The Utilization And Mining Of Bioinformational Data In Microarray Technology

Through two individual microarray studies, the utilization and data mining in microarray technology were discussed in this thesis. In former Fusarium oxysporum microarray research, the basic process of bioinformatical data mining was described. Through latter designing, synthesis and analysis of gyrB and mismatch probe microarrays, the utilization and data mining were deeply discussed.Firstly, from 6448 expressed sequence tags (ESTs) from a cDNA library representing Fusarium oxysporum f. sp. cucumerinum transcripts, and assembled them to 3372 tentative unique transcripts (TUTs). Then a cDNA array with 3158 of the TUTs was produced to analyze the gene expression profiles in conidial development processes. Many ribosomal protein genes were highly redundant in our library and some of them fluctuated across development. A clock-controlled signaling gene (ccg) showed increased expression across developmental stages following conidial germination, while the signaling gene ras was expressed at higher levels in mycelia than in earlier two stages. These findings suggest that the main function of ras-related genes is to regulate hyphal growth. Furthermore, it is plausible that ras and other signaling genes, such as ccg, may initiate the conidial germination stages cooperatively by increasing protein synthesis.Besides, in construction of microbiology functional gene array (FGA), we designed gyrB oligo probes (50nt) after collecting and assembling gyrB sequences and all information was shared through internet. Meanwhile, in research of mismatch probe microarray, we constructed the modified nearest neighbor model to analyze data from mismatch probes and offer a method to further design mismatch probes which can be used to improve the specificity and sensitivity of FGA.