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Possibilities and advantages of the new oligonucleotide-based microarray approach for plant viral diagnosis are discussed.
Here we describe a PCR-product baseDNANA microarray approach for examination of genome-wide transcriptional changes that also reliably detects faint changes in gene transcription.
The cut-off for calling a gene present or absent was dependent upon the percentage of probes being hybridized with a high signal ratio, which we see as a limitation of the NimbleGen tiling microarray approach for comparative genome content analysis.
Another microarray approach for methylation pattern analysis is methylation-specific oligonucleotide (MSO) microarray [ 19, 20].
These data are fully consistent with previous work and support the validity of the microarray approach for identifying previously uncharacterised developmentally expressed genes.
Overall, the data presented in this study supported the value of the microarray approach for detecting genes differentially expressed among PBMC from lupus patients.
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A recent study reported a combined analysis of array CGH and cDNA microarray approaches for the MCF10A series cell lines [11].
The lessons we have learned in years of prognostic and predictive factor identification and implication need to be implemented in microarray approaches for the management of breast cancer.
We did not observe differential expression of these genes or any of the traditional iron-regulatory genes (such as Cybrd1, Slc11a2, Slc40a1, Heph, Trfr2, Hfe or Hamp) by the microarray approach, except for the transferrin receptor gene (Tfrc), which was down-regulated by iron in heart, skeletal muscle and liver.
Unlike microarrays, approaches for identifying differential expression in RNA-Seq data are in their early stages of development, particularly those that can process only one RNA-Seq replicate per condition (a situation that is, at least in the short-term, likely to arise frequently, given the current high cost of the approach).
As little is known about candidate genes for acid-base regulation in crustaceans, we chose to utilize a microarray approach to screen for previously unrecognized candidates.
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