Genetic medicines for CF: hype versus reality

Since identification of the CFTR gene over 25 years ago, gene therapy for cystic fibrosis (CF) has been actively developed. More recently gene therapy has been joined by other forms of “genetic medicines” including mRNA delivery, as well as genome editing and mRNA repair-based strategies. Proof-of-concept that gene therapy can stabilize the progression of CF lung disease has recently been established in a Phase IIb trial. An early phase study to assess the safety and explore efficacy of CFTR mRNA repair is ongoing, while mRNA delivery and genome editing-based strategies are currently at the pre-clinical phase of development. This review has been written jointly by some of those involved in the various CF “genetic medicine” fields and will summarize the current state-of-the-art, as well as discuss future developments. Where applicable, it highlights common problems faced by each of the strategies, and also tries to highlight where a specific strategy may have an advantage on the pathway to clinical translation. We hope that this review will contribute to the ongoing discussion about the hype versus reality of genetic medicine-based treatment approaches in CF.

Genetic analysis of bacteriophages from clinical and environmental samples

Bacteriophages, viruses infecting bacteria, are uniformly present in any location where there are high numbers of bacteria, both in the external environment and the human body. Knowledge of their diversity is limited by the difficulty to culture the host species and by the lack of the universal marker gene present in all viruses. Metagenomics is a powerful tool that can be used to analyse viral communities in their natural environments. The aim of this study was to investigate diverse populations of uncultured viruses from clinical (a sputum of patient with cystic fibrosis, CF) and environmental samples (a sludge from a dairy food wastewater treatment plant) containing rich bacterial populations using genetic and metagenomic analyses. Metagenomic sequencing of viruses obtained from these samples revealed that the majority of the metagenomic reads (97-99%) were novel when compared to the NCBI protein database using BLAST. A large proportion of assembled contigs were assignable as novel phages or uncharacterised prophages, the next largest assignable group being single-stranded eukaryotic virus genomes. Sputum from a cystic fibrosis patient contained DNA typical of phages of bacteria that are traditionally involved in CF lung infections and other bacteria that are part of the normal oral flora. The only eukaryotic virus detected in the CF sputum was Torque Teno virus (TTV). A substantial number of assigned sequences from dairy wastewater could be affiliated with phages of bacteria that are typically found in the soil and aquatic environments, including wastewater. Eukaryotic viral sequences were dominated by plant pathogens from the Geminiviridae and Nanoviridae families, and animal pathogens from the Circoviridae family. Antibiotic resistance genes were detected in both metagenomes suggesting phages could be a source for transmissible antimicrobial resistance. Overall, diversity of viruses in the CF sputum was low, with 89 distinct viral genotypes predicted, and higher (409 genotypes) in the wastewater. Function-based screening of a metagenomic library constructed from DNA extracted from dairy food wastewater viruses revealed candidate promoter sequences that have ability to drive expression of GFP in a promoter-trap vector in Escherichia coli. The majority of the cloned DNA sequences selected by the assay were related to ssDNA circular eukaryotic viruses and phages which formed a minority of the metagenome assembly, and many lacked any significant homology to known database sequences. Natural diversity of bacteriophages in wastewater samples was also examined by PCR amplification of the major capsid protein sequences, conserved within T4-type bacteriophages from Myoviridae family. Phylogenetic analysis of capsid sequences revealed that dairy wastewater contained mainly diverse and uncharacterized phages, while some showed a high level of similarity with phages from geographically distant environments.

Cystic fibrosis gene repair: correction of ΔF508 using ZFN and CRISPR/Cas9 guide RNA gene editing tools

Cystic Fibrosis (CF) is an autosomal recessive monogenic disorder caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene with the ΔF508 mutation accounting for approximately 70% of all CF cases worldwide. This thesis investigates whether existing zinc finger nucleases designed in this lab and CRISPR/gRNAs designed in this thesis can mediate efficient homology-directed repair (HDR) with appropriate donor repair plasmids to correct CF-causing mutations in a CF cell line. Firstly, the most common mutation, ΔF508, was corrected using a pair of existing ZFNs, which cleave in intron 9, and the donor repair plasmid pITR-donor-XC, which contains the correct CTT sequence and two unique restriction sites. HDR was initially determined to be <1% but further analysis by next generation sequencing (NGS) revealed HDR occurred at a level of 2%. This relatively low level of repair was determined to be a consequence of distance from the cut site to the mutation and so rather than designing a new pair of ZFNs, the position of the existing intron 9 ZFNs was exploited and attempts made to correct >80% of CF-causing mutations. The ZFN cut site was used as the site for HDR of a mini-gene construct comprising exons 10-24 from CFTR cDNA (with appropriate splice acceptor and poly A sites) to allow production of full length corrected CFTR mRNA. Finally, the ability to cleave closer to the mutation and mediate repair of CFTR using the latest gene editing tool CRISPR/Cas9 was explored. Two CRISPR gRNAs were tested; CRISPR ex10 was shown to cleave at an efficiency of 15% and CRISPR in9 cleaved at 3%. Both CRISPR gRNAs mediated HDR with appropriate donor plasmids at a rate of ~1% as determined by NGS. This is the first evidence of CRISPR induced HDR in CF cell lines.

An investigation on the use of SNR distributions for the optimisation of coarse-fine spectrum sensing for cognitive radio

This thesis investigates the optimisation of Coarse-Fine (CF) spectrum sensing architectures under a distribution of SNRs for Dynamic Spectrum Access (DSA). Three different detector architectures are investigated: the Coarse-Sorting Fine Detector (CSFD), the Coarse-Deciding Fine Detector (CDFD) and the Hybrid Coarse-Fine Detector (HCFD). To date, the majority of the work on coarse-fine spectrum sensing for cognitive radio has focused on a single value for the SNR. This approach overlooks the key advantage that CF sensing has to offer, namely that high powered signals can be easily detected without extra signal processing. By considering a range of SNR values, the detector can be optimised more effectively and greater performance gains realised. This work considers the optimisation of CF spectrum sensing schemes where the security and performance are treated separately. Instead of optimising system performance at a single, constant, low SNR value, the system instead is optimised for the average operating conditions. The security is still provided such that at the low SNR values the safety specifications are met. By decoupling the security and performance, the system’s average performance increases whilst maintaining the protection of licensed users from harmful interference. The different architectures considered in this thesis are investigated in theory, simulation and physical implementation to provide a complete overview of the performance of each system. This thesis provides a method for estimating SNR distributions which is quick, accurate and relatively low cost. The CSFD is modelled and the characteristic equations are found for the CDFD scheme. The HCFD is introduced and optimisation schemes for all three architectures are proposed. Finally, using the Implementing Radio In Software (IRIS) test-bed to confirm simulation results, CF spectrum sensing is shown to be significantly quicker than naive methods, whilst still meeting the required interference probability rates and not requiring substantial receiver complexity increases.

Characterising novel anti-biofilm targets for the treatment of chronic Pseudomonas aeruginosa infection in the cystic fibrosis lung

The global rise in antibiotic resistance is a significant problem facing healthcare professionals. In particular within the cystic fibrosis (CF) lung, bacteria can establish chronic infection and resistance to a wide array of antibiotic therapies. One of the principle pathogens associated with chronic infection in the CF lung is Pseudomonas aeruginosa. P. aeruginosa can establish chronic infection in the CF lung partly through the use of the biofilm mode of growth. This biofilm mode of growth offers a considerable degree of protection from a wide variety of challenges such as the host immune system or antibiotic therapy. The threat posed by the emergence of chronic pathogens is prompting the development of next generation antimicrobials. The biofilm mode of growth is often central to the establishment of chronic infection and the development of antibiotic resistance. Thus, targeting biofilm formation has emerged as one of the principle strategies for the development of next generation antimicrobials. In this thesis two separate approaches were used to identify potential anti - biofilm targets. The first strategy focused on the identification of novel genes with a role in a biofilm formation. High throughput screening identified almost 300 genes which had a role in biofilm formation. A number of these genes were characterised at a phenotypic and a molecular level. The second strategy focused on the identification of compounds capable of inhibiting biofilm formation. A collection of marine sponge isolated bacteria were screened for the ability to inhibit the central pathway regulating biofilm formation, quorum sensing. A number of distinct isolates were identified that had quorum sensing inhibition activity from which, a Pseudomonas isolate was selected for further characterisation. A specific compound capable of inhibiting quorum sensing was identified using chemical analytical technologies in the supernatant of this marine isolate.

The role of bacterial interspecies communication in polymicrobial infection of the cystic fibrosis lung

There is an increasing appreciation of the polymicrobial nature of bacterial infections associated with Cystic Fibrosis (CF) and of the important role for interactions in influencing bacterial virulence and response to therapy. Patients with CF are co-infected with Pseudomonas aeruginosa, Burkholderia cenocepacia and Stenotrophomonas maltophilia. These latter bacteria produce signal molecules of the diffusible signal factor (DSF) family, which are cis-2-unsaturated fatty acids. Previous studies showed that DSF from S. maltophilia leads to altered biofilm formation and increased tolerance to antibiotics in P. aeruginosa and that these responses require the P. aeruginosa sensor kinase PA1396. The work in this thesis aims of further elucidate the influence and mechanism of DSF signalling on P. aeruginosa and examine the role that such interspecies signalling play in infection of the CF airway. Next generation sequencing technologies targeting the 16S ribosomal RNA gene were applied to DNA and RNA isolated from sputum taken from cohorts of CF and non-CF subjects to characterise the bacterial community. In parallel, metabolomics analysis of sputum provided insight into the environment of the CF airway. This analysis revealed a number of observations including; that differences in metabolites occur in sputum taken from clinically stable CF patients and those with exacerbation and DNA- and RNA-based methods suggested that a strong relationship existed between the abundance of specific strict anaerobes and fluctuations in the level of metabolites during exacerbation. DSF family signals were also detected in the sputum and a correlation with the presence of DSFproducing organisms was observed. To examine the signal transduction mechanisms used by P. aeruginosa, bioinformatics with site directed mutagenesis were employed to identify signalling partners for PA1396. A pathway suggesting a role for a number of proteins in the regulation of several factors following DSF recognition by PA1396 were observed.

Novel insights into the expression and function of p38δ MAPK in oesophageal squamous cell carcinoma

Oesophageal cancer is an aggressive malignancy which is resistant to conventional therapy and has a poor prognosis. A greater understanding of the underlying molecular biology of oesophageal cancer and the identification of novel targets is necessary for the future treatment of this disease. This thesis focuses specifically on the ill-defined and understudied p38δ mitogen-activated protein kinase (MAPK) and its function(s) in oesophageal squamous cell carcinoma (OESCC). In contrast to the three other p38 isoforms (p38α, -β and –γ which have to-date been relatively well-studied), p38δ MAPK signalling is poorly understood. Thus, this research elucidates some of the role(s) played by p38δ MAPK in cancer progression. This work outlines how loss of p38δ MAPK expression confers greater tumourigenicity in oesophageal cancer. Restoration of p38δ MAPK expression, however, has anti-proliferative and anti-migratory effects and decreases OESCC capacity for anchorageindependent growth. Using a novel application of an enzyme-substrate fusion approach, the effect of phosphorylated p38δ (p-p38δ) MAPK expression is also considered. The work goes onto describe the effect(s) of p38δ MAPK status on the chemosensitivity of OESCC to conventional cisplatin and 5-fluorouracil (CF) versus the effectiveness of doxorubicin, cisplatin and 5-fluorouracil (ACF). ACF treatment of p38δ MAPK-negative OESCC results in decreased proliferation, migration and recovery, and increased apoptosis when compared with CF treatment. This thesis examines the potential mechanisms by which p38δ MAPK expression is lost in OESCC and identifies epigenetic regulation as the probable cause of differential p38δ MAPK expression. Also analysed is the role p38δ MAPK and p-p38δ MAPK play in the cell cycle. In summary, this research identifies p38δ MAPK as a possible molecular target and a potential predictor of response to chemotherapy in OESCC patients.