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To confirm the differentially expressed genes obtained from the microarray expression profile, 15 genes were analyzed by quantitative real-time PCR (qRT-PCR) using the Bio-Rad CFX96 system.
Microarray expression profile data and quantitative PCR revealed that 15 representative genes were associated with emodin treatment response in hepatoma cell lines.
The results showed agreement between the microarray expression profile and quantitative RT-PCR data (Fig. 6F).
The microarray expression profile for these genes showed that their expression profile is significantly different (q<2.0) in at least one of the three mib alleles.
Similar differential gene expression levels were observed among all the genes (VWA5A, EGR2, RNF144A, KLF15, and HMMR) which are similar to the microarray expression profile (Figure 8).
In the case of Ihh, the microarray expression profile demonstrated highest expression in zone II with lower expression patterns in both zones I and III.
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The microarray expression profiles were searched, looking for DOs that were expressed at high levels in particular conditions.
In general, proteins over-expressed in cancer cells may be identified using DNA microarray expression profiling.
In conclusion, microarray expression profiling was used to investigate the mature anther preferentially expressed genes in rice.
Microarray expression profiles of 476 neuroblastoma specimens were generated and genes differentially expressed between favorable and unfavorable neuroblastoma were identified.
Microarray expression profiling using Affymetrix GeneChip Human Genome U133A 2.0 Arrays revealed that 421 genes are differentially expressed in DBA patient fibroblasts.
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