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Rate-limiting steps in yeast protein translation

机译:酵母蛋白质翻译中的限速步骤

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Summary Deep sequencing now provides detailed snapshots of ribosome occupancy on mRNAs. We leverage these data to parameterize a computational model of translation, keeping track of every ribosome, tRNA, and mRNA molecule in a yeast cell. We determine the parameter regimes in which fast initiation or high codon bias in a transgene increases protein yield and infer the initiation rates of endogenous Saccharomyces cerevisiae genes, which vary by several orders of magnitude and correlate with 5′ mRNA folding energies. Our model recapitulates the previously reported 5′-to-3′ ramp of decreasing ribosome densities, although our analysis shows that this ramp is caused by rapid initiation of short genes rather than slow codons at the start of transcripts. We conclude that protein production in healthy yeast cells is typically limited by the availability of free ribosomes, whereas protein production under periods of stress can sometimes be rescued by reducing initiation or elongation rates.
机译:总结现在,深度测序提供了mRNA上核糖体占用的详细快照。我们利用这些数据来参数化翻译的计算模型,跟踪酵母细胞中的每个核糖体,tRNA和mRNA分子。我们确定了在转基因中快速启动或高密码子偏向性提高蛋白质产量并推断内源酿酒酵母基因的启动率的参数方案,内源性酿酒酵母基因的启动率变化几个数量级并与5'mRNA折叠能相关。我们的模型概括了先前报道的核糖体密度降低的5'到3'梯度,尽管我们的分析表明该梯度是由短基因的快速启动而不是转录本开始时的慢密码子引起的。我们得出的结论是,健康酵母细胞中的蛋白质生产通常受到游离核糖体可用性的限制,而在应激时期的蛋白质生产有时可以通过降低起始或延伸速率来挽救。

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