Cytokine-specific Gene-knockout Studies in Oropharyngeal Candidiasis

Oropharyngeal candidiasis is a common clinical problem encountered in patients with defects in innate or cell-mediated immunity. We have previously shown that recovery from chronic oropharyngeal candidiasis is dependent on CD4+ T-cell augmentation of neutrophil and macrophage candidacidal activity, and that the immune response is characterised by the production of cytokines such as IL-12 and IFN-gamma by cells in the local draining lymph nodes, and by the expression of TNF-alpha in the oral tissues. Objective: The purpose of this study was to elaborate on the role of these cytokines in recovery from oropharyngeal candidiasis, by using cytokine-specific gene-knockout mice. Methods: These mice are created by targeted gene mutation (tm1) of embryonic stem (ES) cells microinjected into host embryos. IL-4, IL-10, IL-12, IFN-gamma and TNF-alpha knockout mice, and appropriate controls, were infected orally with 108 viable C. albicans yeasts. The infection was quantified by swabbing the oral cavity and plating on Sabouraud's agar. Results: Tnftm1mice developed an acute severe infection characterized by an increased fungal load in the early stages of infection, but cleared the yeast within the same time frame as control mice (21 days). On the other hand, Il12btm1 mice developed a chronic oropharyngeal infection (120 days) similar to that seen in T-cell deficient (Foxn1nu/Foxn1nu) mutant mice. There was no significant difference between Il4tm1, Il10tm1, and Ifngtm1 mice and their respective controls. Conclusions: Tnftm1 mice may be rendered more susceptible through impaired recruitment of phagocytic cells, and/or impaired killing of C. albicans, whereas Il12btm1 mice may not be capable of activating naïve T-cells or inducing an appropriate cellular immune response. Supported by NHMRC and ADRF.

Structure and dynamics of a gene network model incorporating small RNAs

As advances in molecular biology continue to reveal additional layers of complexity in gene regulation, computational models need to incorporate additional features to explore the implications of new theories and hypotheses. It has recently been suggested that eukaryotic organisms owe their phenotypic complexity and diversity to the exploitation of small RNAs as signalling molecules. Previous models of genetic systems are, for several reasons, inadequate to investigate this theory. In this study, we present an artificial genome model of genetic regulatory networks based upon previous work by Torsten Reil, and demonstrate how this model generates networks with biologically plausible structural and dynamic properties. We also extend the model to explore the implications of incorporating regulation by small RNA molecules in a gene network. We demonstrate how, using these signals, highly connected networks can display dynamics that are more stable than expected given their level of connectivity.

Origin and possible roles of the Sox8 transcription factor gene during sexual development

Sox8 is a member of the Sox family of developmental transcription factor genes and is closely related to Sox9, a critical gene involved in mammalian sex determination and differentiation. Both genes encode proteins with the ability to bind similar DNA target sequences, and to activate transcription in in vitro assays. Expression studies indicate that the two genes have largely overlapping patterns of activity during mammalian embryonic development. A knockout of Sox8 in mice has no obvious developmental phenotype, suggesting that the two genes are able to act redundantly in a variety of developmental contexts. In particular, both genes are expressed in the developing Sertoli cell lineage of the developing testes in mice, and both proteins are able to activate transcription of the gene encoding anti-Mullerian hormone (AMH), through synergistic action with steroidogenic factor I (SF1). We have hypothesized that Sox8 may substitute for Sox9 in species where Sox9 is expressed too late to be involved in sex determination or regulation of Amh expression. However, our studies involving the red-eared slider turtle indicate that Sox8 is expressed at similar levels in males and females throughout the sex-determining period, suggesting that Sox8 is neither a transcriptional regulator for Amh, nor responsible for sex determination or gonad differentiation in that species. Similarly, Sox8 is not expressed in a sexually dimorphic pattern during gonadogenesis in the chicken. Since a functional role(s) for Sox8 is implied by its conservation during evolution, the significance of Sox8 for sexual and other aspects of development will need to be uncovered through more directed lines of experimentation. Copyright (C) 2003 S. Karger AG, Basel.

Dynamics of gene expression in an artificial genome

Complex systems techniques provide a powerful tool to study the emergent properties of networks of interacting genes. In this study we extract models of genetic regulatory networks from an artificial genome, represented by a sequence of nucleotides, and analyse how variations in the connectivity and degree of inhibition of the extracted networks affects the resulting classes of behaviours. For low connectivity systems were found to be very stable. Only with higher connectivity was a significant occurrence of chaos found. Most interestingly, the peak in occurrence of chaos occurs perched on the edge of a phase transition in the occurrence of attractors.