Protein expression correlation with mRNA

How do the expressions of these proteins correlate with the corresponding mRNA profiles The answer is that structure-related proteins are almost always better correlated with mRNA levels across the 60 cell lines. These kinds of studies may allow us to eventually unravel the mysteries surroxmding the complex relationships of transcriptional and translational events. 

There are issues of interpretation of experimental design and results. Does mRNA expression mean anything at a quantitative level Perhaps even a qualitative view of mRNA expression can be misleading. How is mRNA expression correlated with protein ex-... 

Subbarayan, P.R., Wang, P.G., Lampidis, T.J., Ardalan, B., and Braunschweiger, R (2008). Differential expression of glut 1 mrna and protein levels correlates with increased sensitivity to the glyco-conjugated nitric oxide donor (2-glu-snap) in different tumor cell types. J. Chemother. 20, 106-111. 

The ultimate goal of microarray-based expression analysis is to acquire a comprehension of the entire cellular process, in order to exploit and to standardize the multidi-menisional relations between genotype and phenotype. However, an increasingly important parameter, which has not yet been substantially taken into account, is the role of cellular translation. This means that mRNA expression data need to be correlated with the assortment of proteins actually present in the cell. One approach is based on the use of microarrays containing double-stranded DNA probes for the analysis of DNA-protein interaction and, thus, the detection and identification of DNA-binding proteins by means of fluorescence [130] or mass spectrometry analysis [131]. Moreover, substantial efforts are currently under way to develop protein, antibody, or even cell arrays, applicable to the cor-... 

Expression profiles at the protein level may throw more light on function, than those at the transcript level, as mRNA levels do not necessarily correlate with protein levels.7... 

The above bioinformatic tools provide methods of determining differences or similarities in datasets. The next step is to incorporate metabolomic data with other expression information, including mRNA and proteins, to infer gene function. To accomplish this, metabolomic data sets must be integrated and correlated in a global maimer with genetic and enzymatic data, pathways assembled into systems, and... 

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