Alzheimer’s Disease (AD) is the most common form of dementia affecting the population over the age of 65. AD is characterized clinically by increasing difficulty with memory and language, resulting in a loss of independence. This is due to the presence of two characteristic protein aggregates in the brain: extracellular amyloid plaques and intracellular neurofibrillary tangles (NFTs). Utilizing multiplexed immunofluorescence and dimensional reduction analysis the types of cells present in the hippocampus, the region of the brain most affected by AD, can be explored. Understanding the kinds of cell subtypes present, the mechanism behind how AD develops can be explored. Multiplexed IF was performed on human hippocampus FFPE tissues to detect a total of 37 proteins. Dimensional reduction analysis was performed to identify the four major cell types in the brain: neurons, oligodendrocytes, astrocytes, and microglia. After identifying each cell type, further dimensional reduction analysis was performed within each cell type to identify cell subtypes. A total of 21 neuron, 41 oligodendrocyte, 20 astrocyte, and 22 microglia subtypes were identified. The location of cell subtypes in each region of the hippocampal formation was found to match previous reports, further validating the findings of this project.

Based on past studies, urinary glycan biomarkers have the potential to be used as diagnostic and prognostic markers for treatment purposes. This study brought into play the bottom-up glycan node analysis approach to analyze 39 urine samples from COVID-19 positive and negative individuals using gas chromatography-mass spectrometry (GC-MS) to determine potential urinary glycan biomarkers of COVID-19. Glycan node analysis involves chemically breaking down glycans in whole biospecimens in a way that conserves both monosaccharide identity and linkage information that facilitates the capture of unique glycan features as single analytical signals. Following data acquisition, the student t-test was done on all the nodes, but only four prominent nodes (t-Deoxyhexopyranose, 2,3-Gal, t-GlcNAc, and 3,6-GalNAc with respective p-values 0.03027, 0.03973, 0.0224, and 0.0004) were below the threshold p-value of 0.05 and showed some differences in the mean between both groups. To eliminate the probability of having false positive p-values, Bonferroni correction was done on the four nodes but only the 3,6-GalNAc node emerged as the only node that was below the newly adjusted p-value. Because sample analyses were done in batches, the Kruskal Wallis test was done to know if the batch effect was responsible for the observed lower relative concentration of 3,6-GalNAc in COVID-19 positive patients than in negative patients. A receiver operating characteristic curve (ROC) was plotted for the 3,6-GalNAc node and the area under the curve (AUC) was calculated to be 0.84, casting the 3,6-GalNAc node was a potential biomarker of COVID-19. 3,6-GalNAc largely arises from branched O-glycan core structures, which are abundant in mucin glycoproteins that line the urogenital tract. Lowered relative concentrations of 3,6-GalNAc in the urine of COVID-19 positive patients may be explained by compromised kidney function that allows non-mucinous glycoproteins from the blood to contribute a greater proportion of the relative glycan node signals than in COVID-19 negative patients. Future prospective clinical studies will be needed to validate both the biomarker findings and this hypothesis.

The response of living cells to electric field (EF) has been observed for more than a hundred years, but the mechanism of how cells interact with EF is not entirely ascertained. Although many efforts have been devoted to the application of EF stimulation in tissue engineering and regeneration, the fundamental scientific principle of such practice remains unveiled and keeps drawing attention during the pursuit of consistent outcomes. In this regard, my research focuses on the underlying mechanism by which EF stimulation evokes cellular responses and the EF modulation of cell signaling pathways to physiological behaviors. The first part of my research focuses on developing the platform for controlled EF stimulation and real-time imaging/analysis. High-k dielectric passivated microelectrodes are fabricated to send capacitively coupled alternating current electric field (AC EF) stimulation to cells. I have developed two generations of EF stimulation devices with environmental control chambers: the first one is used to study cell signaling pathway dynamics; the second one is upgraded with long-term culture capability to study cell physiological behaviors. The second part of my research focuses on the quantification and mechanistic study of AC EF perturbation of the extracellular signal-related kinase (ERK) signaling pathway. I demonstrate that AC EF stimulation can induce both inhibition and activation of the ERK pathway, with different AC EF amplitude thresholds and time and magnitude scales. The mechanistic study shows that the ERK activation is initiated by AC EF-induced epidermal growth factor receptor (EGFR) phosphorylation, and the ERK inhibition is related to AC EF-induced change of Ras activities. In addition, these ERK responses show high sensitivity to AC EF waveform and timing, indicating electrostatic coupling mechanism and providing new parameter spaces for further investigation on the modulation of the ERK signaling pathway via AC EF stimulation. The last part of my research steers to cell physiological behaviors under prolonged AC EF stimulation. I report that AC EF stimulation can clearly inhibit cell proliferation and migration, and the inhibition in cell proliferation is sensitive to AC EF amplitude, stimulation pattern, and pulse rising time. These findings can benefit the AC EF application in medical treatment.

Molecular tessellation research aims to elucidate the underlying principles that govern intricate patterns in nature and to leverage these principles to create precise and ordered structures across multiple scales, thereby facilitating the emergence of novel functionalities. DNA origami technology enables the fabrication of nearly arbitrary DNA architectures with nanoscale precision, which can serve as excellent building blocks for the construction of tessellation patterns. However, the size and complexity of DNA origami tessellation systems are currently limited by several unexplored factors relevant to the accuracy of essential design parameters, the applicability of design strategies, and the compatibility between different tiles. Here, a general design and assembly method are described for creating DNA origami tiles that grow into tessellation patterns with micrometer-scale order and nanometer-scale precision. A critical design parameter, interhelical distance (D), was identified, which determined the conformation of monomer tiles and the outcome of tessellation. Finely tuned D facilitated the accurate geometric design of monomer tiles with minimized curvature and improved tessellation capability. To demonstrate the generality of the design method, 9 tile geometries and 15 unique tile designs were generated. The designed tiles were assembled into single-crystalline lattices ranging from tens to hundreds of square micrometers with micrometer-scale, nearly defect-free areas readily visualized by atomic force microscopy. Two strategies were applied to further increase the complexity of DNA origami tessellation, including reducing the symmetry of monomer tiles and co-assembling tiles of various geometries. The designed 6 complex tilings that includes 5 Archimedean tilings and a 12-fold quasicrystal tiling yielded various tiling patterns that great in size and quality, indicating the robustness of the optimized tessellation system. The described design and assembly approach can also be employed to create square DNA origami units for algorithmic self-assembly. As the square units assembled and expanded, they executed the binary function XOR, which generated the Sierpinski triangular pattern according to the predetermined instructions. This study will promote DNA-templated, programmable molecular and material patterning and open up new opportunities for applications in metamaterial engineering, nanoelectronics, and nanolithography.

Without a doubt, protein is the most crucial biomolecule performing life and biological functions of any living cell. Profiling various protein expression in individual cells has raised a great interest for scientist and researchers over decades in attempts to reveal cell-to-cell variation, which used to be masked in many previous population average measurement methods. Immunofluorescence (IF) has been a well-established single cell protein analysis technique as for its fast and high-resolution detection and localization, simple and adaptable workflows, and affordable instrumentation. However, inadequate detection sensitivity and multiplexing capability are the two limitation of this platform that remain incompletely addressed in many decades. In this work, several improvements have been proposed and demonstrated to improve existing drawbacks of conventional immunofluorescence. An azide-based linker featured in the novel fluorescent probes synthesis has enable iterative protein staining on the same tissue sample, which subsequently increase the multiplex capacity of IF. Additionally, the multiple fluorophore introduction to the proteins target via either layer by layer biotin-cleavable fluorescent streptavidin or tyramide signal amplification (TSA) have significantly increase the detection sensitivity of the platform. With these advances, IF has the potential to detect, image and quantify up to 100 protein targets in single cell in the tissue sample. In addition of desirable features of IF, these improvements have further turned the technique into a powerful proteomic study platform for not only research setting but also clinical study setting. It is anticipated this highly sensitive and multiplexed, renovated IF method will soon be translated into biomedical studies.

As a rapidly evolving field, nucleic acid nanotechnology focuses on creating functional nanostructures or dynamic devices through harnessing the programmbility of nucleic acids including deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), enabled by the predictable Watson-Crick base pairing. The precise control over the sequence and structure, along with the development of simulation softwares for the prediction of the experimental implementation provides the base of designing structures or devices with arbitrary topology and operational logic at nanoscale. Over the past 40 years, the thriving field has pushed the boundaries of nucleic acids, from originally biological macromolecules to functional building blocks with applications in biomedicine, molecular diagnostics and imaging, material science, electronics, crystallography, and more have emerged through programming the sequences and generating the various structures or devices. The underlying logic of nucleic acid programming is the base pairing rule, straightforward and robust. While for the complicated design of sequences and quantitative understanding of the programmed results, computational tools will markedly reduced the level of difficulty and even meet the challenge not available with manual effort. With this thesis three individual projects are presented, with all of them interweaving theory/computation and experiments. In a higher level abstraction, this dissertation covers the topic of biophysical understanding of the dynamic reactions, designing and realizing complex self-assembly systems and finally super-resolutional imaging. More specifically, Chapter 2 describes the study of RNA strand displacement kinetics with dedicated model extracting the reaction rates, providing guidelines for the rational design and regulation of the strand displacement reactions and eventually biochemical processes. In chapter 3 the platform for the design of complex symmetry of the self-assembly target and first experimental implementation of the assembly of pyrochlore lattices with DNA origamis are presented, which potentially can be applied to manipulate lights as optical materials. Chapter 4 focuses on the in solution characterization of the periodicity of DNA origami lattices with super-resolutional microscopy, with algorithms in development for three dimensional structural reconstruction.

Plasma and serum are the most commonly used liquid biospecimens in biomarker research. These samples may be subjected to several pre-analytical variables (PAVs) during collection, processing and storage. Exposure to thawed conditions (temperatures above -30 °C) is a PAV that is hard to control, and track and could provide misleading information, that fail to accurately reveal the in vivo biological reality, when unaccounted for. Hence, assays that can empirically check the integrity of plasma and serum samples are crucial. As a solution to this issue, an assay titled ΔS-Cys-Albumin was developed and validated. The reference range of ΔS-Cys-Albumin in cardio vascular patients was determined and the change in ΔS-Cys-Albumin values in different samples over time course incubations at room temperature, 4 °C and -20 °C were evaluated. In blind challenges, this assay proved to be successful in identifying improperly stored samples individually and as groups. Then, the correlation between the instability of several clinically important proteins in plasma from healthy and cancer patients at room temperature, 4 °C and -20 °C was assessed. Results showed a linear inverse relationship between the percentage of proteins destabilized and ΔS-Cys-Albumin regardless of the specific time or temperature of exposure, proving ΔS-Cys-Albumin as an effective surrogate marker to track the stability of clinically relevant analytes in plasma. The stability of oxidized LDL in serum at different temperatures was assessed in serum samples and it stayed stable at all temperatures evaluated. The ΔS-Cys-Albumin requires the use of an LC-ESI-MS instrument which limits its availability to most clinical research laboratories. To overcome this hurdle, an absorbance-based assay that can be measured using a plate reader was developed as an alternative to the ΔS-Cys-Albumin assay. Assay development and analytical validation procedures are reported herein. After that, the range of absorbance in plasma and serum from control and cancer patients were determined and the change in absorbance over a time course incubation at room temperature, 4 °C and -20 °C was assessed. The results showed that the absorbance assay would act as a good alternative to the ΔS-Cys-Albumin assay.

The work in this dissertation progressed the research of structural discovery for two targets critical in the fight of infectious disease. Francisella lipoprotein 3 (Flpp3) is a virulent determinant of tularemia and was the first protein of study. The proteins soluble domain was studied using a hybrid modeling theory that used small angle X-ray scattering (SAXS) in combination with computation analysis to generate a SAXS-refined structure. The SAXS-refined structure closely resembled the NMR structure (PDB: 2MU4) which contains a hydrophobic cavity inside the protein that could be used for drug discovery purposes. The full-length domain of Flpp3 purified from the outer membrane of E. coli was also studied with a combination of biophysical characterization methods. Mass spectrometry and western blot analysis confirmed Flpp3 being translocated to the outer membrane, while SDS-PAGE confirmed the purity of Flpp3 in the monomeric form after size exclusion chromatography. Using Circular Dichroism (CD) the monomeric form of Flpp3 was shown to be almost fully refolded into having a primarily β-stranded secondary structure. This information advances the progress of both tularemia research and outer membrane protein research as no natively folded outer membrane protein structures have been solved for F. tularensis.The second protein worked on in this dissertation is the nonstructural protein 15 from SARS-CoV-2, also called NendoU. Nsp15 is an endoribonuclease associated with aiding the virus responsible for the current COVID-19 pandemic in evasion of the immune system. An inactive mutant of Nsp15 was studied with both negative stain electron microscopy and cryogenic electron microscopy (Cryo-EM) in the presence of RNA or without RNA present. The initial findings of negative stain electron microscopy of Nsp15 with and without RNA showed a difference in appearance. Negative stain analysis of Nsp15 is in the presence of a 5nt RNA sequence in low salt conditions shows a conformational change when compared to Nsp15 without RNA present. As well the presence of RNA appeared to shift the electron density in Cryo-EM studies of Nsp15. This work advances the research in how Nsp15 may bind and cleave RNA and aid in the evasion of the host cell immune system.

Non-alcoholic fatty liver disease occurs when triglycerides are stored in the liver leading to irreversible scarring and damage of liver tissue. Inside the liver, adipose triglyceride lipase is responsible for the breaking down of triglycerides and is regulated by the inhibitor g0/g1 switch gene 2 (G0S2). G0S2 is proposed to be one of the targets against drug design for non-alcoholic fatty liver disease, and more information is needed on the structure of this protein to aid in drug discovery. Here I describe the expression of G0S2 in an E. coli system as well as purification and biophysical characterization of a functional G0S2 in amounts viable for solution state Nuclear Magnetic Resonance (NMR) spectroscopy. Initial spectra of the isotopically labeled protein show well dispersed 15N resonance lines, clean 13C resonances, and dominant a-helices characteristics. These results show that a prepared G0S2 construct is suitable for solution NMR such that 20 amino acids are now assigned in the G0S2 portion of the protein, allowing for further NMR work with this protein for structural discovery. Further work with a large oligomeric complex of G0S2 with Maltose Binding Protein also shows promise for future cryo-EM work.