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Characterization And Genetic Manipulation Of Ergot Pathway Inefficiency In Fungi, Prashanthi Mulinti
Characterization And Genetic Manipulation Of Ergot Pathway Inefficiency In Fungi, Prashanthi Mulinti
Graduate Theses, Dissertations, and Problem Reports
Ergot alkaloids are mycotoxins that negatively affect humans and animals but also have useful pharmaceutical properties. Ergot alkaloids have been extensively studied in Claviceps purpurea, and also have been reported in other fungi, such as certain Penicillium spp., Aspergillus fumigatus, and several Neotyphodium spp. that are endophytes of grasses. There is a high degree of variation in the production of ergot alkaloids within an individual species and among producers from different taxa, which means different fungi accumulate different profiles of ergot alkaloids rather than a single pathway end product. These varied profiles result, in part, from inefficiency in the pathway …
Functional Analysis And Post-Transcriptional Regulation Of Oocyte-Specific Transcription Factors During Early Embryogenesis In Cattle, Swamy Krishna Tripurani
Functional Analysis And Post-Transcriptional Regulation Of Oocyte-Specific Transcription Factors During Early Embryogenesis In Cattle, Swamy Krishna Tripurani
Graduate Theses, Dissertations, and Problem Reports
Newborn ovary homeobox (NOBOX) is an oocyte-specific transcription factor essential for folliculogenesis and expression of many germ-cell specific genes in mice. However, the temporal and cell specific expression of NOBOX in bovine oocytes and potential function and regulation of NOBOX in early embryogenesis have not been described previously. Messenger RNA for bovine NOBOX is preferentially expressed in ovaries and undetectable by RT-PCR in somatic tissues examined. NOBOX protein is present in oocytes throughout folliculogenesis and is stage-specifically expressed during oocyte maturation and early embryonic development. Depletion of NOBOX in early embryos demonstrated that NOBOX is an essential maternal derived transcription …
Computational Hybrid Systems For Identifying Prognostic Gene Markers Of Lung Cancer, Ying-Wooi Wan
Computational Hybrid Systems For Identifying Prognostic Gene Markers Of Lung Cancer, Ying-Wooi Wan
Graduate Theses, Dissertations, and Problem Reports
Lung cancer is the most fatal cancer around the world. Current lung cancer prognosis and treatment is based on tumor stage population statistics and could not reliably assess the risk for developing recurrence in individual patients. Biomarkers enable treatment options to be tailored to individual patients based on their tumor molecular characteristics. To date, there is no clinically applied molecular prognostic model for lung cancer. Statistics and feature selection methods identify gene candidates by ranking the association between gene expression and disease outcome, but do not account for the interactions among genes. Computational network methods could model interactions, but have …