Transcriptomes for different level of glucose
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9217
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To characterize gene expression that is dependent on the strength of calorie restriction (CR), we 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, we 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. We collected and characterized 160 genes that responded to CR strength based on the rigorous statistical analyses of multiple test corrected ANOVA (adjusted é value < 0.1 or raw é value < 0.0031) and Pearson correlation (|r| > 0.7). Based on the individual gene studies and the GO Term Finder analysis of 160 genes, we found that CR dosedependently and gradually increased mitochondrial function at the transcriptional level. Therefore, we 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. Different glucose levels: 2%, 1%, 0.5%, and 0.25% Three biological replicates in each level
为了表征依赖于卡路里限制(calorie restriction, CR)强度的基因表达模式,我们针对作为出芽酵母主要能量与碳源的葡萄糖设置不同浓度梯度,获取了对应的转录组数据。为了在酵母培养体系中精准模拟哺乳动物的卡路里限制,我们先将种子酵母细胞接种于新鲜2% YPD培养基中进行复苏培养,随后分别转接至2%、1%、0.5%及0.25% YPD培养基中,以模拟不同强度的卡路里限制。通过对多重检验校正后的方差分析(analysis of variance, ANOVA)(校正后p值<0.1或原始p值<0.0031)与皮尔逊相关分析(|r|>0.7)开展严格统计学检验,我们最终筛选并鉴定出160个响应卡路里限制强度的基因。基于单基因研究及针对这160个基因的基因本体(Gene Ontology, GO)术语查找器(GO Term Finder)分析,我们发现卡路里限制可在转录层面呈剂量依赖性逐步提升线粒体功能。据此我们认为,这160个基因可作为响应卡路里限制强度的标志物,有助于阐明卡路里限制的作用机制,尤其是更强强度的卡路里限制如何更有效地延长寿命这一科学问题。不同葡萄糖浓度梯度:2%、1%、0.5%及0.25%;每组设置3次生物学重复
创建时间:
2017-02-21



