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These results were compared with microarray analysis patterns of genes expressed in human (Homo sapiens), cow (Bos taurus) and mouse (Mus musculus) mammary gland during pregnancy and lactation.
Following the original microarray analysis, patterns of some genes appeared to be changing at the latest time point (120 min), so extended time points were selected (12 and 24 h) to see a more complete expression profile for these genes.
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For 11 out of the 13 genes examined, we observed strong differential expression within the cortical domains corresponding to the pattern detected by microarray analysis (Figure 5).
Heat maps of genes from microarray analysis illustrate patterns of expression that are unaffected by the nutritional environment (Fig. 2C).
Through the transcriptome study of the disease-free human samples via microarray analysis, gross patterns of tissue-gene relationships have been observed by several teams [ 4- 7].
Oligonucleotide microarray analysis of expression patterns associated with alternatively spliced transcripts has often been used in studies of human disease but has not been widely applied in plants [10, 19, 31].
Microarray analysis yielded distinct patterns for 295 genes differentially expressed in at least one condition (differentially expressed genes, DEGs) (Figure 2; Dataset S1).
Comparison of the results from real-time RT-PCR with those from microarray analysis revealed similar patterns of expression.
In order to confirm results obtained by microarray analysis, the expression patterns of nine selected genes were also measured by reverse transcription (RT -PCR.
Microarray analysis has revealed patterns of changes in mRNA levels throughout the intra-erythrocytic developmental cycle (IDC) of this parasite [ 21, 22].
In this review we intended to overview information on myeloid miRNAs based on available microarray analysis investigating miRNA pattern of myeloid cells.
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