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Microarray experiments involving heat, oxygen and osmotic downshift were performed in five replicates, while the blood exposure experiment was performed in quadruplicate.
The latter is problematic in microarray experiments involving a series of samples such as a time course study.
As with many microarray experiments involving cellular stress, we observed an immense degree of differential expression, which often complicates biological interpretation.
For example, microarray experiments involving pancreatic tumor tissue have had to discard the majority of the extracted RNA samples, due to the RNAse-rich content of the organ and the rapid degradation of the RNA material [ 48, 49].
This comparative study will be useful to scientists needing to choose an amplification method to carry out microarray experiments involving samples comprising only a few cells and generating picogram amounts of RNA.
Datasets from microarray experiments involving myocardial tissue were collected from GEO and used for creating a weighted gene coexpression network, where edges represent adjacencies between genes based on weighted Pearson correlation between gene expression profiles.
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The most efficient hybridization designs for two-colour microarray experiments involve combining samples in a staggered loop formation [ 15, 16].
Our microarray experiments involved sampling during induction of abscission and the beginning of a detectable increase in the rate of abscission rather than during the abscission process itself.
Microarray experiments involved two independent biological replicates for each time point and treatment with each replicate consisting of four or five plants to provide enough plant material for RNA isolation.
Using the distributional assumptions presented above, we simulated 1000 realizations of a microarray experiment involving 15 000 genes.
According to this microarray experiment involving IDC, the lower expression of RAF1 and MYC might correlate with the decreased expression of EGFR.
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