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Collagen II and the proteoglycan aggrecan are key extracellular matrix (ECM) proteins in cartilaginous tissues such as the intervertebral disc (IVD). Given the functional role that these structural and functional proteins have in the IVD, ECM in tissue engineered intervertebral disc (TE IVD) constructs needs to recapitulate native tissue. As such, there is a need to understand the structure and mechanical function of these molecules in native tissue to inform TE strategies. The aims here were to characterise aggrecan and collagen II using atomic force microscopy (AFM), size-exclusion chromatography multi angle light scattering (SEC-MALS), histology, quantitative PCR, nanomechanical and computational modelling in: (i) skeletally immature and mature bovine articular cartilage (AC) and nucleus pulposus (NP), (ii) TE IVD constructs cultured in hypoxia or treated with transforming growth factor beta [TGFÎ23] or growth differentiation factor [GDF6]), and (iii) porcine AC and NP tissue. No variation in collagen II structure was observed although the proportion of organised fibrillar collagen varied between tissues. Both intact (containing all three globular domains) and non-intact (fragmented) aggrecan monomers were isolated from both AC and IVD and TE IVD constructs. Mature intact native NP aggrecan was ~60 nm shorter (core protein length) compared to AC. In skeletally mature bovine NP and AC tissue, most aggrecan monomers were fragmented (99% and 95%, respectively) with fragments smaller and more structurally heterogeneous in NP. Similar fragmentation was observed in skeletally immature bovine AC (99.5%), indicating fragmentation occurs developmentally at an early age. Fragmentation was not a result of enhanced gelatinase activity. Aggrecan monomers isolated from notochordal cell rich porcine NP were also highly fragmented, similar to bovine NP. Application of a computational packing model suggested fragmentation may affect porosity and nutrient transfer. The reduced modulus was greater in AC than NP (497 kPa and 76.7 kPa, respectively) with the difference likely due to the organisation and abundance of ECM molecules, rather than individual structure. Growth factors (GDF6 and TGFÎ23), and not oxygen tension treated TE IVD constructs were structurally (with >95% fragmented monomers), histologically and mechanically (GDF6: 60.2 kPa; TGFÎ23; 69.9 kPa) similar to native NP tissue (76.7 kPa) and there was evidence of gelatinase activity. To conclude, these results show that the ultrastructure of intact aggrecan was tissue and cell dependent, and could be modified by manipulation of cell culture conditions, specifically GDF6 which may play a role in aggrecan glycosylation.

Xylella fastidiosa is a small, xylem-limited bacterium that causes a number of diseases in over 100 species of plants. Many of the species infected are economically important (such as coffee, grapevines, citrus, and almond) and billions of dollars worldwide are lost annually due to X. fastidiosa infection of crops. The bacterium colonises both plant and insect hosts, using the insect host to transfer it from plant to plant. Sequencing of the X. fastidiosa genome in 2000 discovered that while the genome is reduced, it contains a high number of putative bifunctional enzymes. One of these enzymes, aspartate kinase:diaminopimelate decarboxylase (AK:DapDc), occurs in only a handful of species and is predicted to catalyse the first and last steps of lysine biosynthesis. This study reports the first experimental characterisation of this enzyme. AK:DapDc was over-expressed in the pET30dSE plasmid in Escherichia coli BL21 DE3 cells. It was purified by Ni2+ His-Trap chromatography followed by size exclusion chromatography. Homology models of AK:DapDc were created in SWISS-MODEL, which indicate homology with the aspartate kinase from Arabidopsis thaliana and the diaminopimelate decarboxylase from E. coli. Circular dichroism, and analytical ultracentrifugation were used to obtain information about the secondary and quaternary structure of AK:DapDc. This data, in combination with the homology models, suggests that AK:DapDc exists as a dimer or tetramer in solution. A coupled enzyme assay to assay for diaminopimelate decarboxylase activity has been set up, and preliminary crystal screens have been carried out.

Protein based biopharmaceuticals are becoming increasingly popular therapeutic agents. Recent changes to the legislation governing stem cell technologies will allow many further developments in this field. Characterisation of these therapeutic proteins poses numerous analytical challenges. In this work we address several of the key characterisation problems; detecting glycosylation, monitoring conformational changes, and identifying contamination, using vibrational spectroscopy. Raman and infrared spectroscopies are ideal techniques for the in situ monitoring of bioprocesses as they are non-destructive, inexpensive, rapid and quantitative. We unequivocally demonstrate that Raman spectroscopy is capable of detecting glycosylation in three independent systems; ribonuclease (a model system), transferrin (a recombinant biopharmaceutical product), and GFP (a synthetically glycosylated system). Raman data, coupled with multivariate analysis, have allowed the discrimination of a glycoprotein and the equivalent protein, deglycosylated forms of the glycoprotein, and also different glycoforms of a glycoprotein. Further to this, through the use of PLSR, we have achieved quantification of glycosylation in a mixture of protein and glycoprotein. We have shown that the vibrational modes which are discriminatory in the monitoring of glycosylation are relatively consistent over the three systems investigated and that these bands always include vibrations assigned to structural changes in the protein, and sugar vibrations that are arising from the glycan component. The sensitivity of Raman bands arising from vibrations of the protein backbone to changes in conformation is evident throughout the work presented in this thesis. We used these vibrations, specifically in the amide I region, to monitor chemically induced protein unfolding. By comparing these results to fluorescence spectroscopy and other regions of the Raman spectrum we have shown that this new method provides improved sensitivity to small structural changes. Finally, FT-IR spectroscopy, in tandem with supervised machine learning methods, has been applied to the detection of protein based contaminants in biopharmaceutical products. We present a high throughput vibrational spectroscopic method which, when combined with appropriate chemometric modelling, is able to reliably classify pure proteins and proteins ‘spiked’ with a protein contaminant, in some cases at contaminant concentrations as low as 0.25%.

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