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    Anti-aging transcriptional response according to strength of Glucose level in Saccharomyses cerevisiae = 글루코오스 농도에 따른 효모 유전체 전사 조절을 통한 노화 제어 기전 연구

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    https://www.riss.kr/link?id=T11294261

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    To characterize gene expression that is dependent on the strength of calorie restriction (CR), I obtained transcriptome at different levels of glucose, which is a major energy and carbon source for budding yeast. To faithfully mimic mammalian CR in yeast culture, I reconstituted and grew seeding yeast cells in fresh 2% YPD media before inoculating into 2%, 1%, 0.5% and 0.25% YPD media to reflect different CR strengths. I collected and characterized 160 genes that responded to CR strength based on the rigorous statistical analyses of multiple test corrected ANOVA (adjusted p value < 0.1 or raw p value < 0.0031) and Pearson correlation (|r| > 0.7). Based on the individual gene studies and the GO Term Finder analysis of 160 genes, I found that CR dose-dependently and gradually increased mitochondrial function at the transcriptional level. Therefore, I suggest these 160 genes are markers that respond to CR strength and that might be useful in elucidating CR mechanisms, especially how stronger CR extends life span more.
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    To characterize gene expression that is dependent on the strength of calorie restriction (CR), I obtained transcriptome at different levels of glucose, which is a major energy and carbon source for budding yeast. To faithfully mimic mammalian CR in ye...

    To characterize gene expression that is dependent on the strength of calorie restriction (CR), I obtained transcriptome at different levels of glucose, which is a major energy and carbon source for budding yeast. To faithfully mimic mammalian CR in yeast culture, I reconstituted and grew seeding yeast cells in fresh 2% YPD media before inoculating into 2%, 1%, 0.5% and 0.25% YPD media to reflect different CR strengths. I collected and characterized 160 genes that responded to CR strength based on the rigorous statistical analyses of multiple test corrected ANOVA (adjusted p value < 0.1 or raw p value < 0.0031) and Pearson correlation (|r| > 0.7). Based on the individual gene studies and the GO Term Finder analysis of 160 genes, I found that CR dose-dependently and gradually increased mitochondrial function at the transcriptional level. Therefore, I suggest these 160 genes are markers that respond to CR strength and that might be useful in elucidating CR mechanisms, especially how stronger CR extends life span more.

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