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HMBS is the most suitable reference gene for RT-qPCR in human HCC tissues and blood samples
Reverse transcription-quantitative (RT-q) PCR is the most feasible and useful technique for identifying and evaluating cancer biomarkers; however, the method requires suitable reference genes for gene expression analysis. The aim of the present study was to identify the most suitable reference gene...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461756/ https://www.ncbi.nlm.nih.gov/pubmed/34584568 http://dx.doi.org/10.3892/ol.2021.13052 |
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author | Ahn, Hye Ri Baek, Geum Ok Yoon, Moon Gyeong Son, Ju A You, Donglim Yoon, Jung Hwan Cho, Hyo Jung Kim, Soon Sun Cheong, Jae Yeon Eun, Jung Woo |
author_facet | Ahn, Hye Ri Baek, Geum Ok Yoon, Moon Gyeong Son, Ju A You, Donglim Yoon, Jung Hwan Cho, Hyo Jung Kim, Soon Sun Cheong, Jae Yeon Eun, Jung Woo |
author_sort | Ahn, Hye Ri |
collection | PubMed |
description | Reverse transcription-quantitative (RT-q) PCR is the most feasible and useful technique for identifying and evaluating cancer biomarkers; however, the method requires suitable reference genes for gene expression analysis. The aim of the present study was to identify the most suitable reference gene for the normalization of relative gene expression in human hepatocellular carcinoma (HCC) tissue and blood samples. First, 14 candidate reference genes were selected through a systematic literature search. The expression levels of these genes (ACTB, B2M, GAPDH, GUSB, HMBS, HPRT1, PGK1, PPIA, RPLP0, RPL13A, SDHA, TBP, TFRC and YWHAZ) were evaluated using human multistage HCC transcriptome data (dataset GSE114564), which included normal liver (n=15), chronic hepatitis (n=20), liver cirrhosis (n=10), and early (n=18) and advanced HCC (n=45). From the 14 selected genes, five genes, whose expression levels were stable in all liver disease statuses (ACTB, GAPDH, HMBS, PPIA and RPLP0), were further assessed using RT-qPCR in 40 tissues (20 paired healthy tissues and 20 tissues from patients with HCC) and 40 blood samples (20 healthy controls and 20 samples from patients with HCC). BestKeeper statistical algorithms were used to identify the most stable reference genes, of which HMBS was found to be the most stable in both HCC tissues and blood samples. Therefore, the results of the present study suggest HMBS as a promising reference gene for the normalization of relative RT-qPCR techniques in HCC-related studies. |
format | Online Article Text |
id | pubmed-8461756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-84617562021-09-27 HMBS is the most suitable reference gene for RT-qPCR in human HCC tissues and blood samples Ahn, Hye Ri Baek, Geum Ok Yoon, Moon Gyeong Son, Ju A You, Donglim Yoon, Jung Hwan Cho, Hyo Jung Kim, Soon Sun Cheong, Jae Yeon Eun, Jung Woo Oncol Lett Articles Reverse transcription-quantitative (RT-q) PCR is the most feasible and useful technique for identifying and evaluating cancer biomarkers; however, the method requires suitable reference genes for gene expression analysis. The aim of the present study was to identify the most suitable reference gene for the normalization of relative gene expression in human hepatocellular carcinoma (HCC) tissue and blood samples. First, 14 candidate reference genes were selected through a systematic literature search. The expression levels of these genes (ACTB, B2M, GAPDH, GUSB, HMBS, HPRT1, PGK1, PPIA, RPLP0, RPL13A, SDHA, TBP, TFRC and YWHAZ) were evaluated using human multistage HCC transcriptome data (dataset GSE114564), which included normal liver (n=15), chronic hepatitis (n=20), liver cirrhosis (n=10), and early (n=18) and advanced HCC (n=45). From the 14 selected genes, five genes, whose expression levels were stable in all liver disease statuses (ACTB, GAPDH, HMBS, PPIA and RPLP0), were further assessed using RT-qPCR in 40 tissues (20 paired healthy tissues and 20 tissues from patients with HCC) and 40 blood samples (20 healthy controls and 20 samples from patients with HCC). BestKeeper statistical algorithms were used to identify the most stable reference genes, of which HMBS was found to be the most stable in both HCC tissues and blood samples. Therefore, the results of the present study suggest HMBS as a promising reference gene for the normalization of relative RT-qPCR techniques in HCC-related studies. D.A. Spandidos 2021-11 2021-09-17 /pmc/articles/PMC8461756/ /pubmed/34584568 http://dx.doi.org/10.3892/ol.2021.13052 Text en Copyright: © Ahn et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Ahn, Hye Ri Baek, Geum Ok Yoon, Moon Gyeong Son, Ju A You, Donglim Yoon, Jung Hwan Cho, Hyo Jung Kim, Soon Sun Cheong, Jae Yeon Eun, Jung Woo HMBS is the most suitable reference gene for RT-qPCR in human HCC tissues and blood samples |
title | HMBS is the most suitable reference gene for RT-qPCR in human HCC tissues and blood samples |
title_full | HMBS is the most suitable reference gene for RT-qPCR in human HCC tissues and blood samples |
title_fullStr | HMBS is the most suitable reference gene for RT-qPCR in human HCC tissues and blood samples |
title_full_unstemmed | HMBS is the most suitable reference gene for RT-qPCR in human HCC tissues and blood samples |
title_short | HMBS is the most suitable reference gene for RT-qPCR in human HCC tissues and blood samples |
title_sort | hmbs is the most suitable reference gene for rt-qpcr in human hcc tissues and blood samples |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461756/ https://www.ncbi.nlm.nih.gov/pubmed/34584568 http://dx.doi.org/10.3892/ol.2021.13052 |
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