News Release

GEN highlights increasing use of digital gene expression profiling

Peer-Reviewed Publication

Mary Ann Liebert, Inc./Genetic Engineering News

New Rochelle, NY, April 3, 2009—A novel technique for carrying out gene-expression profiling is set to challenge the market dominance of the current, widely used methodology, reports Genetic Engineering & Biotechnology News (GEN). Some scientists believe that digital gene-expression profiling, a fully quantitative approach for gene-expression analysis, will eventually rival microarrays in this application area, according to the April 1 issue of GEN (http://www.genengnews.com/articles/chitem.aspx?aid=2844).

"Digital gene expression technologies are certainly catching the attention of the life science research community," says John Sterling, Editor in Chief of GEN. "The approach looks to be especially appealing to those working in the area of transcriptomics.

A group of Dutch researchers compared deep sequencing-based gene-expression analysis using the Illumina whole genome sequencer to five microarray-based platforms. They concluded that deep sequencing provides a major advance in robustness, comparability, and richness of expression profiling data. The scientists predict that with the continuously increasing number of reads at reduced costs, RNASeq, a.k.a. whole transcriptome shotgun sequencing, will become affordable for standard differential gene-expression analysis.

DNAStar recently introduced QSeq, the first product to use the company's disk sort alignment algorithm for quantitative RNASeq applications and digital gene-expression experiments. DNAStar officials view RNASeq as being is in the validation stage.

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Other companies discussed in the GEN article include CLC, GenXPro, Helicos Biosciences, Life Technologies, and NanoString.

For a copy of the April 1 issue of GEN, please call (914) 740-2122, or email: ebicovny@liebertpub.com

Genetic Engineering & Biotechnology News (www.genengnews.com), which is published 21 times a year by Mary Ann Liebert, Inc., is the most widely read biotechnology news magazine worldwide. It includes articles on Drug Discovery, Bioprocessing, OMICS, Biobusiness, and Clinical Research and Diagnostics.


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