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Assessment of suitable reference genes for RT–qPCR studies in chronic rhinosinusitis
Reverse transcription–quantitative polymerase chain reaction is a valuable and reliable method for gene quantification. Target gene expression is usually quantified by normalization using reference genes (RGs), and accurate normalization is critical for producing reliable data. However, stable RGs i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5785529/ https://www.ncbi.nlm.nih.gov/pubmed/29371606 http://dx.doi.org/10.1038/s41598-018-19834-9 |
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author | Nakayama, Tsuguhisa Okada, Naoko Yoshikawa, Mamoru Asaka, Daiya Kuboki, Akihito Kojima, Hiromi Tanaka, Yasuhiro Haruna, Shin-ichi |
author_facet | Nakayama, Tsuguhisa Okada, Naoko Yoshikawa, Mamoru Asaka, Daiya Kuboki, Akihito Kojima, Hiromi Tanaka, Yasuhiro Haruna, Shin-ichi |
author_sort | Nakayama, Tsuguhisa |
collection | PubMed |
description | Reverse transcription–quantitative polymerase chain reaction is a valuable and reliable method for gene quantification. Target gene expression is usually quantified by normalization using reference genes (RGs), and accurate normalization is critical for producing reliable data. However, stable RGs in nasal polyps and sinonasal tissues from patients with chronic rhinosinusitis (CRS) have not been well investigated. Here, we used a two-stage study design to identify stable RGs. We assessed the stability of 15 commonly used candidate RGs using five programs—geNorm, NormFinder, BestKeeper, ΔCT, and RefFinder. Ribosomal protein lateral stalk subunit P1 (RPLP1) and ribosomal protein lateral stalk subunit P0 (RPLP0) were the two most stable RGs in the first stage of the study, and these results were validated in the second stage. The commonly used RGs β-actin (ACTB) and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) were unstable according to all of the algorithms used. The findings were further validated via relative quantification of IL-5, CCL11, IFN-γ, and IL-17A using the stable and unstable RGs. The relative expression levels varied greatly according to normalization with the selected RGs. Appropriate selection of stable RGs will allow more accurate determination of target gene expression levels in patients with CRS. |
format | Online Article Text |
id | pubmed-5785529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57855292018-02-07 Assessment of suitable reference genes for RT–qPCR studies in chronic rhinosinusitis Nakayama, Tsuguhisa Okada, Naoko Yoshikawa, Mamoru Asaka, Daiya Kuboki, Akihito Kojima, Hiromi Tanaka, Yasuhiro Haruna, Shin-ichi Sci Rep Article Reverse transcription–quantitative polymerase chain reaction is a valuable and reliable method for gene quantification. Target gene expression is usually quantified by normalization using reference genes (RGs), and accurate normalization is critical for producing reliable data. However, stable RGs in nasal polyps and sinonasal tissues from patients with chronic rhinosinusitis (CRS) have not been well investigated. Here, we used a two-stage study design to identify stable RGs. We assessed the stability of 15 commonly used candidate RGs using five programs—geNorm, NormFinder, BestKeeper, ΔCT, and RefFinder. Ribosomal protein lateral stalk subunit P1 (RPLP1) and ribosomal protein lateral stalk subunit P0 (RPLP0) were the two most stable RGs in the first stage of the study, and these results were validated in the second stage. The commonly used RGs β-actin (ACTB) and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) were unstable according to all of the algorithms used. The findings were further validated via relative quantification of IL-5, CCL11, IFN-γ, and IL-17A using the stable and unstable RGs. The relative expression levels varied greatly according to normalization with the selected RGs. Appropriate selection of stable RGs will allow more accurate determination of target gene expression levels in patients with CRS. Nature Publishing Group UK 2018-01-25 /pmc/articles/PMC5785529/ /pubmed/29371606 http://dx.doi.org/10.1038/s41598-018-19834-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nakayama, Tsuguhisa Okada, Naoko Yoshikawa, Mamoru Asaka, Daiya Kuboki, Akihito Kojima, Hiromi Tanaka, Yasuhiro Haruna, Shin-ichi Assessment of suitable reference genes for RT–qPCR studies in chronic rhinosinusitis |
title | Assessment of suitable reference genes for RT–qPCR studies in chronic rhinosinusitis |
title_full | Assessment of suitable reference genes for RT–qPCR studies in chronic rhinosinusitis |
title_fullStr | Assessment of suitable reference genes for RT–qPCR studies in chronic rhinosinusitis |
title_full_unstemmed | Assessment of suitable reference genes for RT–qPCR studies in chronic rhinosinusitis |
title_short | Assessment of suitable reference genes for RT–qPCR studies in chronic rhinosinusitis |
title_sort | assessment of suitable reference genes for rt–qpcr studies in chronic rhinosinusitis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5785529/ https://www.ncbi.nlm.nih.gov/pubmed/29371606 http://dx.doi.org/10.1038/s41598-018-19834-9 |
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