Abstract
To meet growing needs for high throughput gene expression profiling, we established a new automated high throughput TaqMan RT-PCR method for quantitative mRNA expression analysis. In this method, the AllegroTM (Zymark) system conducts all sample tracking and liquid handling steps, and ABI PRISM® 7900 HT (Applied Biosystems) is used to conduct real-time determination of the Ct value when amplification of PCR products is first detected and accumulation of inhibitory PCR products is unlikely to occur. The ABI PRISM® 7900 HT Sequence Detection System features a real-time PCR instrument with 384- well-plate compatibility and robotic loading, and continuous wavelength detection, which enables the use of multiple fluorophores in a single reaction. The Allegro System offers an assembly line approach with a modular design that allows reconfiguration of the components to accommodate variations in the assay flow. In the present study, we have established and validated a new automated High Throughput (HT) TaqMan RT-PCRbased method for quantitative mRNA expression analysis. The data demonstrate that HT-Taqman PCR is a powerful tool that can be used for measuring low concentrations of mRNA, and is highly accurate, reproducible, and amenable to high throughput analysis. Results suggest that HT-TaqMan is a reliable method for the quantification of low-expression genes and a powerful tool with HT capability for target identification / validation, structure-activity relationship (SAR) study, compound selection for efficacy studies, and biomarker identification in drug discovery and development.
Keywords: taqman, allegro, rt-pcr, gene expression
Combinatorial Chemistry & High Throughput Screening
Title: Gene Expression Analysis for High Throughput Screening Applications
Volume: 7 Issue: 2
Author(s): Albert Pinhasov, Jay Mei, Dhammika Amaratunga, Frank A. Amato, Hong Lu, Jack Kauffman, Hong Xin, Douglas E. Brenneman, Dana L. Johnson, Patricia Andrade-Gordon and Sergey E. Ilyin
Affiliation:
Keywords: taqman, allegro, rt-pcr, gene expression
Abstract: To meet growing needs for high throughput gene expression profiling, we established a new automated high throughput TaqMan RT-PCR method for quantitative mRNA expression analysis. In this method, the AllegroTM (Zymark) system conducts all sample tracking and liquid handling steps, and ABI PRISM® 7900 HT (Applied Biosystems) is used to conduct real-time determination of the Ct value when amplification of PCR products is first detected and accumulation of inhibitory PCR products is unlikely to occur. The ABI PRISM® 7900 HT Sequence Detection System features a real-time PCR instrument with 384- well-plate compatibility and robotic loading, and continuous wavelength detection, which enables the use of multiple fluorophores in a single reaction. The Allegro System offers an assembly line approach with a modular design that allows reconfiguration of the components to accommodate variations in the assay flow. In the present study, we have established and validated a new automated High Throughput (HT) TaqMan RT-PCRbased method for quantitative mRNA expression analysis. The data demonstrate that HT-Taqman PCR is a powerful tool that can be used for measuring low concentrations of mRNA, and is highly accurate, reproducible, and amenable to high throughput analysis. Results suggest that HT-TaqMan is a reliable method for the quantification of low-expression genes and a powerful tool with HT capability for target identification / validation, structure-activity relationship (SAR) study, compound selection for efficacy studies, and biomarker identification in drug discovery and development.
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Cite this article as:
Pinhasov Albert, Mei Jay, Amaratunga Dhammika, Amato A. Frank, Lu Hong, Kauffman Jack, Xin Hong, Brenneman E. Douglas, Johnson L. Dana, Andrade-Gordon Patricia and Ilyin E. Sergey, Gene Expression Analysis for High Throughput Screening Applications, Combinatorial Chemistry & High Throughput Screening 2004; 7 (2) . https://dx.doi.org/10.2174/138620704773120810
DOI https://dx.doi.org/10.2174/138620704773120810 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
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