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This overview of microarray technology, with emphasis on how it can inform genomics of preeclampsia, may provide concepts to improve future maternal-neonatal nursing care.
Here we report the development of the microarray TRAP (MTRAP) assay which combines advantages of microarray technology with a modified TRAP assay.
In concert with new linking chemistries and synthetic methods, the carbohydrate arrays combine the advantages of microarray technology with the flexibility and precision afforded by organic synthesis.
We are witnessing a rapid evolution of microarray technology with the potential for clinical application in diagnostics, therapeutic target identification, patient risk stratification, and pre-clinical toxicology and drug development.
By coupling the DNA microarray technology with bioinformatics tools, we aimed to elucidate the signaling pathway of shear-induced COX-2-dependent chondrocyte apoptosis.
We report here a miniaturized sandwich immunoassay platform (MSIP) for the detection of PPIs that combines antibody microarray technology with a traditional coIP.
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Herein, we review the most recent advancements in microarray technologies, with a special focus on peptide microarray, small molecule microarray, and protein microarray.
Applying microarray technologies with in rice, a model system, several research groups have conducted genome-wide transcriptome analyses and identified genes that are preferentially expressed in the pollen (Fujita et al. 2010; Deveshwar et al. 2011; Russell et al. 2012).
This assay offers increased throughput with decreased costs compared with existing microarray technologies, with the trade-off being in the total number of transcripts that can be analyzed.
Fortunately, with the advent and increased usage of nucleic acid amplification techniques and fluorescent in situ hybridisation, such alternate techniques are more readily available; moreover, coincidental use of microarray technologies with nucleic acid amplifications may allow for screening of thousands of genes (Farkas et al, 1996).
Recent advances in the study of global patterns of gene expression with the use of microarray technology, coupled with data analysis using sophisticated statistical algorithms, have provided new insights into pathogenic mechanisms of disease.
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