Matching Items (23)
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- All Subjects: Biophysics
- All Subjects: X-Ray Crystallography
- Creators: Ghirlanda, Giovanna
- Creators: Liu, Wei
Description
The properties of materials depend heavily on the spatial distribution and connectivity of their constituent parts. This applies equally to materials such as diamond and glasses as it does to biomolecules that are the product of billions of years of evolution. In science, insight is often gained through simple models with characteristics that are the result of the few features that have purposely been retained. Common to all research within in this thesis is the use of network-based models to describe the properties of materials. This work begins with the description of a technique for decoupling boundary effects from intrinsic properties of nanomaterials that maps the atomic distribution of nanomaterials of diverse shape and size but common atomic geometry onto a universal curve. This is followed by an investigation of correlated density fluctuations in the large length scale limit in amorphous materials through the analysis of large continuous random network models. The difficulty of estimating this limit from finite models is overcome by the development of a technique that uses the variance in the number of atoms in finite subregions to perform the extrapolation to large length scales. The technique is applied to models of amorphous silicon and vitreous silica and compared with results from recent experiments. The latter part this work applies network-based models to biological systems. The first application models force-induced protein unfolding as crack propagation on a constraint network consisting of interactions such as hydrogen bonds that cross-link and stabilize a folded polypeptide chain. Unfolding pathways generated by the model are compared with molecular dynamics simulation and experiment for a diverse set of proteins, demonstrating that the model is able to capture not only native state behavior but also partially unfolded intermediates far from the native state. This study concludes with the extension of the latter model in the development of an efficient algorithm for predicting protein structure through the flexible fitting of atomic models to low-resolution cryo-electron microscopy data. By optimizing the fit to synthetic data through directed sampling and context-dependent constraint removal, predictions are made with accuracies within the expected variability of the native state.
ContributorsDe Graff, Adam (Author) / Thorpe, Michael F. (Thesis advisor) / Ghirlanda, Giovanna (Committee member) / Matyushov, Dmitry (Committee member) / Ozkan, Sefika B. (Committee member) / Treacy, Michael M. J. (Committee member) / Arizona State University (Publisher)
Created2011
Interactions driving the collapse of islet amyloid polypeptide: implications for amyloid aggregation
Description
Human islet amyloid polypeptide (hIAPP), also known as amylin, is a 37-residue intrinsically disordered hormone involved in glucose regulation and gastric emptying. The aggregation of hIAPP into amyloid fibrils is believed to play a causal role in type 2 diabetes. To date, not much is known about the monomeric state of hIAPP or how it undergoes an irreversible transformation from disordered peptide to insoluble aggregate. IAPP contains a highly conserved disulfide bond that restricts hIAPP(1-8) into a short ring-like structure: N_loop. Removal or chemical reduction of N_loop not only prevents cell response upon binding to the CGRP receptor, but also alters the mass per length distribution of hIAPP fibers and the kinetics of fibril formation. The mechanism by which N_loop affects hIAPP aggregation is not yet understood, but is important for rationalizing kinetics and developing potential inhibitors. By measuring end-to-end contact formation rates, Vaiana et al. showed that N_loop induces collapsed states in IAPP monomers, implying attractive interactions between N_loop and other regions of the disordered polypeptide chain . We show that in addition to being involved in intra-protein interactions, the N_loop is involved in inter-protein interactions, which lead to the formation of extremely long and stable β-turn fibers. These non-amyloid fibers are present in the 10 μM concentration range, under the same solution conditions in which hIAPP forms amyloid fibers. We discuss the effect of peptide cyclization on both intra- and inter-protein interactions, and its possible implications for aggregation. Our findings indicate a potential role of N_loop-N_loop interactions in hIAPP aggregation, which has not previously been explored. Though our findings suggest that N_loop plays an important role in the pathway of amyloid formation, other naturally occurring IAPP variants that contain this structural feature are incapable of forming amyloids. For example, hIAPP readily forms amyloid fibrils in vitro, whereas the rat variant (rIAPP), differing by six amino acids, does not. In addition to being highly soluble, rIAPP is an effective inhibitor of hIAPP fibril formation . Both of these properties have been attributed to rIAPP's three proline residues: A25P, S28P and S29P. Single proline mutants of hIAPP have also been shown to kinetically inhibit hIAPP fibril formation. Because of their intrinsic dihedral angle preferences, prolines are expected to affect conformational ensembles of intrinsically disordered proteins. The specific effect of proline substitutions on IAPP structure and dynamics has not yet been explored, as the detection of such properties is experimentally challenging due to the low molecular weight, fast reconfiguration times, and very low solubility of IAPP peptides. High-resolution techniques able to measure tertiary contact formations are needed to address this issue. We employ a nanosecond laser spectroscopy technique to measure end-to-end contact formation rates in IAPP mutants. We explore the proline substitutions in IAPP and quantify their effects in terms of intrinsic chain stiffness. We find that the three proline mutations found in rIAPP increase chain stiffness. Interestingly, we also find that residue R18 plays an important role in rIAPP's unique chain stiffness and, together with the proline residues, is a determinant for its non-amyloidogenic properties. We discuss the implications of our findings on the role of prolines in IDPs.
ContributorsCope, Stephanie M (Author) / Vaiana, Sara M (Thesis advisor) / Ghirlanda, Giovanna (Committee member) / Ros, Robert (Committee member) / Lindsay, Stuart M (Committee member) / Ozkan, Sefika B (Committee member) / Arizona State University (Publisher)
Created2013
Description
Acquisition of fluorescence via autocatalytic processes is unique to few proteins in the natural world. Fluorescent proteins (FPs) have been integral to live-cell imaging techniques for decades; however, mechanistic information is still emerging fifty years after the discovery of the original green fluorescent protein (GFP). Modification of the fluorescence properties of the proteins derived from GFP allows increased complexity of experiments and consequently, information content of the data acquired. The importance of arginine-96 in GFP has been widely discussed. It has been established as vital to the kinetics of chromophore maturation and to the overall fold of GFP before post-translational self-modification. Its value during chromophore maturation has been demonstrated by mutational studies and a hypothesis proposed for its catalytic function. A strategy is described herein to determine its pKa value via NMR to determine whether Arg96 possesses the chemical capacity to function as a general base during GFP chromophore biosynthesis. Förster resonance energy transfer (FRET) techniques commonly employ Enhanced Cyan Fluorescent Proteins (ECFPs) and their derivatives as donor fluorophores useful in real-time, live-cell imaging. These proteins have a tryptophan-derived chromophore that emits light in the blue region of the visible spectrum. Most ECFPs suffer from fluorescence instability, which, coupled with their low quantum yield, makes data analysis unreliable. The structural heterogeneity of these proteins also results in undesirable photophysical characteristics. Recently, mCerulean3, a ten amino acid mutant of ECFP, was introduced as an optimized FRET-donor protein (1). The amino acids changed include a mobile residue, Asp148, which has been mutated to a glycine in the new construct, and Thr65 near the chromophore has been mutated to a serine, the wild-type residue at this location. I have solved the x-ray crystal structure of mCerulean3 at low pH and find that the pH-dependent isomerization has been eliminated. The chromophore is in the trans-conformation previously observed in Cerulean at pH 8. The mutations that increase the quantum yield and improve fluorescence brightness result in a stable, bright donor fluorophore well-suited for use in quantitative microscopic imaging.
ContributorsWatkins, Jennifer L (Author) / Wachter, Rebekka M. (Thesis advisor) / Ghirlanda, Giovanna (Committee member) / Allen, James P. (Committee member) / Arizona State University (Publisher)
Created2012
Description
In eukaryotes, DNA is packed in a highly condensed and hierarchically organized structure called chromatin, in which DNA tightly wraps around the histone octamer consisting of one histone 3-histone 4 (H3-H4) tetramer and two histone 2A- histone 2B (H2A-H2B) dimers with 147 base pairs in an almost two left handed turns. Almost all DNA dependent cellular processes, such as DNA duplication, transcription, DNA repair and recombination, take place in the chromatin form. Based on the critical importance of appropriate chromatin condensation, this thesis focused on the folding behavior of the nucleosome array reconstituted using different templates with various controllable factors such as histone tail modification, linker DNA length, and DNA binding proteins. Firstly, the folding behaviors of wild type (WT) and nucleosome arrays reconstituted with acetylation on the histone H4 at lysine 16 (H4K16 (Ac)) were studied. In contrast to the sedimentation result, atomic force microscopy (AFM) measurements revealed no apparent difference in the compact nucleosome arrays between WT and H4K16 (Ac) and WT. Instead, an optimal loading of nucleosome along the template was found necessary for the Mg2+ induced nucleosome array compaction. This finding leads to the further study on the role of linker DNA in the nucleosome compaction. A method of constructing DNA templates with varied linker DNA lengths was developed, and uniformly and randomly spaced nucleosome arrays with average linker DNA lengths of 30 bp and 60 bp were constructed. After comprehensive analyses of the nucleosome arrays' structure in mica surface, the lengths of the linker DNA were found playing an important role in controlling the structural geometries of nucleosome arrays in both their extended and compact forms. In addition, higher concentration of the DNA binding domain of the telomere repeat factor 2 (TRF2) was found to stimulate the compaction of the telomeric nucleosome array. Finally, AFM was successfully applied to investigate the nucleosome positioning behaviors on the Mouse Mammary Tumor Virus (MMTV) promoter region, and two highly positioned region corresponded to nucleosome A and B were identified by this method.
ContributorsFu, Qiang (Author) / Lindsay, Stuart M (Thesis advisor) / Yan, Hao (Committee member) / Ghirlanda, Giovanna (Committee member) / Arizona State University (Publisher)
Created2010
Description
The human gastrin receptor (CCKBR or CCK2R) is a class A G protein-coupled receptor (GPCR) found throughout the central nervous system, stomach, and a variety of cancer cells. CCK2R is implicated in the regulation of biological processes, including anxiety, satiety, arousal, analgesia, psychosis, and cancer cell growth and proliferation. While CCK2R is an attractive drug target, few drugs have managed to effectively target the receptor, and none have been brought to market. Contributory to this is the lack of high-resolution crystal structure capable of elucidating the binding regions of CCK2R to streamlining drug screening. While GPCRs are not amenable to traditional structural analysis methodologies, the advent of lipidic cubic phase (LCP) crystallography and serial femtosecond crystallography (SFX) at X-ray free electron lasers (XFELs), has extended the applicability of X-ray crystallography to these integral membrane proteins. LCP-SFX depends on optimizing the protein of interest for extraction, purification, and crystallization. Here we report our findings regarding the optimization of CCK2R suggesting the synergistic relationship between N-terminal truncations and the insertion of a fusion protein along ICL3, in addition to a 30-residue truncation of the C-terminus. Samples were expressed in Sf9 insect cells using a Bac-to-Bac baculovirus expression system, extracted using n-Dodecyl-β-D-Maltoside detergent, and purified via TALON immobilized metal-ion affinity chromatography. The constructs were characterized via SDS-PAGE, Western blot, and size exclusion chromatography. These findings demonstrate the improvements to CCK2R’s crystallographic amenability upon these modifications, however significant improvements must be made prior to crystallization trials. Future work will involve screening C-terminal truncations, thermostabilizing point mutations, and co-crystallizing ligands. Ideally this investigation will serve as a model for future CCK2R structural analysis and contribute to a heightened interest in CCK2R as a therapeutic target.
ContributorsStevens, Alexander Wade (Author) / Liu, Wei (Thesis director) / Chiu, Po-Lin (Committee member) / Mills, Jeremy (Committee member) / School of Human Evolution & Social Change (Contributor) / School of Molecular Sciences (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The understanding of normal human physiology and disease pathogenesis shows great promise for progress with increasing ability to profile genomic loci and transcripts in single cells in situ. Using biorthogonal cleavable fluorescent oligonucleotides, a highly multiplexed single-cell in situ RNA and DNA analysis is reported. In this report, azide-based cleavable linker connects oligonucleotides to fluorophores to show nucleic acids through in situ hybridization. Post-imaging, the fluorophores are effectively cleaved off in half an hour without loss of RNA or DNA integrity. Through multiple cycles of hybridization, imaging, and cleavage this approach proves to quantify thousands of different RNA species or genomic loci because of single-molecule sensitivity in single cells in situ. Different nucleic acids can be imaged by shown by multi-color staining in each hybridization cycle, and that multiple hybridization cycles can be run on the same specimen. It is shown that in situ analysis of DNA, RNA and protein can be accomplished using both cleavable fluorescent antibodies and oligonucleotides. The highly multiplexed imaging platforms will have the potential for wide applications in both systems biology and biomedical research. Thus, proving to be cost effective and time effective.
ContributorsSamuel, Adam David (Author) / Guo, Jia (Thesis director) / Liu, Wei (Committee member) / Wang, Xu (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The ability to profile proteins allows us to gain a deeper understanding of organization, regulation, and function of different biological systems. Many technologies are currently being used in order to accurately perform the protein profiling. Some of these technologies include mass spectrometry, microarray based analysis, and fluorescence microscopy. Deeper analysis of these technologies have demonstrated limitations which have taken away from either the efficiency or the accuracy of the results. The objective of this project was to develop a technology in which highly multiplexed single cell in situ protein analysis can be completed in a comprehensive manner without the loss of the protein targets. This was accomplished in the span of 3 steps which is referred to as the immunofluorescence cycle. Antibodies with attached fluorophores with the help of novel azide-based cleavable linker are used to detect protein targets. Fluorescence imaging and data storage procedures are done on the targets and then the fluorophores are cleaved from the antibodies without the loss of the protein targets. Continuous cycles of the immunofluorescence procedure can help create a comprehensive and quantitative profile of the protein. The development of such a technique will not only help us understand biological systems such as solid tumor, brain tissues, and developing embryos. But it will also play a role in real-world applications such as signaling network analysis, molecular diagnosis and cellular targeted therapies.
ContributorsGupta, Aakriti (Author) / Guo, Jia (Thesis director) / Liang, Jianming (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Enzymes keep life nicely humming along by catalyzing important reactions at relevant timescales. Despite their immediate importance, how enzymes recognize and bind their substrate in a sea of cytosolic small molecules, carry out the reaction, and release their product in microseconds is still relatively opaque. Methods to elucidate enzyme substrate specificity indicate that the shape of the active site and the amino acid residues therein play a major role. However, lessons from Directed Evolution experiments reveal the importance of residues far from the active site in modulating substrate specificity. Enzymes are dynamic macromolecules composed of networks of interactions integrating the active site, where the chemistry occurs, to the rest of the protein. The objective of this work is to develop computational methods to modify enzyme ligand specificity, either through molding the active site to accommodate a novel ligand, or by identifying distal mutations that can allosterically alter specificity. To this end, two homologues in the β-lactamase family of enzymes, TEM-1, and an ancestrally reconstructed variant, GNCA, were studied to identify whether the modulation of position-specific distal-residue flexibility could modify ligand specificity. RosettaDesign was used to create TEM-1 variants with altered dynamic patterns. Experimental characterization of ten designed proteins indicated that mutations to residues surrounding rigid, highly coupled residues substantially affected both enzymatic activity and stability. In contrast, native-like activities and stabilities were maintained when flexible, uncoupled residues, were targeted. Five of the TEM-1 variants were crystallized to see if the changes in function observed were due to architectural changes to the active site. In a second project, a computational platform using RosettaDesign was developed to remodel the firefly luciferase active site to accommodate novel luciferins. This platform resulted in the development of five luciferin-luciferase pairs with red-shifted emission maxima, ready for multicomponent bioluminescent imaging applications in tissues. Although the projects from this work focus on two classes of proteins, they provide insight into the structure-function relationship of ligand specificity in enzymes and are broadly applicable to other systems.
ContributorsKolbaba Kartchner, Bethany (Author) / Mills, Jeremy H (Thesis advisor) / Ghirlanda, Giovanna (Committee member) / Van Horn, Wade D (Committee member) / Arizona State University (Publisher)
Created2023
Description
This work comprises a cumulative effort to provide analysis of proteins relevant to understanding and treating human disease. This dissertation focuses on two main protein complexes: the structure of the Chimp adenovirus Y25 capsid assembly, as used in the SARS-CoV-2 vaccine, Vaxzveria, and the Dbl family RhoGEF (guanosine exchange factor) Syx and its associated small G protein, RhoA. The course of research was influenced heavily by the onset of the Covid-19 pandemic and associated lockdown, which pushed anyone with the means to do meaningful research to shift priorities towards addressing the greatest public health crisis since the 1918 flu pandemic.
Analysis of the Syx-RhoA complex for the purposes of structurally guided drug design was initially the focus of heavy optimization efforts to overcome the numerous challenges associated with expression, purification, and handling of this protein. By analyzing E. Coli derived protein new important knowledge was gained about this protein’s biophysical characteristics which contribute to its behavior and may inform drug design efforts. Expression in SF9 insect cells resulted in promising conditions for production of homogeneous and monodispersed protein. Homology modeling and molecular dynamics simulation of this protein support hypotheses about its interactions with both RhoA as well as regions of the cytoplasmic leaflet of the cell membrane.
Structural characterization of ChAdOx1, the adenoviral vector used in the AstraZeneca Covid-19 vaccine, Vaxzveria resulted in the highest resolution adenovirus structure ever solved (3.07Å). Subsequent biochemical analysis and computational simulations of PF4 with the ChAdOx1 capsid reveal interactions with important implications for vaccine induced thrombocytic throbocytopenia syndrome, a disorder observed in approximately 0.000024% of patients who receive Vaxzveria.
ContributorsBoyd, Ryan J (Author) / Fromme, Petra (Thesis advisor) / Chiu, Po-Lin (Committee member) / Liu, Wei (Committee member) / Arizona State University (Publisher)
Created2021
Description
Natures hardworking machines, proteins, are dynamic beings. Comprehending the role of dynamics in mediating allosteric effects is paramount to unraveling the intricate mechanisms underlying protein function and devising effective protein design strategies. Thus, the essential objective of this thesis is to elucidate ways to use protein dynamics based tools integrated with evolution and docking techniques to investigate the effect of distal allosteric mutations on protein function and further rationally design proteins. To this end, I first employed molecular dynamics (MD) simulations, Dynamic Flexibility Index (DFI) and Dynamic Coupling Index (DCI) on PICK1 PDZ, Butyrylcholinesterase (BChE), and Dihydrofolate reductase (DHFR) to uncover how these proteins utilize allostery to tune activity. Moreover, a new classification technique (“Controller”/“Controlled”) based on asymmetry in dynamic coupling is developed and applied to DHFR to elucidate the effect of allosteric mutations on enzyme activity. Subsequently, an MD driven dynamics design approach is applied on TEM-1 β-lactamase to tailor its activity against β-lactam antibiotics. New variants were created, and using a novel analytical approach called "dynamic distance analysis" (DDA) the degree of dynamic similarity between these variants were quantified. The experimentally confirmed results of these studies showed that the implementation of MD driven dynamics design holds significant potential for generating variants that can effectively modulate activity and stability. Finally, I introduced an evolutionary guided molecular dynamics driven protein design approach, integrated co-evolution and dynamic coupling (ICDC), to identify distal residues that modulate binding site dynamics through allosteric mechanisms. After validating the accuracy of ICDC with a complete mutational data set of β-lactamase, I applied it to Cyanovirin-N (CV-N) to identify allosteric positions and mutations that can modulate binding affinity. To further investigate the impact of mutations on the identified allosteric sites, I subjected putative mutants to binding analysis using Adaptive BP-Dock. Experimental validation of the computational predictions demonstrated the efficacy of integrating MD, DFI, DCI, and evolution to guide protein design. Ultimately, the research presented in this thesis demonstrates the effectiveness of using evolutionary guided molecular dynamics driven design alongside protein dynamics based tools to examine the significance of allosteric interactions and their influence on protein function.
ContributorsKazan, Ismail Can (Author) / Ozkan, Sefika Banu (Thesis advisor) / Ghirlanda, Giovanna (Thesis advisor) / Mills, Jeremy (Committee member) / Beckstein, Oliver (Committee member) / Arizona State University (Publisher)
Created2023