Disordered states of proteins include the biologically functional intrinsically disordered proteins and the unfolded states of folded proteins which are important for protein folding and stability. Just as solving the structures of folded proteins has been extremely valuable in understanding their functions and properties, obtaining a comprehensive understanding of the structural characteristics of disordered states at a molecular level is crucial. The focus of this thesis is on combining experimental data with computational methods in order to probe the structural characteristics of disordered states at a molecular level. I developed a new method that combines different chemical shifts into a single residue-specific secondary structure propensity (SSP) score which I used to compare fractional secondary structure in alpha- and gamma-synuclein. Significant differences between the two suggested that gamma-synuclein might be protected from fibrillation due to increased helical propensity. I also introduced a new method for calculating residual dipolar couplings (RDCs) from disordered state ensembles by calculating local alignment tensors for short protein fragments. Using this method, I was able to predict experimental RDCs from statistical coil models containing far fewer structures than when global alignment is used, demonstrating that RDCs in disordered proteins are primarily determined by local structure. Finally, I made major improvements to the ENSEMBLE program which is used for calculating structural models of disordered states. I utilized large amounts of experimental data in order to calculate ensemble models of the Drosophila drkN SH3 domain unfolded state. Although highly heterogeneous and having broad molecular size distributions, the calculated ensembles have very different properties than expected for random or statistical coils and possess significant non-native alpha-helical structure and both native-like and non-native tertiary structure. This has significant implications for our understanding of the structural properties of protein disordered states in general.

Disordered states of proteins include the biologically functional intrinsically disordered proteins and the unfolded states of folded proteins which are important for protein folding and stability. Just as solving the structures of folded proteins has been extremely valuable in understanding their functions and properties, obtaining a comprehensive understanding of the structural characteristics of disordered states at a molecular level is crucial. The focus of this thesis is on combining experimental data with computational methods in order to probe the structural characteristics of disordered states at a molecular level. I developed a new method that combines different chemical shifts into a single residue-specific secondary structure propensity (SSP) score which I used to compare fractional secondary structure in alpha- and gamma-synuclein. Significant differences between the two suggested that gamma-synuclein might be protected from fibrillation due to increased helical propensity. I also introduced a new method for calculating residual dipolar couplings (RDCs) from disordered state ensembles by calculating local alignment tensors for short protein fragments. Using this method, I was able to predict experimental RDCs from statistical coil models containing far fewer structures than when global alignment is used, demonstrating that RDCs in disordered proteins are primarily determined by local structure. Finally, I made major improvements to the ENSEMBLE program which is used for calculating structural models of disordered states. I utilized large amounts of experimental data in order to calculate ensemble models of the Drosophila drkN SH3 domain unfolded state. Although highly heterogeneous and having broad molecular size distributions, the calculated ensembles have very different properties than expected for random or statistical coils and possess significant non-native alpha-helical structure and both native-like and non-native tertiary structure. This has significant implications for our understanding of the structural properties of protein disordered states in general.

Yes / Tumour hypoxia is associated with poor patient prognosis and therapy resistance. A unique transcriptional response is initiated by hypoxia which includes the rapid activation of numerous transcription factors in a background of reduced global transcription. Here, we show that the biological response to hypoxia includes the accumulation of R-loops and the induction of the RNA/DNA helicase SETX. In the absence of hypoxia-induced SETX, R-loop levels increase, DNA damage accumulates, and DNA replication rates decrease. Therefore, suggesting that, SETX plays a role in protecting cells from DNA damage induced during transcription in hypoxia. Importantly, we propose that the mechanism of SETX induction in hypoxia is reliant on the PERK/ATF4 arm of the unfolded protein response. These data not only highlight the unique cellular response to hypoxia, which includes both a replication stress-dependent DNA damage response and an unfolded protein response but uncover a novel link between these two distinct pathways. / SR, KBL, PV and MH were supported by a CRUK grant C5255/A23755 (awarded to E.M.H.). N.N. was supported by an MRC studentship (MC_ST_U16007). I. P.F. was supported by CRUK Oxford Centre Prize DPhil Studentship C38302/A12981. N.G. was supported by a Royal Society University Research fellowship. W.-C.C. was funded by CRUK grant 23969 (awarded to F.M.B.). S.F.E.-K. was supported by a Wellcome Trust Investigator Award (103844) and a Lister Institute of Preventative Medicine Fellowship (137661). J.G. was supported by a Jean Shanks Foundation/ Pathological Society of Great Britain and Ireland Clinical PhD Fellowship (JSPS CPhD 2018 01).

Perturbations that derail the proper folding and assembly of proteins in the endoplasmic retriculum (ER) cause misfolded protein accrual in the ER – a toxic condition known as ER stress. The Unfolded Protein Response (UPR) is a signaling system evolved to detect and rectify ER stress. The work I present herein pertains to the most ancient member of the ER stress transducers, IRE1. ER stress stimulates IRE1 to activate a UPR-dedicated transcription factor called XBP1 in metazoans (or HAC1 in yeast) to bolster the productive capacity of the ER and purge misfolded proteins from the ER. To activate XBP1/HAC1, IRE1 cleaves XBP1/HAC1 mRNA twice to eliminate an inhibitory intron using a dormant nuclease function in its cytoplasmic effector region (IRE1cyto). My focus was to understand the mechanism of XBP1/HAC1 activation by IRE1, the regulation of IRE1 function and the manipulation of IRE1 signaling output using chemical tools. To better understand IRE1 mechanism, I determined the crystal structure of IRE1cyto bound to ADP. Structural and mutational analyses uncovered a probable novel IRE1 nuclease active site, allowing a catalytic mechanism of RNA cleavage to be inferred. Further genetic and biophysical experiments revealed that the ordered sequence of events: autophosphorylation, nucleotide binding and dimerization; orchestrates the assembly of the IRE1 nuclease active site to potentiate nuclease function. The flavanol quercetin was identified in a chemical screen as a potent stimulator of IRE1 nuclease output. To understand the mechanism of action of quercetin, I determined the crystal structure of IRE1cyto in complex with quercetin and ADP. Quercetin docked to a novel ligand binding site, termed the Q-site, at the interface of IRE1 dimers. Biophysical and genetic analyses revealed that quercetin engagement of the Q-site promotes IRE1 dimerization, thereby enhancing IRE1 nuclease activity. To gain insight on how IRE1 recognizes RNA, I performed bioinformatic analysis to identify a conserved sequence element in XBP1/HAC1 mRNA (termed XBP1mini) that may compose a higher-order structure recognized by IRE1. I developed an RNA production scheme to generate XBP1mini RNA for structural and biophysical studies. Preliminary X-ray diffraction studies indicate that XBP1mini may indeed adopt an ordered crystallizable tertiary structure.

Perturbations that derail the proper folding and assembly of proteins in the endoplasmic retriculum (ER) cause misfolded protein accrual in the ER – a toxic condition known as ER stress. The Unfolded Protein Response (UPR) is a signaling system evolved to detect and rectify ER stress. The work I present herein pertains to the most ancient member of the ER stress transducers, IRE1. ER stress stimulates IRE1 to activate a UPR-dedicated transcription factor called XBP1 in metazoans (or HAC1 in yeast) to bolster the productive capacity of the ER and purge misfolded proteins from the ER. To activate XBP1/HAC1, IRE1 cleaves XBP1/HAC1 mRNA twice to eliminate an inhibitory intron using a dormant nuclease function in its cytoplasmic effector region (IRE1cyto). My focus was to understand the mechanism of XBP1/HAC1 activation by IRE1, the regulation of IRE1 function and the manipulation of IRE1 signaling output using chemical tools. To better understand IRE1 mechanism, I determined the crystal structure of IRE1cyto bound to ADP. Structural and mutational analyses uncovered a probable novel IRE1 nuclease active site, allowing a catalytic mechanism of RNA cleavage to be inferred. Further genetic and biophysical experiments revealed that the ordered sequence of events: autophosphorylation, nucleotide binding and dimerization; orchestrates the assembly of the IRE1 nuclease active site to potentiate nuclease function. The flavanol quercetin was identified in a chemical screen as a potent stimulator of IRE1 nuclease output. To understand the mechanism of action of quercetin, I determined the crystal structure of IRE1cyto in complex with quercetin and ADP. Quercetin docked to a novel ligand binding site, termed the Q-site, at the interface of IRE1 dimers. Biophysical and genetic analyses revealed that quercetin engagement of the Q-site promotes IRE1 dimerization, thereby enhancing IRE1 nuclease activity. To gain insight on how IRE1 recognizes RNA, I performed bioinformatic analysis to identify a conserved sequence element in XBP1/HAC1 mRNA (termed XBP1mini) that may compose a higher-order structure recognized by IRE1. I developed an RNA production scheme to generate XBP1mini RNA for structural and biophysical studies. Preliminary X-ray diffraction studies indicate that XBP1mini may indeed adopt an ordered crystallizable tertiary structure.

The regulation of protein synthesis and protein folding is crucial for normal cell function. The endoplasmic reticulum (ER) has crucial roles in safeguarding the correct folding and assembling of proteins through the use of ER molecular chaperones. Homeostasis disruption of the ER leads to activation of the Unfolded Protein Response. The UPR is a three-arm pathway that plays a role in regulating ER stress and ultimately leads to cell survival or cell death if the cell fails to recover. There are three major proteins for sensing Endoplasmic Reticulum stress: RNA dependent protein kinase RNA like endoplasmic reticulum kinase (PERK), activating transcription factor 6 (ATF6), and inositol-requiring ER-to-nucleus signal kinase 1 (IRE1). PERK activation leads to the phosphorylation of the α-subunit of the translation initiation factor eIF2α on Serine 51 in activating its function. EIF2α phosphorylation leads to up-regulation of GADD34 and GADD34 bind protein phosphatase 1 (PP1) to dephosphorylate eIF2α and brings the cell back into homeostasis. CReP, similar to GADD34, binds to PP1, to dephosphorylate eIF2α. The RVxF motif, RARA sequence, and amino acids throughout the GADD34 sequence play a role in PP1 binding and are essential for dephosphorylating eIF2α in cells. The first 180 amino acids of GADD34 play a role in subcellular localization whereas the first 300 amino acids of CReP play a role for localization to the ER. Early on in the UPR the levels of binding immunoglobulin protein (BiP), CHOP, GADD34, and CReP increase; however, the mRNA levels of CReP drop during the 24-HR Thapsigargin treated stage. Two primary proteins that bind CReP were COPS5 and SNAPIN. Understanding the UPR is important because the inhibiting of GADD34 and CReP have been shown to improve many neurodegenerative diseases.

>Magister Scientiae - MSc / Bioethanol is currently the most widely used biofuel and can be used as a direct replacement for current fossil fuel based transportation fuels. Consolidated bioprocessing (CBP), in which bioethanol is produced in a single reactor by a single microorganism, is a cost-effective way of producing bioethanol in a second generation process using lignocellulosic biomass as feedstock. The yeast Saccharomyces cerevisiae possesses industrially desirable traits for ethanol production and is able to produce heterologous cellulases, which are required for CBP. However, S. cerevisiae produces low titres of cellulases and one suspected reason for this is the stress caused by the heterologous proteins that induce the unfolded protein response (UPR). The UPR is a stress response pathway that will either lead to increased folding capacity within the ER or to degradation of these proteins and possibly apoptosis of the cell. It is thus beneficial to be able to determine when and to what extent the UPR is active during CBP organism development. Current methods of measuring the UPR include RNA and reverse transcriptase qPCR (r.t.qPCR) measurements, which can be cumbersome and expensive. The purpose of this study was to develop a vector based biosensor that will detect and quantify UPR activation. The vector consisted of either the T.r.xyn2 or eGFP reporter genes under the control of the S. cerevisiae HAC1p or KAR2p promoters. HAC1 and KAR2 are important regulators of UPR as their activation allows the UPR to achieve its function. The eGFP reporter under the transcriptional control of KAR2p was shown to be the superior combination due to the improved dynamic range when the UPR was induced in transformed S. cerevisiae strains by the stress inducer, tunicamycin. This UPR biosensor also proved to be more sensitive when measuring UPR induction in cellulase producing strains, depicting significant differences, compared to previous r.t.qPCR based tests which were unable to detect these differences. We thus developed a UPR biosensor that has greater sensitivity for changes in UPR induction compared to RNA based methods and the first KAR2p based UPR biosensor plasmid that allowed for more accurate detection and measurement of the UPR in cellulase secreting S. cerevisiae strains. The ability to quantify UPR induction will assist in identifying candidate cellulase genes that do not greatly induce the UPR, making them ideal to use in developing CBP yeasts.

The unfolded protein response (UPR) is a complex signalling pathway activated in response to endoplasmic reticulum stress. In recent years, the UPR has been implicated in cancer and chemosensitivity, particularly in solid tumours. This thesis investigated the potential value of targeting the UPR as a novel therapeutic approach in haematological malignancies using a panel of cell lines representing AML, lymphoma and myeloma. The UPR was constitutively active in these haematological cancer cell lines, with differential activation of key UPR proteins both in the panel and between the panel, peripheral blood mononuclear cells and the colorectal cancer cell line HT-29. A number of strategies were used to modulate the UPR and study chemosensitivity. Minimally toxic concentrations of the ER stress inducer thapsigargin protected cells from cytotoxic agents, with a reduction in antiproliferative drug effect. The activity of the novel small molecule versipelostatin, reported to downregulate the ER molecular chaperones GRP78 and GRP94, was also investigated, with the downregulation previously reported in solid tumour cell lines (Park et al. 2004) confirmed in HT-29 cells, but not observed in the haematological cell lines studied (although versipelostatin was an effective cytotoxic agent at low micromolar concentration). Combination experiments with the chemical chaperone 4-phenylbutyric acid (PBA) resulted in a small increase in apoptosis when PBA was combined with ER stress inducers. However, PBA also showed HDAC inhibitory activity at the concentrations used. Finally, siRNA mediated silencing of GRP78 and GRP94 in THP1 (AML) and U266 (myeloma) cells resulted in a decrease in the targeted protein, but showed only minimal effects on chemosensitivity. In conclusion, the UPR is activated in these haematological cancer cell lines and plays a complex role in chemosensitivity. In contrast to previous reports in solid tumour cells, modulating the UPR in these haematological malignancies had only a modest effect on chemosensitivity.

The unfolded protein response (UPR) is a cellular mechanism whose primary functions are to sense perturbations in the protein-folding capacity of the endoplasmic reticulum and to take corrective steps to restore homeostasis. Although the UPR is conserved across all eukaryotic cells, it is considerably more complex in mammalian cells, due to the presence of three interconnected pathways triggered by separate sensor proteins, a translation attenuation mechanism, and a negative feedback loop. The mechanisms of these interacting biochemical pathways in the mammalian UPR allow for a better fine-tuning of the response than in the case of lower eukaryotes, such as yeasts. The present thesis develops a quantitative mathematical model for the dynamics of the UPR in mammalian cells, which incorporates all the proteins and interactions between them that are known to play a role in this response. This model can be used to provide quantitative information about the levels of its components throughout the response, and to analyze the ramifications of perturbations of the UPR. The model uses a system of ordinary nonlinear differential equations based on biochemical rate equations to describe the dynamics of the UPR as a network of interacting proteins and mRNAs. An early model is presented as a first attempt to investigate the UPR network and construct an inclusive wiring diagram, as well as suggesting a framework to model the differential equations. Then, a refined, quantitative model is designed based on experimental data collected on Mouse Embryonic Fibroblasts treated with Thapsigargin to induce stress and trigger the UPR. The model defines the differential equations and determines the unknown kinetic parameters by optimizing the fit of the system's solution to the experimental data. It includes the UPR's intrinsic feedback loops and allows for the integration of various forms of external stress signals. To the best of our knowledge, it is the first, data-validated, quantitative model in the literature for the UPR in mammalian cells. The last chapters of the thesis address, from a modeling point of view, two important questions for the UPR: (1) cell survival versus apoptosis; and (2) incompleteness of the biological wiring diagram. Recent experimental results show that the UPR is capable of producing qualitatively different results leading to cell survival or death depending on the nature, strength, and persistence of the inducing stress. This thesis proposes several approaches by which the equations can be modified to model the transition from adaptation to apoptosis as a dynamic switch, while taking into account the various hypotheses of cell death mechanisms. Finally, we use recently-developed computational algebra techniques to infer an optimal structure of the UPR network, based solely on the experimental data; the resulting wiring diagram provides insights on elements of the structure of the model that may have been overlooked during the classical (mechanistic) approach to our original data-based model.

Background: Insulin is a hormone released by the pancreatic beta cells in response to elevated levels of nutrients in the blood. Insulin triggers the uptake of glucose, fatty acids and amino acids into the liver, adipose tissue and muscles. Genes regulating insulin signalling are thus of vital importance for metabolic homeostasis and for preventing the development of diabetes. This thesis aims to identify new modifiers of insulin signalling, while carrying out functional studies of a homolog to human arsenite translocating ATPase, ASNA1. ASNA1 activates the insulin signalling pathway and promotes insulin secretion in mammalian cell lines and in Caenorhabditis elegans. A second aim is to better understand how ASNA1 and its interactors regulate sensitivity to the chemotherapeutic drug, cisplatin. Results: Regulators of insulin/IGF signalling (IIS) in C. elegans were identified based on the Larval arrest arrest aspect of the asna-1 depletion phenotype. Sixty-five genes were selected by virtue of their predicted interaction with ASNA-1 and screened for asna-1-like larval arrest upon inactivation of the genes . mrps-2, mrps-10, mrpl-43 encoding mitochondrial ribosomal protein subunits, and enpl-1 encoding an ER chaperone, GRP94 homolog were identified as the genes which when inactivated caused larval arrest without any associated feeding defects. IIS was weaker and insulin secretion was defective in these knockdown animals. ENPL-1 and ASNA-1 proteins interacted with one another both ex vivo and in vitro. ASNA-1 protein and mRNA level swere greatly reduced in enpl-1 mutants and enpl-1(-);asna-1(-) double-mutant worms displayed synthetic lethality. Overexpression of the insulins INS-4 and DAF-28 caused partial rescue of the germline phenotype of enpl-1 mutants, indicating that the phenotype of enpl-1 mutants was due at least in part to insufficient insulin levels. Studies of enpl-1 mutants also helped to understand the role of asna-1 in cisplatin sensitivity. The unfolded protein response (UPR) was induced in asna-1 and enpl-1 knockdown animals. enpl-1 mutants displayed higher sensitivity to cisplatin, when compared to asna-1 mutants and this correlated to higher UPR in enpl-1 knockdown animals. Pharmacological induction of the UPR in intrinsically cisplatin resistant wildtype worms also resulted in increased cisplatin sensitivity. This suggests that manipulation of ENPL-1 levels or of the UPR could enhance the anti-tumoral effects of cisplatin based cancer therapy. With a yeast two hybridscreen 27 putative physical interactors of ASNA-1 were identified. Amongst these candidate swas smn-1, which encodes survival of motor neuron protein homolog. RNAi knockdown of smn-1 caused a larval arrest phenotype similar to asna-1 depleted animals and smn-1 positively regulated IIS, like asna-1. Defects in IIS may be at the level of insulin release because neuropeptide secretion was impaired upon smn-1 knockdown. Further in vitro binding studies showed that SMN-1 and ASNA-1 interacted and inactivation of smn-1 in asna-1 mutants resulted in decreased viability. This implies that SMN-1 is another modifier of ASNA-1 and also a new component in IIS. Conclusion: With a directed RNAi screen and a yeast two hybrid screen several interactors of ASNA-1 that are also IIS modifiers were identified. ENPL-1 and SMN-1 are both involved in insulin release. We also found that induction of the UPR in enpl-1 and asna-1 mutants is a possible mechanism for increased sensitivity to cisplatin.