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Using microarray technology, several putative gene markers of lung AC have been intensely studied and evaluated in clinical trials, for example EGFR [ 13] and osteopontin (SPP1) [ 14].
With the assistance of high-throughput technology, such as microarray technology, several researchers have attempted to decipher the regulatory networks of bZIP TFs [ 4- 7].
This is not a comprehensive review of the current state of the art in DNA microarray technology; several exhaustive reviews are available on both the practical aspects of DNA microarrays and the analysis of data (Knudsen 2004; Schena 1999, 2003; Schulze and Downward 2001).
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The availability of the complete human genome and of the genome of several other organisms (NCBI 2005b) allows the application of microarray technology to several model organisms (from bacteria, to yeast, to fish) and mammalian cell lines.
However, microarray technology has several limitations.
MFS could benefit the clinical applications of microarray technology in several ways.
Here we report the first comparative analyses of multiple gene transcription data sets obtained in parallel with different microarray technologies over several popular normalisation methods using multiple cross-platform concordance criteria.
We also detail examples that apply microarray technology to address several of the main questions in stem cell biology.
To expand the use of microarray technology in toxicology, several national and international initiatives have been developed to better standardize and harmonize the technology.
In 2003, Scherer et al., in their genomics study using microarray technology, detected upregulation of several genes, which could predict the development of CAN.
Another study using microarray technology [ 18] found several hundred genes in A. caninum changed their expression during the worm's transition from a free living to a parasitic larva.
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