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The genes present on the microarray were also classified to allow identification of categories whose genes were over-represented compared to the genes present on the microarray.
Only 7 of the candidate sRNAs identified by microarray were also identified by the bioinformatic approach.
Most cases of activation or suppression of gene expression detected by microarray were also observed by RT-PCR, although the degree of the response was different for some genes (Supplementary Figure S2).
In addition, 8 candidate genes not present on the microarray were also measured by qRT-PCR.
Finally, few transcripts that did not show significant differences in expression levels with the microarray were also selected for qPCR.
Reverse transcriptase polymerase chain reaction confirmed that several genes selected by DNA microarray were also overexpressed in clinical samples of malignant ascites.
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To find that the replication has been performed successfully, the released polymer microarray was also examined with SEM and surface profiler.
Therefore, the microarray was also used to explore expression of senescence-associated genes as related to the passage number of the parasite.
Microarray was also applied in this study [70], and pregnant ICR mice were administrated with anatase TiO2 NPs.
The Virochip microarray was also analyzed using Z-score analysis and E-Predict, an automated method for viral species identification in microarrays [7], [35].
Third, probe design in the microarray is also problematic.
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