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Also other tumours of endocrine origin in our microarray database showed this kind of down-regulation (thyroid, breast, fallopian tube, cervix, and prostate).
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However, in silico analysis of publicly-available microarray database shows OsClpC3 expression in stem, culm and leaf tissues.
In silico analysis of a prostate cancer progression microarray publically available in the Oncomine database showed that both EPHB4 and ITGB8 are highly expressed in prostatic intraepithelial neoplasia, the precursor to prostate cancer.
Comparison of the gene transcripts correlated with sucrose levels with previous microarray experiments and online databases showed that 44 of the 129 genes had previously been identified as sucrose-responsive [ 36, 53- 56].
Comparison of our data to microarray results, both ours and those in the public databases, showed RNA-seq to have significant correlation with microarray for the subset of abundant protein-coding RNAs.
Rhodes, D. R. et al. ONCOMINE: a cancer microarray database and integrated data-mining platform.
Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D et al. ONCOMINE: a cancer microarray database and integrated data-mining platform.
To investigate PD-L1 expression in NSCLCs of other cohorts, a cancer microarray database Oncomine (www.oncomine.org) was applied.
A well-designed microarray database can provide valuable information on gene expression levels.
However, designing an efficient microarray database with minimum space usage is not an easy task since designers need to integrate the microarray data with the information of genes, probe annotation, and the descriptions of each microarray experiment.
Data were obtained from a microarray database (http://www.ricearray.org/expression/meta_analysis.shtml; accession number GSE21396; Cao et al. 2012).
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