<p>Expression levels of 26 randomly selected genes in the four samples used in this study were detected by RT-qPCR. Heat map (left) was constructed using mean values of expression levels derived from three biological replicates. Normalized RPKM values of RNA-seq results are shown (centre). For each gene, the maximum expression in a certain sample was set to 100, and relative expression levels in the other samples were calculated according to this maximum level. Relative expression is shown by colour scales as indicated on right. R represents the correlation coefficient value between the two platforms.</p
<p>In total, five genes including XIST (lincRNA) were selected for real time data validation. Relati...
<p>Results of qPCR were presented in histograms, and results of RNA-Seq were listed in the embedded ...
<p>Comparison between RNA-Seq and RT-qPCR across 170 human and 174 mouse genes from a Calu-6 human x...
Five genes were selected to verify RNA-Seq results using qRT-PCR. Graphs on the left (A, C, E, G, I,...
<p>Twenty genes were chosen for RT-qPCR validation. The white and black bars represent the relative ...
<p>Validation of the expression profile between RNA-Seq and RT-qPCR for selected genes.</p
Plot of gene expression log2 ratios (LA vs BP, LA vs BM and BP vs BM) determined by the RNA-Seq (X-a...
<p>Twenty-two genes were arbitrary selected, from highly up-regulated to highly down-regulated conti...
<p>Bar plots of Log2ChangeFold of the subset of genes chosen to validate the RNASeq (red) pattern of...
<p>The expression profiles of 10 UP and 10 DOWN contigs (randomly selected) were analysed by qPCR to...
<p>Data from qPCR are shown as means ± standard error (SE) of three replicates. RPKM from RNA-seq ar...
<p>Note: The validation of the accuracy of RNA-seq data was carried out by comparing of RPKM and the...
<p>Fold changes were calculated for 42 DEGs and a high correlation (R<sup>2</sup> > 0.93) was observ...
<p>Differential expression of twenty genes was analyzed by RT-qPCR and calculated log<sub>2</sub> fo...
<p>Twenty-five genes that whose expression was significantly different in the control and treatment ...
<p>In total, five genes including XIST (lincRNA) were selected for real time data validation. Relati...
<p>Results of qPCR were presented in histograms, and results of RNA-Seq were listed in the embedded ...
<p>Comparison between RNA-Seq and RT-qPCR across 170 human and 174 mouse genes from a Calu-6 human x...
Five genes were selected to verify RNA-Seq results using qRT-PCR. Graphs on the left (A, C, E, G, I,...
<p>Twenty genes were chosen for RT-qPCR validation. The white and black bars represent the relative ...
<p>Validation of the expression profile between RNA-Seq and RT-qPCR for selected genes.</p
Plot of gene expression log2 ratios (LA vs BP, LA vs BM and BP vs BM) determined by the RNA-Seq (X-a...
<p>Twenty-two genes were arbitrary selected, from highly up-regulated to highly down-regulated conti...
<p>Bar plots of Log2ChangeFold of the subset of genes chosen to validate the RNASeq (red) pattern of...
<p>The expression profiles of 10 UP and 10 DOWN contigs (randomly selected) were analysed by qPCR to...
<p>Data from qPCR are shown as means ± standard error (SE) of three replicates. RPKM from RNA-seq ar...
<p>Note: The validation of the accuracy of RNA-seq data was carried out by comparing of RPKM and the...
<p>Fold changes were calculated for 42 DEGs and a high correlation (R<sup>2</sup> > 0.93) was observ...
<p>Differential expression of twenty genes was analyzed by RT-qPCR and calculated log<sub>2</sub> fo...
<p>Twenty-five genes that whose expression was significantly different in the control and treatment ...
<p>In total, five genes including XIST (lincRNA) were selected for real time data validation. Relati...
<p>Results of qPCR were presented in histograms, and results of RNA-Seq were listed in the embedded ...
<p>Comparison between RNA-Seq and RT-qPCR across 170 human and 174 mouse genes from a Calu-6 human x...