Literature DB >> 15649378

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

Zsolt B Nagy1, János Z Kelemen, Liliána Z Fehér, Agnes Zvara, Kata Juhász, László G Puskás.   

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.

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Year:  2005        PMID: 15649378     DOI: 10.1016/j.ab.2004.09.044

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  10 in total

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2.  Single molecule transcription profiling with AFM.

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3.  Identifying single-cell molecular programs by stochastic profiling.

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Journal:  World J Gastroenterol       Date:  2007-09-07       Impact factor: 5.742

5.  Stochastic profiling of transcriptional regulatory heterogeneities in tissues, tumors and cultured cells.

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Journal:  Nat Protoc       Date:  2013-01-10       Impact factor: 13.491

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8.  Amplification biases: possible differences among deviating gene expressions.

Authors:  Séverine A Degrelle; Christelle Hennequet-Antier; Hélène Chiapello; Karine Piot-Kaminski; Francois Piumi; Stéphane Robin; Jean-Paul Renard; Isabelle Hue
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Review 9.  Options available for profiling small samples: a review of sample amplification technology when combined with microarray profiling.

Authors:  Vigdis Nygaard; Eivind Hovig
Journal:  Nucleic Acids Res       Date:  2006-02-09       Impact factor: 16.971

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  10 in total

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