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Published on: September 8, 2015
How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes
Yanfang Guo1, Peng Xiao, Shufeng Lei
1Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Abstract:
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.
Insights
Messenger RNA (mRNA) expression is generally correlated with protein levels, but this relationship is not always precise. Our study in human monocytes reveals moderate and variable correlations, indicating mRNA is a useful but imperfect predictor of protein expression.
Area of Science:
- Molecular Biology
- Genomics
- Proteomics
Background:
- A fundamental assumption in molecular biology is that messenger RNA (mRNA) levels accurately reflect protein expression.
- Existing research on the correlation between mRNA and protein expression in human tissues has yielded inconsistent results.
- Limited studies have investigated this relationship in specific human cell types, necessitating further investigation.
Purpose of the Study:
- To investigate the correlation between mRNA and protein expression levels in freshly isolated human circulating monocytes.
- To determine if mRNA expression can reliably predict protein expression across different biological categories.
- To assess the overall utility of mRNA as a predictor of protein abundance in human monocytes.
Main Methods:
- Correlation analyses were performed on mRNA and protein expression data from 30 unrelated women.
- Protein expression for 71 genes was quantified using 2-D electrophoresis and mass spectrometry.
- mRNA expression was quantified using Affymetrix gene chips.
Main Results:
- A significant overall positive correlation (r=0.235, P<0.0001) was found between mRNA and protein expression across all genes and samples.
- Correlation strength varied by gene ontology categories, with the extracellular region showing high correlation (r=0.643) and regulation genes showing low correlation (r=0.099).
- While average mRNA and protein levels correlated significantly (r=0.296, P<0.01), only five genes showed significant positive correlation across all individual samples.
Conclusions:
- There is an overall positive correlation between mRNA and protein expression levels in human monocytes.
- The moderate and variable nature of these correlations indicates that mRNA expression is a useful but not perfect predictor of protein expression.
- The findings highlight the complexity of the mRNA-protein relationship and suggest that other regulatory mechanisms influence protein abundance.
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