Continued discovery of transcriptional units expressed in cells of the mouse mononuclear phagocyte lineage

The current RIKEN transcript set represents a significant proportion of the mouse transcriptome but transcripts expressed in the innate and acquired immune systems are poorly represented. In the present study we have assessed the complexity of the transcriptome expressed in mouse macrophages before and after treatment with lipopolysaccharide, a global regulator of macrophage gene expression, using existing RIKEN 19K arrays. By comparison to array profiles of other cells and tissues, we identify a large set of macrophage-enriched genes, many of which have obvious functions in endocytosis and phagocytosis. In addition, a significant number of LPS-inducible genes were identified. The data suggest that macrophages are a complex source of mRNA for transcriptome studies. To assess complexity and identify additional macrophage expressed genes, cDNA libraries were created from purified populations of macrophage and dendritic cells, a functionally related cell type. Sequence analysis revealed a high incidence of novel mRNAs within these cDNA libraries. These studies provide insights into the depths of transcriptional complexity still untapped amongst products of inducible genes, and identify macrophage and dendritic cell populations as a starting point for sampling the inducible mammalian transcriptome.

DC therapy for prostate cancer

The wide range of currently available treatments for metastatic prostate cancer have demonstrated a modest palliative effect, but none to date has shown an increase in overall survival. The immune system has evolved to protect against infection, however, the modulation of this system represents the possibility of allowing it to identify and destroy cancer cells. The immune system is capable of inciting a powerful immune response against tissues, in the form of transplant rejection, and the potential exists to harness these powers to fight against tumors. Modest clinical responses have been seen in patients with metastatic prostate cancer treated with DC therapies; however, no increase in overall survival has been demonstrated. The current state of DC immunotherapy for prostate cancer is reviewed.

Immunogenicity of liposomes containing lipid core peptides and the adjuvant Quil A

Purpose. The purpose of this study was to investigate the immunogenicity of liposomes containing mannosylated lipid core peptide (manLCP) constructs, both in vitro and in vivo, with or without the addition of the immune stimulating adjuvant Quil A. Methods. Mouse bone marrow dendritic cells (BMDC) were cultured with liposome formulations for 48 h, and the resulting level of BMDC activation was determined by flow cytometry. BMDC pulsed with liposome formulations were incubated with 5,6-carboxyfluoroscein diacetate succinimidyl ester-labeled T cells for 72 h and the resulting T cell proliferation was determined by flow cytometry. To investigate the immunogenicity of formulations in vivo, groups of C57Bl/6J mice were immunized by subcutaneous injection, and the resulting antigen-specific cytotoxic and protective immune responses toward tumor challenge evaluated. Results. Despite being unable to demonstrate the activation of BMDC, BMDC pulsed with liposomes containing manLCP constructs were able to stimulate the proliferation of naive T cells in vitro. However, in vivo only liposomes containing both manLCP and Quil A were able to stimulate a strong antigen-specific cytotoxic immune response. Liposomes containing manLCP and Quil A within the same particle were able to protect against the growth of tumor cells to a similar level as if the antigen was administered in alum with CD4 help. Conclusion. ManLCPs administered in liposomes are able to stimulate strong cytotoxic and protective immune responses if Quil A is also incorporated as an adjuvant.

DNA Motifs Suppressing TLR9 Responses

Immune cells respond to bacterial DNA containing unmethylated CpG motifs via Toll-like receptor 9 (TLR9). Given the apparent role of TLR9 in development of systemic lupus erythernatosus (SLE), there is interest in the development of TLR9 inhibitors. TLR9-mediated responses are reported to be inhibited by a confusing variety of different DNA sequences and structures. To aid characterization, we have provisionally categorized TLR9-inhibitory oligodeoxynucleoti des (ODN) into 4 classes, on the basis of sequence and probable mode of action. Class I are short G-rich ODN, which show sequence-specific inhibition of all TLR9 responses, and may be direct competitive inhibitors for DNA binding to TLR9. Class II are telomeric repeat motifs that inhibit STAT signaling, and thus are not specific to TLR9 responses. Because Class II ODN are generally made as 24-base phosphorothioate-modified ODN (PS-ODN), they also fall into Class IV, defined as long PS-ODN, which inhibit TLR9 responses in a sequence-nonspecific manner. Class III includes oligo (dG) that forms a 4-stranded structure and inhibits DNA uptake. The Class I G-rich motifs show the most promise as selective and potent TLR9 inhibitors for therapeutic applications.

Formulation and characterisation of cationic microparticles for the delivery of DNA vaccines

The aim of this research was to formulate a novel biodegradable, biocompatible cationic microparticle vector for the delivery of DNA vaccines. The work builds upon previous research by Singh et al which described the adsorption of DNA to the surface of poly (D,L-lactide-co-glycolide) (PLG) microparticles stabilised with the surfactant cetyltrimethyl ammonium bromide (CT AB). This work demonstrated the induction of antibody and cellular immune responses to HIV proteins encoded on plasmid DNA adsorbed to the particle surface in mice, guinea pigs and non-human primates (Singh et aI, 2000; O'Hagan et aI, 2001). However, the use of surfactants in microparticle formulations for human vaccination is undesirable due to long term safety issues. Therefore, the present research aim was to develop an adsorbed DNA vaccine with enhanced potency and increased safety compared to CTAB stabilised PLG microparticles (PLG/CTAB) by replacement of the surfactant CTAB with an alternative cationic agent. The cationic polymers chitosan and poly (N- vinylpyrrolidone/2-dimethylaminoethyl methacrylate), dimethyl sulfate quaternary (PVP-PDAEMA) were investigated as alternative stabilisers to CTAB. From a variety of initial formulations, the most promising vector(s) for DNA vaccination were selected based on physicochemical data (chapter 3) and in vitro DNA loading and release characteristics (chapter 4). The chosen formulation(s) were analysed in greater depth (chapters 3 and 4), and gene expression was assessed by in vitro cell transfection studies using 293T kidney epithelial and C2C12 myoblast non-phagocytic cell lines (chapter 5). The cytotoxicity of the microparticles and their constituents were also evaluated in vitro (chapter 5). Stability and suitability of the formulation(s) for commercial production were assessed by cryopreparation and lyophilisation studies (chapters 3 and 4). Gene expression levels in cells of the immune response were evaluated by microparticle transfection of the dendritic cell (DC) line 2.4 and primary bone marrow derived DCs (chapter 6). In vivo, mice were injected i.m. with the formulations deemed most promising on the basis of in vitro studies and humoral and cellular immune responses were evaluated (chapter 6).

Identification and expression modulation of a C-type lectin domain family 4 homologue that is highly expressed in monocytes/macrophages in rainbow trout (Oncorhynchus mykiss)

Peer reviewed

Identification and expression modulation of a C-type lectin domain family 4 homologue that is highly expressed in monocytes/macrophages in rainbow trout (Oncorhynchus mykiss)

Peer reviewed

Pathogen-Specific Adaptations to Conserved Signaling Pathways in Cryptococcus neoformans

Cryptococcus neoformans is an opportunistic fungal pathogen that causes significant disease worldwide. Even though this fungus has not evolved specifically to cause human disease, it has a remarkable ability to adapt to many different environments within its infected host. C. neoformans adapts by utilizing conserved eukaryotic and fungal-specific signaling pathways to sense and respond to stresses within the host. Upon infection, two of the most significant environmental changes this organism experiences are elevated temperature and high pH.

Conserved Rho and Ras family GTPases are central regulators of thermotolerance in C. neoformans. Many GTPases require prenylation to associate with cellular membranes and function properly. Using molecular genetic techniques, microscopy, and infection models, I demonstrated that the prenyltransferase, geranylgeranyl transferase I (GGTase I) is required for thermotolerance and pathogenesis. Using fluorescence microscopy, I found that only a subset of conserved GGTase I substrates requires this enzyme for membrane localization. Therefore, the C. neoformans GGTase I may recognize its substrate in a slightly different manner than other eukaryotic organisms.

The alkaline response transcription factor, Rim101, is a central regulator of stress-response genes important for adapting to the host environment. In particular, Rim101 regulates cell surface alterations involved in immune avoidance. In other fungi, Rim101 is activated by alkaline pH through a conserved signaling pathway, but this pathway had yet been characterized in C. neoformans. Using molecular genetic techniques, I identified and analyzed the conserved members of the Rim pathway. I found that it was only partially conserved in C. neoformans, missing the components that sense pH and initiate pathway activation. Using a genetic screen, I identified a novel Rim pathway component named Rra1. Structural prediction and genetic epistasis experiments suggest that Rra1 may serve as the Rim pathway pH sensor in C. neoformans and other related basidiomycete fungi.

To explore the relevance of Rim pathway signaling in the interaction of C neoformans with its host, I characterized the Rim101-regulated cell wall changes that prevent immune detection. Using HPLC, enzymatic degradation, and cell wall stains, I found that the rim101Δ mutation resulted in increased cell wall chitin exposure. In vitro co-culture assays demonstrated that increased chitin exposure is associated with enhanced activation of macrophages and dendritic cells. To further test this association, I demonstrated that other mutant strains with increased chitin exposure induce macrophage and dendritic cell responses similar to rim101Δ. We used primary macrophages from mutant mouse lines to demonstrate that members of both the Toll-like receptor and C-type lectin receptor families are involved in detecting strains with increased chitin exposure. Finally, in vivo immunological experiments demonstrated that the rim101Δ strain induced a global inflammatory immune response in infected mouse lungs, expanding upon our previous in vivo rim101Δ studies. These results demonstrate that cell wall organization largely determines how fungal cells are detected by the immune system.

Caractérisation des inhibiteurs de DCIR, une lectine de type C participant à la transmission du VIH-1

Le virus de l’immunodéficience humaine de type 1 provoque une infection définitive de l’organisme. Il entraine une déroute du système immunitaire depuis la primo-infection occasionnant ainsi, une déplétion massive des lymphocytes T CD4 (LTCD4). Le DCIR (Dendritic Cell Immuno Receptor) qui constitue le socle de notre travail, est une lectine de type C. Il est exprimé sur les cellules myéloïdes comme les cellules dendritiques mais aussi sur les cellules B, les LTCD4 infectés par le VIH-1 et apoptotiques ainsi que sur les LTCD4 polarisés en Th17. Il constitue un facteur d’attachement et d’internalisation du virus dans la cellule dendritique. Il permet son transfert aux LTCD4 dans les organes lymphoïdes secondaires, jouant ainsi un rôle dans la pathogenèse associée au VIH-1. En plus, le DCIR assure la régulation négative de la réponse cellulaire, favorisant ainsi la propagation et la réplication du virus au détriment de la réponse immunitaire contre le VIH-1. Le rôle que joue le DCIR est dépendant du sentier de signalisation induit à la suite de la phosphorylation des résidus tyrosine de son motif ITIM. Le blocage de DCIR par des inhibiteurs spécifiques pourrait empêcher cette phosphorylation et réduire l’attachement, l’internalisation et le transfert du virus. Nous avons montré que la stimulation des cellules dendritiques et des LTCD4 polarisés en Th17 avec un anticorps anti-DCIR générait un patron de phosphorylation des résidus tyrosine des protéines. De plus, les inhibiteurs de la portion extracellulaire du DCIR inhibent cette activation. Afin de développer une mesure plus directe de l’interaction de DCIR avec ces inhibiteurs, nous avons purifié le DCIR à partir des cellules Raji-CD4-DCIR. En conclusion, ce projet de maitrise montre que l’activation directe de DCIR peut être renversée par des inhibiteurs montrant ainsi leurs spécificités. De plus, le profil d’activation de DCIR est spécifique pour chaque type cellulaire. A long terme, l’inactivation de DCIR par des inhibiteurs efficaces pourrait être une stratégie thérapeutique capable d’inhiber l’infection et de préserver une réponse immunitaire efficace.

An Agent-based Classification Model

The major function of this model is to access the UCI Wisconsin Breast Cancer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classification can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems. One popular solution for anomaly detection is Artificial Immune Systems (AIS). AIS are adaptive systems inspired by theoretical immunology and observed immune functions, principles and models which are applied to problem solving. The Dendritic Cell Algorithm (DCA)[2] is an AIS algorithm that is developed specifically for anomaly detection. It has been successfully applied to intrusion detection in computer security. It is believed that agent-based modelling is an ideal approach for implementing AIS, as intelligent agents could be the perfect representations of immune entities in AIS. This model evaluates the feasibility of re-implementing the DCA in an agent-based simulation environment called AnyLogic, where the immune entities in the DCA are represented by intelligent agents. If this model can be successfully implemented, it makes it possible to implement more complicated and adaptive AIS models in the agent-based simulation environment.

Myeloid precursors, osteoclastogenesis, and Spondyloarthropathies

Spondyloarthropathies (or Spondyloarthritides; SpAs) are a group of heterogeneous but genetically related inflammatory disorders in which ankylosing spondylitis (AS) is considered the prototypic form. Among the genes associated with AS, HLA-B27 allele has the strongest association although the cause is still not clear. Rats transgenic for the human HLA-B27 gene (B27 rats) develop a systemic inflammation mirroring the human SpA symptoms and thus provide a useful model to study the contribution of this MHC class I molecule in the disease development. Of particular interest was the observation of absence of arthritis in B27 rats grown in germ-free conditions and a recent theory suggests that microbial dysbiosis and gut inflammation might play a key role in initiating the HLA-B27-associated diseases. Studies in our laboratory have previously demonstrated that HLA-B27 expression alters the development of the myeloid compartment within the bone marrow (BM) in B27 rat and causes loss of a specific dendritic cell (DC) population involved in self-tolerance mechanisms within the gut. The aim of this thesis was to further analyse the myeloid compartment in B27 rats with a particular focus on the osteoclast progenitors and the bone phenotype and to link this to the gut inflammation. In addition, translational studies analysed peripheral monocyte/pre-osteoclasts in AS patients and teased apart the role of cytokines in in vitro human osteoclast differentiation. To understand the dynamics of the myeloid/monocyte compartment within the B27-associated inflammation, monocytes within the bloodstream and BM of B27 rats were characterised via flow cytometry and their ability to differentiate into osteoclast was assessed in vitro. Moreover, an antibiotic regime was used to reduce the B27 ileitis and to evaluate whether this could affect the migration, the phenotype, and the osteoclastogenic potential of B27 monocytes. B27 animals display a systemic and central increase of “inflammatory” CD43low MOs, which are the main contributors to osteoclastogenesis in vitro. Antibiotic treatment reduced ileitis and also reverted the B27 monocyte phenotype. This was also associated with the reduction of the previous described TNFα-enhancement of osteoclast differentiation from B27 BM precursors. These evidences support the idea that in genetically susceptible individuals inflammation in the gut might influence the myeloid compartment within the BM; in other terms, pre-emptively educate precursor cells to acquire specific phenotype end functions after being recruited into the tissue. This might explain the enhanced differentiation of osteoclast from B27 BM progenitors and thus the HLA-B27-associated bone loss. The data shown in this thesis suggest a link between the immunity within the gut and BM haematopoiesis. This provides an attractive and novel research prospective that could help not only to increase the understanding of the HLA-B27-associated aetiopathogenesis but also to unravel the cellular crosstalk that allows the mucosal immunity to program central cell differentiation. Human translational studies on monocyte subsets, cytokines and cytokine network in AS osteoclastogenesis evidenced altered osteoclast differentiation in the presence of IL-22 although no differences in the phenotype and functions of circulating CD14+ monocytes were observed. In addition, studies on the role of TNFα and TNFRs showed a dual role of this inflammatory cytokine in the human OC differentiation. In particular, the activation of TNFR1 in monocytes in early osteoclastogenesis inhibits OC differentiation while TNFα-biasing for TNFR2 on osteoclast precursors mediates the osteoclastogenic effect. Whether similar mechanisms are involved in the TNFα-mediated joint destruction in human rheumatic diseases needs further investigations. This could contribute to the development of novel and more specific anti-TNFα agents for the treatment of bone erosion. In conclusion, taken together my studies support the idea of a crosstalk between the periphery and the central system during the inflammatory response and provide new insights to the mechanisms behind the enhancement of osteoclastogenesis in B27-associated disorders.

DCA for bot detection

Ensuring the security of computers is a non-trivial task, with many techniques used by malicious users to compromise these systems. In recent years a new threat has emerged in the form of networks of hijacked zombie machines used to perform complex distributed attacks such as denial of service and to obtain sensitive data such as password information. These zombie machines are said to be infected with a dasiahotpsila - a malicious piece of software which is installed on a host machine and is controlled by a remote attacker, termed the dasiabotmaster of a botnetpsila. In this work, we use the biologically inspired dendritic cell algorithm (DCA) to detect the existence of a single hot on a compromised host machine. The DCA is an immune-inspired algorithm based on an abstract model of the behaviour of the dendritic cells of the human body. The basis of anomaly detection performed by the DCA is facilitated using the correlation of behavioural attributes such as keylogging and packet flooding behaviour. The results of the application of the DCA to the detection of a single hot show that the algorithm is a successful technique for the detection of such malicious software without responding to normally running programs.

The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms

The dendritic cell algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation which results in a ‘context aware’ detection system. Previous applications of the DCA have included the detection of potentially malicious port scanning activity, where it has produced high rates of true positives and low rates of false positives. In this work we aim to compare the performance of the DCA and of a self-organizing map (SOM) when applied to the detection of SYN port scans, through experimental analysis. A SOM is an ideal candidate for comparison as it shares similarities with the DCA in terms of the data fusion method employed. It is shown that the results of the two systems are comparable, and both produce false positives for the same processes. This shows that the DCA can produce anomaly detection results to the same standard as an established technique.

Artificial immune systems

The human immune system has numerous properties that make it ripe for exploitation in the computational domain, such as robustness and fault tolerance, and many different algorithms, collectively termed Artificial Immune Systems (AIS), have been inspired by it. Two generations of AIS are currently in use, with the first generation relying on simplified immune models and the second generation utilising interdisciplinary collaboration to develop a deeper understanding of the immune system and hence produce more complex models. Both generations of algorithms have been successfully applied to a variety of problems, including anomaly detection, pattern recognition, optimisation and robotics. In this chapter an overview of AIS is presented, its evolution is discussed, and it is shown that the diversification of the field is linked to the diversity of the immune system itself, leading to a number of algorithms as opposed to one archetypal system. Two case studies are also presented to help provide insight into the mechanisms of AIS; these are the idiotypic network approach and the Dendritic Cell Algorithm.

Performance evaluation of DCA and SRC on a single bot detection

Malicious users try to compromise systems using new techniques. One of the recent techniques used by the attacker is to perform complex distributed attacks such as denial of service and to obtain sensitive data such as password information. These compromised machines are said to be infected with malicious software termed a “bot”. In this paper, we investigate the correlation of behavioural attributes such as keylogging and packet flooding behaviour to detect the existence of a single bot on a compromised machine by applying (1) Spearman’s rank correlation (SRC) algorithm and (2) the Dendritic Cell Algorithm (DCA). We also compare the output results generated from these two methods to the detection of a single bot. The results show that the DCA has a better performance in detecting malicious activities.