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Correlation of mRNA Expression and Protein Abundance Affected by Multiple Sequence Features Related to Translational Efficiency in Desulfovibrio vulgaris: A Quantitative Analysis

机译:与寻常脱硫弧菌翻译效率相关的多个序列特征影响的mRNA表达和蛋白丰度的相关性:定量分析

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摘要

The modest correlation between mRNA expression and protein abundance in large-scale data sets is explained in part by experimental challenges, such as technological limitations, and in part by fundamental biological factors in the transcription and translation processes. Among various factors affecting the mRNA–protein correlation, the roles of biological factors related to translation are poorly understood. In this study, using experimental mRNA expression and protein abundance data collected from Desulfovibrio vulgaris by DNA microarray and liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) proteomic analysis, we quantitatively examined the effects of several translational-efficiency-related sequence features on mRNA–protein correlation. Three classes of sequence features were investigated according to different translational stages: (i) initiation, Shine–Dalgarno sequences, start codon identity, and start codon context; (ii) elongation, codon usage and amino acid usage; and (iii) termination, stop codon identity and stop codon context. Surprisingly, although it is widely accepted that translation initiation is the rate-limiting step for translation, our results showed that the mRNA–protein correlation was affected the most by the features at elongation stages, i.e., codon usage and amino acid composition (5.3–15.7% and 5.8–11.9% of the total variation of mRNA–protein correlation, respectively), followed by stop codon context and the Shine–Dalgarno sequence (3.7–5.1% and 1.9–3.8%, respectively). Taken together, all sequence features contributed to 15.2–26.2% of the total variation of mRNA–protein correlation. This study provides the first comprehensive quantitative analysis of the mRNA–protein correlation in bacterial D. vulgaris and adds new insights into the relative importance of various sequence features in prokaryotic protein translation.
机译:在大规模数据集中,mRNA表达与蛋白质丰度之间的适度相关性部分是由实验挑战(例如技术局限性)引起的,部分是由转录和翻译过程中的基本生物学因素引起的。在影响mRNA与蛋白质相关性的各种因素中,与翻译有关的生物学因素的作用知之甚少。在这项研究中,使用通过DNA芯片和液相色谱-串联质谱(LC-MS / MS)蛋白质组学分析从寻常脱硫弧菌中获得的实验性mRNA表达和蛋白质丰度数据,我们定量检查了几种翻译效率相关序列的影响蛋白质相关性的特征。根据不同的翻译阶段,研究了三类序列特征:(i)起始,Shine–Dalgarno序列,起始密码子同一性和起始密码子上下文; (ii)延伸率,密码子使用和氨基酸使用; (iii)终止,终止密码子身份和终止密码子上下文。令人惊讶的是,尽管人们普遍认为翻译起始是翻译的限速步骤,但我们的结果表明,mRNA-蛋白质的相关性受延伸阶段特征的影响最大,例如密码子使用和氨基酸组成(5.3– mRNA-蛋白质相关性总变异的比例分别为15.7%和5.8-11.9%,其次是终止密码子上下文和Shine-Dalgarno序列(分别为3.7-5.1%和1.9-3.8%)。综上所述,所有序列特征均占mRNA-蛋白质相关性总变化的15.2-26.2%。这项研究提供了细菌寻常小球藻中mRNA与蛋白质相关性的首次全面定量分析,并为原核蛋白质翻译中各种序列特征的相对重要性提供了新的见解。

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