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Description
African Swine Fever (ASF), endemic in many African countries, is now spreading to other continents. Though ASF is capable of incurring serious economic losses in affected countries, no vaccine exists to provide immunity to animals. Disease control relies largely on rapid diagnosis and the implementation of movement restrictions and strict eradication programs. Developing a scalable, accurate and low cost diagnostic for ASF will be of great help for the current situation. CIM's 10K random peptide microarray is a new high-throughput platform that allows systematic investigations of immune responses associated with disease and shows promise as a diagnostic tool. In this study, this new technology was applied to characterize the immune responses of ASF virus (ASFV) infections and immunizations. Six sets of sera from ASFV antigen immunized pigs, 6 sera from infected pigs and 20 sera samples from unexposed pigs were tested and analyzed statistically. Results show that both ASFV antigen immunized pigs and ASFV viral infected pigs can be distinguished from unexposed pigs. Since it appears that immune responses to other viral infections are also distinguishable on this platform, it holds the potential of being useful in developing a new ASF diagnostic. The ability of this platform to identify specific ASFV antibody epitopes was also explored. A subtle motif was found to be shared among a set of peptides displaying the highest reactivity for an antigen specific antibody. However, this motif does not seem to match with any antibody epitopes predicted by a linear antibody epitope prediction.
ContributorsXiao, Liang (Author) / Sykes, Kathryn (Thesis advisor) / Zhao, Zhan-Gong (Committee member) / Stafford, Phillip (Committee member) / Arizona State University (Publisher)
Created2011
Description
The concept of “good” research is concrete in terms of technique, but complex in theory. As technology advances, the complexity of problems we must solve also grows. Research is facing an ethical dilemma—which projects, applied or basic, should be funded. Research is no longer an isolated sector in society, and the decisions made inside of the laboratory are affecting the general public more directly than ever before. While there is no correct answer to what the future of research should be, it is clear that good research can no longer be only defined by the current classification system, which is rooted in antiquated, yet ingrained, social status distinctions.
Differences between basic and applied research were explored through a wet-lab case study. Vaccinia virus (VACV) infections are a prime model of the competition between a virus and its host. VACV contains a gene that is highly evasive of the host immune system, gene E3L. The protein encoded by E3L is E3, which contains two highly conserved regions, a C-terminus, and a N-terminus. While the C-terminus is well-understood, the mechanism by which the N-terminus grants IFN resistance was previously unknown. This project demonstrated that the N-terminus prevents the initiation of programmed necrosis through host-encoded cellular proteins RIP3 and DAI. These findings provide insight into the function of the N-terminus of E3, as well as the unique functions of induced programmed necrosis.
This project was an example of “basic” research. However, it highlights the interconnectivity of basic and applied research and the danger in isolating both projects and perspectives. It points to the difficult decisions that must be made in science, and the need for a better research classification system that considers what makes science “good” outside of antiquated social class ideologies that have shaped science since ancient Greece. While there are no easy answers to determine what makes research “good,” thinking critically about the types of research projects that will be pursued, and the effects that research has on both science and society, will raise awareness, initiate new conversations, and encourage more dialogue about science in the 21st century.
Differences between basic and applied research were explored through a wet-lab case study. Vaccinia virus (VACV) infections are a prime model of the competition between a virus and its host. VACV contains a gene that is highly evasive of the host immune system, gene E3L. The protein encoded by E3L is E3, which contains two highly conserved regions, a C-terminus, and a N-terminus. While the C-terminus is well-understood, the mechanism by which the N-terminus grants IFN resistance was previously unknown. This project demonstrated that the N-terminus prevents the initiation of programmed necrosis through host-encoded cellular proteins RIP3 and DAI. These findings provide insight into the function of the N-terminus of E3, as well as the unique functions of induced programmed necrosis.
This project was an example of “basic” research. However, it highlights the interconnectivity of basic and applied research and the danger in isolating both projects and perspectives. It points to the difficult decisions that must be made in science, and the need for a better research classification system that considers what makes science “good” outside of antiquated social class ideologies that have shaped science since ancient Greece. While there are no easy answers to determine what makes research “good,” thinking critically about the types of research projects that will be pursued, and the effects that research has on both science and society, will raise awareness, initiate new conversations, and encourage more dialogue about science in the 21st century.
ContributorsSnyder, Caroline Jane (Author) / Jacobs, Bertram (Thesis director) / Hurlbut, Ben (Committee member) / Mateusz, Szczerba (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Predatory bacteria are a guild of heterotrophs that feed directly on other living bacteria. They belong to several bacterial lineages that evolved this mode of life independently and occur in many microbiomes and environments. Current knowledge of predatory bacteria is based on culture studies and simple detection in natural systems. The ecological consequences of their activity, unlike those of other populational loss factors like viral infection or grazing by protists, are yet to be assessed. During large-scale cultivation of biological soil crusts intended for arid soil rehabilitation, episodes of catastrophic failure were observed in cyanobacterial growth that could be ascribed to the action of an unknown predatory bacterium using bioassays. This predatory bacterium was also present in natural biocrust communities, where it formed clearings (plaques) up to 9 cm in diameter that were visible to the naked eye. Enrichment cultivation and purification by cell-sorting were used to obtain co-cultures of the predator with its cyanobacterial prey, as well as to identify and characterize it genomically, physiologically and ultrastructurally. A Bacteroidetes bacterium, unrelated to any known isolate at the family level, it is endobiotic, non-motile, obligately predatory, displays a complex life cycle and very unusual ultrastructure. Extracellular propagules are small (0.8-1.0 µm) Gram-negative cocci with internal two-membrane-bound compartmentalization. These gain entry to the prey likely using a suite of hydrolytic enzymes, localizing to the cyanobacterial cytoplasm, where growth begins into non-compartmentalized pseudofilaments that undergo secretion of vesicles and simultaneous multiple division to yield new propagules. I formally describe it as Candidatus Cyanoraptor togatus, hereafter Cyanoraptor. Its prey range is restricted to biocrust-forming, filamentous, non-heterocystous, gliding, bundle-making cyanobacteria. Molecular meta-analyses showed its worldwide distribution in biocrusts. Biogeochemical analyses of Cyanoraptor plaques revealed that it causes a complete loss of primary productivity, and significant decreases in other biocrusts properties such as water-retention and dust-trapping capacity. Extensive field surveys in the US Southwest revealed its ubiquity and its dispersal-limited, aggregated spatial distribution and incidence. Overall, its activity reduces biocrust productivity by 10% at the ecosystem scale. My research points to predatory bacteria as a significant, but overlooked, ecological force in shaping soil microbiomes.
ContributorsBethany Rakes, Julie Ann (Author) / Garcia-Pichel, Ferran (Thesis advisor) / Gile, Gillian (Committee member) / Cao, Huansheng (Committee member) / Jacobs, Bertram (Committee member) / Arizona State University (Publisher)
Created2022
Description
Access to testing for the human immunodeficiency virus (HIV), as well as other care services related to HIV/AIDS, have greatly improved in Tanzania over the last decade. Despite the country’s efforts to increase the number of individuals who get tested for HIV annually, it is estimated that only 52.2-70.0% of people living with HIV (PLWH) knew their HIV positive status at the end of 2017. In addition, research in Tanzania has shown that HIV-related stigma and discrimination are widespread and contribute to low uptake of HIV testing and non-adherence to antiretroviral treatment (ART). In order to achieve the goals set forth by the Government of Tanzania and the Joint United Nations Programme on HIV/AIDS (UNAIDS), as well as move towards an AIDS-free generation, a deeper understanding of the stigma-related barriers to seeking an HIV test is necessary. This research aims to better understand the relationship between HIV-related stigma and attitudes towards HIV testing among community members in Northern Tanzania. In addition, it looked at the specific barriers that contribute to low uptake of HIV testing, as well as the impact of social networks on an individual’s motivation and willingness to get tested for HIV. In this research, community members in Meru District (N = 108, male = 69.4%, female = 28.7%) were surveyed using various validated instruments that covered a range of topics, including knowledge of HIV/AIDS, testing attitudes, and perceived risk of HIV infection. The mean overall score for correct answers on the knowledge measure was 69.8% (SD = 16.4). There were no significant group differences between individuals who had ever tested and individuals who had not tested in relation to HIV/AIDS knowledge or HIV testing attitudes. The factors that were significantly associated with getting an HIV test were knowing someone who had previously tested (p = 0.003), as well as openly discussing HIV testing within one’s social group (p = 0.017). Participants also provided qualitative responses for barriers to receiving an HIV test, motivations for getting tested, and suggested interventions for improving HIV testing uptake. The goal of this research is to develop recommendations for interventions that are better informed by attitudes and motivations for testing.
ContributorsAllen, Megan (Author) / Jacobs, Bertram (Thesis advisor) / Neuberg, Steven (Committee member) / Ellison, Karin (Committee member) / Arizona State University (Publisher)
Created2019
Description
The advent of new high throughput technology allows for increasingly detailed characterization of the immune system in healthy, disease, and age states. The immune system is composed of two main branches: the innate and adaptive immune system, though the border between these two states is appearing less distinct. The adaptive immune system is further split into two main categories: humoral and cellular immunity. The humoral immune response produces antibodies against specific targets, and these antibodies can be used to learn about disease and normal states. In this document, I use antibodies to characterize the immune system in two ways: 1. I determine the Antibody Status (AbStat) from the data collected from applying sera to an array of non-natural sequence peptides, and demonstrate that this AbStat measure can distinguish between disease, normal, and aged samples as well as produce a single AbStat number for each sample; 2. I search for antigens for use in a cancer vaccine, and this search results in several candidates as well as a new hypothesis. Antibodies provide us with a powerful tool for characterizing the immune system, and this natural tool combined with emerging technologies allows us to learn more about healthy and disease states.
ContributorsWhittemore, Kurt (Author) / Sykes, Kathryn (Thesis advisor) / Johnston, Stephen A. (Committee member) / Jacobs, Bertram (Committee member) / Stafford, Phillip (Committee member) / Stout, Valerie (Committee member) / Arizona State University (Publisher)
Created2014
Description
This study aims to unearth monological and monocultural discourses buried under the power of the dominant biomedical model governing the HIV/AIDS debate. The study responds to an apparent consensus, rooted in Western biomedicine and its "standardizations of knowledge," in the production of the current HIV/AIDS discourse, especially in Sub-Saharan Africa. As a result, biomedicine has become the dominant actor (in) writing and rewriting discourse for the masses while marginalizing other forms of medical knowledge. Specifically, in its development, the Western biomedical model has arguably isolated the disease from its human host and the social experiences that facilitate the disease's transmission, placing it in the realm of laboratories and scientific experts and giving full ownership to Western medical discourse. Coupled with Western assumptions about African culture that reproduce a one-sided discourse informing the social construction of HIV/AIDS in Africa, this Western monopoly thus constrained the extent and efficacy of international prevention efforts. In this context, the goal for this study is not to demonize the West and biomedicine in general. Rather, this study seeks an alternative and less monolithic understanding currently absent in scientific discourses of HIV/AIDS that frequently elevates Western biomedicine over indigenous medicine; the Western expert over the local. The study takes into account the local voices of Sub-Saharan Africa and how the system has affected them, this study utilizes a Foucauldian approach to analyze discourse as a way to explore how certain ways of knowledge are formed in relation to power. This study also examines how certain knowlege is maintaned and reinforced within specific discourses.
ContributorsAbdalla, Mohamed (Author) / Jacobs, Bertram (Thesis advisor) / Robert, Jason (Committee member) / Klimek, Barbara (Committee member) / Arizona State University (Publisher)
Created2014
Description
The healthcare system in this country is currently unacceptable. New technologies may contribute to reducing cost and improving outcomes. Early diagnosis and treatment represents the least risky option for addressing this issue. Such a technology needs to be inexpensive, highly sensitive, highly specific, and amenable to adoption in a clinic. This thesis explores an immunodiagnostic technology based on highly scalable, non-natural sequence peptide microarrays designed to profile the humoral immune response and address the healthcare problem. The primary aim of this thesis is to explore the ability of these arrays to map continuous (linear) epitopes. I discovered that using a technique termed subsequence analysis where epitopes could be decisively mapped to an eliciting protein with high success rate. This led to the discovery of novel linear epitopes from Plasmodium falciparum (Malaria) and Treponema palladium (Syphilis), as well as validation of previously discovered epitopes in Dengue and monoclonal antibodies. Next, I developed and tested a classification scheme based on Support Vector Machines for development of a Dengue Fever diagnostic, achieving higher sensitivity and specificity than current FDA approved techniques. The software underlying this method is available for download under the BSD license. Following this, I developed a kinetic model for immunosignatures and tested it against existing data driven by previously unexplained phenomena. This model provides a framework and informs ways to optimize the platform for maximum stability and efficiency. I also explored the role of sequence composition in explaining an immunosignature binding profile, determining a strong role for charged residues that seems to have some predictive ability for disease. Finally, I developed a database, software and indexing strategy based on Apache Lucene for searching motif patterns (regular expressions) in large biological databases. These projects as a whole have advanced knowledge of how to approach high throughput immunodiagnostics and provide an example of how technology can be fused with biology in order to affect scientific and health outcomes.
ContributorsRicher, Joshua Amos (Author) / Johnston, Stephen A. (Thesis advisor) / Woodbury, Neal (Committee member) / Stafford, Phillip (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Arizona State University (Publisher)
Created2014
Description
Immunotherapy has been revitalized with the advent of immune checkpoint blockade
treatments, and neo-antigens are the targets of immune system in cancer patients who
respond to the treatments. The cancer vaccine field is focused on using neo-antigens from
unique point mutations of genomic sequence in the cancer patient for making
personalized cancer vaccines. However, we choose a different path to find frameshift
neo-antigens at the mRNA level and develop broadly effective cancer vaccines based on
frameshift antigens.
In this dissertation, I have summarized and characterized all the potential frameshift
antigens from microsatellite regions in human, dog and mouse. A list of frameshift
antigens was validated by PCR in tumor samples and the mutation rate was calculated for
one candidate – SEC62. I develop a method to screen the antibody response against
frameshift antigens in human and dog cancer patients by using frameshift peptide arrays.
Frameshift antigens selected by positive antibody response in cancer patients or by MHC
predictions show protection in different mouse tumor models. A dog version of the
cancer vaccine based on frameshift antigens was developed and tested in a small safety
trial. The results demonstrate that the vaccine is safe and it can induce strong B and T cell
immune responses. Further, I built the human exon junction frameshift database which
includes all possible frameshift antigens from mis-splicing events in exon junctions, and I
develop a method to find potential frameshift antigens from large cancer
immunosignature dataset with these databases. In addition, I test the idea of ‘early cancer
diagnosis, early treatment’ in a transgenic mouse cancer model. The results show that
ii
early treatment gives significantly better protection than late treatment and the correct
time point for treatment is crucial to give the best clinical benefit. A model for early
treatment is developed with these results.
Frameshift neo-antigens from microsatellite regions and mis-splicing events are
abundant at mRNA level and they are better antigens than neo-antigens from point
mutations in the genomic sequences of cancer patients in terms of high immunogenicity,
low probability to cause autoimmune diseases and low cost to develop a broadly effective
vaccine. This dissertation demonstrates the feasibility of using frameshift antigens for
cancer vaccine development.
treatments, and neo-antigens are the targets of immune system in cancer patients who
respond to the treatments. The cancer vaccine field is focused on using neo-antigens from
unique point mutations of genomic sequence in the cancer patient for making
personalized cancer vaccines. However, we choose a different path to find frameshift
neo-antigens at the mRNA level and develop broadly effective cancer vaccines based on
frameshift antigens.
In this dissertation, I have summarized and characterized all the potential frameshift
antigens from microsatellite regions in human, dog and mouse. A list of frameshift
antigens was validated by PCR in tumor samples and the mutation rate was calculated for
one candidate – SEC62. I develop a method to screen the antibody response against
frameshift antigens in human and dog cancer patients by using frameshift peptide arrays.
Frameshift antigens selected by positive antibody response in cancer patients or by MHC
predictions show protection in different mouse tumor models. A dog version of the
cancer vaccine based on frameshift antigens was developed and tested in a small safety
trial. The results demonstrate that the vaccine is safe and it can induce strong B and T cell
immune responses. Further, I built the human exon junction frameshift database which
includes all possible frameshift antigens from mis-splicing events in exon junctions, and I
develop a method to find potential frameshift antigens from large cancer
immunosignature dataset with these databases. In addition, I test the idea of ‘early cancer
diagnosis, early treatment’ in a transgenic mouse cancer model. The results show that
ii
early treatment gives significantly better protection than late treatment and the correct
time point for treatment is crucial to give the best clinical benefit. A model for early
treatment is developed with these results.
Frameshift neo-antigens from microsatellite regions and mis-splicing events are
abundant at mRNA level and they are better antigens than neo-antigens from point
mutations in the genomic sequences of cancer patients in terms of high immunogenicity,
low probability to cause autoimmune diseases and low cost to develop a broadly effective
vaccine. This dissertation demonstrates the feasibility of using frameshift antigens for
cancer vaccine development.
ContributorsZhang, Jian (Author) / Johnston, Stephen Albert (Thesis advisor) / Chang, Yung (Committee member) / Stafford, Phillip (Committee member) / Chen, Qiang (Committee member) / Arizona State University (Publisher)
Created2018
Description
Programmed cell death plays an important role in a variety of processes that promote the survival of the host organism. Necroptosis, a form of programmed cell death, occurs through a signaling pathway involving receptor-interacting serine-threonine protein kinase 3 (RIPK3). In response to vaccinia virus infection, necroptosis is induced through DNA-induced activator of interferon (DAI), which activates RIPK3, leading to death of the cell and thereby inhibiting further viral replication in host cells. DAI also localizes into stress granules, accumulations of mRNAs that have stalled in translation due to cellular stress. The toxin arsenite, a canonical inducer of stress granule formation, was used in this project to study necroptosis. By initiating necroptosis with arsenite and vaccinia virus, this research project investigated the roles of necroptosis proteins and their potential localization into stress granules. The two aims of this research project were to determine whether stress granules are important for arsenite- and virus-induced necroptosis, and whether the proteins DAI and RIPK3 localize into stress granules. The first aim was investigated by establishing a DAI and RIPK3 expression system in U2OS cells; arsenite treatment or vaccinia virus infection was then performed on the U2OS cells as well as on U2OSΔΔG3BP1/2 cells, which are not able to form stress granules. The second aim was carried out by designing fluorescent tagging for the necroptosis proteins in order to visualize protein localization with fluorescent microscopy. The results show that arsenite induces DAI-dependent necroptosis in U2OS cells and that this arsenite-induced necroptosis likely requires stress granules. In addition, the results show that vaccinia virus induces DAI-dependent necroptosis that also likely requires stress granules in U2OS cells. Furthermore, a fluorescent RIPK3 construct was created that will allowfor future studies on protein localization during necroptosis and can be used to answer questions regarding localization of necroptosis proteins into stress granules. This project therefore contributes to a greater understanding of the roles of DAI and RIPK3 in necroptosis, as well as the roles of stress granules in necroptosis, both of which are important in research regarding viral infection and cellular stress.
ContributorsGogerty, Carolina (Author) / Jacobs, Bertram (Thesis advisor) / Langland, Jeffrey (Committee member) / Jentarra, Garilyn (Committee member) / Arizona State University (Publisher)
Created2021