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Utilizing microarray spot characteristics to improve cross-species hybridization results.

Bar-Or C, Novikov E, Reiner A, Czosnek H, Koltai H

Department of Ornamental Horticulture, ARO Volcani Center, Bet Dagan 50250, Israel; The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agricultural, Food and Environmental Quality Sciences, The Hebrew University of Jerusalem, Rehovot, Israel.

Cross-species hybridization (CSH), i.e., the hybridization of a (target) species RNA to a DNA microarray that represents another (reference) species, is often used to study species diversity. However, filtration of CSH data has to be applied to extract valid information. We present a novel approach to filtering the CSH data, which utilizes spot characteristics (SCs) of image-quantification data from scanned spotted cDNA microarrays. Five SCs that were affected by sequence similarity between probe and target sequences were identified (designated as BS-SCs). Filtration by all five BS-SC thresholds demonstrated improved clustering for two of the three examined experiments, suggesting that BS-SCs may serve for filtration of data obtained by CSH, to improve the validity of the results. This CSH data-filtration approach could become a promising tool for studying a variety of species, especially when no genomic information is available for the target species.

Published 6 November 2007 in Genomics, 90(5): 636-645.
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Microarrays Books

Protein Arrays: Methods and Protocols (Methods in Molecular Biology)

Protein Arrays: Methods and Protocols (Methods in Molecular Biology)