<p>A custom PCR array was used to validate the fold changes found in the original microarray experiment. At the 4 week time point, 6 of the 8 genes investigated reached statistical significance, indicating the increased severity of the phenotype at the earlier time point. Ddr1 was the most highly up-regulated gene found with the most statistically significant p-value, thus prompting further investigation of the possible relationship between Jag1 and Ddr1. (* = p≤0.05; ** = p≤0.01).</p
<p>The figure shows bar graphs presentation of the differential expression of the selected genes in ...
<p>Log ratio of microarray fold change expression of the selected 20 up and down regulated genes ass...
Microarray technology allows us to perform high-throughput screening of changes in gene expression. ...
<p>Data is expressed as fold expression changes of Pou5F1, MT1G, MAPK10, NOTCH1 and NES. Results are...
<p>Six genes were selected and their time-course expression profiles were evaluated by quantitative ...
<p>The fold change of the regulation of distinct genes (x-axis) identified by microarray analysis (b...
<p>Correlation plots indicating the relationship between qPCR results (fold change; Y- axis)) of six...
<p>(A) RT-PCR confirmation of Affymetrix array data on 31 selected up- or down-regulated genes. Log2...
Six genes were randomly selected, 3 from up-regulated, and 3 from down-regulated genes of the DEG li...
<p>*Fold-change values were determined after normalization to <i>Rps9</i> using the comparative thre...
<p>The confirmation of selected differentially regulated genes was achieved by quantitative real-tim...
<p>The <i>y</i> axis labeled “fold Change” is defined in the materials and methods section. Blank ba...
<p>(A) Quantitative real time PCR was used to quantify gene expression of selected genes from neutro...
<p>Fold change value is expressed as the expression ratio of Basque (B, n = 20) to Large White (LW, ...
<p>qRT-PCR log2 fold changes (−ΔΔCT) are shown for two markers A) <i>prCopia1</i> and B) <i>prCRN7</...
<p>The figure shows bar graphs presentation of the differential expression of the selected genes in ...
<p>Log ratio of microarray fold change expression of the selected 20 up and down regulated genes ass...
Microarray technology allows us to perform high-throughput screening of changes in gene expression. ...
<p>Data is expressed as fold expression changes of Pou5F1, MT1G, MAPK10, NOTCH1 and NES. Results are...
<p>Six genes were selected and their time-course expression profiles were evaluated by quantitative ...
<p>The fold change of the regulation of distinct genes (x-axis) identified by microarray analysis (b...
<p>Correlation plots indicating the relationship between qPCR results (fold change; Y- axis)) of six...
<p>(A) RT-PCR confirmation of Affymetrix array data on 31 selected up- or down-regulated genes. Log2...
Six genes were randomly selected, 3 from up-regulated, and 3 from down-regulated genes of the DEG li...
<p>*Fold-change values were determined after normalization to <i>Rps9</i> using the comparative thre...
<p>The confirmation of selected differentially regulated genes was achieved by quantitative real-tim...
<p>The <i>y</i> axis labeled “fold Change” is defined in the materials and methods section. Blank ba...
<p>(A) Quantitative real time PCR was used to quantify gene expression of selected genes from neutro...
<p>Fold change value is expressed as the expression ratio of Basque (B, n = 20) to Large White (LW, ...
<p>qRT-PCR log2 fold changes (−ΔΔCT) are shown for two markers A) <i>prCopia1</i> and B) <i>prCRN7</...
<p>The figure shows bar graphs presentation of the differential expression of the selected genes in ...
<p>Log ratio of microarray fold change expression of the selected 20 up and down regulated genes ass...
Microarray technology allows us to perform high-throughput screening of changes in gene expression. ...