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- Member of: ASU Electronic Theses and Dissertations
Description
Non-alcoholic fatty liver disease occurs when triglycerides are stored in the liver leading to irreversible scarring and damage of liver tissue. Inside the liver, adipose triglyceride lipase is responsible for the breaking down of triglycerides and is regulated by the inhibitor g0/g1 switch gene 2 (G0S2). G0S2 is proposed to be one of the targets against drug design for non-alcoholic fatty liver disease, and more information is needed on the structure of this protein to aid in drug discovery. Here I describe the expression of G0S2 in an E. coli system as well as purification and biophysical characterization of a functional G0S2 in amounts viable for solution state Nuclear Magnetic Resonance (NMR) spectroscopy. Initial spectra of the isotopically labeled protein show well dispersed 15N resonance lines, clean 13C resonances, and dominant a-helices characteristics. These results show that a prepared G0S2 construct is suitable for solution NMR such that 20 amino acids are now assigned in the G0S2 portion of the protein, allowing for further NMR work with this protein for structural discovery. Further work with a large oligomeric complex of G0S2 with Maltose Binding Protein also shows promise for future cryo-EM work.
ContributorsMoran, Michael William (Author) / Fromma, Petra (Thesis advisor) / Guo, Jia (Committee member) / Liu, Wei (Committee member) / Arizona State University (Publisher)
Created2020
Description
Borrelia burgdorferi (Bb), the causative agent of Lyme disease, is a unique pathogen, with a complex genome and unique immune evasion tactics. It lacks genes encoding proteins involved in nutrient synthesis and typical metabolic pathways, and therefore relies on the host for nutrients. The Bb genome encodes both an unusually high number of predicted outer surface lipoproteins of unknown function but with multiple complex roles in pathogenesis, and an unusually low number of predicted outer membrane proteins, given the necessity of bringing in the required nutrients for pathogen survival. Cellular processing of bacterial membrane proteins is complex, and structures of proteins from Bb have all been solved without the N-terminal signal sequence that directs the protein to proper folding and placement in the membrane. This dissertation presents the first membrane-directed expression in E. coli of several Bb proteins involved in the pathogenesis of Lyme disease. For the first time, I present evidence that the predicted lipoprotein, BBA57, forms a large alpha-helical homo-multimeric complex in the OM, is soluble in several detergents, and purifiable. The purified BBA57 complex forms homogeneous, 10 nm-diameter particles, visible by negative stain electron microscopy. Two-dimensional class averages from negative stain images reveal the first low-resolution particle views, comprised of a ring of subunits with a plug on top, possibly forming a porin or channel. These results provide the first evidence to support our theories that some of the predicted lipoproteins in Bb form integral-complexes in the outer membrane, and require proper membrane integration to form functional proteins.
ContributorsRobertson, Karie (Author) / Hansen, Debra T. (Thesis advisor) / Fromme, Petra (Thesis advisor) / Van Horn, Wade (Committee member) / Chiu, Po-Lin (Committee member) / Arizona State University (Publisher)
Created2020
Description
G protein-coupled receptors (GPCRs) are known to be modulated by membrane cholesterol levels, but whether or not the effects are caused by specific receptor-cholesterol interactions or cholesterol’s general effects on the membrane is not well-understood. Results from coarse-grained molecular dynamics (CGMD) simulations coupled and structural bioinformatics offer new insights into how cholesterol modulates GPCR function by showing cholesterol interactions with β2AR that agree with previously published data. Additionally, differential and specific cholesterol binding in the CCK receptor subfamily was observed while revealing a previously unreported Cholesterol Recognition Amino-acid Consensus (CRAC) sequence that is also conserved across 38% of class A GPCRs. Mutation of this conserved CRAC sequence of the β2AR affects cholesterol stabilization of the receptor in a lipid bilayer. Serial femtosecond crystallography (SFX) with X-ray free electron lasers (XFELs) has proven highly successful for structure determination of challenging membrane proteins crystallized in lipidic cubic phase, however, as most techniques, it has limitations. Using an optimized SFX experimental setup in a helium atmosphere we determined the room temperature structure of the adenosine A2A receptor (A2AAR) at 2.0 Å resolution and compared it with previous A2AAR structures determined in vacuum and/or at cryogenic temperatures. Specifically, we demonstrated the capability of utilizing high XFEL beam transmissions, in conjunction with a high dynamic range detector, to collect high-resolution SFX data while reducing crystalline material consumption and shortening the collection time required for a complete data set.
The results of these studies provide a better understanding of receptor-cholesterol interactions that can contribute to novel and improved therapeutics for a variety of diseases. Furthermore, the experimental setups presented herein can be applied to future molecular dynamics and SFX applications for protein nanocrystal samples to aid in structure-based discovery efforts of therapeutic targets that are difficult to crystallize.
The results of these studies provide a better understanding of receptor-cholesterol interactions that can contribute to novel and improved therapeutics for a variety of diseases. Furthermore, the experimental setups presented herein can be applied to future molecular dynamics and SFX applications for protein nanocrystal samples to aid in structure-based discovery efforts of therapeutic targets that are difficult to crystallize.
ContributorsGeiger, James (Author) / Liu, Wei (Thesis advisor) / Mills, Jeremy (Committee member) / Chiu, Po-Lin (Committee member) / Arizona State University (Publisher)
Created2020
Description
RNA aptamers adopt tertiary structures that enable them to bind to specific ligands. This capability has enabled aptamers to be used for a variety of diagnostic, therapeutic, and regulatory applications. This dissertation focuses on the use RNA aptamers in two biological applications: (1) nucleic acid diagnostic assays and (2) scaffolding of enzymatic pathways. First, sensors for detecting arbitrary target RNAs based the fluorogenic RNA aptamer Broccoli are designed and validated. Studies of three different sensor designs reveal that toehold-initiated Broccoli-based aptasensors provide the lowest signal leakage and highest signal intensity in absence and in presence of the target RNA, respectively. This toehold-initiated design is used for developing aptasensors targeting pathogens. Diagnostic assays for detecting pathogen nucleic acids are implemented by integrating Broccoli-based aptasensors with isothermal amplification methods. When coupling with recombinase polymerase amplification (RPA), aptasensors enable detection of synthetic valley fever DNA down to concentrations of 2 fM. Integration of Broccoli-based aptasensors with nucleic acid sequence-based amplification (NASBA) enables as few as 120 copies/mL of synthetic dengue RNA to be detected in reactions taking less than three hours. Moreover, the aptasensor-NASBA assay successfully detects dengue RNA in clinical samples. Second, RNA scaffolds containing peptide-binding RNA aptamers are employed for programming the synthesis of nonribosomal peptides (NRPs). Using the NRP enterobactin pathway as a model, RNA scaffolds are developed to direct the assembly of the enzymes entE, entB, and entF from E. coli, along with the aryl-carrier protein dhbB from B. subtilis. These scaffolds employ X-shaped RNA motifs from bacteriophage packaging motors, kissing loop interactions from HIV, and peptide-binding RNA aptamers to position peptide-modified NRP enzymes. The resulting RNA scaffolds functionalized with different aptamers are designed and evaluated for in vitro production of enterobactin. The best RNA scaffold provides a 418% increase in enterobactin production compared with the system in absence of the RNA scaffold. Moreover, the chimeric scaffold, with E. coli and B. subtilis enzymes, reaches approximately 56% of the activity of the wild-type enzyme assembly. The studies presented in this dissertation will be helpful for future development of nucleic acid-based assays and for controlling protein interaction for NRPs biosynthesis.
ContributorsTang, Anli (Author) / Green, Alexander (Thesis advisor) / Yan, Hao (Committee member) / Woodbury, Neal (Committee member) / Arizona State University (Publisher)
Created2020
Description
Proteins are, arguably, the most complicated molecular machines found in nature. From the receptor proteins that decorate the exterior of cell membranes to enzymes that catalyze the slowest of chemical reactions, proteins perform a wide variety of essential biological functions. A reductionist view of proteins as a macromolecular group, however, may hold that they simply interact with other chemical species. Notably, proteins interact with other proteins, other biological macromolecules, small molecules, and ions. This in turn makes proteins uniquely qualified for use technological use as sensors of said chemical species (biosensors). Several methods have been developed to convert proteins into biosensors. Many of these techniques take advantage of fluorescence spectroscopy because it is a fast, non-invasive, non-destructive and highly sensitive method that also allows for spatiotemporal control. This, however, requires that first a fluorophore be added to a target protein. Several methods for achieving this have been developed from large, genetically encoded autofluorescent protein tags, to labeling with small molecule fluorophores using bioorthogonal chemical handles, to genetically encoded fluorescent non-canonical amino acids (fNCAA). In recent years, the fNCAA, L-(7-hydroxycoumarin-4yl)ethylglycine (7-HCAA) has been used in to develop several types of biosensors.
The dissertation I present here specifically addresses the use of the fNCAA L-(7-hydroxycoumarin-4-yl)ethylglycine (7-HCAA) in protein-based biosensors. I demonstrate 7-HCAA’s ability to act as a Förster resonance energy transfer (FRET) acceptor with tryptophan as the FRET donor in a single protein containing multiple tryptophans. I the describe efforts to elucidate—through both spectroscopic and structural characterization—interactions within a 7-HCAA containing protein that governs 7-HCAA fluorescence. Finally, I present a top-down computational design strategy for incorporating 7-HCAA into proteins that takes advantage of previously described interactions. These reports show the applicability of 7-HCAA and the wider class of fNCAAs as a whole for their use of rationally designed biosensors.
The dissertation I present here specifically addresses the use of the fNCAA L-(7-hydroxycoumarin-4-yl)ethylglycine (7-HCAA) in protein-based biosensors. I demonstrate 7-HCAA’s ability to act as a Förster resonance energy transfer (FRET) acceptor with tryptophan as the FRET donor in a single protein containing multiple tryptophans. I the describe efforts to elucidate—through both spectroscopic and structural characterization—interactions within a 7-HCAA containing protein that governs 7-HCAA fluorescence. Finally, I present a top-down computational design strategy for incorporating 7-HCAA into proteins that takes advantage of previously described interactions. These reports show the applicability of 7-HCAA and the wider class of fNCAAs as a whole for their use of rationally designed biosensors.
ContributorsGleason, Patrick Ray (Author) / Mills, Jeremy H (Thesis advisor) / Hecht, Sidney M. (Committee member) / Fromme, Petra (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2020
Description
Elucidation of Antigen-Antibody (Ag-Ab) interactions is critical to the understanding of humoral immune responses to pathogenic infection. B cells are crucial components of the immune system that generate highly specific antibodies, such as IgG, towards epitopes on antigens. Serum IgG molecules carry specific molecular recognition information concerning the antigens that initiated their production. If one could read it, this information can be used to predict B cell epitopes on target antigens in order to design effective epitope driven vaccines, therapies and serological assays. Immunosignature technology captures the specific information content of serum IgG from infected and uninfected individuals on high density microarrays containing ~105 nearly random peptide sequences. Although the sequences of the peptides are chosen to evenly cover amino acid sequence space, the pattern of serum IgG binding to the array contains a consistent signature associated with each specific disease (e.g., Valley fever, influenza) among many individuals. Here, the disease specific but agnostic behavior of the technology has been explored by profiling molecular recognition information for five pathogens causing life threatening infectious diseases (e.g. DENV, WNV, HCV, HBV, and T.cruzi). This was done by models developed using a machine learning algorithm to model the sequence dependence of the humoral immune responses as measured by the peptide arrays. It was shown that the disease specific binding information could be accurately related to the peptide sequences used on the array by the machine learning (ML) models. Importantly, it was demonstrated that the ML models could identify or predict known linear epitopes on antigens of the four viruses. Moreover, the models identified potential novel linear epitopes on antigens of the four viruses (each has 4-10 proteins in the proteome) and of T.cruzi (a eukaryotic parasite which has over 12,000 proteins in its proteome). Finally, the predicted epitopes were tested in serum IgG binding assays such as ELISAs. Unfortunately, the assay results were inconsistent due to problems with peptide/surface interactions. In a separate study for the development of antibody recruiting molecules (ARMs) to combat microbial infections, 10 peptides from the high density peptide arrays were tested in IgG binding assays using sera of healthy individuals to find a set of antibody binding termini (ABT, a ligand that binds to a variable region of the IgG). It was concluded that one peptide (peptide 7) may be used as a potential ABT. Overall, these findings demonstrate the applications of the immunosignature technology ranging from developing tools to predict linear epitopes on pathogens of small to large proteomes to the identification of an ABT for ARMs.
ContributorsCHOWDHURY, ROBAYET (Author) / Woodbury, Neal (Thesis advisor) / LaBaer, Joshua (Committee member) / Sulc, Petr (Committee member) / Arizona State University (Publisher)
Created2020
Description
Proteins function as molecular machines which perform a diverse set of essential jobs. To use these proteins as tools and manipulate them with directed engineering, a deeper understanding of their function and regulation is needed. In the studies presented here, the chemical mechanism of a fluorescent protein and the assembly behavior of a chemo-mechanical protein were explored to better understand their operation. In the first study a photoconvertible fluorescent protein (pcFP) was examined which undergoes a photochemical transformation upon irradiation with blue light resulting in an emission wavelength change from green to red. Photo-transformable proteins have been used in high resolution, subcellular biological imaging techniques, and desires to engineer them have prompted investigations into the mechanism of catalysis in pcFPs. Here, a Kinetic Isotope Effect was measured to determine the rate-limiting step of green-to-red photoconversion in the reconstructed Least Evolved Ancestor (LEA) protein. The results provide insight on the process of photoconversion and evidence for the formation of a long-lived intermediate. The second study presented here focuses on the AAA+ protein Rubisco activase (Rca), which plays a critical role in the removal of inhibitors from the carbon-dioxide fixing enzyme Rubisco. Efforts to engineer Rubisco and Rca can be guided by a deeper understanding of their structure and interactions. The structure of higher plant Rca from spinach, and its interactions with its cognate Rubisco, were investigated through negative-stain electron microscopy (EM) and cryo-EM experiments. Multiple types of higher-order oligomers of plant Rca were imaged which have never been structurally characterized, and the AAA+ core of plant Rca was shown to bind Rubisco side-on, similar to bacterial Rca’s. Higher resolution structures of these aggregates and complexes are needed to make definitive observations on protein-protein interactions. However, the results presented here provide evidence for the formation of regulatory structures and an experimental foundation for future exploration of plant Rca through cryo-EM.
ContributorsBreen, Isabella (Author) / Wachter, Rebekka (Thesis advisor) / Chiu, Po-Lin (Thesis advisor) / Levitus, Marcia (Committee member) / Mills, Jeremy (Committee member) / Arizona State University (Publisher)
Created2020
Description
Universal biology is an important astrobiological concept, specifically for the search for life beyond Earth. Over 1.2 million species have been identified on Earth, yet all life partakes in certain processes, such as homeostasis and replication. Furthermore, several aspects of biochemistry on Earth are thought to be universal, such as the use of organic macromolecules like proteins and nucleic acids. The presence of many biochemical features in empirical data, however, has never been thoroughly investigated. Moreover, the ability to generalize universal features of Earth biology to other worlds suffers from the epistemic problem of induction. Systems biology approaches offer means to quantify abstract patterns in living systems which can more readily be extended beyond Earth’s familiar planetary context. In particular, scaling laws, which characterize how a system responds to changes in size, have met with prior success in investigating universal biology.
This thesis rigorously tests the hypothesis that biochemistry is universal across life on Earth. The study collects enzyme data for annotated archaeal, bacterial, and eukaryotic genomes, in addition to metagenomes. This approach allows one to quantitatively define a biochemical system and sample across known biochemical diversity, while simultaneously exploring enzyme class scaling at both the level of both individual organisms and ecosystems. Using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Joint Genome Institute’s Integrated Microbial Genomes and Microbiomes (JGI IMG/M) database, this thesis performs the largest comparative analysis of microbial enzyme content and biochemistry to date. In doing so, this thesis quantitatively explores the distribution of enzyme classes on Earth and adds constraints to notions of universal biochemistry on Earth.
This thesis rigorously tests the hypothesis that biochemistry is universal across life on Earth. The study collects enzyme data for annotated archaeal, bacterial, and eukaryotic genomes, in addition to metagenomes. This approach allows one to quantitatively define a biochemical system and sample across known biochemical diversity, while simultaneously exploring enzyme class scaling at both the level of both individual organisms and ecosystems. Using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Joint Genome Institute’s Integrated Microbial Genomes and Microbiomes (JGI IMG/M) database, this thesis performs the largest comparative analysis of microbial enzyme content and biochemistry to date. In doing so, this thesis quantitatively explores the distribution of enzyme classes on Earth and adds constraints to notions of universal biochemistry on Earth.
ContributorsGagler, Dylan (Author) / Walker, Sara I (Thesis advisor) / Kempes, Chris (Committee member) / Trembath-Reichert, Elizabeth (Committee member) / Arizona State University (Publisher)
Created2020
Description
Oxidoreductases catalyze transformations important in both bioenergetics and microbial technologies. Nonetheless, questions remain about how to tune them to modulate properties such as preference for catalysis in the oxidative or reductive direction, the potential range of activity, or coupling of multiple reactions. Using protein film electrochemistry, the features that control these properties are defined by comparing the activities of five [FeFe]-hydrogenases and two thiosulfate reductases. Although [FeFe]-hydrogenases are largely described as hydrogen evolution catalysts, the catalytic bias of [FeFe]-hydrogenases, i.e. the ratio of maximal reductive to oxidative activities, spans more than six orders of magnitude. At one extreme, two [FeFe]-hdyrogenases, Clostridium pasteuriaunum HydAII and Clostridium symbiosum HydY, are far more active for hydrogen oxidation than hydrogen evolution. On the other extreme, Clostridium pasteurianum HydAI and Clostridium acetobutylicum HydA1 have a neutral bias, in which both proton reduction and hydrogen oxidation are efficient. By investigating a collection of site-directed mutants, it is shown that the catalytic bias of [FeFe]-hydrogenases is not trivially correlated with the identities of residues in the primary or secondary coordination sphere. On the other hand, the catalytic bias of Clostridium acetobutylicum HydAI can be modulated via mutation of an amino acid residue coordinating the terminal [FeS] cluster. Simulations suggest that this change in catalytic bias may be linked to the reduction potential of the cluster.
Two of the enzymes examined in this work, Clostridium pasteurianum HydAIII and Clostridium symbiosum HydY, display novel catalytic properties. HydY is exclusively a hydrogen oxidizing catalyst, and it couples this activity to peroxide reduction activity at a rubrerythrin center in the same enzyme. On the other hand, CpIII operates only in a narrow potential window, inactivating at oxidizing potentials. This suggests it plays a novel physiological role that has not yet been identified. Finally, the electrocatalytic properties of Pyrobaculum aerophilum thiosulfate reductase with either Mo or W in the active site are compared. In both cases, the onset of catalysis corresponds to reduction of the active site. Overall, the Mo enzyme is more active, and reduces thiosulfate with less overpotential.
Two of the enzymes examined in this work, Clostridium pasteurianum HydAIII and Clostridium symbiosum HydY, display novel catalytic properties. HydY is exclusively a hydrogen oxidizing catalyst, and it couples this activity to peroxide reduction activity at a rubrerythrin center in the same enzyme. On the other hand, CpIII operates only in a narrow potential window, inactivating at oxidizing potentials. This suggests it plays a novel physiological role that has not yet been identified. Finally, the electrocatalytic properties of Pyrobaculum aerophilum thiosulfate reductase with either Mo or W in the active site are compared. In both cases, the onset of catalysis corresponds to reduction of the active site. Overall, the Mo enzyme is more active, and reduces thiosulfate with less overpotential.
ContributorsWilliams, Samuel Garrett (Author) / Jones, Anne K (Thesis advisor) / Hayes, Mark A. (Committee member) / Trovitch, Ryan J (Committee member) / Arizona State University (Publisher)
Created2020
Description
The small mitogenic cytokine Pleiotrophin (PTN) is well-known for its roles in
tissue growth, development, and repair. First isolated from neuronal tissues, much interest in this protein resides in development of the central nervous system and neuronal regeneration. Owning to its role in growth, development and its ability to promote angiogenesis and metastasis, PTN’s overexpression in cancers such as glioblastoma, has become the focal point of much research. Many of the receptors through which PTN acts contain glycosaminoglycans (GAGs), through which PTN binds. Thus, understanding the atomistic detail of PTN’s architecture and interaction with GAG chains is of significant importance in elucidating its functional role in growth and malignancy of biological tissues, as well as in neural development and progression of other diseases. Herein the first solution state structure of PTN was solved via nuclear magnetic resonance (NMR), with extensive characterization of its ability to bind GAG. Structurally, PTN consists of two -sheet domains connected by a short flexible linker, and flanked by long flexible termini. Broad distribution of positively charged amino acids in the protein’s sequence yields highly basic surfaces on the -sheet domains as well as highly cationic termini. With GAG chains themselves being linear anionic polymers, all interactions between these sugars and PTN are most exclusively driven through the electrostatic interactions between them, with no discernable specificity for GAG types. Moreover, this binding event is coordinated mostly through basic patches located in the C-Terminal domain (CTD). Although the flexible C- terminus has been shown to play a significant role in receptor binding, data here also reveal an adaptability of PTN to maintain high affinity interactions through its structured domains
when termini are removed. Additionally, analysis of binding information revealed for the first time the presence of a secondary GAG binding site within PTN. It is shown that PTN’s CTD constitutes the major binding site, while the N-terminal domain (NTD) contains the much weaker secondary site. Finally, compilation of high-resolution data containing the atomistic detail of PTN’s interaction with GAG provided the information necessary to produce the highest accuracy model to date of the PTN-GAG complex. Taken together, these findings provide means for specific targeting of this mitogenic cytokine in a wide array of biological applications.
tissue growth, development, and repair. First isolated from neuronal tissues, much interest in this protein resides in development of the central nervous system and neuronal regeneration. Owning to its role in growth, development and its ability to promote angiogenesis and metastasis, PTN’s overexpression in cancers such as glioblastoma, has become the focal point of much research. Many of the receptors through which PTN acts contain glycosaminoglycans (GAGs), through which PTN binds. Thus, understanding the atomistic detail of PTN’s architecture and interaction with GAG chains is of significant importance in elucidating its functional role in growth and malignancy of biological tissues, as well as in neural development and progression of other diseases. Herein the first solution state structure of PTN was solved via nuclear magnetic resonance (NMR), with extensive characterization of its ability to bind GAG. Structurally, PTN consists of two -sheet domains connected by a short flexible linker, and flanked by long flexible termini. Broad distribution of positively charged amino acids in the protein’s sequence yields highly basic surfaces on the -sheet domains as well as highly cationic termini. With GAG chains themselves being linear anionic polymers, all interactions between these sugars and PTN are most exclusively driven through the electrostatic interactions between them, with no discernable specificity for GAG types. Moreover, this binding event is coordinated mostly through basic patches located in the C-Terminal domain (CTD). Although the flexible C- terminus has been shown to play a significant role in receptor binding, data here also reveal an adaptability of PTN to maintain high affinity interactions through its structured domains
when termini are removed. Additionally, analysis of binding information revealed for the first time the presence of a secondary GAG binding site within PTN. It is shown that PTN’s CTD constitutes the major binding site, while the N-terminal domain (NTD) contains the much weaker secondary site. Finally, compilation of high-resolution data containing the atomistic detail of PTN’s interaction with GAG provided the information necessary to produce the highest accuracy model to date of the PTN-GAG complex. Taken together, these findings provide means for specific targeting of this mitogenic cytokine in a wide array of biological applications.
ContributorsRyan, Eathen (Author) / Wang, Xu (Thesis advisor) / Yarger, Jeffery (Committee member) / Liu, Wei (Committee member) / Arizona State University (Publisher)
Created2020