This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.

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Description
Multivalency is an important phenomenon that guides numerous biological interactions. It has been utilized in design of therapeutics and drug candidates. Hence, this study attempts to develop analytical tools to study multivalent interactions and design multivalent ligands for drug delivery and therapeutic applications.

Atomic Force Microscopy (AFM)

Multivalency is an important phenomenon that guides numerous biological interactions. It has been utilized in design of therapeutics and drug candidates. Hence, this study attempts to develop analytical tools to study multivalent interactions and design multivalent ligands for drug delivery and therapeutic applications.

Atomic Force Microscopy (AFM) has been envisioned as a means of nanodiagnostics due to its single molecule sensitivity. However, the AFM based recognition imaging lacks a multiplex capacity to detect multiple analytes in a single test. Also there is no user friendly wet chemistry to functionalize AFM tips. Hence, an uncatalyzed Click Chemistry protocol was developed to functionalize AFM tips. For multiplexed recognition imaging, recognition heads based on a C3 symmetrical three arm linker with azide functionalities at its ends were synthesized and the chemistry to attach them to AFM tips was developed, and these recognition heads were used in detecting multiple proteins simultaneously using AFM.

A bis-Angiopeptide-2 conjugate with this three-arm linker was synthesized and this was conjugated with anti-West Nile virus antibody E16 site specifically to target advanced West Nile virus infection in the Central Nervous System. The bis-Angiopeptide-2 conjugate of the antibody shows higher efficacy compared to a linear linker-Angiopeptide-2 conjugate of the antibody in in vitro studies and currently the efficacy of this antibody conjugate in studied in mice. Surface Plasmon Resonance imaging (SPRi) results indicate that the conjugation does not affect the antigen binding activity of the antibody very significantly.

A Y-shaped bisbiotin ligand was also prepared as a small sized antibody mimic. Compared to a monovalent biotin ligand, the y-Bisbiotin can cooperatively form a significantly more stable complex with streptavidin through intramolecular bivalent interactions, which were demonstrated by gel electrophoresis, SPR and AFM. Continuing on these lines, a four-arm linker was synthesized containing three single chain variable fragments (scFv) linked to the scaffold to form a tripod base, which would allow them to concomitantly interact with a trimeric Glycoprotein (GP) spike that has a “chalice” configuration. Meanwhile, a human IgG1 Fc is to be installed on the top of the tetrahedron, exerting effector functions of a monoclonal antibody.
ContributorsManna, Saikat (Author) / Lindsay, Stuart (Thesis advisor) / Zhang, Peiming (Thesis advisor) / Gould, Ian (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2016
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Description
Molecular tessellation research aims to elucidate the underlying principles that govern intricate patterns in nature and to leverage these principles to create precise and ordered structures across multiple scales, thereby facilitating the emergence of novel functionalities. DNA origami technology enables the fabrication of nearly arbitrary DNA architectures with nanoscale precision,

Molecular tessellation research aims to elucidate the underlying principles that govern intricate patterns in nature and to leverage these principles to create precise and ordered structures across multiple scales, thereby facilitating the emergence of novel functionalities. DNA origami technology enables the fabrication of nearly arbitrary DNA architectures with nanoscale precision, which can serve as excellent building blocks for the construction of tessellation patterns. However, the size and complexity of DNA origami tessellation systems are currently limited by several unexplored factors relevant to the accuracy of essential design parameters, the applicability of design strategies, and the compatibility between different tiles. Here, a general design and assembly method are described for creating DNA origami tiles that grow into tessellation patterns with micrometer-scale order and nanometer-scale precision. A critical design parameter, interhelical distance (D), was identified, which determined the conformation of monomer tiles and the outcome of tessellation. Finely tuned D facilitated the accurate geometric design of monomer tiles with minimized curvature and improved tessellation capability. To demonstrate the generality of the design method, 9 tile geometries and 15 unique tile designs were generated. The designed tiles were assembled into single-crystalline lattices ranging from tens to hundreds of square micrometers with micrometer-scale, nearly defect-free areas readily visualized by atomic force microscopy. Two strategies were applied to further increase the complexity of DNA origami tessellation, including reducing the symmetry of monomer tiles and co-assembling tiles of various geometries. The designed 6 complex tilings that includes 5 Archimedean tilings and a 12-fold quasicrystal tiling yielded various tiling patterns that great in size and quality, indicating the robustness of the optimized tessellation system. The described design and assembly approach can also be employed to create square DNA origami units for algorithmic self-assembly. As the square units assembled and expanded, they executed the binary function XOR, which generated the Sierpinski triangular pattern according to the predetermined instructions. This study will promote DNA-templated, programmable molecular and material patterning and open up new opportunities for applications in metamaterial engineering, nanoelectronics, and nanolithography.
ContributorsTang, Yue (Author) / Yan, Hao (Thesis advisor) / Guo, Jia (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Without a doubt, protein is the most crucial biomolecule performing life and biological functions of any living cell. Profiling various protein expression in individual cells has raised a great interest for scientist and researchers over decades in attempts to reveal cell-to-cell variation, which used to be masked in many previous

Without a doubt, protein is the most crucial biomolecule performing life and biological functions of any living cell. Profiling various protein expression in individual cells has raised a great interest for scientist and researchers over decades in attempts to reveal cell-to-cell variation, which used to be masked in many previous population average measurement methods. Immunofluorescence (IF) has been a well-established single cell protein analysis technique as for its fast and high-resolution detection and localization, simple and adaptable workflows, and affordable instrumentation. However, inadequate detection sensitivity and multiplexing capability are the two limitation of this platform that remain incompletely addressed in many decades. In this work, several improvements have been proposed and demonstrated to improve existing drawbacks of conventional immunofluorescence. An azide-based linker featured in the novel fluorescent probes synthesis has enable iterative protein staining on the same tissue sample, which subsequently increase the multiplex capacity of IF. Additionally, the multiple fluorophore introduction to the proteins target via either layer by layer biotin-cleavable fluorescent streptavidin or tyramide signal amplification (TSA) have significantly increase the detection sensitivity of the platform. With these advances, IF has the potential to detect, image and quantify up to 100 protein targets in single cell in the tissue sample. In addition of desirable features of IF, these improvements have further turned the technique into a powerful proteomic study platform for not only research setting but also clinical study setting. It is anticipated this highly sensitive and multiplexed, renovated IF method will soon be translated into biomedical studies.
ContributorsPham, Thai Huy (Author) / Guo, Jia (Thesis advisor) / Stephanopoulos, Nicholas (Committee member) / Chiu, Po-Lin (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Molecular recognition forms the basis of all protein interactions, and therefore is crucial for maintaining biological functions and pathways. It can be governed by many factors, but in case of proteins and peptides, the amino acids sequences of the interacting entities play a huge role. It is molecular recognition that

Molecular recognition forms the basis of all protein interactions, and therefore is crucial for maintaining biological functions and pathways. It can be governed by many factors, but in case of proteins and peptides, the amino acids sequences of the interacting entities play a huge role. It is molecular recognition that helps a protein identify the correct sequences residues necessary for an interaction, among the vast number of possibilities from the combinatorial sequence space. Therefore, it is fundamental to study how the interacting amino acid sequences define the molecular interactions of proteins. In this work, sparsely sampled peptide sequences from the combinatorial sequence space were used to study the molecular recognition observed in proteins, especially monoclonal antibodies. A machine learning based approach was used to study the molecular recognition characteristics of 11 monoclonal antibodies, where a neural network (NN) was trained on data from protein binding experiments performed on high-throughput random-sequence peptide microarrays. The use of random-sequence microarrays allowed for the peptides to be sparsely sampled from sequence space. Post-training, a sequence vs. binding relationship was deduced by the NN, for each antibody. This in silico relationship was then extended to larger libraries of random peptides, as well as to the biologically relevant sequences (target antigens, and proteomes). The NN models performed well in predicting the pertinent interactions for 6 out of the 11 monoclonal antibodies, in all aspects. The interactions of the other five monoclonal antibodies could not be predicted well by the models, due to their poor recognition of the residues that were omitted from the array. Furthermore, NN predicted sequence vs. binding relationships for 3 other proteins were experimentally probed using surface plasmon resonance (SPR). This was done to explore the relationship between the observed and predicted binding to the arrays and the observed binding on different assay platforms. It was noted that there was a general motif dependent correlation between predicted and SPR-measured binding. This study also indicated that a combined reiterative approach using in silico and in vitro techniques is a powerful tool for optimizing the selectivity of the protein-binding peptides.
ContributorsBisarad, Pritha (Author) / Woodbury, Neal W (Thesis advisor) / Green, Alexander A (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Protein-nucleic acid interactions are ubiquitous in biological systems playing a pivotal role in fundamental processes such as replication, transcription and translation. These interactions have been extensively used to develop biosensors, imaging techniques and diagnostic tools.This dissertation focuses on design of a small molecule responsive biosensor that employs transcription factor/deoxyribonucleic acid

Protein-nucleic acid interactions are ubiquitous in biological systems playing a pivotal role in fundamental processes such as replication, transcription and translation. These interactions have been extensively used to develop biosensors, imaging techniques and diagnostic tools.This dissertation focuses on design of a small molecule responsive biosensor that employs transcription factor/deoxyribonucleic acid (DNA) interactions to detect 10 different analytes including antibiotics such as tetracyclines and erythromycin. The biosensor harnesses the multi-turnover collateral cleavage activity of Cas12a to provide signal amplification in less than an hour that can be monitored using fluorescence as well as on paper based diagnostic devices. In addition, the functionality of this assay was preserved when testing tap water and wastewater spiked with doxycycline. Overall, this biosensor has potential to expand the range of small molecule detection and can be used to identify environmental contaminants. In second part of the dissertation, interactions between nonribosomal peptide synthetases (NRPS) and ribonucleic acid (RNA) were utilized for programming the synthesis of nonribosomal peptides. RNA scaffolds harboring peptide binding aptamers and interconnected using kissing loops to guide the assembly of NRPS modules modified with corresponding aptamer-binding peptides were built. A successful chimeric assembly of Ent synthetase modules was shown that was characterized by the production of Enterobactin siderophore. It was found that the programmed RNA/NRPS assembly could achieve up to 60% of the yield of wild-type biosynthetic pathway of the iron-chelator enterobactin. Finally, a cas12a-based detection method for discriminating short tandem repeats where a toehold exchange mechanism was designed to distinguish different numbers of repeats found in Huntington’s disease, Spinocerebellar ataxia type 10 and type 36. It was observed that the system discriminates well when lesser number of repeats are present and provides weaker resolution as the size of DNA strands increases. Additionally, the system can identify Kelch13 mutations such as P553L, N458Y and F446I from the wildtype sequence for Artemisinin resistance detection. This dissertation demonstrates the great utility of harnessing protein-nucleic acid interactions to construct biomolecular devices for detecting clinically relevant nucleic acid mutations, a variety of small molecule analyte and programming the production of useful molecules.
ContributorsChaudhary, Soma (Author) / Green, Alexander (Thesis advisor) / Stephanopoulos, Nicholas (Committee member) / Mangone, Marco (Committee member) / Arizona State University (Publisher)
Created2022
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Description
The increasing pervasiveness of infections caused by multidrug-resistant bacteria (MDR) is a major global health issue that has been further exacerbated by the dearth of antibiotics developed over the past 40 years. Drug-resistant bacteria have led to significant morbidity and mortality, and ever-increasing antibiotic resistance threatens to reverse many of

The increasing pervasiveness of infections caused by multidrug-resistant bacteria (MDR) is a major global health issue that has been further exacerbated by the dearth of antibiotics developed over the past 40 years. Drug-resistant bacteria have led to significant morbidity and mortality, and ever-increasing antibiotic resistance threatens to reverse many of the medical advances enabled by antibiotics over the last 40 years. The traditional strategy for combating these superbugs involves the development of new antibiotics. Yet, only two new classes of antibiotics have been introduced to the clinic over the past two decades, and both failed to combat broad spectrum gram-negative bacteria. This situation demands alternative strategies to combat drug-resistant superbugs. Herein, these dissertation reports the development of potent antibacterials based on biomolecule-encapsulated two-dimensional inorganic materials, which combat multidrug-resistant bacteria using alternative mechanisms of strong physical interactions with bacterial cell membrane. These systems successfully eliminate all members of the ‘Superbugs’ set of pathogenic bacteria, which are known for developing antibiotic resistance, providing an alternative to the limited ‘one bug-one drug’ approach that is conventionally used. Furthermore, these systems demonstrate a multimodal antibacterial killing mechanism that induces outer membrane destabilization, unregulated ion movement across the membranes, induction of oxidative stress, and finally apoptotic-like cell death. In addition, a peptide-encapsulation of the two-dimensional material successfully eliminated biofilms and persisters at micromolar concentrations. Overall, these novel systems have great potential as next-generation antimicrobial agents for eradication of broad spectrum multidrug-resistant bacteria.
ContributorsDebnath, Abhishek (Author) / Green, Alexander A (Thesis advisor) / Liu, Yan (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2019
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Description
The severe resistance of bacteria and fungi towards common antibiotic drugs has led to the increasing prevalence of infections due to multi-drug resistant microbes, which is one of the most serious issue faced by the healthcare system worldwide. These drug-resistant bacteria have led to significant health problems and fatalities whereas

The severe resistance of bacteria and fungi towards common antibiotic drugs has led to the increasing prevalence of infections due to multi-drug resistant microbes, which is one of the most serious issue faced by the healthcare system worldwide. These drug-resistant bacteria have led to significant health problems and fatalities whereas drug-resistance fungi possess significant threat to humans, livestock, and crops globally. Furthermore, this drug resistance leads to the formation of biofilms, which are thick layers of microbes embedded in extracellular polymeric matrix. They adhere to both living and nonliving surfaces, making it harder to contain or eradicate these pathogens. The conventional strategy for combating these pathogenic bacteria and fungi has its limitations and new antimicrobials are constantly required to fight the growing resistant mechanisms. Hence, there is an immediate need for an alternative strategy to combat these drug-resistant isolates. Herein, this dissertation reports the development of novel potent antimicrobial agent based on tow-dimensional layered nanomaterials dispersed in biocompatible oligonucleotide, biomolecules, polymers, and surfactant. These synthesized novel nanomaterials successfully eliminated multidrug-resistant microbes with synergistic efforts of physical interaction, membrane disintegration, depolarization and intrinsic antimicrobial properties leading to cell death. These systems were highly effective against a broad spectrum of microbes including drug-resistant gram-positive, gram-negative bacteria and fungal isolates. Furthermore, they were successful in eradication of mature biofilm as well as inhibition of biofilms on several medically relevant surfaces. Overall, these novel systems have exceptional potential as a promising alternative solution in solving current problems faced by the healthcare system sue to these pathogenic microbes. For the next direction, a different avenue was explored where a novel system based on two-dimensional layered material with antibacterial properties was analyzed for enzyme-like activity. These nanomaterials with intrinsic enzyme-like properties are commonly known as nanozymes have many advantages over natural enzymes such as low cost, scalability and high stability. A class of ultra-high temperature ceramics known as metal diborides were synthesized in biocompatible surfactant followed by analysis of their enzymatic activity and antibacterial activity. Results demonstrate this novel system possesses a unique combination of exceptionally high affinity towards hydrogen peroxide and high activity per cost. Furthermore, it is extremely potent against pathogenic bacteria and has a high degree of biocompatibility. Hence, this new system opens the door for future possible applications in biomedicine with further research.
ContributorsSaha, Sanchari (Author) / Green, Alexander A. (Thesis advisor) / Wang, Qing Hua (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2021
Description
Membrane proteins act as sensors, gatekeepers and information carriers in the cell membranes. Functional engineering of these proteins is important for the development of molecular tools for biosensing, therapeutics and as components of artificial cells. However, using protein engineering to modify existing protein structures is challenging due to the limitations

Membrane proteins act as sensors, gatekeepers and information carriers in the cell membranes. Functional engineering of these proteins is important for the development of molecular tools for biosensing, therapeutics and as components of artificial cells. However, using protein engineering to modify existing protein structures is challenging due to the limitations of structural changes and difficulty in folding polypeptides into defined protein structures. Recent studies have shown that nanoscale architectures created by DNA nanotechnology can be used to mimic various protein functions, including some membrane proteins. However, mimicking the highly sophisticated structural dynamics of membrane proteins by DNA nanostructures is still in its infancy, mainly due to lack of transmembrane DNA nanostructures that can mimic the dynamic behavior, ubiquitous to membrane proteins. Here, I demonstrate design of dynamic DNA nanostructures to mimic two important class of membrane proteins. First, I describe a DNA nanostructure that inserts through lipid membrane and dynamically reconfigures upon sensing a membrane-enclosed DNA or RNA target, thereby transducing biomolecular information across the lipid membrane similar to G-protein coupled receptors (GPCR’s). I use the non-destructive sensing property of our GPCR-mimetic nanodevice to sense cancer associated micro-RNA biomarkers inside exosomes without the need of RNA extraction and amplification. Second, I demonstrate a fully reversibly gated DNA nanopore that mimics the ligand mediated gating of ion channel proteins. The 20.4 X 20.4 nm-wide channel of the DNA nanopore allows timed delivery of folded proteins across synthetic and biological membranes. These studies represent early examples of dynamic DNA nanostructures in mimicking membrane protein functions. I envision that they will be used in synthetic biology to create artificial cells containing GPCR-like and ion channel-like receptors, in site-specific drug or vaccine delivery and highly sensitive biosensing applications.
ContributorsDey, Swarup (Author) / Yan, Hao (Thesis advisor) / Hariadi, Rizal F (Thesis advisor) / Liu, Yan (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2021