The proposed query tool will provide researchers with a much needed device to explore the rich resources of vast microarray databases available.
Additional studies employing larger microarray databases available nowadays should confirm the view that the role of BMP4 and BMP7 in glioma differs from that of BMP2.
Gene chip analysis was performed with Microarray Analysis Suite version 5.0, Data Mining Tool 2.0, and Microarray database software (available at: http://www.affymetrix.com).
The proposed method, when applied to a publicly available microarray database from cervix cancer, identified genes already reported as relevant for different cancer types or cellular processes related to cancer.
However, in silico analysis of publicly-available microarray database shows OsClpC3 expression in stem, culm and leaf tissues.
Given the functional connection between SSEA4 and ST3GAL2, we evaluated the clinical value of ST3GAL2 in a large, publicly available clinical microarray database of breast tumors from 2977 patients [ 15].
The expression data for AtNCX4 (At1g55720) was not available in the microarray database and hence could not be included in expression analysis under different stresses.
DR4 expression levels were not available in our microarray database.
Microarray image files were analysed with GenePix Pro 4.1 (Molecular Devices, Sunnyvale, CA, USA) and loaded into the UNC-CH Microarray Database (https://genome.unc.edu/), and are available in the Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) under the series numbers GSE8465.
Therefore, to look for independent evidence of MEIS1 function within ABCB1 context, we turned to our recently published database of drug sensitivity for a panel of cancer cell lines [ 39] and the publicly available Broad Institute Cancer Cell Line Encyclopedia (CCLE) microarray database [ 40].
