How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes
How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes
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mRNA 表达如何预测蛋白质表达？
DOI：
10.1111/j.1745-7270.2008.00418.x
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发表时间：
2008-05-01
影响因子：
3.7
通讯作者：
Deng, Hongwen
中科院分区：
文献类型：
--
作者：
Guo, Yanfang;Xiao, Peng;Deng, Hongwen
研究mRNA表达的一个关键假设是它在预测蛋白质表达方面提供信息。然而，只有有限的研究探索了酵母或人体组织中mRNA-蛋白质表达的相关性，并且结果相对不一致。我们对来自30名无关女性的新鲜分离的人循环单核细胞中的mRNA-蛋白表达进行了相关性分析。通过双向电泳结合质谱对71个基因的表达蛋白进行了定量和鉴定。用Affyphin基因芯片定量分析相应的mRNA表达。对于包括所有研究的基因和所有样品的整个数据集，观察到显著相关性（r=0.235，P < 0.0001）。在基因本体论的不同生物学类别中，相关性是不同的。例如，胞外区基因与细胞成分的相关性最高（r=0.643，P < 0.0001），而调控基因与生物学过程的相关性最低（r=0.099，P=0.213）。在基因组中，半数样本的71个基因表达量呈显著正相关，所有样本的平均mRNA表达量与平均蛋白表达量呈显著正相关（r=0.296，P < 0.01）。然而，在研究组水平上，只有五个研究基因在所有样本中具有显著的正相关性。我们的研究结果表明，mRNA和蛋白质表达水平之间的整体正相关。然而，中等和不同的相关性表明，mRNA表达有时可能是有用的，但肯定远远不够完美，在预测蛋白质表达水平。
A key assumption in studying mRNA expression is that it is informative in the prediction of protein expression. However, only limited studies have explored the mRNA-protein expression correlation in yeast or human tissues and the results have been relatively inconsistent. We carried out correlation analyses on mRNA-protein expressions in freshly isolated human circulating monocytes from 30 unrelated women. The expressed proteins for 71 genes were quantified and identified by 2-D electrophoresis coupled with mass spectrometry. The corresponding mRNA expressions were quantified by Affymetrix gene chips. Significant correlation (r=0.235, P < 0.0001) was observed for the whole dataset including all studied genes and all samples. The correlations varied in different biological categories of gene ontology. For example, the highest correlation was achieved for genes of the extracellular region in terms of cellular component (r=0.643, P < 0.0001) and the lowest correlation was obtained for genes of regulation (r=0.099, P=0.213) in terms of biological process. In the genome, half of the samples showed significant positive correlation for the 71 genes and significant correlation was found between the average mRNA and the average protein expression levels in all samples (r=0.296, P < 0.01). However, at the study group level, only five studied genes had significant positive correlation across all the samples. Our results showed an overall positive correlation between mRNA and protein expression levels. However, the moderate and varied correlations suggest that mRNA expression might be sometimes useful, but certainly far from perfect, in predicting protein expression levels.