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Full-Text Articles in Medicine and Health Sciences
Analysis Of Clock-Regulated Genes In Neurospora Reveals Widespread Posttranscriptional Control Of Metabolic Potential, Jennifer M. M. Hurley, Arko Dasgupta, Jillian M. Emerson, Xiaoying Zhou, Carol S. Ringelberg, Nicole Knabe
Analysis Of Clock-Regulated Genes In Neurospora Reveals Widespread Posttranscriptional Control Of Metabolic Potential, Jennifer M. M. Hurley, Arko Dasgupta, Jillian M. Emerson, Xiaoying Zhou, Carol S. Ringelberg, Nicole Knabe
Dartmouth Scholarship
Neurospora crassa has been for decades a principal model for filamentous fungal genetics and physiology as well as for understanding the mechanism of circadian clocks. Eukaryotic fungal and animal clocks comprise transcription-translation-based feedback loops that control rhythmic transcription of a substantial fraction of these transcriptomes, yielding the changes in protein abundance that mediate circadian regulation of physiology and metabolism: Understanding circadian control of gene expression is key to understanding eukaryotic, including fungal, physiology. Indeed, the isolation of clock-controlled genes (ccgs) was pioneered in Neurospora where circadian output begins with binding of the core circadian transcription factor WCC to a subset …
Predicting Targeted Drug Combinations Based On Pareto Optimal Patterns Of Coexpression Network Connectivity, Nadia M. Penrod, Casey S. Greene, Jason H. Moore
Predicting Targeted Drug Combinations Based On Pareto Optimal Patterns Of Coexpression Network Connectivity, Nadia M. Penrod, Casey S. Greene, Jason H. Moore
Dartmouth Scholarship
Molecularly targeted drugs promise a safer and more effective treatment modality than conventional chemotherapy for cancer patients. However, tumors are dynamic systems that readily adapt to these agents activating alternative survival pathways as they evolve resistant phenotypes. Combination therapies can overcome resistance but finding the optimal combinations efficiently presents a formidable challenge. Here we introduce a new paradigm for the design of combination therapy treatment strategies that exploits the tumor adaptive process to identify context-dependent essential genes as druggable targets. We have developed a framework to mine high-throughput transcriptomic data, based on differential coexpression and Pareto optimization, to investigate drug-induced …