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- Creators: Harrington Bioengineering Program
- Creators: Chemical Engineering Program
Description
The main objective of this research is to develop and characterize a targeted contrast agent that will recognize acute neural injury pathology (i.e. fibrin) after traumatic brain injury (TBI). Single chain fragment variable antibodies (scFv) that bind specifically to fibrin have been produced and purified. DSPE-PEG micelles have been produced and the scFv has been conjugated to the surface of the micelles; this nanoparticle system will be used to overcome limitations in diagnosing TBI. The binding and imaging properties will be analyzed in the future to determine functionality of the nanoparticle system in vivo.
ContributorsRumbo, Kailey Michelle (Author) / Stabenfeldt, Sarah (Thesis director) / Kodibagkar, Vikram (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
The growth of the medical diagnostic industry in the past several decades has largely been due to the creation and iterative optimization of bio sensors. Recent pushes towards value added as well as preventative health care has made point of care devices more attractive to health care providers. Rapid detection for diseases and cancers is done with a bio sensor, which a broad term used to describe an instrument which uses a bio chemical reaction to detect a chemical compound with the use of a bio recognition event in addition to a signal detection event. The bio sensors which are presented in this work are known as ion-sensitive field effects transistors (ISFETs) and are similar in function to a metal oxide field effect transistor (MOSFET). These ISFETs can be used to sense pH or the concentration of protons on the surface of the gate channel. These ISFETs can be used for certain bio recognition events and this work presents the application of these transistors for the quantification of tumor cell proliferation. This includes the development of a signal processing and acquisition system for the long term assessment of cellular metabolism and optimizing the system for use in an incubator. This thesis presents work done towards the optimization and implementation of complementary metal\u2014oxide\u2014semiconductor (CMOS) ISFETs as well as remote gate ISFETs for the continuous assessment of tumor cell extracellular pH. The work addresses the challenges faced with the fabrication and optimization of these sensors, which includes the mitigation of current drift with the use of pulse width modulation in addition to issues encountered with fabrication of electrodes on a quartz substrate. This work culminates in the testing of an autonomous system with mammary tumor cells as well as the assessment of cell viability in an incubator over extended periods. Future applications of this work include the creation of a remote gate ISFET array for multiplexed detection as well as the implementation of ISFETs for bio marker detection via an immunoassay.
ContributorsArafa, Hany Mohamed (Author) / Blain Christen, Jennifer (Thesis director) / LaBelle, Jeffrey (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The following paper discusses the potential for Designed Ankyrin Repeat Proteins (DARPin) use as a diagnostic tool for neurodegenerative diseases in particular Alzheimer's disease (AD) and Parkinson's disease (PD). The two structures investigated for AD and PD were ADC7 and PDC1. Plasmid transformation was performed in order to grow the DARPin in E. coli for simple expression. Following growth and purification the proteins were validated using SDS-PAGE, Western Blot, BCA and indirect sandwich ELISA using transgenic mouse brain tissue. Targeted functionality of the DARPin structure was utilized during characterization methods to ensure the efficacy of the protein as a diagnostic for the respective disease targets. Both the ADC7 and PDC1 demonstrated improved binding with transgenic mice compared to wild type with a maximum 1.8 and 1.7 relative ratio, respectively. Additionally, both of the proteins demonstrated exclusive binding to their disease target and did not provide false positive results.
ContributorsTindell, John (Co-author) / Card, Emma (Co-author) / Sierks, Michael (Thesis director) / Nannenga, Brent (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
MPV17-related hepatocerebral mitochondrial DNA depletion syndrome, previously known as Navajo Neurohepatopathy (NNH), is a rare genetic disease affecting Navajo children of the American Southwest. These children can suffer from several severe symptoms like brain damage and liver disease, and a diagnosis leads to death by age 10, on average. The only known effective therapy for NNH is a liver transplant. Currently, the disease is diagnosed through a lengthy and expensive process of gene sequencing, but oftentimes patients with the most severe forms of NNH deteriorate quickly; thus a rapid diagnostic would be beneficial to beginning the transplant process as early as possible. Here, Tentacle Probes, a novel technology to detect genetic mutations, were proposed to rapidly and accurately diagnose NNH. Because of Tentacle Probes' double binding site kinetics, they can detect mutations more accurately than other types of genetic probes. Probes specific to the NNH mutation were designed for use with a real-time polymerase chain reaction (PCR) detection platform. Initial synthetic DNA testing of Tentacle Trobes showed capable differentiation between mutated and non-mutated samples. However, experiments to validate those results at Phoenix Children's Hospital before moving to patient samples showed that test viability decreased over time. Efforts to diagnose the issues that led to decreased viability suggested four possible explanations that are as follows (in order of decreasing likelihood): first, undesired products from improper PCR primer design was supported by double bands in DNA gel electrophoresis; second, DNA may have degraded over time or due to repeated cycles of freezing and thawing stock solutions, and this was supported by smeared DNA gel electrophoresis; third, probe degradation, specifically of the fluorescent reporter, is possible; finally, contaminants that inhibit the PCR reaction may have been introduced. A combination of these factors may also have caused the change in assay viability. As a result of these most likely possibilities, new primers were designed and steps suggested to return viability to the assay. Thus, the various limitations and requirements for this Tentacle Probe diagnostic have been identified, and as assay development continues following the promising initial results achieved, we are confident that a rapid method if diagnosing NNH is on its way to help the children afflicted with this devastating disease receive timely access to treatment.
ContributorsThompson, Emily Rose (Author) / Caplan, Michael (Thesis director) / Carpentieri, David (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis project is the result of close collaboration with the Arizona State University Biodesign Clinical Testing Laboratory (ABCTL) to document the characteristics of saliva as a test sample, preanalytical considerations, and how the ABCTL utilized saliva testing to develop swift COVID-19 diagnostic tests for the Arizona community. As of April 2021, there have been over 130 million recorded cases of COVID-19 globally, with the United States taking the lead with approximately 31.5 million cases. Developing highly accurate and timely diagnostics has been an important need of our country that the ABCTL has had tremendous success in delivering. Near the start of the pandemic, the ABCTL utilized saliva as a testing sample rather than nasopharyngeal (NP) swabs that were limited in supply, required highly trained medical personnel, and were generally uncomfortable for participants. Results from literature across the globe showed how saliva performed just as well as the NP swabs (the golden standard) while being an easier test to collect and analyze. Going forward, the ABCTL will continue to develop high quality diagnostic tools and adapt to the ever-evolving needs our communities face regarding the COVID-19 pandemic.
ContributorsSmetanick, Jennifer (Author) / Compton, Carolyn (Thesis director) / Magee, Mitch (Committee member) / School of Life Sciences (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Mycobacterium tuberculosis is the primary bacteria responsible for tuberculosis, one of the most dangerous diseases, and top causes of death worldwide, as identified by the World Health Organization in a 2018 report. Diagnostic tools currently exist for identifying those who carry active or latent versions of the infection including chest radiographs, a Mantoux tuberculin skin test, or an acid-fast bacilli smear of sputum samples. These methods are standard in the medical community of high income countries, but pose challenges for lower-income regions of the world as well as vulnerable populations. The need for a rapid, inexpensive, and non-invasive method of tuberculosis detection is evident by the ten million that contracted and 1.6 million that died from TB in 2017 alone. In our study, we used a previously developed nanoplasmon-enhanced scattering technology combined with dark field microscopy in order to investigate the potential for a blood-based TB detection assay. Twenty-eight capture antibodies were screened using cell culture exosomes and human serum samples to identify candidates for a TB-derived exosome biomarker. Four antibodies demonstrated potential for distinguishing negative controls from positive controls in this study: anti-AG85, anti-AG85B, anti-SodA, anti-Ald. These capture antibodies displayed significant differences (p<0.05) for both cell culture exosomes and human serum samples on more than one occasion. The work is significant in its ability to distinguish potential capture antibody targets, and future experimentation may yield a technology ready for clinical settings to address the gap in current TB detection methods.
ContributorsWalls, Robert (Author) / Hu, Tony (Thesis director) / Fan, Jia (Committee member) / School of Molecular Sciences (Contributor) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Pseudomonas aeruginosa is an opportunistic bacterial pathogen commonly associated with increased morbidity and mortality in cystic fibrosis (CF) patients. To adapt to the CF lung environment, P. aeruginosa undergoes multiple genetic changes as it moves from an acute to a chronic infection. The resultant phenotypes have been associated with chronic infection and can provide important information to track the patient’s individualized disease progression. This study examines the link between the accumulation of QS genetic mutations and phenotypic expression in P. aeruginosa laboratory strains and clinical isolates. We utilized several plate-based and colorimetric assays to quantify the production of pyocyanin, rhamnolipids, and protease from paired clinical early- and late-stage chronic infection isolates across 16 patients. Exoproduct production of each isolate was compared to the mean production of pooled isolates to classify high producing (QS-sufficient) and low producing (QS-deficient) isolates. We found that over time P. aeruginosa isolates exhibit a reduction in QS-related phenotypes during chronic infections. Future research of the QS regulatory networks will identify whether reversion of genotype will result in corresponding phenotypic changes in QS-deficient chronic infection isolates.
ContributorsKaranjia, Ava Vispi (Author) / Bean, Heather (Thesis director) / Haydel, Shelley (Committee member) / Davis, Trenton (Committee member) / School of Life Sciences (Contributor) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Recent studies in traumatic brain injury (TBI) have found a temporal window where therapeutics on the nanometer scale can cross the blood-brain barrier and enter the parenchyma. Developing protein-based therapeutics is attractive for a number of reasons, yet, the production pipeline for high yield and consistent bioactive recombinant proteins remains a major obstacle. Previous studies for recombinant protein production has utilized gram-negative hosts such as Escherichia coli (E. coli) due to its well-established genetics and fast growth for recombinant protein production. However, using gram-negative hosts require lysis that calls for additional optimization and also introduces endotoxins and proteases that contribute to protein degradation. This project directly addressed this issue and evaluated the potential to use a gram-positive host such as Brevibacillus choshinensis (Brevi) which does not require lysis as the proteins are expressed directly into the supernatant. This host was utilized to produce variants of Stock 11 (S11) protein as a proof-of-concept towards this methodology. Variants of S11 were synthesized using different restriction enzymes which will alter the location of protein tags that may affect production or purification. Factors such as incubation time, incubation temperature, and media were optimized for each variant of S11 using a robust design of experiments. All variants of S11 were grown using optimized parameters prior to purification via affinity chromatography. Results showed the efficiency of using Brevi as a potential host for domain antibody production in the Stabenfeldt lab. Future aims will focus on troubleshooting the purification process to optimize the protein production pipeline.
ContributorsEmbrador, Glenna Bea Rebano (Author) / Stabenfeldt, Sarah (Thesis director) / Plaisier, Christopher (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Markov Chain Monte-Carlo methods are a Bayesian approach to predictive statistics, which takes advantage of prior beliefs and conditions as well as the existing data to produce posterior distributions of relevant parameters. This approach, implementable through the JAGS packaging in R, is promising for its impact on the diagnostics space, which is a critical bottleneck for pandemic planning and rapid response. Specifically, these methods provide the means to optimize diagnostic testing, for example, by determining whether it is best to test individuals in a certain locale once or multiple times. This study compares the expected accuracy of single and double testing under two specific conditions, a general and Icelandic test case, in order to ascertain the validity of MCMC methods in this space and inform decisionmakers and future research in the space. Models based on this platform may eventually be tailored to the priors of specific locales. Additionally, the ability to test multiple regimes of real or simulated data while maintaining uncertainty widens the pool of researchers that can impact the space. In future studies, ensemble methods investigating the full range of parameters and their combinations can be studied.
ContributorsSuresh, Tarun (Author) / Naufel, Mark (Thesis director) / Panchanathan, Sethuraman (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05