We have determined the relationship between mRNA and protein expression levels for selected genes expressed in the yeast Saccharomyces cerevisiae growing at mid-log phase. The proteins contained in total yeast cell lysate were separated by high-resolution two-dimensional (2D) gel electrophoresis. Over 150 protein spots were excised and identified by capillary liquid chromatography-tandem mass spectrometry (LC-MS/MS). Protein spots were quantified by metabolic labeling and scintillation counting. Corresponding mRNA levels were calculated from serial analysis of gene expression (SAGE) frequency tables (V. E. Velculescu, L. Zhang, W. Zhou, J. Vogelstein, M. A. Basrai, D. E. Bassett, Jr., P. Hieter, B. Vogelstein, and K. W. Kinzler, Cell 88:243-251, 1997). We found that the correlation between mRNA and protein levels was insufficient to predict protein expression levels from quantitative mRNA data. Indeed, for some genes, while the mRNA levels were of the same value the protein levels varied by more than 20-fold. Conversely, invariant steady-state levels of certain proteins were observed with respective mRNA transcript levels that varied by as much as 30-fold. Another interesting observation is that codon bias is not a predictor of either protein or mRNA levels. Our results clearly delineate the technical boundaries of current approaches for quantitative analysis of protein expression and reveal that simple deduction from mRNA transcript analysis is insufficient.The description of the state of a biological system by the quantitative measurement of the system constituents is an essential but largely unexplored area of biology. With recent technical advances including the development of differential display-PCR (21), of cDNA microarray and DNA chip technology (20,27), and of serial analysis of gene expression (SAGE) (34, 35), it is now feasible to establish global and quantitative mRNA expression profiles of cells and tissues in species for which the sequence of all the genes is known. However, there is emerging evidence which suggests that mRNA expression patterns are necessary but are by themselves insufficient for the quantitative description of biological systems. This evidence includes discoveries of posttranscriptional mechanisms controlling the protein translation rate (15), the half-lives of specific proteins or mRNAs (33), and the intracellular location and molecular association of the protein products of expressed genes (32).Proteome analysis, defined as the analysis of the protein complement expressed by a genome (26), has been suggested as an approach to the quantitative description of the state of a biological system by the quantitative analysis of protein expression profiles (36). Proteome analysis is conceptually attractive because of its potential to determine properties of biological systems that are not apparent by DNA or mRNA sequence analysis alone. Such properties include the quantity of protein expression, the subcellular location, the state of modification, and the association with ligands, as w...

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Human cyclin E, originally identified on the basis of its ability to function as a G1 cyclin in budding yeast, associated with a cell cycle-regulated protein kinase in human cells. The cyclin E-associated kinase activity peaked during G1, before the appearance of cyclin A, and was diminished during exit from the cell cycle after differentiation or serum withdrawal. The major cyclin E-associated kinase in human cells was Cdk2 (cyclin-dependent kinase 2). The abundance of the cyclin E protein and the cyclin E-Cdk2 complex was maximal in G1 cells. These results provide further evidence that in all eukaryotes assembly of a cyclin-Cdk complex is an important step in the biochemical pathway that controls cell proliferation during G1.

Jurkat T cell lines constitutively expressing Tax, the 40-kilodalton transactivator protein of human T lymphotropic virus type I (HTLV-I), were used to investigate the mechanism by which this viral product deregulates the expression of the interleukin-2 receptor alpha gene (IL-2R alpha, Tac). Transfection of deleted forms of the IL-2R alpha promoter and in vitro DNA-binding studies revealed that a 12-base pair promoter segment, which has homology with the binding site for NF-kappa B, was required for Tax-induced activation of the IL-2R alpha promoter in vivo. An 18-base pair oligonucleotide containing this kappa B-like regulatory element proved sufficient to confer Tax inducibility upon a heterologous promoter. DNA affinity precipitation assays showed that Tax, like mitogenic stimuli, induced the expression of the 86-kilodalton cellular protein HIVEN86A, which specifically binds to the IL-2R alpha kappa B element in vitro. Furthermore, DNA/protein cross-linking studies revealed that several polypeptides interact with this sequence motif. Thus, the deregulation of IL-2R alpha gene expression encountered in HTLV-I leukemias appears to involve Tax activation of one or more cellular proteins that are normally induced by mitogens and that directly contribute to transcriptional activation of this receptor gene.

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