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In this study, we applied rice microarray to monitor the rhythmically expressed genes in rice seedling and flag leaves.
In citrus, the first transcript profiling data was reported by Shimada et al., [ 12] who constructed a cDNA microarray to monitor expression of mRNA during fruit development.
These authors used the 16 k Medicago microarray to monitor changes in the transcriptome of desiccation-sensitive 3-mm-long radicles at different time points during incubation in a polyethylene glycol (PEG) solution mimicking the effects of desiccation.
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To distinguish biological molecular processes of osmotic stress occurring in inner medulla, we utilized microarrays to monitor expression profiles.
These robust tools comprise new oligonucleotide DNA microarrays to monitor the transcriptomic responses of all 3725 genes of Synechocystis, and the SVGMapping method and custom-made templates to represent the metabolic reprogramming for improved hydrogen production.
The ability of DNA microarrays to monitor gene expression simultaneously in a large-scale format is helping to usher in a post-genomic age, where simple constructs about the role of nature versus nurture are being replaced by a functional understanding of gene expression in living organisms.
Here we use whole-genome microarrays to monitor the transcriptional responses to Bd infection in the model frog species, Silurana (Xenopus) tropicalis, which is susceptible to chytridiomycosis.
In this study, we have used S. pombe genome-wide ORF-specific DNA microarrays to monitor DNA copy number increase in cells released from HU-block.
Here, we explore a novel approach which exploits the high capacity of DNA microarrays to monitor the expression of many T-cell receptor rearrangements in parallel.
We have used microarrays to monitor gene expression profiles in healthy TGR-1551 and Tendral plants and plants infected with WMV.
In this study, we used Affymetrix microarrays to monitor mRNA expression changes in an established fibrosarcoma cell line.
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