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Nowadays microarray technique has become an important and useful tool in functional genomics research.
However, to our knowledge, only one study, using the microarray technique has described the effect of L. major infection on the transcriptome of human MΦs [ 10].
The assessment of immunoreactivity for the certain protein in tumour buds using a multiple-punch tissue microarray technique has been reported (Dawson et al, 2014).
For example, an expression analysis based on microarray technique has demonstrated expression of at least 22,800 genes across the three embryonic stages, globular, heart and torpedo in Arabidopsis [ 25].
For instance, the cDNA microarray technique has been used in genome-wide expression studies to address basic questions about gene function and in the pursuit of a more precise molecular classification of tumors.
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At present time, large-scale gene expression profiling is still approached inadequately; both transcriptome sequencing and microarray technique have their own drawbacks.
Methods Coupling CpG-recognizing restriction enzymes with microarray technique have been reported, such as differential methylation hybridization (DMH) [ 19, 23], methylation amplification DNA chip (MAD) [ 22], and microarray-based integrated analysis of methylation by isoschizomers (MIAMI) [ 21].
In a previous study [ 21], the microarray technique had been used and to examine the therapeutic potential of a plasma jet on cancer cell lines and tumors, with a focus on the capability of selective tumor cell eradication and on deregulation of signaling pathways.
Furthermore, significant progress in microarray techniques has delivered data on complex expression profiles, including post-translational modifications like glycosylation and phosphorylation.
The use of DNA microarray techniques has made it possible for large-scale analysis of gene function and regulation to be conducted.
The introduction of microarray techniques has dramatic implications on cancer research, since it allows analysis of the expression of multiple genes in concert and helps find reliable clinical parameters for cancer occurrence.
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