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Our microarray data demonstrated a significant interaction between dietary fat and PCB exposure.
The microarray data demonstrated that the dataset can be used for typical analyses, including principal component analysis (PCA) and differential gene expression analysis.
Using three statistical methods, microarray data demonstrated marked changes in the old mouse.
Microarray data demonstrated that ERB-041, MF101 and liquiritigenin were the most ERβ-selective agonists compared to estradiol, followed by nyasol and then diarylpropionitrile.
Analysis of the comparative microarray data demonstrated that strains with the same sequence type clustered together (Figure 2), demonstrating a strong correlation with our MLST analysis.
Thus, the microarray data demonstrated that Dlx1 (GeneID: 13390), Dlx2 and Lhx8 (also known as Lhx7) were preferentially expressed in the MdP and MxP (Figure 4A and B) in agreement with published WMISH results [25], [26].
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Furthermore, we present microarray data demonstrating that off-targeting is significantly minimized by using siRNAs that contain "safe" seeds, an important strategy to consider during preclinical development of RNAi-based therapeutics.
The results for the 12 MSC samples used for microarray analysis were in line with the microarray data demonstrating the reliability of the method (figure 3A).
Indeed, our real time RT-PCR microarray data demonstrate that a large number of GPCRs are expressed not only in undifferentiated ES cells but in differentiating ES cells in EBs as well.
Our microarray data demonstrate the down-regulation of Cyclin G1, SerpinB9, BIRC6, and NAIP with simultaneous up-regulation of p21WAF1, CASP10, CARD9, BCCIP, CARD6, BAX, BIK, FASTKD2, and TNF-family member levels in both cell types.
Based on previously published miRNA microarray data demonstrating differences in expression in human cancers compared to the corresponding normal tissue, two miRNAs were chosen in this study for such biological experiments.
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