Matching Items (57)
Description
IOsteosarcoma is the most common bone cancer and typically affects patients in the second decade of life. Current treatment methods have not proven effective for treating reoccurring or metastatic osteosarcoma (mOS) given the 5-year survival rate of 15-30%. Previous work showed that using the immune system to fight the cancer significantly improved survival of mOS in mice, but approximately 40-50% of treated mice still succumbed to disease. To further improve immunotherapy, I analyzed immune cells in the tumor bed and observed high numbers of a rare T cell subtype: CD4hiCD8αhi, or double positive (DP), T cells. While previous literature found mature DP T cells in chronic diseases, the associations and functions of this rare T cell subtype varied between studies and were unknown for mOS. Controlling for age, chronicity of disease, and environmental exposure, I found DP T cells composed a higher percentage of T cells in the cancer as tumor burden increased. I then tested whether the DP cells were pro- or anti-tumor. I found that DP cells produced the cytokines IFNγ and IL-2 when exhaustion was overcome. They also expressed FasL for cytotoxic function, although the target is unknown. These findings suggest DP T cells have multifunctionality, which could be advantageous when responding to high antigen load.
II
Course-based undergraduate research experiences (CUREs) offer students opportunities to engage in critical thinking and problem solving. However, quantitating the impact that incorporating research into undergraduate courses has on student learning has been difficult since most CUREs lack a comparable traditional course as a control. Because the overall class structure remained unaltered when our upper division immunology course transitioned to a CURE class, we realized retrospectively that we were in a unique position to quantitate the impact of incorporating research on student performance. I then analyzed the summative assessments used to assess student learning and found that students in the CURE format class performed significantly better on quizzes, exams, and reports. There were no significant differences in academic levels, degree programs, or grade point averages, suggesting improved performance was due to increased engagement of students in research.
ContributorsAppel, Nicole (Author) / Blattman, Joseph (Thesis advisor) / Anderson, Karen (Committee member) / Lake, Douglas (Committee member) / Hingorani, Pooja (Committee member) / Arizona State University (Publisher)
Created2022
Description
Computational models have long been used to describe and predict the outcome of complex immunological processes. The dissertation work described here centers on the construction of multiscale computational immunology models that derives biological insights at the population, systems, and atomistic levels. First, SARS-CoV-2 mortality is investigated through the lens of the predicted robustness of CD8+ T cell responses in 23 different populations. The robustness of CD8+ T cell responses in a given population was modeled by predicting the efficiency of endemic MHC-I protein variants to present peptides derived from SARS-CoV-2 proteins to circulating T cells. To accomplish this task, an algorithm, called EnsembleMHC, was developed to predict viral peptides with a high probability of being recognized by CD T cells. It was discovered that there was significant variation in the efficiency of different MHC-I protein variants to present SARS-CoV-2 derived peptides, and countries enriched with variants with high presentation efficiency had significantly lower mortality rates. Second, a biophysics-based MHC-I peptide prediction algorithm was developed. The MHC-I protein is the most polymorphic protein in the human genome with polymorphisms in the peptide binding causing striking changes in the amino acid compositions, or binding motifs, of peptide species capable of stable binding. A deep learning model, coined HLA-Inception, was trained to predict peptide binding using only biophysical properties, namely electrostatic potential. HLA-Inception was shown to be extremely accurate and efficient at predicting peptide binding motifs and was used to determine the peptide binding motifs of 5,821 MHC-I protein variants. Finally, the impact of stalk glycosylations on NL63 protein dynamics was investigated. Previous data has shown that coronavirus crown glycans play an important role in immune evasion and receptor binding, however, little is known about the role of the stalk glycans. Through the integration of computational biology, experimental data, and physics-based simulations, the stalk glycans were shown to heavily influence the bending angle of spike protein, with a particular emphasis on the glycan at position 1242. Further investigation revealed that removal of the N1242 glycan significantly reduced infectivity, highlighting a new potential therapeutic target. Overall, these investigations and associated innovations in integrative modeling.
ContributorsWilson, Eric Andrew (Author) / Anderson, Karen (Thesis advisor) / Singharoy, Abhishek (Thesis advisor) / Woodbury, Neal (Committee member) / Sulc, Petr (Committee member) / Arizona State University (Publisher)
Created2022
Description
Autoimmunity develops when the immune system targets self-antigens within the body. Rheumatoid arthritis (RA) is a common autoimmune disease, and its progression is characterized by pro-inflammatory immune cells rapidly proliferating, migrating, and infiltrating joint tissue to provoke inflammation. In order to fulfill this taxing autoreactive response, an increase in energy metabolism is required by immune cells, such as dendritic cells (DCs). Therefore, a shift in DC energy reliance from the Krebs cycle toward glycolysis occurs. This metabolic shift phenotypically transitions DCs from anti-inflammatory properties toward an aggressive pro-inflammatory phenotype, in turn activating pro-inflammatory T cells and promoting RA pathogenesis. If the disease persists uncontrollably, further complications and eventual joint dysfunction can occur. Although, clinically approved drugs can prevent RA progression, they require frequent administration for temporary symptom relief. Furthermore, current approved biological products for RA are not known to have a direct modulatory effect on immunometabolism. Given that cellular metabolism controls immune cell function, this work aims to harness perturbations within RA immune cell energy metabolism and utilizes it as a therapeutic target by reprogramming immune cell metabolism via the delivery of metabolite-based particles. The two-time delivery of these particles reduced RA inflammation in a RA collagen-induced arthritis (CIA) mouse model and generated desired responses with long-term effects. Specifically, this work was achieved by:
Aim 1 – developing and delivering metabolite-based polymeric microparticles synthesized from the Krebs cycle metabolite, alpha-ketoglutarate (aKG; termed paKG MPs) to DCs to modulate their energy metabolism and promote anti-inflammatory properties (in context of RA).
Aim 2 – exploiting the encapsulation ability of paKG MPs to inhibit DC glycolysis in the presence of the CIA self-antigen (collagen type II (bc2)) for the treatment of RA in CIA mice. Herein, paKG MPs encapsulating a glycolytic inhibitor and bc2 induce an anti-inflammatory DC phenotype in vitro and generate suppressive bc2-specific T cell responses and reduce paw inflammation in CIA mice.
ContributorsMangal, Joslyn Lata (Author) / Acharya, Abhinav P (Thesis advisor) / Florsheim, Esther B (Committee member) / Wu, Hsin-Jung Joyce (Committee member) / Anderson, Karen (Committee member) / Arizona State University (Publisher)
Created2022
Description
Adoptive transfer of T cells engineered to express synthetic antigen-specific T cell receptors (TCRs) has provocative therapeutic applications for treating cancer. However, expressing these synthetic TCRs in a CD4+ T cell line is a challenge. The CD4+ Jurkat T cell line expresses endogenous TCRs that compete for space, accessory proteins, and proliferative signaling, and there is the potential for mixed dimer formation between the α and β chains of the endogenous receptor and that of the synthetic cancer-specific TCRs. To prevent hybridization between the receptors and to ensure the binding affinity measured with flow cytometry analysis is between the tetramer and the TCR construct, a CRISPR-Cas9 gene editing pipeline was developed. The guide RNAs (gRNAs) within the complex were designed to target the constant region of the α and β chains, as they are conserved between TCR clonotypes. To minimize further interference and confer cytotoxic capabilities, gRNAs were designed to target the CD4 coreceptor, and the CD8 coreceptor was delivered in a mammalian expression vector. Further, Golden Gate cloning methods were validated in integrating the gRNAs into a CRISPR-compatible mammalian expression vector. These constructs were transfected via electroporation into CD4+ Jurkat T cells to create a CD8+ knockout TCR Jurkat cell line for broadly applicable uses in T cell immunotherapies.
ContributorsHirneise, Gabrielle Rachel (Author) / Anderson, Karen (Thesis advisor) / Mason, Hugh (Committee member) / Lake, Douglas (Committee member) / Arizona State University (Publisher)
Created2020
Description
Glioblastoma (GBM) is a highly invasive and deadly late stage tumor that develops from abnormal astrocytes in the brain. With few improvements in treatment over many decades, median patient survival is only 15 months and the 5-year survival rate hovers at 6%. Numerous challenges are encountered in the development of treatments for GBM. The blood-brain barrier (BBB) serves as a primary obstacle due to its innate ability to prevent unwanted molecules, such as most chemotherapeutics, from entering the brain tissue and reaching malignant cells. The GBM cells themselves serve as a second obstacle, having a high level of genetic and phenotypic heterogeneity. This characteristic improves the probability of a population of cells to have resistance to treatment, which ensures the survival of the tumor. Here, the development and testing of two different modes of therapy for treating GBM is described. These therapeutics were enhanced by pathogenic peptides known to improve entry into brain tissue or to bind GBM cells to overcome the BBB and/or tumor cell heterogeneity. The first therapeutic utilizes a small peptide, RVG-29, derived from the rabies virus glycoprotein to improve brain-specific delivery of nanoparticles encapsulated with a small molecule payload. RVG-29-targeted nanoparticles were observed to reach the brain of healthy mice in higher concentrations 2 hours following intravenous injection compared to control particles. However, targeted camptothecin-loaded nanoparticles were not capable of producing significant treatment benefits compared to non-targeted particles in an orthotopic mouse model of GBM. Peptide degradation following injection was shown to be a likely cause for reduced treatment benefit. The second therapeutic utilizes chlorotoxin, a non-toxic 36-amino acid peptide found in the venom of the deathstalker scorpion, expressed as a fusion to antibody fragments to enhance T cell recognition and killing of GBM. This candidate biologic, known as anti-CD3/chlorotoxin (ACDClx) is expressed as an insoluble protein in Nicotiana benthamiana and Escherichia coli and must be purified in denaturing and reducing conditions prior to being refolded. ACDClx was shown to selectively activate T cells only in the presence of GBM cells, providing evidence that further preclinical development of ACDClx as a GBM immunotherapy is warranted.
ContributorsCook, Rebecca Leanne (Author) / Blattman, Joseph N (Thesis advisor) / Sirianni, Rachael W. (Thesis advisor) / Mor, Tsafrir (Committee member) / Anderson, Karen (Committee member) / Arizona State University (Publisher)
Created2019
Description
T cells, a component of the adaptive immune system, play an instrumental role in directing immune responses and direct cell killing in response to pathogens and cancers. T cells recognize and signal through the T cell receptor, a protein heterodimer on the surface of T cells. The T cell receptor is a highly variable structure formed via somatic recombination; the structure recognizes peptides presented on the surface of nucleated cells by major histocompatibility complex proteins in a specific receptor-restricted, peptide-restricted manner. This balance between T cell diversity and T cell specificity stands as a barrier to efficacious development of articificial T cell receptors capable of clearing disease. T cell receptors may be tailored to produce pathogen- or cancer-specific immune responses from autologous T cell populations. This necessitates a pipeline for amplification, cloning, and expression of antigen-specific T cell receptors. This study aims to utilize influenza-specific T cell receptor chains from healthy donor T cells to test a model for T cell receptor cloning and expression. This study utilizes Gateway recombination for high-throughput cloning into mammalian expression vectors. This study has successfully amplified and cloned T cell receptor chains from a population of influenza-specific T cells from donor cell transcripts into mammalian cell expression vectors. Additionally, CD8, a coreceptor for the T cell receptor complex, was successfully cloned and inserted into a vector for expression in mammalian cells. Sanger sequencing has confirmed sequences for influenza-specific T cell receptor chains and the CD8 chain. Future application of this project includes expression in mammalian non-T cells to test for efficacy of expression and, ultimately, expression in cytotoxic cells to create lymphocytes capable of antigen-specific recognition and cytolytic killing of cells of interest.
ContributorsVale, Nolan Richard (Author) / Anderson, Karen (Thesis director) / Blattman, Joseph (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The human body’s immune system utilizes many different cell types, signaling proteins, and receptors to thwart an infectious pathogen from an individual. Adaptive immunity, particularly with CD4+ T cell lymphocytes & the MHC II receptor, was the focus of this paper by creating a custom destination vector plasmid, pFLIiP, which would contain a gateway cloning site and the nucleotides encoding the first 85 amino acids of the invariant chain protein upstream to provide a means of high-throughput antigen screening via the MHC II receptor and peptide processing pathway. The plasmid pFLIiP was successfully created and sequence verified. Both GFP and mCherry fluorescent proteins were inserted into pFLIiP via LR Clonase and successfully transfected into K562 cancer cells. Fluorescent activity read of a flow cytometer in conjunction with the differing pKa values of the two different fluorescent proteins suggested the fusion protein was in-frame and pFLIiP was successfully targeting the protein to the endosome.
ContributorsGrade, Dylan Beck (Author) / Anderson, Karen (Thesis director) / Hogue, Ian (Committee member) / Knappenberger, Mark (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The Human Leukocyte Antigen (HLA) is a protein on the surface of cells that is a large component of the adaptive immune response as it helps recognize foreign pathogenic material. We wonder if a set of primers designed for each HLA type could be used to amplify a wide spectrum of HLA to improve sequencing of HLA to improve HLA-typing access. We propose the use of an HLA allele panel to determine the pulldown capacity of the primers followed by MinION sequencing and also offer a multiplexing design for running 96 patients at once. Our results show that primers can capture Class I HLA alleles and typing was successful with an average alignment accuracy of 91.7%. In conclusion this method for HLA capture could be utilized for HLA-typing with material costs of under $3.00 per sample within 3 days.
ContributorsVan Stone, Alicia (Author) / Anderson, Karen (Thesis director) / Buetow, Kenneth (Committee member) / Knappenberger, Mark (Committee member) / Barrett, The Honors College (Contributor) / College of Integrative Sciences and Arts (Contributor) / School of Life Sciences (Contributor)
Created2022-05
Description
Human papillomavirus (HPV) infection has a large burden on society. It is a causal agent of 99.7% of all cervical cancer cases. The prevalence of HPV infection worldwide is high, but the burden of HPV infections lies on less developed regions. Cervical cancer is not associated with immediate symptoms, screening methods are needed to detect HPV disease presence before lesions progress to cervical cancer. Protein biomarkers are a growing area of diagnostic medicine and facilitate the detection of disease at an early and treatable stage. Technologies for healthcare diagnostics often require laboratory space or expensive instrumentation, which are not feasible for point of care applications. In order for clinical diagnostics to advance in developing countries, low cost, rapid, portable, and easy to use point of care diagnostic tests are needed. The project adapts the Enzyme Linked Immunosorbent Assays (ELISA) and Nucleic Acid-Programmable Protein Array (NAPPA) to a proof of concept assay for use in magnetic bead based microfluidics. The biomarker used for analyte detection was E7, as a strong correlation has been found between presence of E7 antibodies and development of advanced cervical cancer. It is demonstrated that magnetic microfluidic assay design for rapid detection of antibodies is amenable to fluorescence detection in point of care settings. The data demonstrates that the microfluidic assay is rapid, low-cost, specific, and relevant to serology detection. The assay detects antibody responses to analytes with the point of care reader system and is realized in an on chip capacity. With the integration of anti-GST capture antibodies conjugated to the magnetic beads in the microfluidic system, many analytes can be detected without large changes to the existing assay structure, which gives the ability to adapt the system to analytes of interest rapidly.
ContributorsSnow, Kylie (Author) / Anderson, Karen (Thesis advisor) / Blain Christen, Jennifer (Committee member) / Lake, Douglas (Committee member) / Arizona State University (Publisher)
Created2022
Description
Human Papillomavirus (HPV) is the most commonly transmitted STI and isresponsible for an estimated 5% of cancer cases worldwide. HPV infection is implicated
in 70% of cervical cancer incidence and is also responsible for a variety of oropharyngeal
and anogenital cancers. While vaccination has greatly reduced the cervical cancer
burden in developed countries, HPV infection remains high in developing countries due
to high cost and poor access to healthcare. Several studies have highlighted the
presence of anti-HPV antibodies following infection and their potential use as
biomarkers for developing novel screening methods. Progression from initial infection to
cancer is slow, thus presenting an opportunity for effective screening programs.
Biomarker screening is an important area of cancer detection and Lateral Flow Assays
(LFA) are a low cost, easy to use alternative to other screening methods that require
extensive training and laboratory space. Therefore, this project proposes as a hypothesis
that the development of an LFA screening for HPV specific IgG can provide clinically
relevant data for the early detection of cervical dysplasia. This project adapts an LFA in a
multiplexed format for fluorescence-based serologic detection of HPV specific IgG in
patient plasma.
ContributorsJohns, William (Author) / Anderson, Karen (Thesis advisor) / Lake, Douglas (Committee member) / Hogue, Brenda (Committee member) / Arizona State University (Publisher)
Created2023