Fischell Department of Bioengineering Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/6628

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    LEVERAGING SELF-ASSEMBLY AND BIOPHYSICAL DESIGN TO BUILD NEXT-GENERATION IMMUNOTHERAPIES
    (2022) Froimchuk, Yevgeniy; Jewell, Christopher M; Bioengineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    The immune system has evolved mechanisms to respond not only to specific molecular signals, but also to biophysical cues. Interestingly, research at the interface of biomaterials and immunology has also revealed that the biophysical properties and form of vaccines and immunotherapies impact immunological outcomes. For example, the intermolecular distance between antigen molecules on the surface of nanoparticles can impact formation of T cell receptor clusters that are critical during T cell activation. Despite the importance of biophysical cues in tuning the immune response, the connections between these parameters and immunological outcomes are poorly understood in the context of immunotherapy. Immunotherapies harness an individual’s immune system to battle diseases such as autoimmunity. During autoimmune disease, the immune system malfunctions and mistakenly attacks self-tissue. Immunotherapies can help tailor and guide more effective responses in these settings, as evidenced by recent advances with monoclonal antibodies and adoptive cell therapies. However, despite the transformative gains of immunotherapies for patients, many therapies are not curative, work only for a small subset of patients, and lack specificity in distinguishing between healthy and diseased cells, which can cause severe side effects. To overcome these challenges, experimental strategies are attempting to co-deliver self-antigens and modulatory cues to reprogram dysfunctional responses against self-antigens without hindering normal immune function. These strategies have shown exciting potential in pre-clinical models of autoimmune disease but are unproven in clinical research. Understanding how biophysical features are linked to immunological mechanisms in these settings would add a critical dimension to designing translatable, antigen-specific immunotherapies. Self-assembling materials are a class of biomaterials that spontaneously assemble in aqueous solution. Self-assembling modalities are useful technologies to study the links between biophysical parameters and immune outcomes because they offer precise control and uniformity of the biophysical properties of assembled moieties. Our lab leveraged the benefits of self-assembly to pioneer development of “carrier-free” immunotherapies composed entirely of immune signals. The therapies are composed of self-antigens modified with cationic amino acid residues and anionic, nucleic acid based modulatory cues. These signals are self-assembled into nanostructured complexes via electrostatic interactions. The research in this dissertation utilizes this platform as a tool to understand how tuning the biophysical properties of self-antigens impacts molecular interactions during self-assembly and in turn, how changes in biophysical features are linked to immunological outcomes. Surface plasmon resonance studies revealed that the binding affinity between signals can be tuned by altering overall cationic charge and charge density of self-antigen, and by anchoring the self-antigen with arginine or lysine residues. For example, the binding affinity between signals can be increased by increasing the total cationic charge on the self-antigen, and by anchoring the self-antigen with arginine residues rather than lysine residues. Computational modeling approaches generated insights into how molecular interactions between signals, such as hydrogen bonding, salt-bridges, and hydrophobic interactions, change with different design parameters. In vitro assays revealed that a lower binding affinity between self-assembled signals was associated with greater reduction of inflammatory gene expression in dendritic cells and more differentiation of self-reactive T cells towards regulatory phenotypes that are protective during autoimmunity. Taken all together, these insights help intuit how to use biophysical design to improve modularity of the self-assembly platform to incorporate a range of antigens for distinct disease targets. This granular understanding of nanomaterial-immune interactions contributes to more rational immunotherapy design.
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    Development of Nanoparticle-Based Intracellular Dual Sensing and Actuation Modalities
    (2017) Field, Lauren D.; White, Ian M; Medintz, Igor L; Bioengineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    The integration of therapeutics with diagnostic agents, or theranostics, is vital for the development of novel and effective disease treatments. To effectively design new and efficient theranostic materials, a thorough understanding of the carrier ensemble, the interactions within the construct components, and the surrounding environment is required. This dissertation focuses on the development of new strategies to produce an effective ‘toolbox’ of nanoscale theranostics, namely through the use of a central NP scaffold and the visualization technique of Förster Resonance Energy Transfer (FRET). The NP scaffold used throughout this work, the semiconductor quantum dot (QD), is ideal for visualizing sensing modalities due to their high quantum yield (QY), tunable, narrow and symmetric emission profiles with broad, far-UV excitation, and resistance to photobleaching - making them optimal FRET donors. We first examined the intracellular assembly of QDs to proteins by injecting 545 nm emitting QDs, coated with various capping ligands, into cells transfected to express mCherry at two distinct intracellular locations: the cytosol and the plasma membrane. We found that the small, zwitterionic capping ligand CL4 and the cytosolically located mCherry protein assembled into the most efficient FRET complexes. We used this knowledge to design and implement a novel intracellular actuation modality for drug delivery that used a 520 nm emitting QD with the carrier maltose binding protein appended to the surface and carrying drug or dye conjugated to a maltose analog, -cyclodextrin in the binding pocket. Rather than relying on intracellular environmental changes or external stimuli to actuate release, the addition of the innocuous sugar maltose to the medium induced cargo actuation and could be visualized via FRET. Finally, the same methods were implemented to develop a novel pH sensor to report on the extracellular changes that occur in tumor development where the physiological pH is lowered dramatically. Using a 464 nm QD scaffold conjugated to pH-responsive FITC, we successfully monitored changes in extracellular pH and accurately determined unknown pH values. With the work in this thesis, we believe we have contributed greatly to the advancement and development NPs for the design and implementation of sensing and actuation complexes.
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    Bio-templated Substrates for Biosensor Applications
    (2013) Fu, Angela Li-Hui; Kofinas, Peter; Bioengineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Nanopatterning of materials is of particular interest for applications in biosensors, microfluidics, and drug delivery devices. In biosensor applications there is a need for rapid, low cost, and durable system for detection. This dissertation aims to investigate methods to pattern nanostructured surfaces using virus particles as templates. The virus species used in these experiments is a cysteine modified tobacco mosaic virus. The first project utilized the lamellar microphase separation of a block copolymer to pattern the virus particles. Although microphase separation of the poly(styrene-b-2-vinylpyridine) (PS-P2VP) into lamellae was confirmed, specificity of the viruses to the gold doped block of the polymer could not be achieved. Single virus particles lay across multiple lamellae and aggregated in side-to-side and head-to-tail arrangements. The second project studied the effect of a surfactant on virus assembly onto a gold chip. The experiments included placing a gold chip in virus solutions with varying triton concentrations (0-0.15%), then plating the virus particles with a metal. Results showed that as the triton concentration in the virus solution increases, the virus density on the surface decreases. The gold coated virus particles were applied to Surface Enhanced Raman Spectroscopy (SERS) detection in the final project. SERS is of interest for biosensor applications due to its rapid detection, low cost, portability, and label-free characteristics. In recent years, it has shown signal enhancement using gold, silver, and copper nanoparticles in solutions and on roughened surfaces. The gold plated virus surfaces were tested as SERS substrates using R6G dye as the analyte. An enhancement factor (EF) of 10^4 was seen in these samples versus the non-SERS substrate. This corresponded to the sample with 0.05% triton in the virus solution which showed the most intersection points between the virus particles and the most uniform coverage of the viruses on the surface. This value is lower than that of previous studies; however, future work may be performed to optimize conditions to achieve the highest signal possible.