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The goal of our study was to molecularly dissect mesothelioma tumour pathways by mean of microarray technologies in order to identify new tumour biomarkers that could be used as early diagnostic markers and possibly as specific molecular therapeutic targets.
CpG site-specific DNA methylation was measured in an exploratory genome-wide manner using microarray technologies in one study [ 29].
Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications.
The rapid development of microarray technologies in recent years has led to the possibility of acquiring a large spectrum of different molecular data types.
Nevertheless, the success of microarray technologies in classifying patients has held out the promise that this approach might be used as the basis for diagnostic assays [ 12], and the field seems to be approaching that point now.
We present a thorough analysis of the degree of reproducibility provided by analysing the transcriptomic profile of the same animals of several experimental groups under different popular microarray technologies in different tissues.
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We used microarray technology in a trophoblast cell line to identify hypoxia-responsive genes that may impact placentation.
To identify novel factors produced in the asthmatic airway, we analyzed sputum samples by using a membrane-based human cytokine microarray technology in patients with bronchial asthma (BA).
In this study, we assessed whether the current generation of microarray technology in combination with an in vitro experimental design was capable of generating robust, reproducible data of sufficient quality to show promise as a tool for regulatory risk assessment.
Besides the design and generation of microarrays as well as their use in hybridization experiments and subsequent data analysis, recent applications of DNA microarray technology in C. glutamicum including the characterization of ribose-specific gene expression and the valine stress response will be described.
Thus, we selected it to represent microarray technology in our analysis.
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