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PMID: 15649378 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Real-time polymerase chain reaction-based exponential sample amplification for microarray gene expression profiling.

Analytical biochemistry ·Vol. 337 ·No. 1 ·2005-02-01 ·Pages 76-83

Nagy ZB, Kelemen JZ, Fehér LZ, Zvara A, Juhász K, Puskás LG

Abstract

Conventional approaches to target labeling for gene expression analysis using microarray technology typically require relatively large amounts of RNA, a serious limitation when the available sample is limited. Here we describe an alternative exponential sample amplification method by using quantitative real-time polymerase chain reaction (QRT-PCR) to follow the amplification and eliminate the overamplified cDNA which could distort the quantitative ratio of the starting mRNA population. Probes generated from nonamplified, PCR-amplified, and real-time-PCR-amplified cDNA samples were generated from lipopolysaccharide-treated and nontreated mouse macrophages and hybridized to mouse cDNA microarrays. Signals obtained from the three protocols were compared. Reproducibility and reliability of the methods were determined. The Pearson correlation coefficients for replica experiments were r=0.927 and r=0.687 for QRT-PCR-amplification and PCR-overamplification protocols, respectively. Chi2 test showed that overamplification resulted in major biases in expression ratios, while these alterations could be eliminated by following the cycling status with QRT-PCR. Our exponential sample amplification protocol preserves the original expression ratios and allows unbiased gene expression analysis from minute amounts of starting material.

MeSH Terms
Animals Cell Line DNA Probes Gene Expression Profiling/methods,standards Lipopolysaccharides Macrophages/metabolism Mice Oligonucleotide Array Sequence Analysis Reproducibility of Results Reverse Transcriptase Polymerase Chain Reaction/methods
Chemicals
DNA Probes Lipopolysaccharides
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Nagy Zsolt B
Laboratory of Functional Genomics, Biological Research Centre, Hungarian Academy of Sciences, P.O. Box 521, Szeged H-6701, Hungary.
Kelemen János Z
Fehér Liliána Z
Zvara Agnes
Juhász Kata
Puskás László G
Article Info
Journal
Analytical biochemistry
Abbr.
Anal Biochem
ISSN
0003-2697
Published
2005-02-01
Pages
76-83
Language
English
Region
United States
NLM ID
0370535
Subset
IM
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