Matching Items (90)
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Description
The structure-function relation in Biology suggests that every biological molecule has evolved its structure to carry out a specific function. However, for many of these processes (such as those with catalytic activity) the structure of the biomolecule changes during the course of a reaction. Understanding the structure-function relation thus becomes

The structure-function relation in Biology suggests that every biological molecule has evolved its structure to carry out a specific function. However, for many of these processes (such as those with catalytic activity) the structure of the biomolecule changes during the course of a reaction. Understanding the structure-function relation thus becomes a question of understanding biomolecular dynamics that span a variety of timescales (from electronic rearrangements in the femtoseconds to side-chain alteration in the microseconds and more). This dissertation deals with the study of biomolecular dynamics in the ultrafast timescales (fs-ns) using electron and X-ray probes in both time and frequency domains.

It starts with establishing the limitations of traditional electron diffraction coupled with molecular replacement to study biomolecular structure and proceeds to suggest a pulsed electron source Hollow-Cone Transmission Electron Microscope as an alternative scheme to pursue ultrafast biomolecular imaging. In frequency domain, the use of Electron Energy Loss Spectroscopy as a tool to access ultrafast nuclear dynamics in the steady state, is detailed with the new monochromated NiON UltraSTEM and examples demonstrating this instrument’s capability are provided.

Ultrafast X-ray spectroscopy as a tool to elucidate biomolecular dynamics is presented in studying X-ray as a probe, with the study of the photolysis of Methylcobalamin using time-resolved laser pump – X-ray probe absorption spectroscopy. The analysis in comparison to prior literature as well as DFT based XAS simulations offer good agreement and understanding to the steady state spectra but are so far inadequate in explaining the time-resolved data. However, the trends in the absorption simulations for the transient intermediates show a strong anisotropic dependence on the axial ligation, which would define the direction for future studies on this material to achieve a solution.
ContributorsSubramanian, Ganesh (Author) / Spence, John (Thesis advisor) / Rez, Peter (Committee member) / Alford, Terry (Committee member) / Weierstall, Uwe (Committee member) / Kirian, Richard (Committee member) / Arizona State University (Publisher)
Created2016
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Description
Many Fic domain proteins, through catalyzing post translational modifications (PTM) of protein substrates, functionally contribute to bacterial pathogenesis and the regulation of bacterial growth. Furthermore, one form of Fic-mediated regulation is the Fic toxin-antitoxin system, whereby an antitoxin interacts with and inhibits the Fic toxin. This study sought to determine

Many Fic domain proteins, through catalyzing post translational modifications (PTM) of protein substrates, functionally contribute to bacterial pathogenesis and the regulation of bacterial growth. Furthermore, one form of Fic-mediated regulation is the Fic toxin-antitoxin system, whereby an antitoxin interacts with and inhibits the Fic toxin. This study sought to determine the functional importance of Mycobacterium tuberculosis Fic and its putative antitoxin protein, Rv3642c. Using M. tuberculosis H37Rv genetic deletion mutants, fic and Rv3642c were demonstrated to promote intracellular survival in human THP-1 macrophage-like cells. Unlike other Fic toxins, of Fic toxin-antitoxin systems, Fic did not inhibit bacterial growth in vitro in the absence of Rv3642c. Notably, Fic demonstrated in vitro AMPylation of a THP-1 cell extract protein as shown by immunodetection. Fic also exhibited auto-AMPylation activity. Interestingly, a mutation of the conserved histidine in the Fic domain motif, a residue previously shown to be critical for AMPylation, had no effect on Fic-mediated ATP hydrolysis or AMPylation activity. Rv3642c was demonstrated to form a complex with Fic when co-expressed in Escherichia coli, indicating a toxin-antitoxin interaction. Screening M. tuberculosis protein fractions and culture filtrate with α-Fic and α-Rv3642c rabbit antisera did not detect monomers of Fic or Rv3642c, thus the cellular localization of Fic and the Rv3642c-Fic complex remains unclear. The results of this study provide insight into the function of M. tuberculosis Fic, and suggest that Fic and Rv3642c are important for M. tuberculosis survival in the intracellular macrophage environment. Furthermore, these findings challenge the current dogma that Fic domain catalysis is dependent on the conserved histidine of the Fic motif.
ContributorsLaMarca, Ryan (Author) / Haydel, Shelley (Thesis advisor) / Lake, Douglas (Committee member) / Nickerson, Cheryl (Committee member) / Arizona State University (Publisher)
Created2017
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Description
This thesis introduces new techniques for clustering distributional data according to their geometric similarities. This work builds upon the optimal transportation (OT) problem that seeks global minimum cost for matching distributional data and leverages the connection between OT and power diagrams to solve different clustering problems. The OT formulation is

This thesis introduces new techniques for clustering distributional data according to their geometric similarities. This work builds upon the optimal transportation (OT) problem that seeks global minimum cost for matching distributional data and leverages the connection between OT and power diagrams to solve different clustering problems. The OT formulation is based on the variational principle to differentiate hard cluster assignments, which was missing in the literature. This thesis shows multiple techniques to regularize and generalize OT to cope with various tasks including clustering, aligning, and interpolating distributional data. It also discusses the connections of the new formulation to other OT and clustering formulations to better understand their gaps and the means to close them. Finally, this thesis demonstrates the advantages of the proposed OT techniques in solving machine learning problems and their downstream applications in computer graphics, computer vision, and image processing.
ContributorsMi, Liang (Author) / Wang, Yalin (Thesis advisor) / Chen, Kewei (Committee member) / Karam, Lina (Committee member) / Li, Baoxin (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2020
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Description
Serial femtosecond crystallography (SFX) uses diffraction patterns from crystals delivered in a serial fashion to an X-Ray Free Electron Laser (XFEL) for structure determination. Typically, each diffraction pattern is a snapshot from a different crystal. SFX limits the effect of radiation damage and enables the use of nano/micro crystals for

Serial femtosecond crystallography (SFX) uses diffraction patterns from crystals delivered in a serial fashion to an X-Ray Free Electron Laser (XFEL) for structure determination. Typically, each diffraction pattern is a snapshot from a different crystal. SFX limits the effect of radiation damage and enables the use of nano/micro crystals for structure determination. However, analysis of SFX data is challenging since each snapshot is processed individually.

Many photosystem II (PSII) dataset have been collected at XFELs, several of which are time-resolved (containing both dark and laser illuminated frames). Comparison of light and dark datasets requires understanding systematic errors that can be introduced during data analysis. This dissertation describes data analysis of PSII datasets with a focus on the effect of parameters on later results. The influence of the subset of data used in the analysis is also examined and several criteria are screened for their utility in creating better subsets of data. Subsets are compared with Bragg data analysis and continuous diffuse scattering data analysis.

A new tool, DatView aids in the creation of subsets and visualization of statistics. DatView was developed to improve the loading speed to visualize statistics of large SFX datasets and simplify the creation of subsets based on the statistics. It combines the functionality of several existing visualization tools into a single interface, improving the exploratory power of the tool. In addition, it has comparison features that allow a pattern-by-pattern analysis of the effect of processing parameters. \emph{DatView} improves the efficiency of SFX data analysis by reducing loading time and providing novel visualization tools.
ContributorsStander, Natasha (Author) / Fromme, Petra (Thesis advisor) / Zatsepin, Nadia (Thesis advisor) / Kirian, Richard (Committee member) / Liu, Wei (Committee member) / Arizona State University (Publisher)
Created2019
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Description
Understanding how microorganisms adapt and respond to the microgravity environment of spaceflight is important for the function and integrity of onboard life support systems, astronaut health and mission success. Microbial contamination of spacecraft Environmental Life Support Systems (ECLSS), including the potable water system, are well documented and have caused major

Understanding how microorganisms adapt and respond to the microgravity environment of spaceflight is important for the function and integrity of onboard life support systems, astronaut health and mission success. Microbial contamination of spacecraft Environmental Life Support Systems (ECLSS), including the potable water system, are well documented and have caused major disruption to spaceflight missions. The potable water system on the International Space Station (ISS) uses recycled wastewater purified by multiple processes so it is safe for astronaut consumption and personal hygiene. However, despite stringent antimicrobial treatments, multiple bacterial species and biofilms have been recovered from this potable water system. This finding raises concern for crew health risks, vehicle operations and ECLSS system integrity during exploration missions. These concerns are further heightened given that 1) potential pathogens have been isolated from the ISS potable water system, 2) the immune response of astronauts is blunted during spaceflight, 3) spaceflight induces unexpected alterations in microbial responses, including growth and biofilm formation, antimicrobial resistance, stress responses, and virulence, and 4) different microbial phenotypes are often observed between reductionistic pure cultures as compared to more complex multispecies co-cultures, the latter of which are more representative of natural environmental conditions. To advance the understanding of the impact of microgravity on microbial responses that could negatively impact spacecraft ECLSS systems and crew health, this study characterized a range of phenotypic profiles in both pure and co-cultures of bacterial isolates collected from the ISS potable water system between 2009 and 2014. Microbial responses profiled included population dynamics, resistance to silver, biofilm formation, and in vitro colonization of intestinal epithelial cells. Growth characteristics and antibiotic sensitivities for bacterial strains were evaluated to develop selective and/or differential media that allow for isolation of a pure culture from co-cultures, which was critical for the success of this study. Bacterial co-culture experiments were performed using dynamic Rotating Wall Vessel (RWV) bioreactors under spaceflight analogue (Low Shear Modeled Microgravity/LSMMG) and control conditions. These experiments indicated changes in fluid shear have minimal impact on strain recovery. The antimicrobial efficacy of silver on both sessile co-cultures, grown on 316L stainless steel coupons, and planktonic co-cultures showed that silver did not uniformly reduce the recovery of all strains; however, it had a stronger antimicrobial effect on biofilm cultures than planktonic cultures. The impact of silver on the ability of RWV cultured planktonic and biofilm bacterial co-cultures to colonize human intestinal epithelial cells showed that, those strains which were impacted by silver treatment, often increased adherence to the monolayer. Results from these studies provide insight into the dynamics of polymicrobial community interactions, biofilm formation and survival mechanisms of ISS potable water isolates, with potential application for future design of ECLSS systems for sustainable human space exploration.
ContributorsKing, Olivia G (Author) / Nickerson, Cheryl (Thesis advisor) / Barrila, Jennifer (Committee member) / Ott, C (Committee member) / Yang, Jiseon (Committee member) / Arizona State University (Publisher)
Created2019
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Description
This thesis focuses on serial crystallography studies with X-ray free electron lasers

(XFEL) with a special emphasis on data analysis to investigate important processes

in bioenergy conversion and medicinal applications.

First, the work on photosynthesis focuses on time-resolved femtosecond crystallography

studies of Photosystem II (PSII). The structural-dynamic studies of the water

splitting reaction centering on

This thesis focuses on serial crystallography studies with X-ray free electron lasers

(XFEL) with a special emphasis on data analysis to investigate important processes

in bioenergy conversion and medicinal applications.

First, the work on photosynthesis focuses on time-resolved femtosecond crystallography

studies of Photosystem II (PSII). The structural-dynamic studies of the water

splitting reaction centering on PSII is a current hot topic of interest in the field, the

goal of which is to capture snapshots of the structural changes during the Kok cycle.

This thesis presents results from time-resolved serial femtosecond (fs) crystallography

experiments (TR-SFX) where data sets are collected at room temperature from a

stream of crystals that intersect with the ultrashort femtosecond X-ray pulses at an

XFEL with the goal to obtain structural information from the transient state (S4)

state of the cycle where the O=O bond is formed, and oxygen is released. The most

current techniques available in SFX/TR-SFX to handle hundreds of millions of raw

diffraction patterns are discussed, including selection of the best diffraction patterns,

allowing for their indexing and further data processing. The results include two 4.0 Å

resolution structures of the ground S1 state and triple excited S4 transient state.

Second, this thesis reports on the first international XFEL user experiments in

South Korea at the Pohang Accelerator Laboratory (PAL-XFEL). The usability of this

new XFEL in a proof-of-principle experiment for the study of microcrystals of human

taspase1 (an important cancer target) by SFX has been tested. The descriptions of

experiments and discussions of specific data evaluation challenges of this project in

light of the taspase1 crystals’ high anisotropy, which limited the resolution to 4.5 Å,

are included in this report

In summary, this thesis examines current techniques that are available in the

SFX/TR-SFX domain to study crystal structures from microcrystals damage-free,

with the future potential of making movies of biological processes.
ContributorsKetawala, Gihan Kaushyal (Author) / Fromme, Petra (Thesis advisor) / Liu, Wei (Committee member) / Kirian, Richard (Committee member) / Arizona State University (Publisher)
Created2020
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Description
Gas Dynamic Virtual Nozzles (GDVN) produce microscopic flow-focused liquid jets and are widely used for sample delivery in serial femtosecond crystallography (SFX) and time-resolved solution scattering. Recently, 2-photon polymerization (2PP) made it possible to produce 3D-printed GDVNs with submicron printing resolution. Comparing with hand- fabricated nozzles, reproducibility, and less developing

Gas Dynamic Virtual Nozzles (GDVN) produce microscopic flow-focused liquid jets and are widely used for sample delivery in serial femtosecond crystallography (SFX) and time-resolved solution scattering. Recently, 2-photon polymerization (2PP) made it possible to produce 3D-printed GDVNs with submicron printing resolution. Comparing with hand- fabricated nozzles, reproducibility, and less developing effort, and similarity of the performance of different 3D printed nozzles are among the advantages of using 3D printing techniques to develop GDVN’s. Submicron printing resolution also makes it possible to easily improve GDVN performance by optimizing the design of nozzles. In this study, 3D printed nozzles were developed to achieve low liquid and gas flow rates and high liquid jet velocities. A double-pulsed nanosecond laser imaging system was used to perform Particle Tracking Velocimetry (PTV) in order to determine jet velocities and assess jet stability/reproducibility. The testing results of pure water jets focused with He sheath gas showed that some designs can easily achieve stable liquid jets with velocities of more than 80 m/s, with pure water flowing at 3 microliters/min, and helium sheath gas flowing at less than 5 mg/min respectively. A numerical simulation pipeline was also used to characterize the performance of different 3D printed GDVNs. The results highlight the potential of making reproducible GDVNs with minimum fabrication effort, that can meet the requirements of present and future SFX and time-resolved solution scattering research.
ContributorsNazari, Reza (Author) / Adrian, Ronald (Thesis advisor) / Kirian, Richard (Thesis advisor) / Herrmann, Marcus (Committee member) / Phelan, Patrick (Committee member) / Weierstall, Uwe (Committee member) / Arizona State University (Publisher)
Created2020
Description

We present results from experiments at the Linac Coherent Light Source (LCLS) demonstrating that serial femtosecond crystallography (SFX) can be performed to high resolution (~2.5 Å) using protein microcrystals deposited on an ultra-thin silicon nitride membrane and embedded in a preservation medium at room temperature. Data can be acquired at

We present results from experiments at the Linac Coherent Light Source (LCLS) demonstrating that serial femtosecond crystallography (SFX) can be performed to high resolution (~2.5 Å) using protein microcrystals deposited on an ultra-thin silicon nitride membrane and embedded in a preservation medium at room temperature. Data can be acquired at a high acquisition rate using x-ray free electron laser sources to overcome radiation damage, while sample consumption is dramatically reduced compared to flowing jet methods. We achieved a peak data acquisition rate of 10 Hz with a hit rate of ~38%, indicating that a complete data set could be acquired in about one 12-hour LCLS shift using the setup described here, or in even less time using hardware optimized for fixed target SFX. This demonstration opens the door to ultra low sample consumption SFX using the technique of diffraction-before-destruction on proteins that exist in only small quantities and/or do not produce the copious quantities of microcrystals required for flowing jet methods.

ContributorsHunter, Mark S. (Author) / Segelke, Brent (Author) / Messerschmidt, Marc (Author) / Williams, Garth J. (Author) / Zatsepin, Nadia (Author) / Barty, Anton (Author) / Benner, W. Henry (Author) / Carlson, David B. (Author) / Coleman, Matthew (Author) / Graf, Alexander (Author) / Hau-Riege, Stefan P. (Author) / Pardini, Tommaso (Author) / Seibert, M. Marvin (Author) / Evans, James (Author) / Boutet, Sebastien (Author) / Frank, Matthias (Author) / College of Liberal Arts and Sciences (Contributor)
Created2014-08-12
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Description

Mild Cognitive Impairment (MCI) is a transitional stage between normal aging and dementia and people with MCI are at high risk of progression to dementia. MCI is attracting increasing attention, as it offers an opportunity to target the disease process during an early symptomatic stage. Structural magnetic resonance imaging (MRI)

Mild Cognitive Impairment (MCI) is a transitional stage between normal aging and dementia and people with MCI are at high risk of progression to dementia. MCI is attracting increasing attention, as it offers an opportunity to target the disease process during an early symptomatic stage. Structural magnetic resonance imaging (MRI) measures have been the mainstay of Alzheimer's disease (AD) imaging research, however, ventricular morphometry analysis remains challenging because of its complicated topological structure. Here we describe a novel ventricular morphometry system based on the hyperbolic Ricci flow method and tensor-based morphometry (TBM) statistics. Unlike prior ventricular surface parameterization methods, hyperbolic conformal parameterization is angle-preserving and does not have any singularities. Our system generates a one-to-one diffeomorphic mapping between ventricular surfaces with consistent boundary matching conditions. The TBM statistics encode a great deal of surface deformation information that could be inaccessible or overlooked by other methods. We applied our system to the baseline MRI scans of a set of MCI subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI: 71 MCI converters vs. 62 MCI stable). Although the combined ventricular area and volume features did not differ between the two groups, our fine-grained surface analysis revealed significant differences in the ventricular regions close to the temporal lobe and posterior cingulate, structures that are affected early in AD. Significant correlations were also detected between ventricular morphometry, neuropsychological measures, and a previously described imaging index based on fluorodeoxyglucose positron emission tomography (FDG-PET) scans. This novel ventricular morphometry method may offer a new and more sensitive approach to study preclinical and early symptomatic stage AD.

ContributorsShi, Jie (Author) / Stonnington, Cynthia M. (Author) / Thompson, Paul M. (Author) / Chen, Kewei (Author) / Gutman, Boris (Author) / Reschke, Cole (Author) / Baxter, Leslie C. (Author) / Reiman, Eric M. (Author) / Caselli, Richard J. (Author) / Wang, Yalin (Author) / Ira A. Fulton Schools of Engineering (Contributor)
Created2015-01-01
Description

Photosynthesis, a process catalysed by plants, algae and cyanobacteria converts sunlight to energy thus sustaining all higher life on Earth. Two large membrane protein complexes, photosystem I and II (PSI and PSII), act in series to catalyse the light-driven reactions in photosynthesis. PSII catalyses the light-driven water splitting process, which

Photosynthesis, a process catalysed by plants, algae and cyanobacteria converts sunlight to energy thus sustaining all higher life on Earth. Two large membrane protein complexes, photosystem I and II (PSI and PSII), act in series to catalyse the light-driven reactions in photosynthesis. PSII catalyses the light-driven water splitting process, which maintains the Earth’s oxygenic atmosphere. In this process, the oxygen-evolving complex (OEC) of PSII cycles through five states, S0 to S4, in which four electrons are sequentially extracted from the OEC in four light-driven charge-separation events. Here we describe time resolved experiments on PSII nano/microcrystals from Thermosynechococcus elongatus performed with the recently developed technique of serial femtosecond crystallography. Structures have been determined from PSII in the dark S1 state and after double laser excitation (putative S3 state) at 5 and 5.5 Å resolution, respectively. The results provide evidence that PSII undergoes significant conformational changes at the electron acceptor side and at the Mn4CaO5 core of the OEC. These include an elongation of the metal cluster, accompanied by changes in the protein environment, which could allow for binding of the second substrate water molecule between the more distant protruding Mn (referred to as the ‘dangler’ Mn) and the Mn3CaOx cubane in the S2 to S3 transition, as predicted by spectroscopic and computational studies. This work shows the great potential for time-resolved serial femtosecond crystallography for investigation of catalytic processes in biomolecules.

ContributorsKupitz, Christopher (Author) / Basu, Shibom (Author) / Grotjohann, Ingo (Author) / Fromme, Raimund (Author) / Zatsepin, Nadia (Author) / Rendek, Kimberly (Author) / Hunter, Mark (Author) / Shoeman, Robert L. (Author) / White, Thomas A. (Author) / Wang, Dingjie (Author) / James, Daniel (Author) / Yang, Jay-How (Author) / Cobb, Danielle (Author) / Reeder, Brenda (Author) / Sierra, Raymond G. (Author) / Liu, Haiguang (Author) / Barty, Anton (Author) / Aquila, Andrew L. (Author) / Deponte, Daniel (Author) / Kirian, Richard (Author) / Bari, Sadia (Author) / Bergkamp, Jesse (Author) / Beyerlein, Kenneth R. (Author) / Bogan, Michael J. (Author) / Caleman, Carl (Author) / Chao, Tzu-Chiao (Author) / Conrad, Chelsie (Author) / Davis, Katherine M. (Author) / Department of Chemistry and Biochemistry (Contributor)
Created2014-09-11