WBPaper00005124:progesterone_10-5M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-05M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:cholesterol_10-9M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-09M of cholesterol . The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:progesterone_10-9M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-09M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:progesterone_10-7M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-07M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:testosterone_10-9M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-09M of testosterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:estrogen_10-5M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-05M of estrogen. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00049311:AgNO3_regulated

Data were screened for differences of each treatment (Ag-MNP, sAg-MNP, and AgNO3) from control using one-way ANOVA with contrasts. The false discovery rate (FDR) threshold was set at 0.2 and the fold change was required to be greater than 1.5, and a P-value <= 0.05. The FDR of 0.2 was selected to balance the protection against false positives while minimizing the rate of false negatives. Using Partek, genes that were significantly different from control in at least one treatment were then analyzed using agglomerative hierarchical cluster analysis (HCA). HCA is a 2-Pass clustering method; the first pass is a K-means clustering and in the second pass the K-means clusters are joined by agglomerative clustering. Transcripts that showed significantly altered expression after 48 hour exposure to AgNO3.

WBPaper00049311:sAg-MNP_regulated

Data were screened for differences of each treatment (Ag-MNP, sAg-MNP, and AgNO3) from control using one-way ANOVA with contrasts. The false discovery rate (FDR) threshold was set at 0.2 and the fold change was required to be greater than 1.5, and a P-value <= 0.05. The FDR of 0.2 was selected to balance the protection against false positives while minimizing the rate of false negatives. Using Partek, genes that were significantly different from control in at least one treatment were then analyzed using agglomerative hierarchical cluster analysis (HCA). HCA is a 2-Pass clustering method; the first pass is a K-means clustering and in the second pass the K-means clusters are joined by agglomerative clustering. Transcripts that showed significantly altered expression after 48 hour exposure to sAg-MNP.

WBPaper00049311:Ag-MNP_regulated

Data were screened for differences of each treatment (Ag-MNP, sAg-MNP, and AgNO3) from control using one-way ANOVA with contrasts. The false discovery rate (FDR) threshold was set at 0.2 and the fold change was required to be greater than 1.5, and a P-value <= 0.05. The FDR of 0.2 was selected to balance the protection against false positives while minimizing the rate of false negatives. Using Partek, genes that were significantly different from control in at least one treatment were then analyzed using agglomerative hierarchical cluster analysis (HCA). HCA is a 2-Pass clustering method; the first pass is a K-means clustering and in the second pass the K-means clusters are joined by agglomerative clustering. Transcripts that showed significantly altered expression after 48 hour exposure to Ag-MNP.

WBPaper00053092:procyanidins_downregulated

For each probe, Fisher's least significant difference was tested to statistically compare the difference between the means of the groups' expression measurements. A false-discovery-rate of <= 0.05 was used as a threshold for significance. Only genes with a fold-change > 2.0 were regarded as significantly changed in expression. Genes that showed significantly decreased expression by C.mucronatum plant extract and fractions enriched in oligomeric procyanidins.