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These data have been deposited in the ArrayExpress microarray database of the European Bioinformatics Institute (http://www.ebi.ac.uk/arrayexpress/) with accession number E-MEXP-527).

To better understand this, we analyzed UGT1A expression levels from a microarray database of >200 CRC patient tumors.

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].

Following the recommendations of a previous study (Jeffares et al. 2008), we downloaded the "Stress Series" data related to the AtGenExpress Project from the microarray database of the Nottingham Arabidopsis Stock Center (http://arabidopsis.info/, last accessed October 9, 2011).

We assembled a microarray database of gene expression profiles of breast tumor biopsies from a multicenter meta-cohort of 701 breast tumor patients who received neoadjuvant chemotherapy (Table  1).

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Specific variation of LPA receptor expression was not found in DNA microarray databases of different stages and grades of breast cancers, suggesting that LPA receptors are more prone to control primary tumor progression of ovarian tumors than breast cancers [48].

We searched microarray databases of human tumors to assess Int6's role in breast cancer.

Published microarray databases of breast cancer tissues and breast carcinoma cell lines were analyzed for PrP mRNA and ER stress marker immunoglobulin heavy chain binding protein (BiP) levels.

Upon screening of our microarray database for c-Myc targets, we found that the transcripts of sixty-one genes including MYCBP, which were reported previously to be upregulated by c-Myc, were upregulated in α6+/MHCI+ cells.

Upon screening of our microarray database for TCF3 targets [ 46], we found that transcripts of twelve genes reported to be upregulated by TCF3 were more abundant in α6+/MHCI- cells and conversely transcripts of nine genes repressed by TCF3 were more abundant in α6+/MHCI+ cells (see Additional file 5).

Further accession of the microarray database to correlate our β2-m results to reported microarray data on MHC related molecules showed that both β2-m staining and mRNA data (highly) significantly correlated with mRNA data for MHC class I heavy chains and TAP1.

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