Array-based hybridization and the serial anMys~s of gene expression (SAGE) are the most common approaches for highthroughput transcript anMysls. Each has advantages and disadvantages. The cDNA array a]i[ows rapid screening of a large number of samples but cannot detect unknown genes. ~n contrasL SAGE can detect those unknown genes or transcripts but is restricted to fewer samples. Combining these two methods could provide better highothroughput analysis that allows rapid screening of both prevlousiy known and unknown genes. For this, we have generated two cDNA microarrays (from human and plant systems) based on SAGE dMa. The results from both of these were anaHyzed for thei~ correlation and accuracy. One specialized cDNA mlcroarray, putatively named Gastrficchlp, was constructed with ~744 probes, h~ciuding 858 cDNA fragments based on SAGE data from gastr[ocancer tissues. The ,ether microarray, putMive[y named Cotdst~esschlp, was constructed with 1482 probes, including 1209 cDNA fragmen% based on SAGE dMa from cold-stressed Arabidopsls. In particular, identity of the genes on both sets of data is assured and hyb~idizMion for cDNA microarray is efficienL
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