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Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR
BACKGROUND: Considering the broad variation in the expression of housekeeping genes among tissues and experimental situations, studies using quantitative RT-PCR require strict definition of adequate endogenous controls. For glioblastoma, the most common type of tumor in the central nervous system, t...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2661085/ https://www.ncbi.nlm.nih.gov/pubmed/19257903 http://dx.doi.org/10.1186/1471-2199-10-17 |
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author | Valente, Valeria Teixeira, Silvia A Neder, Luciano Okamoto, Oswaldo K Oba-Shinjo, Sueli M Marie, Suely KN Scrideli, Carlos A Paçó-Larson, Maria L Carlotti, Carlos G |
author_facet | Valente, Valeria Teixeira, Silvia A Neder, Luciano Okamoto, Oswaldo K Oba-Shinjo, Sueli M Marie, Suely KN Scrideli, Carlos A Paçó-Larson, Maria L Carlotti, Carlos G |
author_sort | Valente, Valeria |
collection | PubMed |
description | BACKGROUND: Considering the broad variation in the expression of housekeeping genes among tissues and experimental situations, studies using quantitative RT-PCR require strict definition of adequate endogenous controls. For glioblastoma, the most common type of tumor in the central nervous system, there was no previous report regarding this issue. RESULTS: Here we show that amongst seven frequently used housekeeping genes TBP and HPRT1 are adequate references for glioblastoma gene expression analysis. Evaluation of the expression levels of 12 target genes utilizing different endogenous controls revealed that the normalization method applied might introduce errors in the estimation of relative quantities. Genes presenting expression levels which do not significantly differ between tumor and normal tissues can be considered either increased or decreased if unsuitable reference genes are applied. Most importantly, genes showing significant differences in expression levels between tumor and normal tissues can be missed. We also demonstrated that the Holliday Junction Recognizing Protein, a novel DNA repair protein over expressed in lung cancer, is extremely over-expressed in glioblastoma, with a median change of about 134 fold. CONCLUSION: Altogether, our data show the relevance of previous validation of candidate control genes for each experimental model and indicate TBP plus HPRT1 as suitable references for studies on glioblastoma gene expression. |
format | Text |
id | pubmed-2661085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26610852009-03-26 Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR Valente, Valeria Teixeira, Silvia A Neder, Luciano Okamoto, Oswaldo K Oba-Shinjo, Sueli M Marie, Suely KN Scrideli, Carlos A Paçó-Larson, Maria L Carlotti, Carlos G BMC Mol Biol Methodology Article BACKGROUND: Considering the broad variation in the expression of housekeeping genes among tissues and experimental situations, studies using quantitative RT-PCR require strict definition of adequate endogenous controls. For glioblastoma, the most common type of tumor in the central nervous system, there was no previous report regarding this issue. RESULTS: Here we show that amongst seven frequently used housekeeping genes TBP and HPRT1 are adequate references for glioblastoma gene expression analysis. Evaluation of the expression levels of 12 target genes utilizing different endogenous controls revealed that the normalization method applied might introduce errors in the estimation of relative quantities. Genes presenting expression levels which do not significantly differ between tumor and normal tissues can be considered either increased or decreased if unsuitable reference genes are applied. Most importantly, genes showing significant differences in expression levels between tumor and normal tissues can be missed. We also demonstrated that the Holliday Junction Recognizing Protein, a novel DNA repair protein over expressed in lung cancer, is extremely over-expressed in glioblastoma, with a median change of about 134 fold. CONCLUSION: Altogether, our data show the relevance of previous validation of candidate control genes for each experimental model and indicate TBP plus HPRT1 as suitable references for studies on glioblastoma gene expression. BioMed Central 2009-03-03 /pmc/articles/PMC2661085/ /pubmed/19257903 http://dx.doi.org/10.1186/1471-2199-10-17 Text en Copyright © 2009 Valente et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Valente, Valeria Teixeira, Silvia A Neder, Luciano Okamoto, Oswaldo K Oba-Shinjo, Sueli M Marie, Suely KN Scrideli, Carlos A Paçó-Larson, Maria L Carlotti, Carlos G Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR |
title | Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR |
title_full | Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR |
title_fullStr | Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR |
title_full_unstemmed | Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR |
title_short | Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR |
title_sort | selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative rt-pcr |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2661085/ https://www.ncbi.nlm.nih.gov/pubmed/19257903 http://dx.doi.org/10.1186/1471-2199-10-17 |
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