In the human genome, 43 BTB (Bric-à-brac, Tramtrack, and Broad Complex) containing BTB-Zinc Finger proteins have been identified, many of which are transcription factors involved in cancer and development. These BTB domains have been shown to form homodimers and heterodimers which raise DNA binding affinity and specificity for transcription factors. This project was to develop an efficient assay to systematically identify interactions between BTB domains. It combined a co-expression system, fluorescent protein tagging and Ni-NTA plate retention. It was concluded that fourteen analyzed BTB domains formed homodimers, but only certain BTB pairs formed heterodimers, such as BCL6 with Miz1 and Miz1 with RP58. To further understand the specificity of BTB domain interactions, more structural and sequence information is still needed. In conclusion, this assay provided a comprehensive detection method for BTB domain interaction mapping. The information generated provides candidates for further functional and structural studies.

In the human genome, 43 BTB (Bric-à-brac, Tramtrack, and Broad Complex) containing BTB-Zinc Finger proteins have been identified, many of which are transcription factors involved in cancer and development. These BTB domains have been shown to form homodimers and heterodimers which raise DNA binding affinity and specificity for transcription factors. This project was to develop an efficient assay to systematically identify interactions between BTB domains. It combined a co-expression system, fluorescent protein tagging and Ni-NTA plate retention. It was concluded that fourteen analyzed BTB domains formed homodimers, but only certain BTB pairs formed heterodimers, such as BCL6 with Miz1 and Miz1 with RP58. To further understand the specificity of BTB domain interactions, more structural and sequence information is still needed. In conclusion, this assay provided a comprehensive detection method for BTB domain interaction mapping. The information generated provides candidates for further functional and structural studies.

The work described here details the experimental progress toward an improved means of HIV-1 diagnosis and an explanation of the experimental approaches taken to advance a previously developed HIV-1 reverse transcriptase detection assay using RNA aptamers for protein capture. After characterization of the identity and function of the aptamer samples to be used, we first set about clarifying the nature of the assay and pinning down sources of variability inherent in the original Aptamer Antibody Sandwich Assay (AASA) such that through the course of this work we might bring the assay to a point of high reproducibility. In doing so, we devised a set of criteria for data analysis and filtration and established a process to examine whether modifications to the method resulted in measurable improvement. Two new methods were tested in the hope that they might later be extended to our ultimate project goal of distinguishing binding affinity variations among HIV-1 reverse transcriptase protein and its mutant variants. Both method modifications involved the addition of a fluorescently labeled Cy5 probe to the immobilized aptamer construct. The addition of a fluorescent label to each printed aptamer allowed for detection of aptamer presence in addition to protein binding, essentially serving as a simple internal control for aptamer-protein binding. After optimizing the AASA aptamer construct and experimental procedure, the AASA was extended to a multiplexed array format. Using four groups of aptamers selected against two HIV-1 RT variants (wild-type and mutant 3) we tested the hypothesis that immobilized anti-HIV-1 aptamers might be capable of binding HIV-1 RT variants and regardless of their selective target. The experiments described here are the first example of these aptamers being used in a multiplexed array format, and the results are not only a clear exemplification of the capacity of RNA aptamers for detection in this novel, immobilized assay format, but also an indicator of the utility and flexibility of RNA aptamer functionality. The promising results described in these preliminary studies are the starting block from which several interesting aptamer-protein interaction and drug-competition studies have begun. / text

<p>  </p> <p>Thrombosis is the pathological formation of a blood clot in the body that blocks blood circulation, leading to high morbidity and mortality rates. Thrombolytic drugs that offer rapid clot dissolution are promising treatments yet current drugs are often associated with limited efficacy and high bleeding risks. While numerous animal thrombosis models have been developed for drug screening, the translation of therapeutic agents into and through clinical trials remains limited. This is largely due to animal models’ poor reproducibility and distinctive physiology to that of humans. <em>In-vitro</em> flow models that utilize both human blood components and physiologically relevant flow conditions can provide for a more representative testing environment to screen thrombolytic drugs. Developing better <em>in-vitro</em> models may not eliminate the need for preclinical animal testing but can help exclude inefficient agents earlier in the drug development pipeline to expedite the drug evaluation process. Existing <em>in-vitro</em> thrombolysis flow models are not ideal as they either adopt over-simplified clot substrates or utilize small-length-scale geometries that insufficiently mimic native hemodynamics. Thus, we propose to first develop a static fluorescently labeled clot lysis assay for an initial high throughput screening of thrombolytic drugs, and ultimately engineer a highly reproducible, physiological scale, flowing clot lysis model for more human relevant drug efficacy evaluation. Developing the static clot lysis assay not only helps to understand the mechanism of how diversified clotting conditions affect clot properties but also offer a chance to well-characterize fluorescence conjugations to fibrins. The ultimate flow model combines an <em>in-vivo</em>-like fluorescence incorporated synthetic clot (FISC) and a human-relevant flow system. Guided by results from static clotting experiments diversified FISCs are fluorescently optimized and fabricated dynamically using a Chandler loop setup at various conditions. The flow system is a tubing-based structure that comprises of a peristaltic pump, and a well-controlled flow chamber to provide for physiological shear and pulsatile levels. Therefore, the proposed synthetic clot model is a versatile platform that can mimic a variety of thrombosis conditions and offer representative drug testing and dosing results across numerous thrombolytic agents.</p>

<p>  </p> <p>Designing and developing a diagnostic technology that is capable of highly sensitive and specific, multiplexed, high-throughput, and quantitative biomarker assays for disease diagnosis and progression is of the upmost importance in modern medicine and patient care. Current diagnostic assays capable of multiplexed and high-throughput analysis include mass spectrometry, electrochemistry, polymerase chain reaction (PCR), and fluorescence-based techniques, however, these techniques suffer from a lack in sensitivity, false responses, or extensive sample processing that are detrimental to clinical diagnostics. To overcome these sensitivity challenges, the field of nanoplasmonics has become utilized when developing diagnostic assays. Plasmonic-based diagnostic tests utilize the unique optical, chemical, and physical property of nanoparticles to increase the sensitivity of the assay. In this dissertation, novel diagnostic platforms that utilize nanoparticles and their localized surface plasmon resonance (LSPR) property will be introduced. LSPR is an optical property in noble metallic nanoparticles that is referred to as the collective oscillation of free electrons upon light irradiation. It is highly dependent on the shape, size, and dielectric constant (refractive index) of the surrounding medium of the nanoparticle and LSPR sensing is based on a change in these properties. In this dissertation, the LSPR property is utilized to fabricate nanoplasmonic-based diagnostic platforms that are capable of multiplexed and high-throughput biomarker assays, with high sensitivity and specificity. The work presented in this dissertation is presented as six chapters, (1) Introduction. (2) Methods, (3) Fabrication of a LSPR-based multiplexed and high-throughput biosensor platform and its application in performing microRNA assays for the diagnosis of bladder cancer. In this chapter, the advancement of single-plex solid state LSPR-based biosensors into a multiplexed and high-throughput diagnostic biosensor platform is reported for the first time. The diagnostic biosensor platform is first fabricated utilizing different gold nanoparticles (spherical nanoparticles, nanorods, and triangular nanoprisms), and then with the gold triangular nanoprisms as the nanoparticle of choice, microRNA assays were performed. The developed biosensor platform is capable of assaying five different types of microRNAs simultaneously at an attomolar limit of detection. Additionally, five microRNA were assayed in 20-bladder cancer patient plasma samples. (4) Development/optimization of the biosensor platform presented in Chapter 3 for the detection of COVID-19 biomarkers. In this chapter, the biosensor platform utilized in Chapter 3 was designed to assay 10 different COVID-19 specific biomarkers from three classes (six viral nucleic acid gene sequences, two spike protein subunits, and two antibodies) with limit of detections in the attomolar range and with high specificity. The high-throughput capability of the biosensor platform was advanced, with the platform performing analysis of a single biomarker in 92 patient samples simultaneously. Additionally, the biomarker platform was utilized to assay all 10 biomarkers in a total of 80 COVID-19 patient samples.  (5) Further optimization of the biosensor platform for the development of a highly specific antibody detection test for COVID-19. During the COVID-19 pandemic, knowledge was gained on the specificity of antibodies produced against COVID-19. In this chapter, that knowledge was applied towards the optimization of the biosensor platform presented in Chapter 4 in order to assay SARS-CoV-2 neutralizing antibody IgG. The optimization of the biosensor platform included the size of the gold triangular nanoprisms and the receptor molecule of choice. The biosensor platform assayed this highly specific COVID-19 IgG antibody with a limit of detection as low as 30.0 attomolar with high specificity and no cross reactivity. Additionally, as a proof of concept, the biosensor platform was utilized in a high-throughput format to assay SARS-CoV-2 IgG in a large cohort of 121 COVID-19 patient samples simultaneously. (6) Advancement of the biosensor platform from a 96-well plate to a 384-well plate and its application in assaying microRNA for early diagnosis of pancreatic cancer. In this chapter, the high-throughput capabilities of the biosensor platform presented in Chapters 3-5 was expanded by increasing the sensor amount in one platform from 92 to 359. The 384-well plate biosensor platform was designed, optimized, and utilized to perform microRNA assays for early-stage pancreatic cancer diagnosis. The optimization of the biosensor platform included the manipulation of LSPR-based parameters and the -ssDNA receptor molecule in order to obtain low limit of detections (high sensitivity). Additionally, the biosensor platform assayed two microRNA in a large cohort (n=110) of pancreatic cancer and chronic pancreatitis patient samples. </p>

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