How is mRNA expression predictive for protein expression？ A correlation study on human circulating monocytes  

作　　者：Yanfang Guo Peng Xiao Shufeng Lei Feiyan Deng Gary Guishan Xiao Yaozhong Liu Xiangding Chen Liming Li Shan Wu Yuan Chen Hui Jiang Lijun Tan Jingyun Xie Xuezhen Zhu Songping Liang Hongwen Deng 

机构地区：[1]Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China [2]Key Laboratory of Biomedical Information Engineering, Ministry of Education and Institute of Molecular Genetics, School of Life Science and Technology, Xi' an Jiaotong University, Xi' an 710049, China [3]Osteoporosis Research Center and Department of Biomedical Sciences, Creighton University Medical Center, Omaha, Nebraska 68131, USA [4]Key Laboratory of Protein Chemistry and Developmental Biology of Education Committee, College of Life Sciences, Hunan Normal University, Changsha 410081, China [5]Departments of Orthopedic Surgery and Basic Medical Sciences, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA

出　　处：《Acta Biochimica et Biophysica Sinica》2008年第5期426-436,共11页生物化学与生物物理学报（英文版）

基　　金：The work was partially supported by the grants from the National Natural Science Foundation of China （Nos. 30600364, 30470534, and 30230210） and the Scientific Research Fund of the Hunan Provincial Education Department （No. 05B037）. It was also partially supported by the LB595 grant from the State of Nebraska, USA. HWD was partially supported by grants from the US National Institutes of Health （Nos. K01 AR02170-01A2, R01 GM60402, 5R01 AR050496-02, and R21 AG027110-01A1）

摘　　要：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, haffof 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.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, haffof 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.

关 键 词：protein expression mRNA expression circulating monocytes gene function CORRELATION 

分 类 号：Q78[生物学—分子生物学]