Investigation of lantibiotic regulation, immunity and synergy

Due to the increasing incidence of antibiotic resistant strains, the use of novel antimicrobials, such as bacteriocins, has become an ever more likely prospect. Lacticin 3147 (of which there are two components, Ltnα and Ltnβ) and nisin belong to the subgroup of bacteriocins called the lantibiotics, which has attracted much attention in recent years. The lantibiotics are antimicrobial peptides that contain unusual amino acids resulting from a series of enzyme-mediated post translational modifications. Given that there have been relatively few examples of lantibiotic-specific resistance; these antimicrobials appear to represent valid alternatives to classical antibiotics. However, the fact that lantibiotics are naturally only produced in small amounts often hinders their commercialisation. In order to overcome this bottleneck, several approaches can be employed. For example, we can create a situation that reduces the quantity of a lantibiotic required to inhibit a target by combining it with other antimicrobials. Here, following an initial screen involving lacticin 3147 and several classical antibiotics, it was observed between lacticin 3147 and the commercial antibiotics polymyxin B/E function synergistically. This reduced the amounts of the individual antimicrobials required for kill and broadened the spectrum of inhibition of both agents. Upon combination with polymyxins, lacticin 3147, which has been associated with Gram positive targets only, actively targeted Gram negative species such as Escherichia coli and Cronobacter sp. An alternative means of addressing problems associated with lantibiotic yield is to better understand how production is regulated, and ultimately use this information to enhance peptide levels. With this in mind the regulation of lacticin 3147 production from the promoter Pbac was investigated using a green fluorescent protein (GFP) expression reporter system. This revealed that elements within both of the divergent operons of the lacticin 3147 gene cluster are involved in Pbac regulation. That is, LtnR, already established as a negative regulator of itself and the lacticin 3147 associated immunity genes, also acts as an activator of Pbac transcription. In contrast, an enhanced level of expression is observed in the absence of the lacticin 3147 structural genes, ltnA1 and ltnA2, indicating that these genes/gene products are involved in Pbac repression. In fact, through complementation of the ltnA2 gene, it was revealed that this regulation is more likely to be dependent on the presence of the gene transcript rather that the corresponding prepropeptide or modified Ltnβ. It may be that if lacticin 3147 production is successfully enhanced, the ability of the producing cell to protect itself may become an issue. To prepare for such a possibility a bioengineered derivative of the lacticin 3147 immunity protein LtnI (LtnI I81V) which provides enhanced protection was discovered through an in depth investigation involving the site and saturation mutagenesis of this protein. In addition, the creation of truncated forms of LtnI allowed the identification of important and essential regions of this immunity protein. Finally, as mentioned, self-immunity is essential to prevent self-killing. However the discovery of nisin U immunity and regulatory gene homologues (spiFEGRR’K) within the pathogenic strain S. infantarius subsp. infantarius is a cause for concern as it represents an example of immune mimicry, a form of lantibiotic-specific resistance. The ability of spiFEG to confer protection was apparent when they successfully provided protection to nisin A, F, Z, Q and U when expressed heterologously in the nisin sensitive L. lactis HP host. As a consequence of the studies presented in this thesis, it is likely that strategies will emerge that will facilitate the production of greater levels of lacticin 3147 production and lead to enhanced immunity in lactococcal backgrounds. Alternatively the need for enhanced production could be avoided through the use of antimicrobial combinations. In addition, providing awareness of the threats of the emergence of resistance through immune mimicry can allow researchers to develop strategies to prevent this phenomenon from leading to the dissemination of lantibiotic resistance.

Designing tools that enhance communication and understanding between multiple stakeholders: the case of mobile payment value networks

The pervasive use of mobile technologies has provided new opportunities for organisations to achieve competitive advantage by using a value network of partners to create value for multiple users. The delivery of a mobile payment (m-payment) system is an example of a value network as it requires the collaboration of multiple partners from diverse industries, each bringing their own expertise, motivations and expectations. Consequently, managing partnerships has been identified as a core competence required by organisations to form viable partnerships in an m-payment value network and an important factor in determining the sustainability of an m-payment business model. However, there is evidence that organisations lack this competence which has been witnessed in the m-payment domain where it has been attributed as an influencing factor in a number of failed m-payment initiatives since 2000. In response to this organisational deficiency, this research project leverages the use of design thinking and visualisation tools to enhance communication and understanding between managers who are responsible for managing partnerships within the m-payment domain. By adopting a design science research approach, which is a problem solving paradigm, the research builds and evaluates a visualisation tool in the form of a Partnership Management Canvas. In doing so, this study demonstrates that when organisations encourage their managers to adopt design thinking, as a way to balance their analytical thinking and intuitive thinking, communication and understanding between the partners increases. This can lead to a shared understanding and a shared commitment between the partners. In addition, the research identifies a number of key business model design issues that need to be considered by researchers and practitioners when designing an m-payment business model. As an applied research project, the study makes valuable contributions to the knowledge base and to the practice of management.

Molecular mechanisms underpinning IFN-gamma and TNF-alpha synergy in intestinal epithelial cells

Cytokine-driven signalling shapes immune homeostasis and guides inflammatory responses mainly through induction of specific gene expression programmes both within and outside the immune cell compartment. These transcriptional outputs are often amplified via cytokine synergy, which sets a stimulatory threshold that safeguards from exacerbated inflammation and immunopathology. In this study, we investigated the molecular mechanisms underpinning synergy between two pivotal Th1 cytokines, IFN-γ and TNF-α, in human intestinal epithelial cells. These two proinflammatory mediators induce a unique state of signalling and transcriptional synergy implicated in processes such as antiviral and antitumour immunity, intestinal barrier and pancreatic β-cell dysfunction. Since its discovery more than 30 years ago, this biological phenomenon remains, however, only partially defined. Here, using a functional genomics approach including RNAi perturbation screens and small-molecule inhibitors, we identified two new regulators of IFN-γ/TNF-α-induced chemokine and antiviral gene and protein expression, a Bcl-2 protein BCL-G and a histone demethylase UTX. We also discovered that IFN-γ/TNF-α synergise to trigger a coordinated shutdown of major receptor tyrosine kinases expression in colon cancer cells. Together, these findings extend our current understanding of how IFN-γ/TNF-α synergy elicits qualitatively and quantitatively distinct outputs in the intestinal epithelium. Given the well-documented role of this synergistic state in immunopathology of various disorders, our results may help to inform the identification of high quality and biologically relevant druggable targets for diseases characterised by an IFN-γ/TNF-α high immune signature

Quantifying the value of improved wind energy forecasts in a pool-based electricity market

This work illustrates the influence of wind forecast errors on system costs, wind curtailment and generator dispatch in a system with high wind penetration. Realistic wind forecasts of different specified accuracy levels are created using an auto-regressive moving average model and these are then used in the creation of day-ahead unit commitment schedules. The schedules are generated for a model of the 2020 Irish electricity system with 33% wind penetration using both stochastic and deterministic approaches. Improvements in wind forecast accuracy are demonstrated to deliver: (i) clear savings in total system costs for deterministic and, to a lesser extent, stochastic scheduling; (ii) a decrease in the level of wind curtailment, with close agreement between stochastic and deterministic scheduling; and (iii) a decrease in the dispatch of open cycle gas turbine generation, evident with deterministic, and to a lesser extent, with stochastic scheduling.