Matching Items (120)
Description
Transition metal ions such as Zn2+, Mn2+, Co2+, and Fe2+ play crucial roles in organisms from all kingdoms of life. The homeostasis of these ions is mainly regulated by a group of secondary transporters from the cation diffusion facilitator (CDF) family. The mammalian zinc transporters (ZnTs), a subfamily of CDF, have been an important target for study as they are associated with several diseases, such as diabetes, delayed growth and osteopenia, Alzheimer’s disease, and Parkinsonism. The bacterial homolog of ZnTs, YiiP, is the first CDF transporter with a determined structure and is used as a model for studying the structural and mechanistic properties of CDF transporters. On the other hand, Molecular dynamics simulation has emerged as a valuable computational tool for exploring the physical basis of biological macromolecules' structure and function with atomic precision at femtosecond resolution. This work aims to elucidate the roles of the three Zn$2+ binding sites found on each YiiP protomer and the role of protons in the transport process of CDFs, which remain under debate despite previous thermodynamic and structural studies on YiiP. Cryo-EM, microscale thermophoresis (MST) and molecular dynamics (MD) simulations were used to address these questions. With a Zn2+ model that accurately reproduces experimental structures of the binding clusters, the dynamical influence of zinc binding on the transporter was accessed through MD simulations, which was consistent with the new cryo-EM structures. Zinc binding affinities obtained through MST were used to infer the stoichiometry of Zn2+/H+ antiport in combination with a microscopic thermodynamic model and constant pH simulations. The most likely microstates of H$^+$ and Zn2+ binding indicated a transport stoichiometry of 1 Zn2+ to 2-3 H+ depending on the external pH. A model describing the entire transport cycle of YiiP was finally built on these findings, providing insight into the structural and mechanistic properties of CDF transporters.
ContributorsFan, Shujie (Author) / Beckstein, Oliver (Thesis advisor) / Ozkan, Banu (Committee member) / Heyden, Matthias (Committee member) / Van Horn, Wade (Committee member) / Arizona State University (Publisher)
Created2023
Description
The Bayesian paradigm provides a flexible and versatile framework for modeling complex biological systems without assuming a fixed functional form or other constraints on the underlying data. This dissertation explores the use of Bayesian nonparametric methods for analyzing fluorescence microscopy data in biophysics, with a focus on enumerating diffraction-limited particles, reconstructing potentials from trajectories corrupted by measurement noise, and inferring potential energy landscapes from fluorescence intensity experiments. This research demonstrates the power and potential of Bayesian methods for solving a variety of problems in fluorescence microscopy and biophysics more broadly.
ContributorsBryan IV, J Shepard (Author) / Presse, Steve (Thesis advisor) / Ozkan, Banu (Committee member) / Wadhwa, Navish (Committee member) / Shepherd, Doug (Committee member) / Arizona State University (Publisher)
Created2023
Description
Secondary active transporters play significant roles in maintaining living cells' homeostasis by utilizing the electrochemical gradient in driving ions or protons as the source of free energy to transport substrate through biological membranes.A broadly recognized molecular framework, the alternating access model, describes the transport mechanism as the transporter undergoes conformational changes between different conformations and alternatingly exposes its binding site to intracellular and extracellular sides and, thus, exchanges ion and substrate in a cyclical manner.
Recent progress in structural biology brought the first-ever structural insights into the mammalian Cation-Proton Antiporters (CPA) family of proteins.
However, the dynamic atomic-level information about the interactions between the newly discovered structures and the bound ion or the corresponding substrate remains unknown.
With Molecular Dynamics (MD), multiple spontaneous ion binding events were observed in the equilibrium simulations, revealing the binding site topology of Horse Sodium-Proton Exchanger 9 (NHE9) and Bison Sodium-Proton Antiporter 2 (NHA2) in their preferred protonation state.
Further investigation into more CPA homologs compared various aspects, including sequence identity, binding site topology, and energetic properties, and obtained general insights into the similarities shared by the binding process of CPA members.
The putative binding site and other conserved residues in their actively ion-bound poses were identified for each model, and their similarities were compared.
The energetic properties accessed by the three-dimensional free energy profile, initially found to be binding unfavorable for the experimental structures, were recalculated based on the simulation data. The updated results show consistency with the correct binding affinity as indicated by the experimental methods.
This work provided a general picture of the structures and the ion-protein interaction of CPA proteins and serves as comprehensive guidance for any related future structural and computational work.
ContributorsZhang, Chenou (Author) / Beckstein, Oliver (Thesis advisor) / Ozkan, Banu (Committee member) / Ros, Robert (Committee member) / Singharoy, Abhishek (Committee member) / Arizona State University (Publisher)
Created2023
Description
The understanding of protein functions in vivo is very important since the protein is the building block of a cell. Cryogenic electron microscopy (cryo-EM) is capable of visualizing protein samples in their near-native states in high-resolution details. Cryo-EM enables the visualization of biomolecular structures at multiscale ranging from a cellular structure to an atomic structure of protein subunit.Neurodegenerative diseases, like Alzheimer’s disease and frontotemporal dementia, have multiple dysregulated signaling pathways. In my doctoral studies, I investigated two protein complexes relevant to these disorders: one is the proNGF- p75 neurotrophin receptor (p75NTR)- sortilin neurotrophin complex and the other is the p97R155H mutant complex. The neurotrophins are a family of soluble basic growth factors involved in the development, maintenance, and proliferation of neurons in the central nervous system (CNS) and peripheral nervous system (PNS). The ligand for the neuronal receptors dictates the fate of the neuronal cells. My studies focused on understanding the binding interfaces between the proteins in the proNGF-p75NTR-sortilin neuronal apoptotic complex. I have performed the biochemical characterization of the complex to understand how the complex formation occurs.
Single amino-acid mutation of R155H on the N-domain of p97 is known to be the prevalent mutation in 40% patients suffering from neurodegenerative disease. The p97R155H mutant exhibits abnormal ATPase activity and cofactor dysregulation. I pursued biochemical characterization in combination with single-particle cryo-EM to explore the interaction of p97R155H mutant with its cofactor p47 and determined the full-length structures of the p97R155H-p47 assemblies for the first time. About 40% p97R155H organizes into higher order dodecamers, which lacks nucleotide binding, does not bind to p47, and closely resembles the structure of p97 bound with an adenosine triphosphate (ATP)-competitive inhibitor, CB-5083, suggesting an inactive state of the p97R155H mutant. The structures also revealed conformational changes of the arginine fingers which might contribute to the elevated p97R155H ATPase activity. Because the D1-D2 domain communication is important in regulating the ATPase function, I further studied the functions of the conserved L464 residue on the D1-D2 linker using mutagenesis and single-particle cryo-EM. The biochemical and structural results suggested the torsional constraint of the D1-D2 linker likely modulates the D2 ATPase activity. Our studies thus contributed to develop deeper knowledge of the intricate cellular mechanisms and the proteins affected in disease pathways.
ContributorsNandi, Purbasha (Author) / Chiu, Po-Lin (Thesis advisor) / Mazor, Yuval (Committee member) / Hansen, Debra T (Committee member) / Arizona State University (Publisher)
Created2022
Description
Nucleic acid nanotechnology is a field of nanoscale engineering where the sequences of deoxyribonucleicacid (DNA) and ribonucleic acid (RNA) molecules are carefully designed to create self–assembled nanostructures with higher spatial resolution than is available to top–down fabrication methods. In the 40 year history
of the field, the structures created have scaled from small tile–like structures constructed from a few hundred
individual nucleotides to micron–scale structures assembled from millions of nucleotides using the technique
of “DNA origami”. One of the key drivers of advancement in any modern engineering field is the parallel
development of software which facilitates the design of components and performs in silico simulation of the
target structure to determine its structural properties, dynamic behavior, and identify defects. For nucleic acid
nanotechnology, the design software CaDNAno and simulation software oxDNA are the most popular choices
for design and simulation, respectively. In this dissertation I will present my work on the oxDNA software
ecosystem, including an analysis toolkit, a web–based graphical interface, and a new molecular visualization
tool which doubles as a free–form design editor that covers some of the weaknesses of CaDNAno’s lattice–based design paradigm. Finally, as a demonstration of the utility of these new tools I show oxDNA simulation
and subsequent analysis of a nanoscale leaf–spring engine capable of converting chemical energy into dynamic motion. OxDNA simulations were used to investigate the effects of design choices on the behavior of
the system and rationalize experimental results.
ContributorsPoppleton, Erik (Author) / Sulc, Petr (Thesis advisor) / Yan, Hao (Committee member) / Forrest, Stephanie (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2022
Description
To understand the mechanism behind real-life phenomena, e.g., bacterial infection, metabolic disorders and cancer, it is becoming more and more necessary to get to the level of individual cells and single molecules. This dissertation focuses on the application of atomic force microscopy and nanopore translocation related techniques to study microbial surface characteristics and single molecule properties at the nanoscale. At the cellular level, surface characteristics of single wild type and phoP mutant Salmonella typhimurium cells were analyzed to get a better understanding about the resistance of Salmonella typhimurium to antibiotics. These bacteria were grown under different 〖Mg〗^(2+) concentrations. 〖Mg〗^(2+) is known to modulate the activities of phoP gene which regulates surface structure modifications of Salmonella typhimurium. Wild type Salmonella typhimurium surfaces were found to have an average roughness of 6.6 ± 0.9 nm for high 〖Mg〗^(2+) and 6.0 ± 1.3 nm for low 〖Mg〗^(2+) concentrations, rougher than the 5.3 ± 1.1 nm (high 〖Mg〗^(2+)) and 5.6 ± 1.5 nm (low 〖Mg〗^(2+)) for phoP mutant. In addition, mutant Salmonella typhimurium have average surface potentials of -40 ± 19 mV (high 〖Mg〗^(2+)) and 20 ± 33 mV (low 〖Mg〗^(2+)), comparing to the -65 ± 23 mV (high 〖Mg〗^(2+)) and -71 ± 27 mV (low 〖Mg〗^(2+)) of wild-type bacteria. These significant surface characteristics differences will provide insights in the important role of the phoP gene in regulating Salmonella typhimurium surface structures. On the single-molecule level, the forming components of chromatin from two esophagus cell lines, one normal (EPC2) and one cancerous (CPD), were studied using atomic force microscopy (AFM) recognition imaging. Both EPC2 and CPD chromatin samples were found to contain histone H3 and SMC2, a subunit of the condensin complex. Western blotting results supported this conclusion. Further, DNA translocation speeds through a nanopore were controlled by utilizing rolling circle replication (RCR) with Φ29 polymerases. This is a major part for future sequencing single glycosaminoglycan (GAG) molecules to resolve their structures. Translocation time on the scale of seconds, which is much longer compared to the translocation of free DNA molecules, had been detected, indicating that the polymerase successfully controlled the translocation process.
ContributorsLiu, Jiawei (Author) / Ros, Robert RR (Thesis advisor) / Lindsay, Stuart SL (Committee member) / Wang, Xu XW (Committee member) / Hariadi, Rizal RH (Committee member) / Arizona State University (Publisher)
Created2022
Description
Transportation of material across a cell membrane is a vital process for maintaininghomeostasis. Na+/H+ antiporters, for instance, help maintain cell volume and regulate
intracellular sodium and proton concentrations. They are prime drug targets, since
dysfunction of these crucial proteins in humans is linked to heart and neurodegenerative
diseases. Due to their placement in a cell membrane, their study is particularly difficult
compared to globular proteins, which is likely the reason the transport mechanisms
for these proteins are not entirely known. This work focuses on the electrogenic
bacterial homologs Thermus thermophilus NapA (TtNapA) and Echerichia coli NhaA
(EcNhaA), each transporting one sodium from the interior of the cell for two protons
on outside of the cell. Even though X-ray crystal structures for both of these systems
have been resolved, their study through molecular dynamics (MD) simulations is
limited. The dynamic protonation and deprotonation of the binding site residues is
a fundamental process in the transport cycle, which currently cannot be explored
intuitively with standard MD methodologies. Apart from this limitation, simulation
performance is only a fraction of what is needed to understand the full transport
process, particularly when it comes to global conformational changes. This work
seeks to overcome these limitations through the development and application of a
multiscale thermodynamic and kinetic framework for constructing models capable of
predicting experimental observables, such as the dependence of transporter turnover
on membrane voltage. These models allow interpretation of the effects of individual
processes on the function as a whole. This procedure is demonstrated for TtNapA and
the connection between structure and function is shown by computing cycle turnover
across a range of non-equilibrium conditions.
ContributorsKenney, Ian Michael (Author) / Beckstein, Oliver (Thesis advisor) / Ozkan, Sefika Banu (Committee member) / Heyden, Matthias (Committee member) / Vaiana, Sara (Committee member) / Arizona State University (Publisher)
Created2022
Description
Pediatric traumatic brain injury (TBI) is a leading cause of death and disability in children. When TBI occurs in children it often results in severe cognitive and behavioral deficits. Post-injury, the pediatric brain may be sensitive to the effects of TBI while undergoing a number of age-dependent physiological and neurobiological changes. Due to the nature of the developing cortex, it is important to understand how a pediatric brain recovers from a severe TBI (sTBI) compared to an adult. Investigating major cortical and cellular changes after sTBI in a pediatric model can elucidate why pediatrics go on to suffer more neurological damage than an adult after head trauma. To model pediatric sTBI, I use controlled cortical impact (CCI) in juvenile mice (P22). First, I show that by 14 days after injury, animals begin to show recurrent, non-injury induced, electrographic seizures. Also, using whole-cell patch clamp, layer V pyramidal neurons in the peri-injury area show no changes except single-cell excitatory and inhibitory synaptic bursts. These results demonstrate that CCI induces epileptiform activity and distinct synaptic bursting within 14 days of injury without altering the intrinsic properties of layer V pyramidal neurons. Second, I characterized changes to the cortical inhibitory network and how fast-spiking (FS) interneurons in the peri-injury region function after CCI. I found that there is no loss of interneurons in the injury zone, but a 70% loss of parvalbumin immunoreactivity (PV-IR). FS neurons received less inhibitory input and greater excitatory input. Finally, I show that the cortical interneuron network is also affected in the contralateral motor cortex. The contralateral motor cortex shows a loss of interneurons and loss of PV-IR. Contralateral FS neurons in the motor cortex synaptically showed greater excitatory input and less inhibitory input 14 days after injury. In summary, this work demonstrates that by 14 days after injury, the pediatric cortex develops epileptiform activity likely due to cortical inhibitory network dysfunction. These findings provide novel insight into how pediatric cortical networks function in the injured brain and suggest potential circuit level mechanisms that may contribute to neurological disorders as a result of TBI.
ContributorsNichols, Joshua (Author) / Anderson, Trent (Thesis advisor) / Newbern, Jason (Thesis advisor) / Neisewander, Janet (Committee member) / Qiu, Shenfeng (Committee member) / Stabenfeldt, Sarah (Committee member) / Arizona State University (Publisher)
Created2015
Description
In disordered soft matter system, amorphous and crystalline components might be coexisted. The interaction between the two distinct structures and the correlation within the crystalline components are crucial to the macroscopic property of the such material. The spider dragline silk biopolymer, is one of such soft matter material that exhibits exceptional mechanical strength though its mass density is considerably small compare to structural metal. Through wide-angle X-ray scattering (WAXS), the research community learned that the silk fiber is mainly composed of amorphous backbone and $\beta$-sheet nano-crystals. However, the morphology of the crystalline system within the fiber is still not clear. Therefore, a combination of small-angle X-ray scattering experiments and stochastic simulation is designed here to reveal the nano-crystalline ordering in spider silk biopolymer. In addition, several density functional theory (DFT) calculations were performed to help understanding the interaction between amorphous backbone and the crystalline $\beta$-sheets.
By taking advantage of the prior information obtained from WAXS, a rather crude nano-crystalline model was initialized for further numerical reconstruction. Using Markov-Chain stochastic method, a hundreds of nanometer size $\beta$-sheet distribution model was reconstructed from experimental SAXS data, including silk fiber sampled from \textit{Latrodectus hesperus}, \textit{Nephila clavipes}, \textit{Argiope aurantia} and \textit{Araneus gemmoides}. The reconstruction method was implemented using MATLAB and C++ programming language and can be extended to study a broad range of disordered material systems.
By taking advantage of the prior information obtained from WAXS, a rather crude nano-crystalline model was initialized for further numerical reconstruction. Using Markov-Chain stochastic method, a hundreds of nanometer size $\beta$-sheet distribution model was reconstructed from experimental SAXS data, including silk fiber sampled from \textit{Latrodectus hesperus}, \textit{Nephila clavipes}, \textit{Argiope aurantia} and \textit{Araneus gemmoides}. The reconstruction method was implemented using MATLAB and C++ programming language and can be extended to study a broad range of disordered material systems.
ContributorsMou, Qiushi (Author) / Yarger, Jeffery (Thesis advisor) / Benmore, Chris (Committee member) / Holland, Gregory (Committee member) / Ros, Robert (Committee member) / Arizona State University (Publisher)
Created2015
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