Matching Items (9)
Description
Immunosignaturing is a medical test for assessing the health status of a patient by applying microarrays of random sequence peptides to determine the patient's immune fingerprint by associating antibodies from a biological sample to immune responses. The immunosignature measurements can potentially provide pre-symptomatic diagnosis for infectious diseases or detection of biological threats. Currently, traditional bioinformatics tools, such as data mining classification algorithms, are used to process the large amount of peptide microarray data. However, these methods generally require training data and do not adapt to changing immune conditions or additional patient information. This work proposes advanced processing techniques to improve the classification and identification of single and multiple underlying immune response states embedded in immunosignatures, making it possible to detect both known and previously unknown diseases or biothreat agents. Novel adaptive learning methodologies for un- supervised and semi-supervised clustering integrated with immunosignature feature extraction approaches are proposed. The techniques are based on extracting novel stochastic features from microarray binding intensities and use Dirichlet process Gaussian mixture models to adaptively cluster the immunosignatures in the feature space. This learning-while-clustering approach allows continuous discovery of antibody activity by adaptively detecting new disease states, with limited a priori disease or patient information. A beta process factor analysis model to determine underlying patient immune responses is also proposed to further improve the adaptive clustering performance by formatting new relationships between patients and antibody activity. In order to extend the clustering methods for diagnosing multiple states in a patient, the adaptive hierarchical Dirichlet process is integrated with modified beta process factor analysis latent feature modeling to identify relationships between patients and infectious agents. The use of Bayesian nonparametric adaptive learning techniques allows for further clustering if additional patient data is received. Significant improvements in feature identification and immune response clustering are demonstrated using samples from patients with different diseases.
ContributorsMalin, Anna (Author) / Papandreou-Suppappola, Antonia (Thesis advisor) / Bliss, Daniel (Committee member) / Chakrabarti, Chaitali (Committee member) / Kovvali, Narayan (Committee member) / Lacroix, Zoé (Committee member) / Arizona State University (Publisher)
Created2013
Description
The NLR family, pyrin domain-containing 3 (NLRP3) inflammasome is essential for the innate immune response to danger signals. Importantly, the NLRP3 inflammasome responds to structurally and functionally dissimilar stimuli. It is currently unknown how the NLRP3 inflammasome responds to such diverse triggers. This dissertation investigates the role of ion flux in regulating the NLRP3 inflammasome. Project 1 explores the relationship between potassium efflux and Syk tyrosine kinase. The results reveal that Syk activity is upstream of mitochondrial oxidative signaling and is crucial for inflammasome assembly, pro-inflammatory cytokine processing, and caspase-1-dependent pyroptotic cell death. Dynamic potassium imaging and molecular analysis revealed that Syk is downstream of, and regulated by, potassium efflux. Project 1 reveals the first identified intermediate regulator of inflammasome activity regulated by potassium efflux. Project 2 focuses on P2X7 purinergic receptor-dependent ion flux in regulating the inflammasome. Dynamic potassium imaging revealed an ATP dose-dependent efflux of potassium driven by P2X7. Surprisingly, ATP induced mitochondrial potassium mobilization, suggesting a mitochondrial detection of purinergic ion flux. ATP-induced potassium and calcium flux was found to regulate mitochondrial oxidative signaling upstream of inflammasome assembly. First-ever multiplexed imaging of potassium and calcium dynamics revealed that potassium efflux is necessary for calcium influx. These results suggest that ATP-induced potassium efflux regulates the inflammasome by calcium influx-dependent mitochondrial oxidative signaling. Project 2 defines a coordinated cation flux dependent on the efflux of potassium and upstream of mitochondrial oxidative signaling in inflammasome regulation. Lastly, this dissertation contributes two methods that will be useful for investigating inflammasome biology: an optimized pipeline for single cell transcriptional analysis, and a mouse macrophage cell line expressing a genetically encoded intracellular ATP sensor. This dissertation contributes to understanding the fundamental role of ion flux in regulation of the NLRP3 inflammasome and identifies potassium flux and Syk as potential targets to modulate inflammation.
ContributorsYaron, Jordan Robin (Author) / Meldrum, Deirdre R (Thesis advisor) / Blattman, Joseph N (Committee member) / Glenn, Honor L (Committee member) / Arizona State University (Publisher)
Created2015
Description
Diseases have been part of human life for generations and evolve within the population, sometimes dying out while other times becoming endemic or the cause of recurrent outbreaks. The long term influence of a disease stems from different dynamics within or between pathogen-host, that have been analyzed and studied by many researchers using mathematical models. Co-infection with different pathogens is common, yet little is known about how infection with one pathogen affects the host's immunological response to another. Moreover, no work has been found in the literature that considers the variability of the host immune health or that examines a disease at the population level and its corresponding interconnectedness with the host immune system. Knowing that the spread of the disease in the population starts at the individual level, this thesis explores how variability in immune system response within an endemic environment affects an individual's vulnerability, and how prone it is to co-infections. Immunology-based models of Malaria and Tuberculosis (TB) are constructed by extending and modifying existing mathematical models in the literature. The two are then combined to give a single nine-variable model of co-infection with Malaria and TB. Because these models are difficult to gain any insight analytically due to the large number of parameters, a phenomenological model of co-infection is proposed with subsystems corresponding to the individual immunology-based model of a single infection. Within this phenomenological model, the variability of the host immune health is also incorporated through three different pathogen response curves using nonlinear bounded Michaelis-Menten functions that describe the level or state of immune system (healthy, moderate and severely compromised). The immunology-based models of Malaria and TB give numerical results that agree with the biological observations. The Malaria--TB co-infection model gives reasonable results and these suggest that the order in which the two diseases are introduced have an impact on the behavior of both. The subsystems of the phenomenological models that correspond to a single infection (either of Malaria or TB) mimic much of the observed behavior of the immunology-based counterpart and can demonstrate different behavior depending on the chosen pathogen response curve. In addition, varying some of the parameters and initial conditions in the phenomenological model yields a range of topologically different mathematical behaviors, which suggests that this behavior may be able to be observed in the immunology-based models as well. The phenomenological models clearly replicate the qualitative behavior of primary and secondary infection as well as co-infection. The mathematical solutions of the models correspond to the fundamental states described by immunologists: virgin state, immune state and tolerance state. The phenomenological model of co-infection also demonstrates a range of parameter values and initial conditions in which the introduction of a second disease causes both diseases to grow without bound even though those same parameters and initial conditions did not yield unbounded growth in the corresponding subsystems. This results applies to all three states of the host immune system. In terms of the immunology-based system, this would suggest the following: there may be parameter values and initial conditions in which a person can clear Malaria or TB (separately) from their system but in which the presence of both can result in the person dying of one of the diseases. Finally, this thesis studies links between epidemiology (population level) and immunology in an effort to assess the impact of pathogen's spread within the population on the immune response of individuals. Models of Malaria and TB are proposed that incorporate the immune system of the host into a mathematical model of an epidemic at the population level.
ContributorsSoho, Edmé L (Author) / Wirkus, Stephen (Thesis advisor) / Castillo-Chavez, Carlos (Thesis advisor) / Chowell-Puente, Gerardo (Committee member) / Arizona State University (Publisher)
Created2011
Description
In humans, infections, disease, inflammation, and other injuries to specific tissues have been shown to cause delays in the onset of puberty. It is known that steroid hormones and insulin play a role in these delays, yet it is not understood what is happening with the immune system during this response. Similar results have been found in the fruit fly, Drosophila melanogaster, in which damage to adult precursor tissues triggers developmental delays. This project addresses the immune component of the injury response in Drosophila. The goal is to identify which immune response genes, if any, show a significant change in expression after injury. The general methodologies used were first inducing injury via a temperature- sensitive expression of cell death genes in wing precursor tissues, then examining changes in gene expression of immune response genes before and after injury using real-time PCR. The results show that injury increases the expression of genes Drs, CecA1, and Def while decreasing expression of Rel, Dpt, PGRP-LE, and Tl. The changes in immune gene expression following injury suggest the possibility of an immune component to the systemic injury response. These results can further be explored by using mutations of the immune genes to examine their direct effects on the systemic injury response. This research can eventually lead to preventative measures to protect against developmental delays due to infections and diseases in humans.
ContributorsDuprey, Deanna Jeanette (Author) / Hackney, Jennifer (Thesis director) / Marshall, Pamela (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Natural Sciences (Contributor) / School of Social and Behavioral Sciences (Contributor)
Created2014-12
Description
CTB-MPR649-684 is a translational fusion protein consisting of the cholera toxin B subunit (CTB) and the conserved residues 649-684 of gp41 membrane proximal region (MPR). It is a candidate vaccine component aimed at early steps of the HIV-1 infection by blocking viral mucosal transmission. Bacterially produced CTB-MPR was previously shown to induce HIV-1 transcytosis-blocking antibodies in mice and rabbits. However, the induction of high-titer MPR specific antibodies with HIV-1 transcytosis blocking ability remains a challenge as the immuno-dominance of CTB overshadows the response to MPR. X-ray crystallography was used to investigate the structure of CTB-MPR with the goal of identifying potential solutions to improve the immune response of MPR. Various CTB-MPR variants were designed using different linkers connecting the two fusion proteins. The procedures for over-expression E. coli and purification have been optimized for each of the variants of CTB-MPR. The purity and oligomeric homogeneity of the fusion protein was demonstrated by electrophoresis, size-exclusion chromatography, dynamic light scattering, and immuno-blot analysis. Crystallization conditions for macroscopic and micro
ano-crystals have been established for the different variants of the fusion protein. Diffraction patterns were collected by using both conventional and serial femto-second crystallography techniques. The two crystallography techniques showed very interesting differences in both the crystal packing and unit cell dimensions of the same CTB-MPR construct. Although information has been gathered on CTB-MPR, the intact structure of fusion protein was not solved as the MPR region showed only weak electron density or was cleaved during crystallization of macroscopic crystals. The MPR region is present in micro
ano-crystals, but due to the severe limitation of the Free Electron Laser beamtime, only a partial data set was obtained and is insufficient for structure determination. However, the work of this thesis has established methods to purify large quantities of CTB-MPR and has established procedures to grow crystals for X-ray structure analysis. This has set the foundation for future structure determination experiments as well as immunization studies.
ano-crystals have been established for the different variants of the fusion protein. Diffraction patterns were collected by using both conventional and serial femto-second crystallography techniques. The two crystallography techniques showed very interesting differences in both the crystal packing and unit cell dimensions of the same CTB-MPR construct. Although information has been gathered on CTB-MPR, the intact structure of fusion protein was not solved as the MPR region showed only weak electron density or was cleaved during crystallization of macroscopic crystals. The MPR region is present in micro
ano-crystals, but due to the severe limitation of the Free Electron Laser beamtime, only a partial data set was obtained and is insufficient for structure determination. However, the work of this thesis has established methods to purify large quantities of CTB-MPR and has established procedures to grow crystals for X-ray structure analysis. This has set the foundation for future structure determination experiments as well as immunization studies.
ContributorsLee, Ho-Hsien (Author) / Fromme, Petra (Thesis advisor) / Mor, Tsafrir (Committee member) / Ros, Alexandra (Committee member) / Arizona State University (Publisher)
Created2015
Description
In 2004, a team of researchers at Tufts-New England
Medical Center in Boston, Massachusetts, investigated the fetal
cells that remained in the maternal blood stream after pregnancy.
The results were published in Transfer of Fetal Cells with
Multilineage Potential to Maternal Tissue. The team working on that
research included Kiarash Khosrotehrani, Kirby L. Johnson, Dong
Hyun Cha, Robert N. Salomon, and Diana W. Bianchi. The researchers
reported that the fetal cells passed to a pregnant woman during
pregnancy could develop into multiple cell types in her organs. They
studied these differentiated fetal cells in a cohort of women
fighting different diseases. The researchers found that the fetal
cells in the women differentiated into different cell types under
the influence of maternal tissues, and that those differentiated
cells concentrated in the tissue surrounding diseased tissues.
According to the team, this response could be a therapeutic response
to the disease in the once pregnant woman. The research indicated the long
lasting effects of pregnancy in a woman's body.
ContributorsAbboud, Alexis (Author) / Turriziani Colonna, Federica (Editor) / Arizona State University. School of Life Sciences. Center for Biology and Society. Embryo Project Encyclopedia. (Publisher) / Arizona Board of Regents (Publisher)
Created2014-11-14
Description
Discovering more about social hierarchies within groups of mice and the underlying brain mechanisms supporting differences in dominance is essential to understanding social roles and individuality. In this study, we aimed to discover if a novel dominance assay is able to determine social hierarchies in groups of three, as well as how this novel assay compares to a classic dominance tube test. SLEAP software, a machine learning tool, was used to analyze the behaviors of the mice in the novel dominance apparatus. In addition, cytokine levels were collected from the mice to assess possible correlations between hierarchical standing and presence of inflammatory agents.
ContributorsFarrington, Jaime (Author) / Verpeut, Jessica (Thesis director) / Bimonte-Nelson, Heather (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2024-05
Description
Traumatic brain injury (TBI) poses a significant global health concern with substantial health and economic consequences. Patients often face significant consequences after injury, notably persistent cognitive changes and an increased risk of developing neurodegenerative disease later in life. Apart from the immediate insult, the resulting inflammatory response can lead to neuroinflammation, oxidative stress, tissue death, and long-term neurodegeneration. Microglia and astrocytes play critical roles in these inflammatory processes, emphasizing the unmet need for targeted therapies. Vaccine formulations consisting of poly (a-ketoglutarate) (paKG) microparticles (MPs) encapsulating PFK15 (1-(4-pyridinyl)-3-(2-quinolinyl)-2-propen-1-one) and myelin proteolipid protein (PLP) were developed for prior studies and have demonstrated the production of antigen-specific adaptive T-cell responses in the brain, spleen, and lymph nodes of mice, suggesting that these formulations may be able to prevent neuronal inflammation in mice after TBI. The vaccine efficacy was further evaluated through the image analysis of immunohistochemically stained brain tissue sections from naive, saline, and paKG(PFK15+PLP) MPs or paKG(PFK15) MPs treated mice. Though microglia (Iba1), astrocytes (GFAP) and CD86 were visualized in this method, only Iba1 was found to be significantly reduced in the contralateral hemisphere for paKG(PFK15+PLP) MPs and paKG(PFK15) MPs groups when compared to naive (p=0.0373 and p=0.0186, respectively). However, the naive group also showed an unexpectedly high level of CD86 after thresholding (compared to the TBI groups), indicating flaws were present in the analysis pipeline. Challenges of the image analysis process included thresholding setting optimization, folded tissues, bubbles, and saturated punctate signal. These issues may have impacted data accuracy, underscoring the need for rigorous optimization of experimental techniques and imaging methodologies when evaluating the therapeutic potential of the vaccines in mitigating TBI-induced neuroinflammation. Thus, future analyses should consider microglial morphology and employ more accurate thresholding in FIJI/ImageJ to better measure cellular activation and the overall positive signal.
ContributorsSundem, Andrea (Author) / Stabenfeldt, Sarah (Thesis director) / Willingham, Crystal (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05
Description
Modified Salmonella strains and recombinant DNA in a plasmid are used to construct a
Salmonella strain that is dependent on the experimentally inserted plasmid. This construction
will be done via lab techniques such as polymerase chain reactions (PCR), transformation, and other means to create this construction. With future successful construction, the inhibition of flagella assembly, within the tumor environment, and increased synthesis of flagellin will be
possible. In the case that only assembly is prevented, then, the reliance on the lysis system to
release flagellin into the tumor microenvironment will be used as a means to induce immune
response. With the success of the self-lysis ability, these strains could be used to target these
tumor cells to deliver anticancer material as a vaccine delivery system.
ContributorsShagi, Agnel (Author) / Kong, Wei (Thesis director) / Fu, Lingchen (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2024-05