Matching Items (19)
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- All Subjects: Biochemistry
- Creators: Stephanopoulos, Nicholas
Description
In October, 2009, participants of the Arizona Special Supplemental Nutrition Program for Women, Infants and Children (WIC) began receiving monthly Cash Value Vouchers (CVV) worth between six and 10 dollars towards the purchase of fresh fruits and vegetables. Data from the Arizona Department of Health Services (ADHS) showed CVV redemption rates in the first two years of the program were lower than the national average of 77% redemption. In response, the ADHS WIC Food List was expanded to also include canned and frozen fruits and vegetables. More recent data from ADHS suggest that redemption rates are improving, but variably exist among different WIC sub-populations. The purpose of this project was to identify themes related to the ease or difficulty of WIC CVV use amongst different categories of low-redeeming WIC participants. A total of 8 focus groups were conducted, four at a clinic in each of two Valley cities: Surprise and Mesa. Each of the four focus groups comprised one of four targeted WIC participant categories: pregnant, postpartum, breastfeeding, and children with participation ranging from 3-9 participants per group. Using the general inductive approach, recordings of the focus groups were transcribed, hand-coded and uploaded into qualitative analysis software resulting in four emergent themes including: interactions and shopping strategies, maximizing WIC value, redemption issues, and effect of rule change. Researchers identified twelve different subthemes related to the emergent theme of interactions and strategies to improve their experience, including economic considerations during redemption. Barriers related to interactions existed that made their purchase difficult, most notably anger from the cashier and other shoppers. However, participants made use of a number of strategies to facilitate WIC purchases or extract more value out of WIC benefits, such as pooling their CVV. Finally, it appears that the fruit and vegetable rule change was well received by those who were aware of the change. These data suggest a number of important avenues for future research, including verifying these themes are important within a larger, representative sample of Arizona WIC participants, and exploring strategies to minimize barriers identified by participants, such as use of electronic benefits transfer-style cards (EBT).
ContributorsBertmann, Farryl M. W (Author) / Wharton, Christopher (Christopher Mack), 1977- (Thesis advisor) / Ohri-Vachaspati, Punam (Committee member) / Johnston, Carol (Committee member) / Hampl, Jeffrey (Committee member) / Dixit-Joshi, Sujata (Committee member) / Barroso, Cristina (Committee member) / Arizona State University (Publisher)
Created2013
Description
DNA nanotechnology uses the reliability of Watson-Crick base pairing to program and generate two-dimensional and three-dimensional nanostructures using single-stranded DNA as the structural material. DNA nanostructures show great promise for the future of bioengineering, as there are a myriad of potential applications that utilize DNA’s chemical interactivity and ability to bind other macromolecules and metals. DNA origami is a method of constructing nanostructures, which consists of a long “scaffold” strand folded into a shape by shorter “staple” oligonucleotides. Due to the negative charge of DNA molecules, divalent cations, most commonly magnesium, are required for origami to form and maintain structural integrity. The experiments in this paper address the discrepancy between salt concentrations required for origami stability and the salt concentrations present in living systems. The stability of three structures, a two-dimensional triangle, a three-dimensional solid cuboid and a three-dimensional wireframe icosahedron were examined in buffer solutions containing various concentrations of salts. In these experiments, DNA origami structures remained intact in low-magnesium conditions that emulate living cells, supporting their potential for widespread biological application in the future.
ContributorsSeverson, Grant William (Author) / Stephanopoulos, Nicholas (Thesis director) / Mills, Jeremy (Committee member) / School of Molecular Sciences (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Extensive efforts have been made to develop efficient and low-cost methods for diagnostics to identify molecular biomarkers that are linked to a wide array of conditions, including cancer. A highly developed method includes utilizing the gene-editing enzyme CRISPR-Cas12a (Cpf1), which demonstrates double-stranded DNase activity with RuvC catalytic domain with high sensitivity and specificity. This DNase activity is RNA-guided and requires a T-rich PAM site on the target sequence for functional cleavage. There have been recent efforts to utilize this DNase activity of Cas12a by combining it with isothermal amplification and analysis by lateral strip tests. This project examined CRISPR-based early detection of microRNA biomarkers. MicroRNA are short RNA molecules that have large roles in post-transcriptional gene regulation. However, due the short length of microRNA and its single-stranded nature, it is challenging to use Cas12a for microRNA detection using existing methods. Thus, this project investigated the potential of two microRNA detection strategies for recognition by CRISPR-Cas12a. These methods were microRNA-splinted ligation with polymerase chain reaction (PCR) and MicroRNA-specific reverse transcriptase PCR (RT-PCR). Gel imaging demonstrated effective amplification of ligated DNA through microRNA-splinted ligation with PCR/RPA. In addition, lateral strips tests showed effective cleavage of the target sequences by Cas12a. However, RT-PCR method demonstrated low amplification by PCR and inefficient poly(A) elongation. This project paves the way for the detection of an extensive range of microRNA biomarkers that are linked to an array of diseases. Future directions include analysis and modifications of RT-PCR method to improve experimental results, extending these detection methods to a larger range of microRNA sequences, and eventually utilizing them for detection in human samples.
ContributorsStaren, Michael Steven (Author) / Green, Alexander (Thesis director) / Stephanopoulos, Nicholas (Committee member) / Diehnelt, Chris (Committee member) / School of Life Sciences (Contributor) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The main objective of this project is to create a hydrogel based material system to capture and release CCRF-CEM Leukemia cancer cells via chemo-mechanical modulation. This system is composed of an aptamer-functionalized hydrogel thin film at the bottom of a microfluidic channel, which changes its film thickness as the temperature of the fluid in the system changes. The functionalized hydrogel film has been created as the primary steps to creating the microfluidic device that could capture and release leukemia cells by turning the temperature of the fluid and length of exposure. Circulating tumor cells have recently become a highly studied area since they have become associated with the likelihood of patient survival. Further, circulating tumor cells can be used to determine changes in the genome of the cancer leading to targeted treatment. First, the aptamers were attached onto the hydrogel through an EDC/NHS reaction. The aptamers were verified to be attached onto the hydrogel through FTIR spectroscopy. The cell capture experiments were completed by exposing the hydrogel to a solution of leukemia cells for 10 minutes at room temperature. The cell release experiments were completed by exposing the hydrogel to a 40°C solution. Several capture and release experiments were completed to measure how many cells could be captured, how quickly, and how many cells captured were released. The aptamers were chemically attached to the hydrogel. 300 cells per square millimeter could be captured at a time in a 10 minute time period and released in a 5 minute period. Of the cells captured, 96% of them were alive once caught. 99% of cells caught were released once exposed to elevated temperature. The project opens the possibility to quickly and efficiently capture and release tumor cells using only changes in temperature. Further, most of the cells that were captured were alive and nearly all of those were released leading to high survival and capture efficiency.
ContributorsPaxton, Rebecca Joanne (Author) / Stephanopoulos, Nicholas (Thesis director) / He, Ximin (Committee member) / Gould, Ian (Committee member) / Materials Science and Engineering Program (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Membrane proteins act as sensors, gatekeepers and information carriers in the cell membranes. Functional engineering of these proteins is important for the development of molecular tools for biosensing, therapeutics and as components of artificial cells. However, using protein engineering to modify existing protein structures is challenging due to the limitations of structural changes and difficulty in folding polypeptides into defined protein structures. Recent studies have shown that nanoscale architectures created by DNA nanotechnology can be used to mimic various protein functions, including some membrane proteins. However, mimicking the highly sophisticated structural dynamics of membrane proteins by DNA nanostructures is still in its infancy, mainly due to lack of transmembrane DNA nanostructures that can mimic the dynamic behavior, ubiquitous to membrane proteins. Here, I demonstrate design of dynamic DNA nanostructures to mimic two important class of membrane proteins. First, I describe a DNA nanostructure that inserts through lipid membrane and dynamically reconfigures upon sensing a membrane-enclosed DNA or RNA target, thereby transducing biomolecular information across the lipid membrane similar to G-protein coupled receptors (GPCR’s). I use the non-destructive sensing property of our GPCR-mimetic nanodevice to sense cancer associated micro-RNA biomarkers inside exosomes without the need of RNA extraction and amplification. Second, I demonstrate a fully reversibly gated DNA nanopore that mimics the ligand mediated gating of ion channel proteins. The 20.4 X 20.4 nm-wide channel of the DNA nanopore allows timed delivery of folded proteins across synthetic and biological membranes. These studies represent early examples of dynamic DNA nanostructures in mimicking membrane protein functions. I envision that they will be used in synthetic biology to create artificial cells containing GPCR-like and ion channel-like receptors, in site-specific drug or vaccine delivery and highly sensitive biosensing applications.
ContributorsDey, Swarup (Author) / Yan, Hao (Thesis advisor) / Hariadi, Rizal F (Thesis advisor) / Liu, Yan (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2021
Description
In recent years, researchers have employed DNA and protein nanotechnology to develop nanomaterials for applications in the fields of regenerative medicine, gene therapeutic, and materials science. In the current state of research, developing a biomimetic approach to fabricate an extracellular matrix (ECM)-like material has faced key challenges. The difficulty arises due to achieving spatiotemporal complexity that rivals the native ECM. Attempts to replicate the ECM using hydrogels have been limited in their ability to recapitulate its structural and functional properties. Moreover, the biological activities of the ECM, such as cell adhesion, proliferation, and differentiation, are mediated by ECM proteins and their interactions with cells, making it difficult to reproduce these activities in vitro.Thus, the work presented in my dissertation represents efforts to develop DNA and protein-based materials that mimic the biological properties of the ECM. The research involves the design, synthesis, and characterization of nanomaterials that exhibit unique physical, chemical, and mechanical properties. Two specific aspects of the biomimetic system have been to include (1) a modular protein building block to change the bioactivity of the system and (2) to temporally control the self-assembly of the protein nanofiber using different coiled coil mechanisms. The protein nanofibers were characterized using atomic force microscopy, transmission electron microscopy, and super-resolution DNA Point Accumulation for Imaging in Nanoscale Topology. The domains chosen are the fibronectin domains, Fn-III10, Fn-III9-10, and Fn-III12-14, with bioactivity such as cell adhesion and growth factor binding.
To extend this approach, these cys-nanofibers have been embedded in a hyaluronic acid scaffold to enable bioactivity and fibrous morphologies. Nanofiber integration within the HA gel has been shown to promote tunable mechanical properties and architectures, in addition to promoting a temporal display of the protein nanofibers. The hydrogels were characterized using scanning electron microscopy, mechanical compression testing, and fluorescence microscopy. The findings in this dissertation highlight the promise of biomimetic DNA and protein nanomaterials as a versatile approach for developing next-generation materials with unprecedented properties and functions. These findings continue to push the boundaries of what is possible in nanotechnology, leading to new discoveries that will have a significant impact on society.
ContributorsBernal-Chanchavac, Julio (Author) / Stephanopoulos, Nicholas (Thesis advisor) / Jones, Anne (Committee member) / Mills, Jeremy (Committee member) / Arizona State University (Publisher)
Created2023
Description
Exoelectrogenic organisms transfer electrons from their quinone pool to extracellular acceptors over m-scale distances through appendages known as “biological nanowires”. These structures have been described as cytochrome-rich membrane extensions or pili. However, the components and mechanisms of this long-range electron transfer remain largely unknown. This dissertation describes supramolecular assembly of a tetraheme cytochrome into well-defined models of microbial nanowires and uses those structures to explore the mechanisms of ultra-long-range electron transfer. Chiral-induced-spin-selectivity through the cytochrome is also demonstrated. Nanowire extensions in Shewanella oneidensis have been hypothesized to transfer electrons via electron tunneling through proteinaceous structures that reinforce π-π stacking or through electron hopping via redox cofactors found along their lengths. To provide a model to evaluate the possibility of electron hopping along micron-scale distances, the first part of this dissertation describes the construction of a two-component, supramolecular nanostructure comprised of a small tetraheme cytochrome (STC) from Shewanella oneidensis fused to a peptide domain that self-assembles with a β-fibrillizing peptide. Structural and electrical characterization shows that the self-assembled protein fibers have dimensions relevant to understanding ultralong-range electron transfer and conduct electrons along their length via a cytochrome-mediated mechanism of electron transfer. The second part of this dissertations shows that a model three-component fiber construct based on charge complementary peptides and the redox protein can also be assembled. Structural and electrical characterization of the three-component structure also demonstrates desirable dimensions and electron conductivity along the length via a cytochrome-mediated mechanism.
In vivo, it has been hypothesized that cytochromes in the outer surface conduit are spin-selective. However, cytochromes in the periplasm of Shewanella oneidensis have not been shown to be spin selective, and the physiological impact of the chiral-induced-spin-selectivity (CISS) effect on microbial electron transport remains unclear. In the third part of this dissertation, investigations via spin polarization and a spin-dependent conduction study show that STC is spin selective, suggesting that spin selectivity may be an important factor in the electron transport efficiency of exoelectrogens.
In conclusion, this dissertation enables a better understanding of long-range electron transfer in bacterial nanowires and bioelectronic circuitry and offers suggestions for how to construct enhanced biosensors.
ContributorsNWACHUKWU, JUSTUS NMADUKA (Author) / Jones, Anne K. (Thesis advisor) / Mills, Jeremy (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2023
Description
The biological lipid bilayer on cells or the cell membrane is a surface teeming with activity. Several membrane proteins decorate the lipid bilayer to carry out various functionalities that help a cell interact with the environment, gather resources and communicate with other cells. This provides a repertoire of biological structures and processes that can be mimicked and manipulated. Since its inception in the late 20th century deoxyribonucleic acid (DNA) nanotechnology has been used to create nanoscale objects that can be used for such purposes. Using DNA as the building material provides the user with a programmable and functionalizable tool box to design and demonstrate these ideas. In this dissertation, I describe various DNA nanostructures that can insert or interact with lipid bilayers for cargo transport, diagnostics and therapeutics. First, I describe a reversibly gated DNA nanopore of 20.4nm x 20.4nm cross sectional width. Controlled transport of cargoes of various sizes across a lipid bilayer through a channel formed by the DNA nanopore was demonstrated. This demonstration paves the way for a class of nanopores that can be activated by different stimuli. The membrane insertion capability of the DNA nanopore is further utilized to design a nanopore sensor that can detect oligonucleotides of a specific s equence inside a lipid vesicle. The ease with which the sensor can be modified to i dentify different diagnostic markers for disease detection was shown by designing a sensor that can identify the non small cell lung cancer marker micro ribonucleic acid -21 (miRNA21). Finally, I demonstrate the therapeutic capabilities of DNA devices with a DNA tetrabody that can recruit natural killer cells (NK cells) to target cancer cells. The DNA tetrabody functionalized with cholesterol molecules and Her2 affibody inserts into NK cell membrane leading it to Her2 positive cancer cells. This shows that inthe presence of DNA tetrabody, the NK cell activation gets accelerated.
ContributorsAbraham, Leeza (Author) / Yan, Hao (Thesis advisor) / Liu, Uan (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2023
Description
Molecular recognition forms the basis of all protein interactions, and therefore is crucial for maintaining biological functions and pathways. It can be governed by many factors, but in case of proteins and peptides, the amino acids sequences of the interacting entities play a huge role. It is molecular recognition that helps a protein identify the correct sequences residues necessary for an interaction, among the vast number of possibilities from the combinatorial sequence space. Therefore, it is fundamental to study how the interacting amino acid sequences define the molecular interactions of proteins. In this work, sparsely sampled peptide sequences from the combinatorial sequence space were used to study the molecular recognition observed in proteins, especially monoclonal antibodies. A machine learning based approach was used to study the molecular recognition characteristics of 11 monoclonal antibodies, where a neural network (NN) was trained on data from protein binding experiments performed on high-throughput random-sequence peptide microarrays. The use of random-sequence microarrays allowed for the peptides to be sparsely sampled from sequence space. Post-training, a sequence vs. binding relationship was deduced by the NN, for each antibody. This in silico relationship was then extended to larger libraries of random peptides, as well as to the biologically relevant sequences (target antigens, and proteomes). The NN models performed well in predicting the pertinent interactions for 6 out of the 11 monoclonal antibodies, in all aspects. The interactions of the other five monoclonal antibodies could not be predicted well by the models, due to their poor recognition of the residues that were omitted from the array. Furthermore, NN predicted sequence vs. binding relationships for 3 other proteins were experimentally probed using surface plasmon resonance (SPR). This was done to explore the relationship between the observed and predicted binding to the arrays and the observed binding on different assay platforms. It was noted that there was a general motif dependent correlation between predicted and SPR-measured binding. This study also indicated that a combined reiterative approach using in silico and in vitro techniques is a powerful tool for optimizing the selectivity of the protein-binding peptides.
ContributorsBisarad, Pritha (Author) / Woodbury, Neal W (Thesis advisor) / Green, Alexander A (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2022
Description
Biopolymers perform the majority of essential functions necessary for life. From a small amount of components emerges considerable complexity in both structure and function. The separated timescales of dynamic processes and intricate intra- and inter-molecular interactions of these molecules necessitate the development and utilization of computational approaches for biopolymer study and nanotechnology applications. Biopolymer nanotechnology exploits the natural chemistry of biopolymers to perform novel functions at the nanoscale. Molecular dynamics is the numerical simulation of chemical entities according to the physical laws of motion and statistical mechanics. The number of atoms in biopolymers require coarse-grained methods to fully sample the dynamics of the system with reasonable resources. Accordingly, a coarse-grained molecular dynamics model for the characterization of hybrid nucleic acid-protein nanotechnology was developed. Proteins are represented as an anisotropic network model (ANM) which show good agreement with experimentally derived protein dynamics for a small computational cost. The model was subsequently applied to hybrid DNA-protein cages systems and exhibited excellent agreement with experimental results. Ongoing development efforts look to apply network models to oxDNA origami to create multiscale models for DNA origami. The network approximation will allow for detailed simulation of DNA origami association, of concern to DNA crystal and lattice formation. Identification and design of target-specific binders (aptamers) has received considerable attention on account of their diagnostic and therapeutic potential. Generated in selection cycles from extensive random libraries, biopolymer aptamers are of particular interest due to their potential non-immunogenic properties. Machine learning leverages the use of powerful statistical principles to train a model to transform an input into a desired output. Parameters of the model are iteratively adjusted according to the gradient of the cost function. An unsupervised and generative machine learning model was applied to Thrombin aptamer sequence data. From the model, sequence characteristics necessary for binding were identified and new aptamers capable of binding Thrombin were sampled and verified experimentally. Future work on the development and utilization of an unsupervised and interpretable machine learning model for unaligned sequence data is also discussed.
ContributorsProcyk, Jonah (Author) / Sulc, Petr (Thesis advisor) / Stephanopoulos, Nicholas (Thesis advisor) / Hariadi, Rizal (Committee member) / Heyden, Matthias (Committee member) / Arizona State University (Publisher)
Created2022