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a As determined by the DNA microarray experiments (this study).
For a small number of microarray experiments, this may always not be the case.
In conclusion: Although various studies have compared disease-related microarray experiments, this analysis constitutes the first systematic comparison of large-scale microarray data sets of normal human tissues.
Although numerous statistical tools are available in the public domain for the analysis of microarray experiments, this is not the case for qPCR.
Although no significant changes in the expression of penicillin biosynthetic genes were detected in the microarray experiments, this may have been due to the fact that the growth medium was not optimal for penicillin production.
Dye bias is a contributing factor to technical variation seen between replicas in microarray experiments; this is the appearance of consistently brighter signals for individual targets in either the green or red channel when there are no differences in expression between the two.
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Consistent with the microarray experiment, this analysis failed to detect significant changes in the expression of these genes.
http://www.mged.org/Workgroups/MAGE/mage.html MIAME (Minimum Information About a Microarray Experiment) This page of the MGED Society website describes MIAME principles and requirements, and lists links to relevant tools and news.
The fold change detected in the qRT-PCR experiment was much greater than that in the microarray experiment; for miR-222 (4.8-fold increase [GK/BN] in adipose tissue compared with a 2.4-fold change in the microarray experiment), this may reflect the higher sensitivity and larger dynamic range of quantitative RT-PCR, and has been observed in other studies [ 32].
All microarray experiments in this study are available from the TAIR database (https://www.arabidopsis.org/servlets/Search?type=expr&search_action=new_search) (Submission Number(s): ME00325, ME00338, ME00328, and ME00339).
All microarray experiments in this study were done in accordance with MIAME guidelines and the gene expression data sets presented have been deposited in the GEO database (GEO series entry GSE16485).
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