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Indeed, studies using microarray tools demonstrated that there are much more upregulated than downregulated genes after exposure to a glucocorticoid.
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We have generated EST and microarray tools for D. ponderosae.
Our microarray data demonstrated a significant interaction between dietary fat and PCB exposure.
Oligonucleotide microarray analysis demonstrated that GPC3 is over-expressed in tissues harvested from smokers with lung adenocarcinoma [28].
Overlapping of the unique GWAS and microarray genes demonstrated that 13,905 genes were assessed in both GWAS and microarray analyses.
Since the first DNA microarray paper demonstrated that microarray technology can monitor multiple gene expression profile in 1995 [1], DNA microarray technology has been developed steadily.
Tissue microarray clearly demonstrated the differences between the groups.
We performed simulation studies based on known haplotypes and real microarray noise, demonstrating that this tool successfully inferred haplotypes and diplotypes from noisy microarray data, and that the tool even had an ability to correct total copy numbers and unphased genotypes that are wrongly determined due to noise.
The efficiency of developed microarrays was demonstrated using mouse IgG and goat anti-mouse IgG as a model affinity pair.
The adaption of data management and related tools to assemble the data, to check its quality, and to perform the low and high level analysis for a very large set of microarrays is demonstrated.
These results confirm the successful development of a Pinus microarray and demonstrate the utility of the microarray for transcriptomic research in Pinus radiata through heterologous hybridisation.
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