Matching Items (28)
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- All Subjects: Biophysics
- Creators: Ros, Robert
Description
Single molecule identification is one essential application area of nanotechnology. The application areas including DNA sequencing, peptide sequencing, early disease detection and other industrial applications such as quantitative and quantitative analysis of impurities, etc. The recognition tunneling technique we have developed shows that after functionalization of the probe and substrate of a conventional Scanning Tunneling Microscope with recognition molecules ("tethered molecule-pair" configuration), analyte molecules trapped in the gap that is formed by probe and substrate will bond with the reagent molecules. The stochastic bond formation/breakage fluctuations give insight into the nature of the intermolecular bonding at a single molecule-pair level. The distinct time domain and frequency domain features of tunneling signals were extracted from raw signals of analytes such as amino acids and their enantiomers. The Support Vector Machine (a machine-learning method) was used to do classification and predication based on the signal features generated by analytes, giving over 90% accuracy of separation of up to seven analytes. This opens up a new interface between chemistry and electronics with immediate implications for rapid Peptide/DNA sequencing and molecule identification at single molecule level.
ContributorsZhao, Yanan, 1986- (Author) / Lindsay, Stuart (Thesis advisor) / Nemanich, Robert (Committee member) / Qing, Quan (Committee member) / Ros, Robert (Committee member) / Zhang, Peiming (Committee member) / Arizona State University (Publisher)
Created2014
Description
The atomic force microscope (AFM) is capable of directly probing the mechanics of samples with length scales from single molecules to tissues and force scales from pico to micronewtons. In particular, AFM is widely used as a tool to measure the elastic modulus of soft biological samples by collecting force-indentation relationships and fitting these to classic elastic contact models. However, the analysis of raw force-indentation data may be complicated by mechanical heterogeneity present in biological systems. An analytical model of an elastic indentation on a bonded two-layer sample was solved. This may be used to account for substrate effects and more generally address experimental design for samples with varying elasticity. This model was applied to two mechanobiology systems of interest. First, AFM was combined with confocal laser scanning fluorescence microscopy and finite element analysis to examine stiffness changes during the initial stages of invasion of MDA-MB-231 metastatic breast cells into bovine collagen I matrices. It was determined that the cells stiffen significantly as they invade, the amount of stiffening is correlated with the elastic modulus of the collagen gel, and inhibition of Rho-associated protein kinase reduces the elastic modulus of the invading cells. Second, the elastic modulus of cancer cell nuclei was investigated ex situ and in situ. It was observed that inhibition of histone deacetylation to facilitate chromatin decondenstation result in significantly more morphological and stiffness changes in cancerous cells compared to normal cells. The methods and results presented here offer novel strategies for approaching biological systems with AFM and demonstrate its applicability and necessity in studying cellular function in physiologically relevant environments.
ContributorsDoss, Bryant Lee (Author) / Ros, Robert (Thesis advisor) / Lindsay, Stuart (Committee member) / Nikkhah, Mehdi (Committee member) / Beckstein, Oliver (Committee member) / Arizona State University (Publisher)
Created2015
Description
Mechanical properties (e.g. deformability or stiffness) are critical to a cancer cell's ability to maneuver through and exert forces upon the extracellular matrix, and thus affect its ability to metastasize. §3.1 introduces the experimental method combining atomic force microscope (AFM) based indentation and confocal laser scanning microscopy (CLSM). §3.2 presents a method combining AFM and confocal microscopy (AFM stiffness nanotomography), and results on normal and pre-cancerous esophageal cells which indicate that even in the earliest stages, cancer cells exhibit increased deformability. §3.3 presents experimental results on weakly metastatic breast cancer cells that compare well with values obtained from other experimental methods and demonstrates that the mechanical response of cells to sharp and mesoscale probes differ significantly. §3.4 presents experimental results indicating that metastatic breast cancer cells are more deformable than normal counterparts, and demonstrates that indentation measurements with sharp probes are capable of identifying mechanical differences between cytoplasmic, nuclear and nucleolar regions of the cell. §3.5 presents results on weakly metastatic breast cancer cells sensitive and resistant to tamoxifen (an estrogen antagonist), and demonstrate that estrogen has a significant effect on cell stiffness. §3.6 applies stiffness nanotomography to study metastatic breast cancer cells allowed to invade 3D collagen gels, demonstrating the ability to use AFM indentation on heterogeneous samples, and shows that cell stiffness increases during the invasion process for partially and fully embedded metastatic breast cancer cells.
ContributorsStaunton, Jack Rory (Author) / Ros, Robert (Thesis advisor) / Lindsay, Stuart M. (Committee member) / Davies, Paul C. W. (Committee member) / Vaiana, Sara M. (Committee member) / Arizona State University (Publisher)
Created2014
Description
Proteins are essential for most biological processes that constitute life. The function of a protein is encoded within its 3D folded structure, which is determined by its sequence of amino acids. A variation of a single nucleotide in the DNA during transcription (nSNV) can alter the amino acid sequence (i.e., a mutation in the protein sequence), which can adversely impact protein function and sometimes cause disease. These mutations are the most prevalent form of variations in humans, and each individual genome harbors tens of thousands of nSNVs that can be benign (neutral) or lead to disease. The primary way to assess the impact of nSNVs on function is through evolutionary approaches based on positional amino acid conservation. These approaches are largely inadequate in the regime where positions evolve at a fast rate. We developed a method called dynamic flexibility index (DFI) that measures site-specific conformational dynamics of a protein, which is paramount in exploring mechanisms of the impact of nSNVs on function. In this thesis, we demonstrate that DFI can distinguish the disease-associated and neutral nSNVs, particularly for fast evolving positions where evolutionary approaches lack predictive power. We also describe an additional dynamics-based metric, dynamic coupling index (DCI), which measures the dynamic allosteric residue coupling of distal sites on the protein with the functionally critical (i.e., active) sites. Through DCI, we analyzed 200 disease mutations of a specific enzyme called GCase, and a proteome-wide analysis of 75 human enzymes containing 323 neutral and 362 disease mutations. In both cases we observed that sites with high dynamic allosteric residue coupling with the functional sites (i.e., DARC spots) have an increased susceptibility to harboring disease nSNVs. Overall, our comprehensive proteome-wide analysis suggests that incorporating these novel position-specific conformational dynamics based metrics into genomics can complement current approaches to increase the accuracy of diagnosing disease nSNVs. Furthermore, they provide mechanistic insights about disease development. Lastly, we introduce a new, purely sequence-based model that can estimate the dynamics profile of a protein by only utilizing coevolution information, eliminating the requirement of the 3D structure for determining dynamics.
ContributorsButler, Brandon Mac (Author) / Ozkan, S. Banu (Thesis advisor) / Vaiana, Sara (Committee member) / Ghirlanda, Giovanna (Committee member) / Ros, Robert (Committee member) / Arizona State University (Publisher)
Created2016
Description
Na+/H+ antiporters are vital membrane proteins for cell homeostasis, transporting Na+ ions in exchange for H+ across the lipid bilayer. In humans, dysfunction of these transporters are implicated in hypertension, heart failure, epilepsy, and autism, making them well-established drug targets. Although experimental structures for bacterial homologs of the human Na+/H+ have been obtained, the detailed mechanism for ion transport is still not well-understood. The most well-studied of these transporters, Escherichia coli NhaA, known to transport 2 H+ for every Na+ extruded, was recently shown to bind H+ and Na+ at the same binding site, for which the two ion species compete. Using molecular dynamics simulations, the work presented in this dissertation shows that Na+ binding disrupts a previously-unidentified salt bridge between two conserved residues, suggesting that one of these residues, Lys300, may participate directly in transport of H+. This work also demonstrates that the conformational change required for ion translocation in a homolog of NhaA, Thermus thermophilus NapA, thought by some to involve only small helical movements at the ion binding site, is a large-scale, rigid-body movement of the core domain relative to the dimerization domain. This elevator-like transport mechanism translates a bound Na+ up to 10 Å across the membrane. These findings constitute a major shift in the prevailing thought on the mechanism of these transporters, and serve as an exciting launchpad for new developments toward understanding that mechanism in detail.
ContributorsDotson, David L (Author) / Beckstein, Oliver (Thesis advisor) / Ozkan, Sefika B (Committee member) / Ros, Robert (Committee member) / Van Horn, Wade (Committee member) / Arizona State University (Publisher)
Created2016
Description
My research centers on the design and fabrication of biomolecule-sensing devices that combine top-down and bottom-up fabrication processes and leverage the unique advantages of each approach. This allows for the scalable creation of devices with critical dimensions and surface properties that are tailored to target molecules at the nanoscale.
My first project focuses on a new strategy for preparing solid-state nanopore sensors for DNA sequencing. Challenges for existing nanopore approaches include specificity of detection, controllability of translocation, and scalability of fabrication. In a new solid-state pore architecture, top-down fabrication of an initial electrode gap embedded in a sealed nanochannel is followed by feedback-controlled electrochemical deposition of metal to shrink the gap and define the nanopore size. The resulting structure allows for the use of an electric field to control the motion of DNA through the pore and the direct detection of a tunnel current through a DNA molecule.
My second project focuses on top-down fabrication strategies for a fixed nanogap device to explore the electronic conductance of proteins. Here, a metal-insulator-metal junction can be fabricated with top-down fabrication techniques, and the subsequent electrode surfaces can be chemically modified with molecules that bind strongly to a target protein. When proteins bind to molecules on either side of the dielectric gap, a molecular junction is formed with observed conductances on the order of nanosiemens. These devices can be used in applications such as DNA sequencing or to gain insight into fundamental questions such as the mechanism of electron transport in proteins.
My first project focuses on a new strategy for preparing solid-state nanopore sensors for DNA sequencing. Challenges for existing nanopore approaches include specificity of detection, controllability of translocation, and scalability of fabrication. In a new solid-state pore architecture, top-down fabrication of an initial electrode gap embedded in a sealed nanochannel is followed by feedback-controlled electrochemical deposition of metal to shrink the gap and define the nanopore size. The resulting structure allows for the use of an electric field to control the motion of DNA through the pore and the direct detection of a tunnel current through a DNA molecule.
My second project focuses on top-down fabrication strategies for a fixed nanogap device to explore the electronic conductance of proteins. Here, a metal-insulator-metal junction can be fabricated with top-down fabrication techniques, and the subsequent electrode surfaces can be chemically modified with molecules that bind strongly to a target protein. When proteins bind to molecules on either side of the dielectric gap, a molecular junction is formed with observed conductances on the order of nanosiemens. These devices can be used in applications such as DNA sequencing or to gain insight into fundamental questions such as the mechanism of electron transport in proteins.
ContributorsSadar, Joshua Stephen (Author) / Qing, Quan (Thesis advisor) / Lindsay, Stuart (Committee member) / Vaiana, Sara (Committee member) / Ros, Robert (Committee member) / Arizona State University (Publisher)
Created2019
Description
Traditionally, allostery is perceived as the response of a catalytic pocket to perturbations induced by binding at another distal site through the interaction network in a protein, usually associated with a conformational change responsible for functional regulation. Here, I utilize dynamics-based metrics, Dynamic Flexibility Index and Dynamic Coupling Index to provide insight into how 3D network of interactions wire communications within a protein and give rise to the long-range dynamic coupling, thus regulating key allosteric interactions. Furthermore, I investigate its role in modulating protein function through mutations in evolution. I use Thioredoxin and β-lactamase enzymes as model systems, and show that nature exploits "hinge-shift'' mechanism, where the loss in rigidity of certain residue positions of a protein is compensated by reduced flexibility of other positions, for functional evolution. I also developed a novel approach based on this principle to computationally engineer new mutants of the promiscuous ancestral β-lactamase (i.e., degrading both penicillin and cephatoxime) to exhibit specificity only towards penicillin with a better catalytic efficiency through population shift in its native ensemble.I investigate how allosteric interactions in a protein can regulate protein interactions in a cell, particularly focusing on E. coli ribosome. I describe how mutations in a ribosome can allosterically change its associating with magnesium ions, which was further shown by my collaborators to distally impact the number of biologically active Adenosine Triphosphate molecules in a cell, thereby, impacting cell growth. This allosteric modulation via magnesium ion concentrations is coined, "ionic allostery''. I also describe, the role played by allosteric interactions to regulate information among proteins using a simplistic toy model of an allosteric enzyme. It shows how allostery can provide a mechanism to efficiently transmit information in a signaling pathway in a cell while up/down regulating an enzyme’s activity.
The results discussed here suggest a deeper embedding of the role of allosteric interactions in a protein’s function at cellular level. Therefore, bridging the molecular impact of allosteric regulation with its role in communication in cellular signaling can provide further mechanistic insights of cellular function and disease development, and allow design of novel drugs regulating cellular functions.
The results discussed here suggest a deeper embedding of the role of allosteric interactions in a protein’s function at cellular level. Therefore, bridging the molecular impact of allosteric regulation with its role in communication in cellular signaling can provide further mechanistic insights of cellular function and disease development, and allow design of novel drugs regulating cellular functions.
ContributorsModi, Tushar (Author) / Ozkan, Sefika (Thesis advisor) / Beckstein, Oliver (Committee member) / Vaiana, Sara (Committee member) / Ros, Robert (Committee member) / Arizona State University (Publisher)
Created2020
Description
The goal of this study was to investigate the possibility of catch bond formation between nectin and actin during cellular adhesion by modeling the actin-filament binding protein, afadin, out of equilibrium. This was done through the in silico methodology of Molecular Dynamics (MD); more specifically using Steered Molecular Dynamics (SMD) and Replica Exchange Molecular Dynamics (REMD). The methodology of this experiment centered around generating physiologically probable structures through REMD, then using MD and SMD methods to generate structures in the absence and presence of force respectively. These structures were then analyzed through Solvent Accessible Surface Area (SASA) measurements to assess the overall compactness of the structure, which led to implicit observations on the overall resistance of force that this structure has. Overall, it was found that the structure displayed more compact conformations in the presence of force as the SASA values of the binding pocket and individual residues involved in the system tend to decrease as force was applied. This is indicative of more stable conformations and a force resistant quality that is indicative of catch bonding, thus leading to the natural conclusion that this structure displays catch bond character.
ContributorsChapman, Jonathan (Author) / Singharoy, Abhishek (Thesis director) / Beckstein, Oliver (Committee member) / Ros, Robert (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor)
Created2024-05