Microarray analysis defined 202 down-regulated and 27 up-regulated unique transcripts in starved fish (± 1.5-fold change, P < 0.05).
Recent studies using a microarray analysis defined gene-expression profiles of gastric adenocarcinoma (Hasegawa et al, 2002; Hippo et al, 2002).
Finally, microarray analysis defined several clusters of genes whose expression varied significantly between wild-type and mutant larvae, implicating peroxisomal function in neuronal development, innate immunity, lipid and protein metabolism, gamete formation, and meiosis.
Initial microarray analysis defined an expression signature of serum response in fibroblasts that, when applied to breast and other epithelial cancer data sets, seemed indicative of tumors exhibiting an active wound response [ 48].
Finally, microarray analysis defines several clusters of genes whose expression varies significantly between wild-type and Pex1-mutant larvae, and that implicate peroxisomal function as a requirement for normal neuronal development, innate immunity, lipid and protein metabolism, gamete formation, and meiosis.
In a previous comparative microarray analysis we defined a set of 361 genes that showed at least a 2-fold statistically significant alteration in HGPS compared to normal controls; extracellular matrix proteins and transcription factors were the most affected categories, with growth-arrest specific transcription factor MEOX2/GAX being the most significantly affected gene [ 5].
This prompted us to conduct a microarray analysis to define genes whose expression was triggered by CEsHUT and inhibited in the presence of HDL.
Cathelyn et al. used microarray analysis to define the RovA regulon in Y. pestis grown at 26°C in BHI, and their results revealed important regulatory roles of RovA in Y. pestis.
How the microarray analysis was defined as a complete analysis of miRNA and citations would enhance the manuscript.
The studies of Doyle et al. (2008) used the TRAP procedure, combined with microarray analysis, to define mouse genes with glial-enriched expression patterns.
