Global analysis of gene expression in cells of the immune system II. Cell-free translation products and high-density filter hybridization data

Normalization and analysis of residual variation in two-dimensional gel electrophoresis for quantitative differential proteomics

Although two-dimensional gel electrophoresis (2-DE) has long been a favorite experimental method to screen proteomes, its reproducibility is seldom analyzed with the assistance of quantitative error models. The lack of models of residual distributions that can be used to assign likelihood to differential expression reflects the difficulty in tackling the combined effect of variability in spot intensity and uncertain recognition of the same spot in different gels. In this report we have analyzed a series of four triplicate two-dimensional gels of chicken embryo heart samples at two distinct development stages to produce such a model of residual distribution. In order to achieve this reference error model, a nonparametric procedure for consistent spot intensity normalization had to be established, and is also reported here. In addition to variability in normalized intensity due to various sources, the residual variation between replicates was observed to be compounded by failure to identify the spot itself (gel alignment). The mixed effect is reflected by variably skewed bimodal density distributions of residuals. The extraction of a global error model that accommodated such distribution was achieved empirically by machine learning, specifically by bootstrapped artificial neural networks. The model described is being used to assign confidence values to observed variations in arbitrary 2-DE gels in order to quantify the degree of over-expression and under-expression of protein spots.

Gene expression in IFN-gamma-activated murine macrophages

Macrophages are critical for natural immunity and play a central role in specific acquired immunity. The IFN-gamma activation of macrophages derived from A/J or BALB/c mice yielded two different patterns of antiviral state in murine hepatitis virus 3 infection, which were related to a down-regulation of the main virus receptor. Using cDNA hybridization to evaluate mRNA accumulation in the cells, we were able to identify several genes that are differently up- or down-regulated by IFN-gamma in A/J (267 and 266 genes, respectively, up- and down-regulated) or BALB/c (297 and 58 genes, respectively, up- and down-regulated) mouse macrophages. Macrophages from mice with different genetic backgrounds behave differently at the molecular level and comparison of the patterns of non-activated and IFN-gamma-activated A/J or BALB/c mouse macrophages revealed, for instance, an up-regulation and a down-regulation of genes coding for biological functions such as enzymatic reactions, nucleic acid synthesis and transport, protein synthesis, transport and metabolism, cytoskeleton arrangement and extracellular matrix, phagocytosis, resistance and susceptibility to infection and tumors, inflammation, and cell differentiation or activation. The present data are reported in order to facilitate future correlation of proteomic/transcriptomic findings as well as of results obtained from a classical approach for the understanding of biological phenomena. The possible implication of the role of some of the gene products relevant to macrophage biology can now be further scrutinized. In this respect, a down-regulation of the main murine hepatitis virus 3 receptor gene was detected only in IFN-gamma-activated macrophages of resistant mice.

Clonal proteomics: one gene - family of proteins

The work presented here attempts to consolidate our knowledge on cellular transcriptome and proteome. It takes into account that a typical activated cell (lymphocyte) contains 40 000 mRNA molecules at any time, and it represents about 5000 different molecular species of transcripts. Such a cell has about 1 000 000 000 protein molecules, some of them being present at 10 000 000 copies while others at a very low copy number (say 1 to 10 copies per cell). By studying cell free expression of individual cDNA clones (or pools of known complexity) we address to those rare molecular components that will remain undetected by the current analytical means. For our analysis we use cell free translation systems (wheat germ or rabbit reticulocyte origin) and we study polypeptide products originating from intact, or restriction endonuclease-treated cDNA clones. We conclude that in most instances expressed genes yield transcript(s) that translate into several, and often very numerous families of polypeptide species. In our ISODALT two-dimensional gel system we characterize the proteomic profile of the clonal polypeptide families in terms of their molecular mass, charge, multiple products, and appearance.

Proteome, transcriptome and genome: top down or bottom up analysis?

Biological systems are comprised of protein components found at a wide variety of abundances from millions of molecules of a single species per cell to less than one copy per cell. Because of this wide range of concentrations, measurement or a full accounting of each system is presently unavailable. Conventional separation and analytical methods (two-dimensional gel electrophoresis and mass spectrometry) allow identification and quantitation of many of the most abundant gene products (top down methods); and the majority of gene products, which are found at low abundance, can be neither identified nor measured in complex mixtures at present. The gene products that are found at low levels can be characterized and their properties analyzed by preparing ordered gene libraries of limited complexity from mRNA. When such preparations are expressed in cell free systems and analyzed by two-dimensional gel electrophoresis, the features of the gene products are available for analysis. This 'bottom up' approach allows identification of gene product properties so that analytical procedures can be devised and applied to complex mixtures.