Mutual antagonistic relationship between prostaglandin E(2) and IFN-gamma: Implications for rheumatoid arthritis.

Prostaglandin E(2) (PGE(2)) is a major mediator of inflammation and is present at high concentrations in the synovial fluid of rheumatoid arthritis (RA) patients. PGE(2), acting through the EP4 receptor, has both pro- and anti-inflammatory roles in vivo. To shed light on this dual role of PGE(2), we investigated its effects in whole blood and in primary human fibroblast-like synoviocytes (FLS). Gene expression analysis in human leukocytes, confirmed at the protein level, revealed an EP4-dependent inhibition of the expression of genes involved in the IFN-gamma-activation pathway, including IFN-gamma itself. This effect of the PGE(2)/EP4 axis on IFN-gamma is a reciprocal phenomenon since IFN-gamma blocks PGE(2) release and blocks EP receptor expression. The mutually antagonistic relationship between IFN-gamma and PGE(2) extends to downstream cytokine and chemokine release; PGE(2) counters the effects of IFN-gamma, on the release of IP-10, IL-8, TNF-alpha and IL-1beta. To gain further insight into IFN-gamma-mediated cellular events in RA, we assessed the effects of IFN-gamma on gene expression in FLS. We observed an IFN-gamma-dependent up-regulation of macrophage-attracting chemokines, and down-regulation of metalloprotease expression. These results suggest the existence of a mutually antagonistic relationship between PGE(2) and IFN-gamma, which may represent a fundamental mechanism of immune control in diseases such as RA.

Gene expression profiling in patients with chronic obstructive pulmonary disease and lung cancer.

RATIONALE: Chronic obstructive lung disease (COPD) is a common and disabling lung disease for which there are few therapeutic options. OBJECTIVES: We reasoned that gene expression profiling of COPD lungs could reveal previously unidentified disease pathways. METHODS: Forty-eight human lung samples were obtained from tissue resected from five nonsmokers, 21 GOLD (Global Initiative for Chronic Obstructive Lung Disease) stage 0, 9 GOLD stage 1, 10 GOLD stage 2, and 3 GOLD stage 3 patients. mRNA from the specimens was profiled using Agilent's Functional ID v2.0 array (Agilent, Santa Clara, CA) containing 23,720 sequences. MEASUREMENTS AND MAIN RESULTS: The gene expression pattern was influenced by the percentage of the sample made up of parenchyma. Gene expression was related to forced expiratory flow between 25 and 75% of forced expiratory volume (FEF(25-75%) % predicted) revealing a signature gene set of 203 transcripts. Genes involved in extracellular matrix synthesis/degradation and apoptosis were among the up-regulated genes, whereas genes that participate in antiinflammatory responses were down-regulated. Immunohistochemistry confirmed expression of urokinase plasminogen activator (PLAU), urokinase plasminogen activator receptor (PLAUR), and thrombospondin (THBS1) by alveolar macrophages and airway epithelial cells. Genes in this pathway have been shown to be involved in the activation of transforming growth factor (TGF)-beta1 and matrix metalloproteinases and are subject to inhibition by SERPINE2. Interestingly, both TGF-beta1 and SERPINE2 have been identified as candidate genes in COPD genetic linkage and association studies. CONCLUSIONS: The results provide evidence that genes involved in tissue remodeling and repair are differentially regulated in the lungs of obstructed smokers and suggest that they are potential therapeutic targets. Data deposited in GEO at http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE8500.

Gob-5 is not essential for mucus overproduction in preclinical murine models of allergic asthma.

Overexpression of Gob-5 has previously been linked to goblet cell metaplasia and mucin overproduction in both in vitro and in vivo model systems. In this study, Gob-5 knockout mice were generated and their phenotype was evaluated in two established preclinical models of allergic asthma. We sought to determine whether the Gob-5-null animals could produce less mucus in response to allergic challenge, and whether this would have any impact on reducing goblet cell metaplasia and airway inflammation. We found that in the absence of a proinflammatory stimulus we could not detect an overt phenotypic difference between age and sex-matched knockout and wild-type animals. Allergic challenge with ovalbumin or intranasal administration of interleukin-13 produced a robust allergic response that was similar regardless of genotype. In addition, siRNA-mediated knockdown of CLCA-1 in cultured lung epithelial cells failed to reduce mucin expression in vitro. Thus, in contrast to previously published reports, our findings show that Gob-5 expression is not essential for mucin overproduction in vitro or in murine models of allergic asthma. Furthermore, we have also exploited the use of gene expression array analysis to investigate the possibility that a compensatory mechanism, involving other genes, may act to override the requirement for Gob-5-mediated mucus overproduction.

oPOSSUM: identification of over-represented transcription factor binding sites in co-expressed genes.

Targeted transcript profiling studies can identify sets of co-expressed genes; however, identification of the underlying functional mechanism(s) is a significant challenge. Established methods for the analysis of gene annotations, particularly those based on the Gene Ontology, can identify functional linkages between genes. Similar methods for the identification of over-represented transcription factor binding sites (TFBSs) have been successful in yeast, but extension to human genomics has largely proved ineffective. Creation of a system for the efficient identification of common regulatory mechanisms in a subset of co-expressed human genes promises to break a roadblock in functional genomics research. We have developed an integrated system that searches for evidence of co-regulation by one or more transcription factors (TFs). oPOSSUM combines a pre-computed database of conserved TFBSs in human and mouse promoters with statistical methods for identification of sites over-represented in a set of co-expressed genes. The algorithm successfully identified mediating TFs in control sets of tissue-specific genes and in sets of co-expressed genes from three transcript profiling studies. Simulation studies indicate that oPOSSUM produces few false positives using empirically defined thresholds and can tolerate up to 50% noise in a set of co-expressed genes.

Genomic conflict settled in favour of the species rather than the gene at extreme GC percentage values.

Wada and colleagues have shown that, whether prokaryotic or eukaryotic, each gene has a "homostabilising propensity" to adopt a relatively uniform GC percentage (GC%). Accordingly, each gene can be viewed as a "microisochore" occupying a discrete GC% niche of relatively uniform base composition amongst its fellow genes. Although first, second and third codon positions usually differ in GC%, each position tends to maintain a uniform, gene-specific GC% value. Thus, within a genome, genic GC% values can cover a wide range. This is most evident at third codon positions, which are least constrained by amino acid encoding needs. In 1991, Wada and colleagues further noted that, within a phylogenetic group, genomic GC% values can also cover a wide range. This is again most evident at third codon positions. Thus, the dispersion of GC% values among genes within a genome matches the dispersion of GC% values among genomes within a phylogenetic group. Wada described the context-independence of plots of different codon position GC% values against total GC% as a "universal" characteristic. Several studies relate this to recombination. We have confirmed that third codon positions usually relate more to the genes that contain them than to the species. However, in genomes with extreme GC% values (low or high), third codon positions tend to maintain a constant GC%, thus relating more to the species than to the genes that contain them. Genes in an extreme-GC% genome collectively span a smaller GC% range, and mainly rely on first and second codon positions for differentiation as "microisochores". Our results are consistent with the view that differences in GC% serve to recombinationally isolate both genome sectors (facilitating gene duplication) and genomes (facilitating genome duplication, e.g. speciation). In intermediate-GC% genomes, conflict between the needs of the species and the needs of individual genes within that species is minimal. However, in extreme-GC% genomes there is a conflict, which is settled in favour of the species (i.e. group selection) rather than in favour of the gene (genic selection).

Comparison of responses by bacteriophages and bacteria to pressures on the base composition of open reading frames.

Differences in the base composition of genomes can occur because of GC pressure, purine-loading pressure (AG pressure) and RNY pressure, for which there are possible functional explanations, and because of the more abstract pressures exerted by individual bases. The graphical approach of Muto and Osawa was used to analyse how bacteriophages and bacteria balance potentially conflicting pressures on their genomes. Phages generally respond to AG pressure by increasing A while keeping T constant, and by decreasing C while keeping G constant. In contrast, bacteria generally increase both A and T, the former more so, and decrease both G and C, the latter more so. These differences largely occur at third codon positions, which are more responsive than first and second codon positions to AG pressure and GC pressure. Phages respond to AG pressure more in the third codon position than bacteria, whereas bacteria respond more in the first codon position than phages. Conversely, bacteria respond to GC pressure more in the third codon position than phages, whereas phages respond more in the first codon position than bacteria. As GC pressure increases, A is traded for C and AG pressure decreases; first and second codon positions, having more A than T, are most responsive to this negative effect of increased GC pressure; third positions either do not respond (phages) or respond weakly (bacteria). In a set of 48 phage-host pairs, degrees of purine loading were less correlated between phage and host than were GC percentages. These results suggest that pressures on conventional and genome phenotypes operate differentially in phages and bacteria, generating both general differences in base composition and specific differences characteristic of particular phage-host pairs. The reciprocal relationship between GC pressure and AG pressure implies that effects attributed to GC pressure may actually be due to AG pressure, and vice versa.