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Empowering microarrays in the regulatory setting

Article Abstract:

Emphasis is laid on methodologies that can describe altered gene expression and cellular protein profiles in terms of their early metabolic consequences and relate these to developing, establishing or regressing pathologies in humans. Drug companies are pursuing active R&D projects to develop reliable biomakers of efficiency and toxicity using various technologies, often supported by DNA microarray data.

Author: Woodcock, Janet, Casciano, Daniel A.
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2006
Biological markers

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Evaluation of DNA microarray results with quantitative gene expression platforms

Article Abstract:

The MicroArray Quality Consortium (MAQC) data set was used as the basis of a study that assessed the performance characteristics of three quantitative gene expression technologies. It was observed that the alternative quantitative gene expression platforms validated the MAQC microarray data thus supporting the use of microarray platforms for the quantitative characterization of gene expression.

Author: Lu Zhang, Canales, Roger D., Yuling Luo, Willey, James C., Austermiller, Bradley, Barbacioru, Catalin C., Boysen, Cecilie, Hunkapiller, Kathryn, Jensen, Roderick V., Knight, Charles R., Lee, Kathleen Y., Yunqing Ma, Maqsodi, Botoul, apallo, Adam, Peters, Elizabeth Herness, Poulter, Karen, Ruppel, Patricia L., Samaha, Raymond R., Leming, Shi, Wen Yang, Goodsaid, Federico M.
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2006

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Gene expression analysis goes digital

Article Abstract:

The high-throughput sequencing technology is used for transcriptome analysis. The differences between polony multiplex analysis of gene expression (PMAGE) and DNA microarray are discussed.

Author: Kinzler, Kenneth W., Velculescu, Victor E.
Publisher: Nature Publishing Co.
Publication Name: Nature Biotechnology
Subject: Business
ISSN: 1087-0156
Year: 2007
Technology application, Genetic research

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Subjects list: Research, United States, Gene expression, DNA microarrays
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