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首页> 外文期刊>Journal of Molecular Biology >Multifactorial determinants of protein expression in prokaryotic open reading frames.
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Multifactorial determinants of protein expression in prokaryotic open reading frames.

机译:蛋白质在原核开放阅读框中表达的多因素决定因素。

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摘要

A quantitative description of the relationship between protein expression levels and open reading frame (ORF) nucleotide sequences is important for understanding natural systems, designing synthetic systems, and optimizing heterologous expression. Codon identity, mRNA secondary structure, and nucleotide composition within ORFs markedly influence expression levels. Bioinformatic analysis of ORF sequences in 816 bacterial genomes revealed that these features show distinct regional trends. To investigate their effects on protein expression, we designed 285 synthetic genes and determined corresponding expression levels in vitro using Escherichia coli extracts. We developed a mathematical function, parameterized using this synthetic gene data set, which enables computation of protein expression levels from ORF nucleotide sequences. In addition to its practical application in the design of heterologous expression systems, this equation provides mechanistic insight into the factors that control translation efficiency. We found that expression is strongly dependent on the presence of high AU content and low secondary structure in the ORF 5' region. Choice of high-frequency codons contributes to a lesser extent. The 3' terminal AU content makes modest, but detectable contributions. We present a model for the effect of these factors on the three phases of ribosomal function: initiation, elongation, and termination.
机译:蛋白质表达水平与开放阅读框(ORF)核苷酸序列之间关系的定量描述对于理解自然系统,设计合成系统和优化异源表达非常重要。 ORF中的密码子同一性,mRNA二级结构和核苷酸组成显着影响表达水平。对816个细菌基因组中ORF序列的生物信息学分析表明,这些特征显示出明显的区域趋势。为了研究它们对蛋白质表达的影响,我们设计了285个合成基因,并使用大肠杆菌提取物在体外确定了相应的表达水平。我们开发了使用此合成基因数据集进行参数化的数学函数,该函数可从ORF核苷酸序列计算蛋白质表达水平。除了在异源表达系统设计中的实际应用之外,该方程还提供了对控制翻译效率的因素的机械理解。我们发现表达强烈依赖于在ORF 5'区域中高AU含量和低二级结构的存在。高频密码子的选择贡献较小。 3'终端AU的内容做出了适度的但可检测的贡献。我们提出了这些因素对核糖体功能三个阶段的影响的模型:启动,延伸和终止。

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