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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

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
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Cancer remains one of the leading killers throughout the world. Death and disability due to lung cancer in particular accounts for one of the largest global economic burdens a disease presents. The burden on third-world countries is especially large due to the unusually large financial stress that comes from

Cancer remains one of the leading killers throughout the world. Death and disability due to lung cancer in particular accounts for one of the largest global economic burdens a disease presents. The burden on third-world countries is especially large due to the unusually large financial stress that comes from late tumor detection and expensive treatment options. Early detection using inexpensive techniques may relieve much of the burden throughout the world, not just in more developed countries. I examined the immune responses of lung cancer patients using immunosignatures – patterns of reactivity between host serum antibodies and random peptides. Immunosignatures reveal disease-specific patterns that are very reproducible. Immunosignaturing is a chip-based method that has the ability to display the antibody diversity from individual sera sample with low cost. Immunosignaturing is a medical diagnostic test that has many applications in current medical research and in diagnosis. From a previous clinical study, patients diagnosed for lung cancer were tested for their immunosignature vs. healthy non-cancer volunteers. The pattern of reactivity against the random peptides (the ‘immunosignature’) revealed common signals in cancer patients, absent from healthy controls. My study involved the search for common amino acid motifs in the cancer-specific peptides. My search through the hundreds of ‘hits’ revealed certain motifs that were repeated more times than expected by random chance. The amino acids that were the most conserved in each set include tryptophan, aspartic acid, glutamic acid, proline, alanine, serine, and lysine. The most overall conserved amino acid observed between each set was D - aspartic acid. The motifs were short (no more than 5-6 amino acids in a row), but the total number of motifs I identified was large enough to assure significance. I utilized Excel to organize the large peptide sequence libraries, then CLUSTALW to cluster similar-sequence peptides, then GLAM2 to find common themes in groups of peptides. In so doing, I found sequences that were also present in translated cancer expression libraries (RNA) that matched my motifs, suggesting that immunosignatures can find cancer-specific antigens that can be both diagnostic and potentially therapeutic.
ContributorsShiehzadegan, Shima (Author) / Johnston, Stephen (Thesis director) / Stafford, Phillip (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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Description

Vaccines are modern medicine’s best way of combating the majority of viral and bacterial illnesses and contagions to date. Thanks to the introduction of vaccines since the first uses of them in 1796 (Jenner’s smallpox vaccine), they have drastically reduced figures of disease worldwide, turning once lethal and life changing

Vaccines are modern medicine’s best way of combating the majority of viral and bacterial illnesses and contagions to date. Thanks to the introduction of vaccines since the first uses of them in 1796 (Jenner’s smallpox vaccine), they have drastically reduced figures of disease worldwide, turning once lethal and life changing conditions into minor annoyances; Some of these afflictions have even become nonexistent or even extinct in certain parts of the world outside of a controlled laboratory setting. With many advancements and overwhelming evidence proving their efficiency, it is clear that vaccines have become nothing less than a necessity for everyday healthcare in today’s world. <br/>The greatest contributor to the creation and evolution of vaccines throughout the years is by far the progress and work done in the field of molecular and cellular biology. These advancements have become the bedrock of modern vaccination, as shown by the differing types of vaccines and their methodology. The most common varieties of vaccines are include ‘dead’ or inactivated vaccines, one such example being the pertussis strain of vaccines, which have either dead or torn apart cells for the body to easily fight off, allowing the immune system to easily and quickly counter the illness; Additionally, there are also live attenuated vaccines (LAVs) in which a weaker version of the pathogen is introduced to the body to stimulate an immune response, or a recombinant mRNA vaccine where mRNA containing the coding for an antigen is presented for immunological response, the latter being what the current COVID-19 vaccines are based on. This is in part aided by the presence of immunological adjuvants, antigens and substances that the immune system can recognize, target, and remember for future infections. However, for more serious illnesses the body needs a bigger threat to analyze, which leads to live vaccines- instead of dead or individual components of a potential pathogen, a weakened version is created in the lab to allow the body to combat it. The idea behind this is the same, but to a larger degree so a more serious illness such as measles, mumps, and rubella (MMR) do not infect us.<br/>However, for the past couple of decades the public’s views on vaccination has greatly varied, with the rise of fear and disinformation leading those to believe that modern medicine is a threat in disguise. The largest of these arguments began in the late 90’s, when Dr. Andrew Wakefield published an article under the Lancet with false information connecting vaccinations to the occurrence of autism in younger children- a theory which has since then been proven incorrect numerous times over. Unfortunately, the rise of hysteria and paranoia in people, along with more misinformation from misleading sources, have strengthened the anti-vaccination cause and has made it into a serious threat to the health of those world-wide.<br/>The aim of this thesis is to provide an accurate and thorough analysis on these three themes- the history of vaccines, their inner workings and machinations in providing immune defenses for the body, and the current controversy of the anti-vaccination movement. Additionally, there will be two other sections going in-depth on two specific areas where vaccination is highly important; The spread and fear of the Human Immunodeficiency Virus (HIV) has been around for nearly four decades, so it begs the question: what makes this such a difficult virus, and how can a vaccine be created to combat it? Additionally, in the last year the world has encountered a new virus that has evolved into a global pandemic, SARS-COV 2. This new strain of coronavirus has shown itself to be highly contagious and rapidly mutating, and the race to quickly develop a vaccine to counteract it has been on-going since its first major infections in Wuhan, China. Overall, this thesis will go in-depth in providing the most accurate, up-to-date, and critical information regarding vaccinations today.

ContributorsKolb Celaya, Connor Emilio (Author) / Topal, Emel (Thesis director) / Huffman, Holly (Committee member) / College of Integrative Sciences and Arts (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
White-nose syndrome (WNS) is a fungal infection devastating bat populations throughout eastern North America. WNS is caused by a fungus, Pseudogymnoascus destructans (Pd), that invades the skin of hibernating bats. While there are a number of treatments being researched, there is currently no effective treatment for WNS that is deployed

White-nose syndrome (WNS) is a fungal infection devastating bat populations throughout eastern North America. WNS is caused by a fungus, Pseudogymnoascus destructans (Pd), that invades the skin of hibernating bats. While there are a number of treatments being researched, there is currently no effective treatment for WNS that is deployed in the field, except a few being tested on a limited scale. Bats have lowered immune function and response during hibernation, which may increase susceptibility to infection during the winter months. Antimicrobial peptides (AMPs) are a crucial component of the innate immune system and serve as barriers against infection. AMPs are constitutively expressed on skin and facilitate wound healing, stimulate other immune responses, and may also stay active on bat skin during hibernation. AMPs are expressed by all tissues, have direct killing abilities against microbes, and are a potential treatment for bats infected with Pd. In this investigation, the fungicidal activity of several readily available commercial AMPs were compared, and killing assay protocols previously investigated by Frasier and Lake were replicated to establish a control trial for use in future killing assays. Another aim of this investigation was to synthesize a bat-derived AMP for use in the killing assay. Sequences of bat-derived AMPs have been identified in bat skin samples obtained from a large geographic sampling of susceptible and resistant species. Contact was made with GenScript Inc., the company from which commercially available AMPs were purchased, to determine the characteristics of peptide sequences needed to synthesize an AMP for lab use. Based on recommendations from GenScript Inc., peptide sequences need to have a hydrophobicity of less than 50% and a sequence length of less than 50 amino acids. These criteria serve as a potential barrier because none of the known bat-derived sequences analyzed satisfy both of these requirements. The final aim of this study was to generate a conceptual model of the immune response molecules activated when bats are exposed to a fungal pathogen such as Pd. Overall, this work investigated sources of variability between trials of the killing assay, analyzed known bat-derived peptide sequences, and generated a conceptual model that will serve as a guideline for identification of immune response molecules on the skin of bats in future proteomics work.
ContributorsBarton, Madisen L (Author) / Moore, Marianne (Thesis director) / Penton, Christopher (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
Phytohemagglutinin (PHA) is a plant lectin commonly used to stimulate and test responses of the immune system and is known to induce T cell proliferation, agglutinate human leukocytes, and yield adjustments in lymphocyte populations. What is not well know is how responses to PHA correlate with a host's ability to

Phytohemagglutinin (PHA) is a plant lectin commonly used to stimulate and test responses of the immune system and is known to induce T cell proliferation, agglutinate human leukocytes, and yield adjustments in lymphocyte populations. What is not well know is how responses to PHA correlate with a host's ability to resist or recover from pathogen invasion. This study uses information from previously published studies to determine whether or not PHA can be a good indicator of disease severity or disease resistance in a host. With PHA having the abilities that it does, immune responses to PHA may correlate with responses important for pathogen resistance and clearance. Such a relationship could only be uncovered if in vivo or in vitro responses to PHA are measured and, independent from the PHA challenge, symptoms and/or mortality rates of hosts are documented after pathogen exposure. An in vitro response can be detected by measuring cellular proliferation in response to PHA followed by separate cell cultures exposed to a pathogen. While an in vivo response can be detected by measuring variation in swelling in response to an injection of PHA. In reviewing a broad range of articles that meet my criteria, the majority of articles failed to show a strong relationship between PHA and disease severity or disease resistance. Therefore, immunologists must consider the usefulness of the PHA tests as a measure of immunocompetence, which is a host's ability to predict response to a pathogen. According to the literature, using PHA does not predict responses to pathogen invasion. However, it is possible that with carefully designed experiments, it could be determined that PHA does provide an indication of pathogen resistance in certain host species exposed to specific pathogen.
ContributorsMackey, Tracy Michelle (Author) / Moore, Marianne (Thesis director) / Penton, Ryan (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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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

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
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Description
Peptide microarrays are to proteomics as sequencing is to genomics. As microarrays become more content-rich, higher resolution proteomic studies will parallel deep sequencing of nucleic acids. Antigen-antibody interactions can be studied at a much higher resolution using microarrays than was possible only a decade ago. My dissertation focuses on testing

Peptide microarrays are to proteomics as sequencing is to genomics. As microarrays become more content-rich, higher resolution proteomic studies will parallel deep sequencing of nucleic acids. Antigen-antibody interactions can be studied at a much higher resolution using microarrays than was possible only a decade ago. My dissertation focuses on testing the feasibility of using either the Immunosignature platform, based on non-natural peptide sequences, or a pathogen peptide microarray, which uses bioinformatically-selected peptides from pathogens for creating sensitive diagnostics. Both diagnostic applications use relatively little serum from infected individuals, but each approaches diagnosis of disease differently. The first project compares pathogen epitope peptide (life-space) and non-natural (random-space) peptide microarrays while using them for the early detection of Coccidioidomycosis (Valley Fever). The second project uses NIAID category A, B and C priority pathogen epitope peptides in a multiplexed microarray platform to assess the feasibility of using epitope peptides to simultaneously diagnose multiple exposures using a single assay. Cross-reactivity is a consistent feature of several antigen-antibody based immunodiagnostics. This work utilizes microarray optimization and bioinformatic approaches to distill the underlying disease specific antibody signature pattern. Circumventing inherent cross-reactivity observed in antibody binding to peptides was crucial to achieve the goal of this work to accurately distinguishing multiple exposures simultaneously.
ContributorsNavalkar, Krupa Arun (Author) / Johnston, Stephen A. (Thesis advisor) / Stafford, Phillip (Thesis advisor) / Sykes, Kathryn (Committee member) / Jacobs, Bertram (Committee member) / Arizona State University (Publisher)
Created2014
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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,

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.
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