Vitenskapelig artikkel   2003

Nygaard, Vigdis; Løland, Anders; Holden, Marit; Langaas, Mette; Rue, Håvard; Liu, Fang; Myklebost, Ola; Fodstad, Øystein; Hovig, Eivind; Smith-Sørensen, Birgitte

Publication details

Journal:

BMC Genomics, vol. 4, 2003

Issue:

11

International Standard Numbers:

Printed: 1471-2164
Electronic: 1471-2164

Links:

SAMMENDRAG: http://www.biomedcentral.com/1471-2164/4/11
SAMMENDRAG: http://www.biomedcentral.com/1471-2164/4/11/
DOI: doi.org/10.1186/1471-2164-4-11


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.