10.1371/journal.pone.0254304",
language = "English",
volume = "17",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "2 February",

}

RIS

TY - JOUR

T1 - Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer

AU - Veryaskina, Yuliya A.

AU - Titov, Sergei E.

AU - Ivanov, Mikhail K.

AU - Ruzankin, Pavel S.

AU - Tarasenko, Anton S.

AU - Shevchenko, Sergei P.

AU - Kovynev, Igor B.

AU - Stupak, Evgenij V.

AU - Pospelova, Tatiana I.

AU - Zhimulev, Igor F.

N1 - Publisher Copyright: Copyright: © 2022 Veryaskina et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2022/2

Y1 - 2022/2

N2 - 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.

AB - 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.

KW - Biomarkers, Tumor/genetics

KW - Bone Marrow Neoplasms/genetics

KW - Brain Neoplasms/genetics

KW - Case-Control Studies

KW - Gene Expression Profiling/standards

KW - Gene Expression Regulation, Neoplastic

KW - Humans

KW - MicroRNAs/genetics

KW - Prognosis

KW - Reference Standards

KW - Thyroid Neoplasms/genetics

UR - http://www.scopus.com/inward/record.url?scp=85124777344&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0254304

DO - 10.1371/journal.pone.0254304

M3 - Article

C2 - 35176014

AN - SCOPUS:85124777344

VL - 17

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 2 February

M1 - e0254304

ER -

ID: 35539661