Here we provide a review of the microarray technology, including the introduction of array platforms, experimental designs, RNA isolation and amplification, array hybridization, and data analysis.
RNA-Seq studies have several advantages over microarray technology, including whole transcriptome analysis, better reproducibility, and a larger dynamic range of expression [ 8, 9].
With recent advances in microarray technology, including genomics, proteomics, and metabolomics, it brings a great challenge for integrating this "-omics" data to analysis complex disease.
While these two examples are yeast specific, other model organisms have also been used to study meiosis with microarray technology, including fruit flies (Drosophila melanogaster), mice (Mus musculus), nematodes (Caenorhabiditis elegans) and rats (Rattus rattus) [ 8- 11].
Recent advances in microarray technology including high density SNP (single nucleotide polymorphism) profiling have provided a novel approach to evaluate CNA across the genome of patient tissue specimens as a potential diagnostic tool for tumor classification.
Various human disorders that affect the SM tissue have been analyzed using microarray technology, including disuse atrophy [ 1], myositis [ 2, 3], Duchenne muscular dystrophy (DMD) [ 4- 6] and others [ 7- 9].
The advantages of DNA microarray technology include the ability to analyze expression patterns of thousands of genes simultaneously.
We describe here an HCV genotyping assay based on liquid microarray technology and including 16 hybridization probes specific for different HCV genotypes and subtypes and one set of primers for each of the two regions most frequently used for HCV detection and genotyping (5'UTR and NS5B).
Large-scale expression profiling technology including microarrays has been successfully used to achieve this goal [ 7, 15- 18].
High-throughput technology including hybrid capture 2 (HC2) and DNA microarray has been currently adopted to detect HPV [ 14].
Using microarray technology, three cytokines including transforming growth factor- β (TGF- β), interleukin-6 (IL-6), and macrophage inflammatory protein-1 β (MIP-1 β) had greater expression in Map-infected MDM at 16 h p.i. when compared with inactivated control macrophages [ 35].
