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- Genre: Academic theses
- Creators: Arizona State University
Description
Photosynthesis is the primary source of energy for most living organisms. Light harvesting complexes (LHC) play a vital role in harvesting sunlight and passing it on to the protein complexes of the electron transfer chain which create the electrochemical potential across the membrane which drives ATP synthesis. phycobilisomes (PBS) are the most important LHCs in cyanobacteria. PBS is a complex of three light harvesting proteins: phycoerythrin (PE), phycocyanin (PC) and allophycocyanin (APC). This work has been done on a newly discovered cyanobacterium called Leptolyngbya Heron Island (L.HI). This study has three important goals: 1) Sequencing, assembly and annotation of the L.HI genome - Since this is a newly discovered cyanobacterium, its genome was not previously elucidated. Illumina sequencing, a type of next generation sequencing (NGS) technology was employed to sequence the genome. Unfortunately, the natural isolate contained other contaminating and potentially symbiotic bacterial populations. A novel bioinformatics strategy for separating DNA from contaminating bacterial populations from that of L.HI was devised which involves a combination of tetranucleotide frequency, %(G+C), BLAST analysis and gene annotation. 2) Structural elucidation of phycoerythrin - Phycoerythrin is the most important protein in the PBS assembly because it is one of the few light harvesting proteins which absorbs green light. The protein was crystallized and its structure solved to a resolution of 2Å. This protein contains two chemically distinct types of chromophores: phycourobilin and phycoerythrobilin. Energy transfer calculations indicate that there is unidirectional flow of energy from phycourobilin to phycoerythrobilin. Energy transfer time constants using Forster energy transfer theory have been found to be consistent with experimental data available in literature. 3) Effect of chromatic acclimation on photosystems - Chromatic acclimation is a phenomenon in which an organism modulates the ratio of PE/PC with change in light conditions. Our investigation in case of L.HI has revealed that the PE is expressed more in green light than PC in red light. This leads to unequal harvesting of light in these two states. Therefore, photosystem II expression is increased in red-light acclimatized cells coupled with an increase in number of PBS.
ContributorsPaul, Robin (Author) / Fromme, Petra (Thesis advisor) / Ros, Alexandra (Committee member) / Roberson, Robert (Committee member) / Arizona State University (Publisher)
Created2014
Description
Telomerase is a unique reverse transcriptase that has evolved specifically to extend the single stranded DNA at the 3' ends of chromosomes. To achieve this, telomerase uses a small section of its integral RNA subunit (TR) to reiteratively copy a short, canonically 6-nt, sequence repeatedly in a processive manner using a complex and currently poorly understood mechanism of template translocation to stop nucleotide addition, regenerate its template, and then synthesize a new repeat. In this study, several novel interactions between the telomerase protein and RNA components along with the DNA substrate are identified and characterized which come together to allow active telomerase repeat addition. First, this study shows that the sequence of the RNA/DNA duplex holds a unique, single nucleotide signal which pauses DNA synthesis at the end of the canonical template sequence. Further characterization of this sequence dependent pause signal reveals that the template sequence alone can produce telomerase products with the characteristic 6-nt pattern, but also works cooperatively with another RNA structural element for proper template boundary definition. Finally, mutational analysis is used on several regions of the protein and RNA components of telomerase to identify crucial determinates of telomerase assembly and processive repeat synthesis. Together, these results shed new light on how telomerase coordinates its complex catalytic cycle.
ContributorsBrown, Andrew F (Author) / Chen, Julian J. L. (Thesis advisor) / Jones, Anne (Committee member) / Ghirlanda, Giovanna (Committee member) / Arizona State University (Publisher)
Created2014
Description
DNA nanotechnology is one of the most flourishing interdisciplinary research fields. Through the features of programmability and predictability, DNA nanostructures can be designed to self-assemble into a variety of periodic or aperiodic patterns of different shapes and length scales, and more importantly, they can be used as scaffolds for organizing other nanoparticles, proteins and chemical groups. By leveraging these molecules, DNA nanostructures can be used to direct the organization of complex bio-inspired materials that may serve as smart drug delivery systems and in vitro or in vivo bio-molecular computing and diagnostic devices. In this dissertation I describe a systematic study of the thermodynamic properties of complex DNA nanostructures, including 2D and 3D DNA origami, in order to understand their assembly, stability and functionality and inform future design endeavors. It is conceivable that a more thorough understanding of DNA self-assembly can be used to guide the structural design process and optimize the conditions for assembly, manipulation, and functionalization, thus benefiting both upstream design and downstream applications. As a biocompatible nanoscale motif, the successful integration, stabilization and separation of DNA nanostructures from cells/cell lysate suggests its potential to serve as a diagnostic platform at the cellular level. Here, DNA origami was used to capture and identify multiple T cell receptor mRNA species from single cells within a mixed cell population. This demonstrates the potential of DNA nanostructure as an ideal nano scale tool for biological applications.
ContributorsWei, Xixi (Author) / Liu, Yan (Thesis advisor) / Yan, Hao (Thesis advisor) / Chen, Julian (Committee member) / Gould, Ian (Committee member) / Arizona State University (Publisher)
Created2014
Description
Membrane proteins are a vital part of cellular structure. They are directly involved in many important cellular functions, such as uptake, signaling, respiration, and photosynthesis, among others. Despite their importance, however, less than 500 unique membrane protein structures have been determined to date. This is due to several difficulties with macromolecular crystallography, primarily the difficulty of growing large, well-ordered protein crystals. Since the first proof of concept for femtosecond nanocrystallography showing that diffraction patterns can be collected on extremely small crystals, thus negating the need to grow larger crystals, there have been many exciting advancements in the field. The technique has been proven to show high spatial resolution, thus making it a viable method for structural biology. However, due to the ultrafast nature of the technique, which allows for a lack of radiation damage in imaging, even more interesting experiments are possible, and the first temporal and spatial images of an undamaged structure could be acquired. This concept was denoted as time-resolved femtosecond nanocrystallography.
This dissertation presents on the first time-resolved data set of Photosystem II where structural changes can actually be seen without radiation damage. In order to accomplish this, new crystallization techniques had to be developed so that enough crystals could be made for the liquid jet to deliver a fully hydrated stream of crystals to the high-powered X-ray source. These changes are still in the preliminary stages due to the slightly lower resolution data obtained, but they are still a promising show of the power of this new technique. With further optimization of crystal growth methods and quality, injection technique, and continued development of data analysis software, it is only a matter of time before the ability to make movies of molecules in motion from X-ray diffraction snapshots in time exists. The work presented here is the first step in that process.
This dissertation presents on the first time-resolved data set of Photosystem II where structural changes can actually be seen without radiation damage. In order to accomplish this, new crystallization techniques had to be developed so that enough crystals could be made for the liquid jet to deliver a fully hydrated stream of crystals to the high-powered X-ray source. These changes are still in the preliminary stages due to the slightly lower resolution data obtained, but they are still a promising show of the power of this new technique. With further optimization of crystal growth methods and quality, injection technique, and continued development of data analysis software, it is only a matter of time before the ability to make movies of molecules in motion from X-ray diffraction snapshots in time exists. The work presented here is the first step in that process.
ContributorsKupitz, Christopher (Author) / Fromme, Petra (Thesis advisor) / Spence, John C. (Thesis advisor) / Redding, Kevin (Committee member) / Ros, Alexandra (Committee member) / Arizona State University (Publisher)
Created2014
Description
Protein affinity reagents have aptly gained profound importance as capture reagents and
drugs in basic research, biotechnology, diagnostics and therapeutics. However, due to the
cost, labor and time associated with production of antibodies focus has recently changed
towards potential of peptides to act as protein affinity reagents. Affinity peptides are easy
to work with, non-immunogenic, cost effective and amenable to scale up. Even though
researchers have developed several affinity peptides, we are far from compiling library of
peptides that encompasses entire human proteome. My thesis describes high throughput
pipeline that can be used to develop and characterize affinity peptides that bind several
discrete sites on target proteins.
Chapter 2 describes optimization of cell-free protein expression using commercially
available translation systems and well-known leader sequences. Presence of internal
ribosome entry site upstream of coding region allows maximal expression in HeLa cell
lysate whereas translation enhancing elements are best suited for expression in rabbit
reticulocyte lysate and wheat germ extract. Use of optimal vector and cell lysate
combination ensures maximum protein expression of DNA libraries.
Chapter 3 describes mRNA display selection methodology for developing affinity peptides
for target proteins using large diversity DNA libraries. I demonstrate that mild denaturant
is not sufficient to increase selection pressure for up to three rounds of selection and
increasing number of selection rounds increases probability of finding affinity peptide s.
These studies enhance fundamental understanding of mRNA display and pave the way
for future optimizations to accelerate convergence of in vitro selections.
Chapter 4 describes a high throughput double membrane dot blot system to rapidly
screen, identify and characterize affinity peptides obtained from selection output. I used
dot blot to screen potential affinity peptides from large diversity of previously
ii
uncharacterized mRNA display selection output. Further characterization of potential
peptides allowed determination of several high affinity peptides from having Kd range 150-
450 nM. Double membrane dot blot is automation amenable, easy and affordable solution
for analyzing selection output and characterizing peptides without ne ed for much
instrumentation.
Together these projects serve as guideline for evolution of cost effective high throughput
pipeline for identification and characterization of affinity peptides.
drugs in basic research, biotechnology, diagnostics and therapeutics. However, due to the
cost, labor and time associated with production of antibodies focus has recently changed
towards potential of peptides to act as protein affinity reagents. Affinity peptides are easy
to work with, non-immunogenic, cost effective and amenable to scale up. Even though
researchers have developed several affinity peptides, we are far from compiling library of
peptides that encompasses entire human proteome. My thesis describes high throughput
pipeline that can be used to develop and characterize affinity peptides that bind several
discrete sites on target proteins.
Chapter 2 describes optimization of cell-free protein expression using commercially
available translation systems and well-known leader sequences. Presence of internal
ribosome entry site upstream of coding region allows maximal expression in HeLa cell
lysate whereas translation enhancing elements are best suited for expression in rabbit
reticulocyte lysate and wheat germ extract. Use of optimal vector and cell lysate
combination ensures maximum protein expression of DNA libraries.
Chapter 3 describes mRNA display selection methodology for developing affinity peptides
for target proteins using large diversity DNA libraries. I demonstrate that mild denaturant
is not sufficient to increase selection pressure for up to three rounds of selection and
increasing number of selection rounds increases probability of finding affinity peptide s.
These studies enhance fundamental understanding of mRNA display and pave the way
for future optimizations to accelerate convergence of in vitro selections.
Chapter 4 describes a high throughput double membrane dot blot system to rapidly
screen, identify and characterize affinity peptides obtained from selection output. I used
dot blot to screen potential affinity peptides from large diversity of previously
ii
uncharacterized mRNA display selection output. Further characterization of potential
peptides allowed determination of several high affinity peptides from having Kd range 150-
450 nM. Double membrane dot blot is automation amenable, easy and affordable solution
for analyzing selection output and characterizing peptides without ne ed for much
instrumentation.
Together these projects serve as guideline for evolution of cost effective high throughput
pipeline for identification and characterization of affinity peptides.
ContributorsShah, Pankti (Author) / Chaput, John (Thesis advisor) / Hecht, Sidney (Committee member) / Wachter, Rebekka (Committee member) / Arizona State University (Publisher)
Created2014
Description
ABSTRACT
Post Translational Modifications (PTMs) are a series of chemical modifications with the capacity to expand the structural and functional repertoire of proteins. PTMs can regulate protein-protein interaction, localization, protein turn-over, the active state of the protein, and much more. This can dramatically affect cell processes as relevant as gene expression, cell-cell recognition, and cell signaling. Along these lines, this Ph.D. thesis examines the role of two of the most important PTMs: glycosylation and phosphorylation.
In chapters 2, 3 and 4, a 10,000 peptide microarray is used to analyze the glycan variations in a series lipopolysaccharides (LPS) from Gram negative bacteria. This research was the first to demonstrate that using a small subset of random sequence peptides, it was possible to identify a small subset with the capacity to bind to the LPS of bacteria. These peptides bound to LPS not only in the solid surface of the array but also in solution as demonstrated with surface plasmon resonance (SPR), isothermal titration calorimetry (ITC) and flow cytometry. Interestingly, some of the LPS binding peptides also exhibit antimicrobial activity, a property that is also analyzed in this work.
In chapters 5 and 6, the role of protein phosphorylation, another PTM, is analyzed in the context of human cancer. High risk neuroblastoma, a very aggressive pediatric cancer, was studied with emphasis on the phosphorylations of two selected oncoproteins: the transcription factor NMYC and the adaptor protein ShcC. Both proteins were isolated from high risk neuroblastoma cells, and a targeted-directed tandem mass spectrometry (LC-MS/MS) methodology was used to identify the phosphorylation sites in each protein. Using this method dramatically improved the phosphorylation site detection and increased the number of sites detected up to 250% in comparison with previous studies. Several of the novel identified sites were located in functional domain of the proteins and that some of them are homologous to known active sites in other proteins of the same family. The chapter concludes with a computational prediction of the kinases that potentially phosphorylate those sites and a series of assays to show this phosphorylation occurred in vitro.
Post Translational Modifications (PTMs) are a series of chemical modifications with the capacity to expand the structural and functional repertoire of proteins. PTMs can regulate protein-protein interaction, localization, protein turn-over, the active state of the protein, and much more. This can dramatically affect cell processes as relevant as gene expression, cell-cell recognition, and cell signaling. Along these lines, this Ph.D. thesis examines the role of two of the most important PTMs: glycosylation and phosphorylation.
In chapters 2, 3 and 4, a 10,000 peptide microarray is used to analyze the glycan variations in a series lipopolysaccharides (LPS) from Gram negative bacteria. This research was the first to demonstrate that using a small subset of random sequence peptides, it was possible to identify a small subset with the capacity to bind to the LPS of bacteria. These peptides bound to LPS not only in the solid surface of the array but also in solution as demonstrated with surface plasmon resonance (SPR), isothermal titration calorimetry (ITC) and flow cytometry. Interestingly, some of the LPS binding peptides also exhibit antimicrobial activity, a property that is also analyzed in this work.
In chapters 5 and 6, the role of protein phosphorylation, another PTM, is analyzed in the context of human cancer. High risk neuroblastoma, a very aggressive pediatric cancer, was studied with emphasis on the phosphorylations of two selected oncoproteins: the transcription factor NMYC and the adaptor protein ShcC. Both proteins were isolated from high risk neuroblastoma cells, and a targeted-directed tandem mass spectrometry (LC-MS/MS) methodology was used to identify the phosphorylation sites in each protein. Using this method dramatically improved the phosphorylation site detection and increased the number of sites detected up to 250% in comparison with previous studies. Several of the novel identified sites were located in functional domain of the proteins and that some of them are homologous to known active sites in other proteins of the same family. The chapter concludes with a computational prediction of the kinases that potentially phosphorylate those sites and a series of assays to show this phosphorylation occurred in vitro.
ContributorsMorales Betanzos, Carlos (Author) / LaBaer, Joshua (Thesis advisor) / Allen, James (Committee member) / Ghirlanda, Giovanna (Committee member) / Arizona State University (Publisher)
Created2014
Description
Protein-surface interactions, no matter structured or unstructured, are important in both biological and man-made systems. Unstructured interactions are more difficult to study with conventional techniques due to the lack of a specific binding structure. In this dissertation, a novel approach is employed to study the unstructured interactions between proteins and heterogonous surfaces, by looking at a large number of different binding partners at surfaces and using the binding information to understand the chemistry of binding. In this regard, surface-bound peptide arrays are used as a model for the study. Specifically, in Chapter 2, the effects of charge, hydrophobicity and length of surface-bound peptides on binding affinity for specific globular proteins (&beta-galactosidase and &alpha1-antitrypsin) and relative binding of different proteins were examined with LC Sciences peptide array platform. While the general charge and hydrophobicity of the peptides are certainly important, more surprising is that &beta-galactosidase affinity for the surface does not simply increase with the length of the peptide. Another interesting observation that leads to the next part of the study is that even very short surface-bound peptides can have both strong and selective interactions with proteins. Hence, in Chapter 3, selected tetrapeptide sequences with known binding characteristics to &beta-galactosidase are used as building blocks to create longer sequences to see if the binding function can be added together. The conclusion is that while adding two component sequences together can either greatly increase or decrease overall binding and specificity, the contribution to the binding affinity and specificity of the individual binding components is strongly dependent on their position in the peptide. Finally, in Chapter 4, another array platform is utilized to overcome the limitations associated with LC Sciences. It is found that effects of peptide sequence properties on IgG binding with HealthTell array are quiet similar to what was observed with &beta-galactosidase on LC Science array surface. In summary, the approach presented in this dissertation can provide binding information for both structured and unstructured interactions taking place at complex surfaces and has the potential to help develop surfaces covered with specific short peptide sequences with relatively specific protein interaction profiles.
ContributorsWang, Wei (Author) / Woodbury, Neal W (Thesis advisor) / Liu, Yan (Committee member) / Chaput, John (Committee member) / Arizona State University (Publisher)
Created2014
Description
Natural hydrogenases catalyze the reduction of protons to molecular hydrogen reversibly under mild conditions; these enzymes have an unusual active site architecture, in which a diiron site is connected to a cubane type [4Fe-4S] cluster. Due to the relevance of this reaction to energy production, and in particular to sustainable fuel production, there have been substantial amount of research focused on developing biomimetic organometallic models. However, most of these organometallic complexes cannot revisit the structural and functional fine-tuning provided by the protein matrix as seen in the natural enzyme. The goal of this thesis is to build a protein based functional mimic of [Fe-Fe] hydrogenases. I used a 'retrosynthetic' approach that separates out two functional aspects of the natural enzyme. First, I built an artificial electron transfer domain by engineering two [4Fe-4S] cluster binding sites into an existing protein, DSD, which is a de novo designed domain swapped dimer. The resulting protein, DSD-bis[4Fe-4S], contains two clusters at a distance of 36 Å . I then varied distance between two clusters using vertical translation along the axis of the coiled coil; the resulting protein demonstrates efficient electron transfer to/from redox sites. Second, I built simple, functional artificial hydrogenases by using an artificial amino acid comprising a 1,3 dithiol moiety to anchor a biomimetic [Fe-Fe] active site within the protein scaffold Correct incorporation of the cluster into a model helical peptide was verified by UV-Vis, FTIR, ESI-MS and CD spectroscopy. This synthetic strategy is extended to the de novo design of more complex protein architectures, four-helix bundles that host the di-iron cluster within the hydrophobic core. In a separate approach, I developed a generalizable strategy to introduce organometallic catalytic sites into a protein scaffold. I introduced a biomimetic organometallic complex for proton reduction by covalent conjugation to biotin. The streptavidin-bound complex is significantly more efficient in photocatalytic hydrogen production than the catalyst alone. With these artificial proteins, it will be possible to explore the effect of second sphere interactions on the activity of the diiron center, and to include in the design properties such as compatibility with conductive materials and electrodes.
ContributorsRoy, Anindya (Author) / Ghirlanda, Giovanna (Thesis advisor) / Yan, Hao (Committee member) / Gust, Devens (Committee member) / Arizona State University (Publisher)
Created2014
Description
Ribulose-1, 5-bisphosphate carboxylase oxygenase, commonly known as RuBisCO, is an enzyme involved in carbon fixation in photosynthetic organisms. The enzyme is subject to a mechanism-based deactivation during its catalytic cycle. RuBisCO activase (Rca), an ancillary enzyme belonging to the AAA+ family of the ATP-ases, rescues RuBisCO by facilitating the removal of the tightly bound sugar phosphates from the active sites of RuBisCO. In this work, we investigated the ATP/ADP dependent oligomerization equilibrium of fluorescently tagged Rca for a wide range of concentrations using fluorescence correlation spectroscopy. Results show that in the presence of ADP-Mg2+, the oligomerization state of Rca gradually changes in steps of two subunits. The most probable association model supports the dissociation constants (K_d) of ∼4, 1, 1 μM for the monomer-dimer, dimer-tetramer, and tetramer-hexamer equlibria, respectively. Rca continues to assemble at higher concentrations which are indicative of the formation of aggregates. In the presence of ATP-Mg2+, a similar stepwise assembly is observed. However, at higher concentrations (30-75 µM), the average oligomeric size remains relatively unchanged around six subunits per oligomer. This is in sharp contrast with observations in ADP-Mg2+, where a marked decrease in the diffusion coefficient of Rca was observed, consistent with the formation of aggregates. The estimated K_d values obtained from the analysis of the FCS decays were similar for the first steps of the assembly process in both ADP-Mg2+ and ATP-Mg2+. However, the formation of the hexamer from the tetramer is much more favored in ATP-Mg2+, as evidenced from 20 fold lower K_d associated with this assembly step. This suggests that the formation of a hexameric ring in the presence of ATP-Mg2+. In addition to that, Rca aggregation is largely suppressed in the presence of ATP-Mg2+, as evidenced from the 1000 fold larger K_d value for the hexamer-24 mer association step. In essence, a fluorescence-based method was developed to monitor in vitro protein oligomerization and was successfully applied with Rca. The results provide a strong hint at the active oligomeric structure of Rca, and this information will hopefully help the ongoing research on the mechanistic enzymology of Rca.
ContributorsChakraborty, Manas (Author) / Levitus, Marcia (Thesis advisor) / Angell, Charles (Committee member) / Lindsay, Stuart (Committee member) / Arizona State University (Publisher)
Created2014
Description
Cyanovirin-N (CVN) is a cyanobacterial lectin with potent anti-HIV activity, mediated by binding to the N-linked oligosaccharide moiety of the envelope protein gp120. CVN offers a scaffold to develop multivalent carbohydrate-binding proteins with tunable specificities and affinities. I present here biophysical calculations completed on a monomeric-stabilized mutant of cyanovirin-N, P51G-m4-CVN, in which domain A binding activity is abolished by four mutations; with comparisons made to CVNmutDB, in which domain B binding activity is abolished. Using Monte Carlo calculations and docking simulations, mutations in CVNmutDB were considered singularly, and the mutations E41A/G and T57A were found to impact the affinity towards dimannose the greatest. 15N-labeled proteins were titrated with Manα(1-2)Manα, while following chemical shift perturbations in NMR spectra. The mutants, E41A/G and T57A, had a larger Kd than P51G-m4-CVN, matching the trends predicted by the calculations. We also observed that the N42A mutation affects the local fold of the binding pocket, thus removing all binding to dimannose. Characterization of the mutant N53S showed similar binding affinity to P51G-m4-CVN. Using biophysical calculations allows us to study future iterations of models to explore affinities and specificities. In order to further elucidate the role of multivalency, I report here a designed covalent dimer of CVN, Nested cyanovirin-N (Nested CVN), which has four binding sites. Nested CVN was found to have comparable binding affinity to gp120 and antiviral activity to wt CVN. These results demonstrate the ability to create a multivalent, covalent dimer that has comparable results to that of wt CVN.
WW domains are small modules consisting of 32-40 amino acids that recognize proline-rich peptides and are found in many signaling pathways. We use WW domain sequences to explore protein folding by simulations using Zipping and Assembly Method. We identified five crucial contacts that enabled us to predict the folding of WW domain sequences based on those contacts. We then designed a folded WW domain peptide from an unfolded WW domain sequence by introducing native contacts at those critical positions.
WW domains are small modules consisting of 32-40 amino acids that recognize proline-rich peptides and are found in many signaling pathways. We use WW domain sequences to explore protein folding by simulations using Zipping and Assembly Method. We identified five crucial contacts that enabled us to predict the folding of WW domain sequences based on those contacts. We then designed a folded WW domain peptide from an unfolded WW domain sequence by introducing native contacts at those critical positions.
ContributorsWoodrum, Brian William (Author) / Ghirlanda, Giovanna (Thesis advisor) / Redding, Kevin (Committee member) / Wang, Xu (Committee member) / Arizona State University (Publisher)
Created2014