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This analysis of the host-polydnavirus interactions by a microarray approach indicates that the presence of HdIV induces, directly or indirectly, variations in transcript levels of specific host genes, changes that could be responsible in part for the alterations observed in the parasitized host physiology.
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Global measurements of metabolic activity using the Phenotypic MicroArray approach indicated that deletion of claR led to complete abolishment of lactose utilization in IL1403Δ claR.
Although disease-causing genomic alterations are thought to be rare, recent work using high-resolution microarray approaches has indicated that genomic copy-number variation without immediate phenotypic consequences is widespread throughout the entire human genome.
This approach indicated a more "flexible" structure.
Importantly, and in contrast to the previous bioinformatic analysis, the previously described sRNAs PEL and FASX were both identified by the tiling microarray approach (Figure 1A and data not shown), indicating that this is a powerful tool with which to identify GAS sRNAs.
In the case of arcA and crtI1 the RT-PCR data even indicated a gene regulation although the DNA microarray approach did not.
Twice as many genes based on earlier studies showed differential expression as compared to RGAs, indicating usefulness of pre-selection and reliability of microarray approach.
We note that this is substantially higher than the SNP based copy number data which indicated a 2 fold increase at EGFR and may indicate higher dynamic range from the capture approach followed by sequencing than a microarray approach which has a limited dynamic range due to fluorophor measurement.
A whole genome microarray approach revealed to these investigators that a decreased expression of glutamate receptors such as AMPA1, AMPA2 and AMPA3 in demyelinating hippocampi, may indicate an alteration of glutamate homeostasis [ 108].
The microarray approach also resulted in cloning of DMAS genes from rice (OsDMAS1), barley (HvDMAS1), wheat (TaDMAS1), and maize (ZmDMAS1).
Possibilities and advantages of the new oligonucleotide-based microarray approach for plant viral diagnosis are discussed.
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