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Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance

BACKGROUND: A limiting factor of cDNA microarray technology is the need for a substantial amount of RNA per labeling reaction. Thus, 20–200 micro-grams total RNA or 0.5–2 micro-grams poly (A) RNA is typically required for monitoring gene expression. In addition, gene expression profiles from large,...

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Autores principales: Nygaard, Vigdis, Løland, Anders, Holden, Marit, Langaas, Mette, Rue, Håvard, Liu, Fang, Myklebost, Ola, Fodstad, Øystein, Hovig, Eivind, Smith-Sørensen, Birgitte
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC153514/
https://www.ncbi.nlm.nih.gov/pubmed/12659661
http://dx.doi.org/10.1186/1471-2164-4-11
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author Nygaard, Vigdis
Løland, Anders
Holden, Marit
Langaas, Mette
Rue, Håvard
Liu, Fang
Myklebost, Ola
Fodstad, Øystein
Hovig, Eivind
Smith-Sørensen, Birgitte
author_facet Nygaard, Vigdis
Løland, Anders
Holden, Marit
Langaas, Mette
Rue, Håvard
Liu, Fang
Myklebost, Ola
Fodstad, Øystein
Hovig, Eivind
Smith-Sørensen, Birgitte
author_sort Nygaard, Vigdis
collection PubMed
description BACKGROUND: A limiting factor of cDNA microarray technology is the need for a substantial amount of RNA per labeling reaction. Thus, 20–200 micro-grams total RNA or 0.5–2 micro-grams poly (A) RNA is typically required for monitoring gene expression. In addition, gene expression profiles from large, heterogeneous cell populations provide complex patterns from which biological data for the target cells may be difficult to extract. In this study, we chose to investigate a widely used mRNA amplification protocol that allows gene expression studies to be performed on samples with limited starting material. We present a quantitative study of the variation and noise present in our data set obtained from experiments with either amplified or non-amplified material. RESULTS: Using analysis of variance (ANOVA) and multiple hypothesis testing, we estimated the impact of amplification on the preservation of gene expression ratios. Both methods showed that the gene expression ratios were not completely preserved between amplified and non-amplified material. We also compared the expression ratios between the two cell lines for the amplified material with expression ratios between the two cell lines for the non-amplified material for each gene. With the aid of multiple t-testing with a false discovery rate of 5%, we found that 10% of the genes investigated showed significantly different expression ratios. CONCLUSION: Although the ratios were not fully preserved, amplification may prove to be extremely useful with respect to characterizing low expressing genes.
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spelling pubmed-1535142003-04-19 Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance Nygaard, Vigdis Løland, Anders Holden, Marit Langaas, Mette Rue, Håvard Liu, Fang Myklebost, Ola Fodstad, Øystein Hovig, Eivind Smith-Sørensen, Birgitte BMC Genomics Research Article BACKGROUND: A limiting factor of cDNA microarray technology is the need for a substantial amount of RNA per labeling reaction. Thus, 20–200 micro-grams total RNA or 0.5–2 micro-grams poly (A) RNA is typically required for monitoring gene expression. In addition, gene expression profiles from large, heterogeneous cell populations provide complex patterns from which biological data for the target cells may be difficult to extract. In this study, we chose to investigate a widely used mRNA amplification protocol that allows gene expression studies to be performed on samples with limited starting material. We present a quantitative study of the variation and noise present in our data set obtained from experiments with either amplified or non-amplified material. RESULTS: Using analysis of variance (ANOVA) and multiple hypothesis testing, we estimated the impact of amplification on the preservation of gene expression ratios. Both methods showed that the gene expression ratios were not completely preserved between amplified and non-amplified material. We also compared the expression ratios between the two cell lines for the amplified material with expression ratios between the two cell lines for the non-amplified material for each gene. With the aid of multiple t-testing with a false discovery rate of 5%, we found that 10% of the genes investigated showed significantly different expression ratios. CONCLUSION: Although the ratios were not fully preserved, amplification may prove to be extremely useful with respect to characterizing low expressing genes. BioMed Central 2003-03-23 /pmc/articles/PMC153514/ /pubmed/12659661 http://dx.doi.org/10.1186/1471-2164-4-11 Text en Copyright © 2003 Nygaard et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Nygaard, Vigdis
Løland, Anders
Holden, Marit
Langaas, Mette
Rue, Håvard
Liu, Fang
Myklebost, Ola
Fodstad, Øystein
Hovig, Eivind
Smith-Sørensen, Birgitte
Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance
title Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance
title_full Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance
title_fullStr Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance
title_full_unstemmed Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance
title_short Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance
title_sort effects of mrna amplification on gene expression ratios in cdna experiments estimated by analysis of variance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC153514/
https://www.ncbi.nlm.nih.gov/pubmed/12659661
http://dx.doi.org/10.1186/1471-2164-4-11
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