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Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data

BACKGROUND: Real-time reverse transcriptase quantitative polymerase chain reaction (real-time RT-qPCR) is the most accurate measure of gene expression in biological systems. The comparison of different samples requires the transformation of data through a process called normalisation. Reference or h...

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Autores principales: Maccoux, Lindsey J, Clements, Dylan N, Salway, Fiona, Day, Philip JR
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1976117/
https://www.ncbi.nlm.nih.gov/pubmed/17651481
http://dx.doi.org/10.1186/1471-2199-8-62
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author Maccoux, Lindsey J
Clements, Dylan N
Salway, Fiona
Day, Philip JR
author_facet Maccoux, Lindsey J
Clements, Dylan N
Salway, Fiona
Day, Philip JR
author_sort Maccoux, Lindsey J
collection PubMed
description BACKGROUND: Real-time reverse transcriptase quantitative polymerase chain reaction (real-time RT-qPCR) is the most accurate measure of gene expression in biological systems. The comparison of different samples requires the transformation of data through a process called normalisation. Reference or housekeeping genes are candidate genes which are selected on the basis of constitutive expression across samples, and allow the quantification of changes in gene expression. At present, no reference gene has been identified for any organism which is universally optimal for use across different tissue types or disease situations. We used microarray data to identify new reference genes generated from total RNA isolated from normal and osteoarthritic canine articular tissues (bone, ligament, cartilage, synovium and fat). RT-qPCR assays were designed and applied to each different articular tissue. Reference gene expression stability and ranking was compared using three different mathematical algorithms. RESULTS: Twelve new potential reference genes were identified from microarray data. One gene (mitochondrial ribosomal protein S7 [MRPS7]) was stably expressed in all five of the articular tissues evaluated. One gene HIRA interacting protein 5 isoform 2 [HIRP5]) was stably expressed in four of the tissues evaluated. A commonly used reference gene glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was not stably expressed in any of the tissues evaluated. Most consistent agreement between rank ordering of reference genes was observed between Bestkeeper© and geNorm, although each method tended to agree on the identity of the most stably expressed genes and the least stably expressed genes for each tissue. New reference genes identified using microarray data normalised in a conventional manner were more stable than those identified by microarray data normalised by using a real-time RT-qPCR methodology. CONCLUSION: Microarray data normalised by a conventional manner can be filtered using a simple stepwise procedure to identify new reference genes, some of which will demonstrate good measures of stability. Mitochondrial ribosomal protein S7 is a new reference gene worthy of investigation in other canine tissues and diseases. Different methods of reference gene stability assessment will generally agree on the most and least stably expressed genes, when co-regulation is not present.
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spelling pubmed-19761172007-09-12 Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data Maccoux, Lindsey J Clements, Dylan N Salway, Fiona Day, Philip JR BMC Mol Biol Research Article BACKGROUND: Real-time reverse transcriptase quantitative polymerase chain reaction (real-time RT-qPCR) is the most accurate measure of gene expression in biological systems. The comparison of different samples requires the transformation of data through a process called normalisation. Reference or housekeeping genes are candidate genes which are selected on the basis of constitutive expression across samples, and allow the quantification of changes in gene expression. At present, no reference gene has been identified for any organism which is universally optimal for use across different tissue types or disease situations. We used microarray data to identify new reference genes generated from total RNA isolated from normal and osteoarthritic canine articular tissues (bone, ligament, cartilage, synovium and fat). RT-qPCR assays were designed and applied to each different articular tissue. Reference gene expression stability and ranking was compared using three different mathematical algorithms. RESULTS: Twelve new potential reference genes were identified from microarray data. One gene (mitochondrial ribosomal protein S7 [MRPS7]) was stably expressed in all five of the articular tissues evaluated. One gene HIRA interacting protein 5 isoform 2 [HIRP5]) was stably expressed in four of the tissues evaluated. A commonly used reference gene glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was not stably expressed in any of the tissues evaluated. Most consistent agreement between rank ordering of reference genes was observed between Bestkeeper© and geNorm, although each method tended to agree on the identity of the most stably expressed genes and the least stably expressed genes for each tissue. New reference genes identified using microarray data normalised in a conventional manner were more stable than those identified by microarray data normalised by using a real-time RT-qPCR methodology. CONCLUSION: Microarray data normalised by a conventional manner can be filtered using a simple stepwise procedure to identify new reference genes, some of which will demonstrate good measures of stability. Mitochondrial ribosomal protein S7 is a new reference gene worthy of investigation in other canine tissues and diseases. Different methods of reference gene stability assessment will generally agree on the most and least stably expressed genes, when co-regulation is not present. BioMed Central 2007-07-25 /pmc/articles/PMC1976117/ /pubmed/17651481 http://dx.doi.org/10.1186/1471-2199-8-62 Text en Copyright © 2007 Maccoux 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 Research Article
Maccoux, Lindsey J
Clements, Dylan N
Salway, Fiona
Day, Philip JR
Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data
title Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data
title_full Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data
title_fullStr Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data
title_full_unstemmed Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data
title_short Identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data
title_sort identification of new reference genes for the normalisation of canine osteoarthritic joint tissue transcripts from microarray data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1976117/
https://www.ncbi.nlm.nih.gov/pubmed/17651481
http://dx.doi.org/10.1186/1471-2199-8-62
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