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蛋白质周转动力学,蛋白质组学中缺失的一个维度。

Dynamics of protein turnover, a missing dimension in proteomics.

作者信息

Pratt Julie M, Petty June, Riba-Garcia Isabel, Robertson Duncan H L, Gaskell Simon J, Oliver Stephen G, Beynon Robert J

机构信息

Department of Veterinary Preclinical Sciences, University of Liverpool, Crown Street, Liverpool L69 7ZJ, United Kingom.

出版信息

Mol Cell Proteomics. 2002 Aug;1(8):579-91. doi: 10.1074/mcp.m200046-mcp200.

Abstract

Functional genomic experiments frequently involve a comparison of the levels of gene expression between two or more genetic, developmental, or physiological states. Such comparisons can be carried out at either the RNA (transcriptome) or protein (proteome) level, but there is often a lack of congruence between parallel analyses using these two approaches. To fully interpret protein abundance data from proteomic experiments, it is necessary to understand the contributions made by the opposing processes of synthesis and degradation to the transition between the states compared. Thus, there is a need for reliable methods to determine the rates of turnover of individual proteins at amounts comparable to those obtained in proteomic experiments. Here, we show that stable isotope-labeled amino acids can be used to define the rate of breakdown of individual proteins by inspection of mass shifts in tryptic fragments. The approach has been applied to an analysis of abundant proteins in glucose-limited yeast cells grown in aerobic chemostat culture at steady state. The average rate of degradation of 50 proteins was 2.2%/h, although some proteins were turned over at imperceptible rates, and others had degradation rates of almost 10%/h. This range of values suggests that protein turnover is a significant missing dimension in proteomic experiments and needs to be considered when assessing protein abundance data and comparing it to the relative abundance of cognate mRNA species.

摘要

功能基因组实验经常涉及比较两个或更多遗传、发育或生理状态下的基因表达水平。这种比较可以在RNA(转录组)或蛋白质(蛋白质组)水平上进行,但使用这两种方法的平行分析之间往往缺乏一致性。为了全面解释蛋白质组实验中的蛋白质丰度数据,有必要了解合成和降解这两个相反过程对所比较状态之间转变的贡献。因此,需要可靠的方法来确定单个蛋白质的周转速率,其数量与蛋白质组实验中获得的数量相当。在这里,我们表明稳定同位素标记的氨基酸可用于通过检查胰蛋白酶片段中的质量变化来定义单个蛋白质的分解速率。该方法已应用于对在有氧恒化器培养中稳态生长的葡萄糖受限酵母细胞中丰富蛋白质的分析。50种蛋白质的平均降解速率为2.2%/小时,尽管有些蛋白质以难以察觉的速率周转,而其他蛋白质的降解速率几乎为10%/小时。这个数值范围表明蛋白质周转是蛋白质组实验中一个重要的缺失维度,在评估蛋白质丰度数据并将其与同源mRNA物种的相对丰度进行比较时需要考虑。

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