Cholera toxin (CT), secreted from Vibrio cholerae, causes a massive fluid and electrolyte efflux in the small intestine that results in life-threatening diarrhea and dehydration which impacts 3-5 million people per year. CT is secreted into the intestinal lumen but acts within the cytosol of intestinal epithelial cells. CT is an AB5 toxin that has a catalytic A1 subunit and a cell binding B subunit. CT moves from the cell surface to the endoplasmic reticulum (ER) by retrograde transport. Much of the toxin is transported to the lysosomes for degradation, but a secondary pool of toxin is diverted to the Golgi apparatus and then to the ER. Here the A1 subunit detaches from the rest of the toxin and enters the cytosol. The disordered conformation of free CTA1 facilitates toxin export to the cytosol by activating a quality control mechanism known as ER-associated degradation. The return to a folded structure in the cytosol allows CTA1 to attain an active conformation for modification of its Gsα target through ADP-ribosylation. This modification locks the protein in an active state which stimulates adenylate cyclase and leads to elevated levels of cAMP. A chloride channel located in the apical enterocyte membrane opens in response to signaling events induced by these elevated cAMP levels. The osmotic movement of water into the intestinal lumen that results from the chloride efflux produces the characteristic profuse watery diarrhea that is seen in intoxicated individuals. The current model of intoxication proposes only one molecule of cytosolic toxin is required to affect host cells, making therapeutic treatment nearly impossible. However, based on emerging evidence, we hypothesize a threshold quantity of toxin must be present within the cytosol of the target cell in order to elicit a cytopathic effect. Using the method of surface plasmon resonance along with toxicity assays, I have, for the first time, directly measured the efficiency of toxin delivery to the cytosol and correlated the levels of cytosolic toxin to toxin iv activity. I have shown CTA1 delivery from the cell surface to the cytosol is an inefficient process with only 2.3 % of the surface bound CTA1 appearing in the cytosol after 2 hours of intoxication. I have also determined and a cytosolic quantity of more than approximately .05ng of cytosolic CTA1 must be reached in order to elicit a cytopathic effect. Furthermore, CTA1 must be continually delivered from the cell surface to the cytosol in order to overcome the constant proteasome-mediated clearance of cytosolic toxin. When toxin delivery to the cytosol was blocked, this allowed the host cell to de-activate Gs, lower cAMP levels, and recover from intoxication. Our work thus indicates it is possible to treat cholera even after the onset of disease. These findings challenge the idea of irreversible cellular toxicity and open the possibility of postintoxication treatment options.

The glycoprotein CD36 is expressed in the plasma membrane (PM) of many cell types that surround or contact arteries, including macrophages, myocytes, and endothelial cells. CD36 binds oxidized low density lipoprotein (oxLDL), which promotes atherosclerosis, and fatty acids (FA), which promotes their cellular uptake. To gain insights into the molecular mechanisms of uptake, HEK293 cells expressing CD36 were studied by cell biological and fluorescence methods. To test our hypothesis that the PM is not an impermeable barrier to FA and that FA move into cells by diffusion via their uncharged form, we first applied biophysical fluorescence spectroscopy to directly measure transmembrane FA movement and membrane fluidity. Expression of CD36 in HEK293 cells did not increase either transport across the PM or the fluidity of the PM compared to HEK293 cells without CD36; however, CD36 enhanced intracellular FA esterification. Furthermore, the widely used “inhibitors” of FA transport did not alter either the rapid FA transmembrane diffusion in HEK293 cells or diffusion in control experiments with protein-free phospholipid bilayers. To gain new insights into the physiological relevance of FA binding to CD36, we applied surface plasmon resonance (SPR) to quantify FA and oxLDL binding to the ectodomain of CD36. Structurally distinct FA [saturated, monounsaturated (cis and trans), polyunsaturated, ω-3, ω-6, and oxidized FA] were pulsed in a solubilized form (bound to methyl-β-cyclodextrin) across SPR channels, generating real-time association and dissociation binding curves. With the exception of the oxidized FA hydroxyoctadecadienoic acid (HODE), all FA tested bound to CD36 with rapid association and dissociation kinetics similar to human serum albumin. In addition, FA increased oxLDL binding to CD36. To investigate whether FA affect CD36-mediated oxLDL uptake in live cells, we monitored fluorescent oxLDL (Dii-oxLDL) uptake using confocal microscopy. Addition of exogenous FA to serum-free media enhanced dose-dependent oxLDL uptake. Exceptions were ω-3 FA, which bound to CD36, and HODE, which did not bind to CD36, demonstrating FA structure-specific effects on a major function of CD36 and a new mechanistic link between atherosclerosis and high levels of FA in obese and Type-II diabetic individuals.

Non-equilibrium systems have no set method of analysis, and a wide array of dynamics can be present in such systems. In this work we present three very different non-equilibrium models, inspired by biological systems and phenomena, that we analyze through computational means to showcase both the range of dynamics encompassed by these systems, as well as various techniques used to analyze them. The first system we model is a surface plasmon resonance (SPR) cell, a device used to determine the binding rates between various species of chemicals. We simulate the SPR cell and compare these computational results with a mean-field approximation, and find that such a simplification fails for a wide range of reaction rates that have been observed between different species of chemicals. Specifically, the mean-field approximation places limits on the possible resolution of the measured rates, and such an analysis fails to capture very fast dynamics between chemicals. The second system we analyzed is an avalanching neural network that models cascading neural activity seen in monkeys, rats, and humans. We used a model devised by Lombardi, Herrmann, de Arcangelis et al. to simulate this system and characterized its behavior as the fraction of inhibitory neurons was changed. At low fractions of inhibitory neurons we observed epileptic-like behavior in the system, as well as extended tails in the avalanche strength and duration distributions, which dominate the system in this regime. We also observed how the connectivity of these networks evolved under the effects of different inhibitory fractions, and found the high fractions of inhibitory neurons cause networks to evolve more sparsely, while networks with low fractions maintain their initial connectivity. We demonstrated two strategies to control the extreme avalanches present at low inhibitory fractions through either the random or targeted disabling of neurons. The final system we present is a sparsely encoding convolutional neural network, a computational system inspired by the human visual cortex that has been engineered to reconstruct images inputted into the network using a series of "patterns" learned from previous images as basis elements. The network attempts to do so "sparsely," so that the fewest number of neurons are used. Such systems are often used for denoising tasks, where noisy or fragmented images are reconstructed. We observed a minimum in this denoising error as the fraction of active neurons was varied, and observed the depth and location of this minimum to obey finite-size scaling laws that suggest the system is undergoing a second-order phase transition. We can use these finite-size scaling relations to further optimize this system by tuning it to the critical point for any given system size. / Doctor of Philosophy / Non-equilibrium systems have no set method of analysis, and a wide array of dynamics can be present in such systems. In this work we present three very different non-equilibrium models, inspired by biological systems and phenomena, that we analyze through computational means to showcase both the range of dynamics encompassed by these systems, as well as various techniques used to analyze them. The first system we model is a surface plasmon resonance (SPR) cell, a device used to determine the binding rates between various species of chemicals. We simulate the SPR cell and compare these computational results with a mean-field approximation, and find that such a simplification fails for a wide range of reaction rates that have been observed between different species of chemicals. Specifically, the mean-field approximation places limits on the possible resolution of the measured rates, and such an analysis fails to capture very fast dynamics between chemicals. The second system we analyzed is an avalanching neural network that models cascading neural activity seen in monkeys, rats, and humans. We used a model devised by Lombardi, Herrmann, de Arcangelis et al. to simulate this system and characterized its behavior as the fraction of inhibitory neurons was changed. At low fractions of inhibitory neurons we observed epileptic-like behavior in the system, as well as extended tails in the avalanche strength and duration distributions, which dominate the system in this regime. We also observed how the connectivity of these networks evolved under the effects of different inhibitory fractions, and found the high fractions of inhibitory neurons cause networks to evolve more sparsely, while networks with low fractions maintain their initial connectivity. We demonstrated two strategies to control the extreme avalanches present at low inhibitory fractions through either the random or targeted disabling of neurons. The final system we present is a sparsely encoding convolutional neural network, a computational system inspired by the human visual cortex that has been engineered to reconstruct images inputted into the network using a series of “patterns” learned from previous images as basis elements. The network attempts to do so “sparsely,” so that the fewest number of neurons are used. Such systems are often used for denoising tasks, where noisy or fragmented images are reconstructed. We observed a minimum in this denoising error as the fraction of active neurons was varied, and observed the depth and location of this minimum to obey finite-size scaling laws that suggest the system is undergoing a second-order phase transition. We can use these finite-size scaling relations to further optimize this system by tuning it to the critical point for any given system size.

Surface plasmon resonance (SPR) is a label-free, versatile and highly sensitive method for studying molecular interactions in real time. It is widely used by industry and academia alike in fields ranging from Alzheimer’s disease research to detection of heavy metals. In this review, studies published during the last 10 years using Biacore or other SPR instruments were compiled and compared. Trends were also identified in the field. Amine coupling was found to be the most common ligand strategy for proteins, and most SPR research related to the field of medicine. Furthermore, three main purposes of an SPR experiment were identified: To determine the affinity between a pair of molecules, kinetics between a pair of molecules or to detect a certain molecule in a solution. The results presented are often related to these three purposes, and are most often presented and evaluated in terms of kinetic, affinity and sensitivity constants. SPR can be used for studying a broad range of molecular interactions, and an overview was obtained by dividing up the field into different parts based on molecular interactions and SPR methods. The study of molecular interactions using SPR was divided into protein-protein interactions (PPIs), antibody-antigen, protein-biomolecule interactions, interactions between proteins and small molecules, and non-conventional SPR methods. Non-conventional SPR methods include localized surface plasmon resonance (LSPR) and SPR imaging (SPRi), which are both based on the same optical sensing principles as SPR.

As the two most abundant natural polymers on earth, cellulose and chitin have attracted increasing attention as a source of renewable energy and functional materials. Thin films of cellulose and chitin are useful for studying interactions of these materials with other natural and synthetic molecules via techniques such as quartz crystal microbalance with dissipation monitoring (QCM-D) and surface plasmon resonance (SPR). Because of the difficulty of extracting native cellulose, regenerated cellulose (RC), sulfated nanocrystalline cellulose (SNC), and desulfated nanocrystalline cellulose (DNC) thin films are often studied in its place. In this work, QCM-D solvent exchange studies showed that water contents of RC, SNC and DNC films were proportional to the film thickness (d). Accessibility and degradation of the films was further analyzed via substrate exposure to cellulase. Cellulase adsorption onto RC films was independent of d, whereas cellulase adsorption onto SNC and DNC films increased with d. Enhanced access to guest molecules for SNC and DNC films relative to RC films revealed they are more porous. The porosity of these cellulose films aided in understanding the observed differences of xyloglucan (XG) adsorption onto their surfaces. Xyloglucan adsorption onto RC, SNC, and DNC was studied by QCM-D and SPR. The amount of adsorbed XG increased in the order RC < SNC < DNC. XG adsorption onto RC films was independent of d, whereas XG adsorption was weakly dependent upon d for SNC films and strongly dependent upon d for DNC films. However, XG adsorbed onto "monolayer" thin films of RC, SNC, and DNC in approximately the same amount. These results suggested that the morphology and surface charge of the cellulose substrate had a limited effect upon XG adsorption and that accessible surface area of the cellulose film may be the factor leading to apparent differences in XG adsorption for different surfaces. The porosity and surface charge of SNC films presented a unique opportunity to examine polyelectrolyte adsorption and subsequent dewatering of the SNC substrate. The adsorption of a series of cationically derivatized dextran (cDex) polyelectrolytes with various degrees of substitution (DS) onto SNC was studied using QCM-D and SPR. As the hydrophobic character of the cDex samples increased, the water content of the adsorbed cDex layer decreased. For cDex with the greatest hydrophobic content, nearly 50% by mass of the initial water present in the porous SNC film was removed upon cDex adsorption. This study indicated that the water content of the film could be tailored by controlling the DS and hydrophobic character of the polyelectrolyte. This work also presents the first report of smooth, homogeneous, ultrathin chitin films, opening the door to surface studies of binding interactions, adsorption kinetics, and enzymatic degradation. The chitin films were formed by spincoating trimethylsilyl chitin onto gold or silica substrates, followed by regeneration to a chitin film. The utility of these chitin films as biosensors was evident from QCM-D and SPR studies that revealed bovine serum albumin adsorbed as a monolayer. / Ph. D.

Self-assembly of polysaccharide derivatives at liquid/solid interfaces was studied by surface plasmon resonance spectroscopy (SPR) and quartz crystal microbalance with dissipation monitoring (QCM-D). Carboxymethyl cellulose (CMC) adsorption onto cellulose surfaces from aqueous solutions was enhanced by electrolytes, especially by divalent cations. A combination of SPR and QCM-D results showed that CMC formed highly hydrated layers on cellulose surfaces (90 to 95% water by mass). Voigt-based viscoelastic modeling of the QCM-D data was consistent with the existence of highly hydrated CMC layers with relatively low shear viscosities of ~ 10-3 N·s·m-2 and elastic shear moduli of ~ 105 N·m-2. Adsorption of pullulan 3-methoxycinnamates (P3MC) and pullulan 4-chlorocinnamates (P4CC) with different degrees of cinnamate substitution (DSCinn) onto cellulose, cellulose acetate propionate (CAP), poly(L-lactic acid) (PLLA), and methyl-terminated self-assembled monolayer (SAM-CH3) surfaces was also studied by SPR and QCM-D. Hydrophobic cinnamate groups promoted the adsorption of pullulan onto all surfaces and the adsorption onto hydrophobic surfaces was significantly greater than onto hydrophilic surfaces. SPR and QCM-D results showed that P3MC and P4CC also formed highly hydrated layers (70 to 90% water by mass) with low shear viscosities and elastic shear moduli. Finally, cellulose adsorption and activity on pullulan cinnamate (PC) and cellulose blend films were studied via QCM-D and in situ atomic force microscopy (AFM). The hydrophobicity of PC surfaces was controlled by adjusting the degree of cinnamate substitution per anhydroglucose unit (DSCinn). It was found that cellulase showed weak adsorption onto low DSCinn PC surfaces, whereas cellulase adsorbed strongly onto high DSCinn PC surfaces, a clear indication of the role surface hydrophobicity played on enzyme adsorption. Moreover, cellulase catalyzed hydrolysis of cellulose/PC and cellulose/polystyrene (PS) blend surfaces was studied. The QCM-D results showed that the cellulase hydrolysis rate on cellulose in cellulose/PC blend surfaces decreased with increasing DSCinn. AFM images revealed smooth surfaces for cellulose/PC (DSCinn = 0.3) blend surfaces and laterally phase separated morphologies for cellulose/PC (DSCinn ≥ 0.7) blend surfaces. The combination of QCM-D and AFM measurements indicated that cellulase catalyzed hydrolysis was strongly affected by surface morphology. The cellulase hydrolysis activity on cellulose in cellulose/PS blend surfaces was similar with cellulose/PC blend surfaces (DSCinn ≥ 0.7). These studies showed self-assembly of macromolecules could be a promising strategy to modify material surfaces and provided further fundamental understanding of adsorption phenomena and bioactivity of macromolecules at liquid/solid interfaces. / Ph. D.

Surface plasmon resonance has become a widely investigated phenomenon in the past few years. Initially descriptive of light interactions with metallic films, research has branched out to encompass the nanoparticles as well. Generation of the maximum surface plasmon resonance for nanostructures is based on the resonance condition that the oscillatory behavior of the 'free' electrons on the surface of the particle become equivalent to the frequency of the excitation light; for films this required a specific geometry. Metallic nanoparticles have also interested researchers because of their unique optical properties. Depending on the metal, observations of quenching as well as fluorescence enhancement have been reported. Based on the phenomenon of surface plasmon resonance as well as the properties of metallic nanoparticles, this research reports the interaction of gold and silver nanoparticles in an aqueous dye solution. Our research is the basis for developing an optical sensor used for water treatment centers as an alarm mechanism. Due to the inefficiency of the fluorophore used in similar optodes, sufficient fluorescence was not obtained. With the addition of the nanoparticles, we hoped to observe the transfer of energy from the nanoparticle to the fluorophore to increase the overall intensity, thereby creating a sufficient signal. Using the excitation theories discovered by Raman, Mie, and Forster and Dexter as our foundation, we mixed a strongly fluorescent dye with gold nanoparticles and aagain with silver nanoparticles. After taken measurements via fluorescence spectroscopy, absorption spectroscopy, and photoluminescence excitation, we observed that the silver nanoparticles seemed to enhance the fluorescence of the dye while the gold nanoparticles quenched the fluorescence. / Master of Science

Metallic nanoparticles (NPs) are exploited for their ability to interact with organic compounds and to increase significantly the fluorescence intensity and the photostability of many fluorescent dye molecules. Metal enhanced fluorescence (MEF) is therefore widely investigated for biosensing applications. When used in immunoassays, silver island films (SIFs) could augment the fluorescence intensity of fluorescein by a factor of seventeen; SIFs were also able to double or triple the emission intensity of cyanine dyes which are commonly used in (deoxyribonucleic acid) DNA microarrays. The emission intensity of indocyanine green — widely used as a contrast agent in medical imaging — was about twenty times higher in the proximity of SIFs. This enhancement phenomenon — due to the surface plasmon polaritons associated with the metallic NPs — can be explained by energy transfer from the metal NPs to the fluorescent dye molecules or by a modified local electromagnetic field experienced by the fluorophores in the vicinity of metal surfaces. Our research focused on the optical characterization of colloidal gold-silver alloy NPs containing different ratios of gold and silver (Au_1.00-Ag_0.00, Au_0.75-Ag_0.25, Au_0.50-Ag_0.50, and Au_0.25-Ag_0.75), as well as their interaction with three fluorophores: rose bengal, rhodamine B, and fluorescein sodium. Depending upon the dye quantum yield and its concentration in solution, enhancement or quenching of fluorescence was obtained. Thus, a three to five times increase in fluorescence intensity was observed in a 2.0 mM solution of rose bengal with all nanoalloys, a slight enhancement of fluorescence (1.2 – 1.6 times) was noticed in a 0.13 mM solution of rhodamine B with all four types of NPs, and fluorescence quenching occurred in all the fluorescein-NP solutions regardless of the dye concentration. / Master of Science

京都大学 / 新制・課程博士 / 博士(工学) / 甲第25296号 / 工博第5255号 / 京都大学大学院工学研究科材料化学専攻 / (主査)教授 田中 勝久, 教授 三浦 清貴, 教授 藤田 晃司 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM

The content of this thesis is based upon the interaction of light with metallic nanoparticles arranged in different array geometries. An incident electric field (light) can force the conduction electrons of a metallic nanoparticle to oscillate. At particular frequencies, in the optical regime for gold and silver particles, absorption and scattering of the light by the particle is enhanced, corresponding to the particle plasmon resonance. The spectral position and width of the particle plasmon resonance of an isolated single particle may be tuned by adjusting its size and shape, thus changing the surface charge distribution. Periodic arrays of particles offer additional control over the frequency and width of the resonance attributed to the re-radiating (scattering) property of plasmonic particles. By fabricating arrays with a pitch comparable to the wavelength of an isolated single particle plasmon resonance, a coherent interaction between particles may be produced, known as surface lattice resonances (SLRs). The electromagnetic coupling between in-plane particle plasmon modes for different particle array geometries is explored through experiment and theory. Firstly, SLRs in square, hexagonal and honeycomb arrays are investigated by normal-incidence extinction measurements and compared to a simple-coupled dipole model. Secondly, to verify the nature of the coupling between the scattered electric field associated with particle resonances, the incident electric field polarization-dependence of the extinction of rectangular arrays and chains is studied. Thirdly, the optical response of square arrays with a symmetric two-particle basis is investigated, particularly the retardation of the scattered electric field between particles in a pair. Fourthly, square arrays with an asymmetric two-particle basis are fabricated to explore the symmetric (dipole moments of both particles are parallel) and anti-symmetric (dipole moment of both particles anti-parallel) SLRs, excited by normal-incidence light.