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This explanation does not rule out the possible technological limitations of the microarray technology, however, which can lead to false discoveries.
Education and lab experience are obvious assets for pursuing a career in microarray technology; however, a willingness to learn and the ability to change in this rapidly developing field are important qualities that help candidates get their foot in the door.
The microarray technology, however, has a few intrinsic limitations.
In the practical use of microarray technology, however, the reaction is typically stopped before equilibrium has been reached.
Many gene expression signatures were developed since the introduction of gene expression microarray technology, however, so far only in breast cancer two prognostic gene profiles are tested in large prospective trials (Bogaerts et al, 2006; Sparano, 2006; Wirapati et al, 2008; Weigelt et al, 2010).
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However, microarray technology has several limitations.
However, microarray technology relies on prior knowledge of the genes to be identified with the possibility of selection bias during creation of the cDNA array.
However, microarray technology suffers from well-known limitations including insufficient sensitivity for quantifying lower abundant transcripts, narrow dynamic range and non-specific hybridizations.
However, microarray technology has limited use in clinical scenarios due to the complexity of current bioinformatics tools 19 and the reproducibility, or lack thereof, of measured gene expression levels.
However, microarray technology, used as a tool for a high throughput expression analyses, has several limitations which might have interfered with a more productive contribution of this approach to the nomination of the candidate genes.
However, microarray technology is being superseded by genotyping by sequencing the whole or reduced components of the genome (Huang et al. 2009; Xie et al. 2010; Elshire et al. 2011; Davey et al. 2011; Poland et al. 2012).
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