Matching Items (19)
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- All Subjects: Synthetic Biology
- All Subjects: Biomedical Engineering
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Description
Synthetic biology is constantly evolving as new ideas are incorporated into this increasingly flexible field. It incorporates the engineering of life with standard genetic parts and methods; new organisms with new genomes; expansion of life to include new components, capabilities, and chemistries; and even completely synthetic organisms that mimic life while being composed of non-living matter. We have introduced a new paradigm of synthetic biology that melds the methods of in vitro evolution with the goals and philosophy of synthetic biology. The Family B proteins represent the first de novo evolved natively folded proteins to be developed with increasingly powerful tools of molecular evolution. These proteins are folded and functional, composed of the 20 canonical amino acids, and in many ways resemble natural proteins. However, their evolutionary history is quite different from natural proteins, as it did not involve a cellular environment. In this study, we examine the properties of DX, one of the Family B proteins that have been evolutionarily optimized for folding stability. Described in chapter 2 is an investigation into the primitive catalytic properties of DX, which seems to have evolved a serendipitous ATPase activity in addition to its selected ATP binding activity. In chapters 3 and 4 we express the DX gene in E. coli cells and observe massive changes in cell morphology, biochemistry, and life cycle. Exposure to DX activates several defense systems in E. coli, including filamentation, cytoplasmic segregation, and reversion to a viable but non-culturable state. We examined these phenotypes in detail and present a model that accounts for how DX causes such a rearrangement of the cell.
ContributorsStomel, Joshua (Author) / Chaput, John C (Thesis advisor) / Korch, Shaleen (Committee member) / Roberson, Robert (Committee member) / Ghirlanda, Gionvanna (Committee member) / Arizona State University (Publisher)
Created2011
Description
The principle of Darwinian evolution has been applied in the laboratory to nucleic acid molecules since 1990, and led to the emergence of in vitro evolution technique. The methodology of in vitro evolution surveys a large number of different molecules simultaneously for a pre-defined chemical property, and enrich for molecules with the particular property. DNA and RNA sequences with versatile functions have been identified by in vitro selection experiments, but many basic questions remain to be answered about how these molecules achieve their functions. This dissertation first focuses on addressing a fundamental question regarding the molecular recognition properties of in vitro selected DNA sequences, namely whether negatively charged DNA sequences can be evolved to bind alkaline proteins with high specificity. We showed that DNA binders could be made, through carefully designed stringent in vitro selection, to discriminate different alkaline proteins. The focus of this dissertation is then shifted to in vitro evolution of an artificial genetic polymer called threose nucleic acid (TNA). TNA has been considered a potential RNA progenitor during early evolution of life on Earth. However, further experimental evidence to support TNA as a primordial genetic material is lacking. In this dissertation we demonstrated the capacity of TNA to form stable tertiary structure with specific ligand binding property, which suggests a possible role of TNA as a pre-RNA genetic polymer. Additionally, we discussed the challenges in in vitro evolution for TNA enzymes and developed the necessary methodology for future TNA enzyme evolution.
ContributorsYu, Hanyang (Author) / Chaput, John C (Thesis advisor) / Chen, Julian (Committee member) / Yan, Hao (Committee member) / Arizona State University (Publisher)
Created2013
Description
Cancer is the second leading cause of death in the United States and novel methods of treating advanced malignancies are of high importance. Of these deaths, prostate cancer and breast cancer are the second most fatal carcinomas in men and women respectively, while pancreatic cancer is the fourth most fatal in both men and women. Developing new drugs for the treatment of cancer is both a slow and expensive process. It is estimated that it takes an average of 15 years and an expense of $800 million to bring a single new drug to the market. However, it is also estimated that nearly 40% of that cost could be avoided by finding alternative uses for drugs that have already been approved by the Food and Drug Administration (FDA). The research presented in this document describes the testing, identification, and mechanistic evaluation of novel methods for treating many human carcinomas using drugs previously approved by the FDA. A tissue culture plate-based screening of FDA approved drugs will identify compounds that can be used in combination with the protein TRAIL to induce apoptosis selectively in cancer cells. Identified leads will next be optimized using high-throughput microfluidic devices to determine the most effective treatment conditions. Finally, a rigorous mechanistic analysis will be conducted to understand how the FDA-approved drug mitoxantrone, sensitizes cancer cells to TRAIL-mediated apoptosis.
ContributorsTaylor, David (Author) / Rege, Kaushal (Thesis advisor) / Jayaraman, Arul (Committee member) / Nielsen, David (Committee member) / Kodibagkar, Vikram (Committee member) / Dai, Lenore (Committee member) / Arizona State University (Publisher)
Created2013
Description
Currently in synthetic biology only the Las, Lux, and Rhl quorum sensing pathways have been adapted for broad engineering use. Quorum sensing allows a means of cell to cell communication in which a designated sender cell produces quorum sensing molecules that modify gene expression of a designated receiver cell. While useful, these three quorum sensing pathways exhibit a nontrivial level of crosstalk, hindering robust engineering and leading to unexpected effects in a given design. To address the lack of orthogonality among these three quorum sensing pathways, previous scientists have attempted to perform directed evolution on components of the quorum sensing pathway. While a powerful tool, directed evolution is limited by the subspace that is defined by the protein. For this reason, we take an evolutionary biology approach to identify new orthogonal quorum sensing networks and test these networks for cross-talk with currently-used networks. By charting characteristics of acyl homoserine lactone (AHL) molecules used across quorum sensing pathways in nature, we have identified favorable candidate pathways likely to display orthogonality. These include Aub, Bja, Bra, Cer, Esa, Las, Lux, Rhl, Rpa, and Sin, which we have begun constructing and testing. Our synthetic circuits express GFP in response to a quorum sensing molecule, allowing quantitative measurement of orthogonality between pairs. By determining orthogonal quorum sensing pairs, we hope to identify and adapt novel quorum sensing pathways for robust use in higher-order genetic circuits.
ContributorsMuller, Ryan (Author) / Haynes, Karmella (Thesis director) / Wang, Xiao (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Life Sciences (Contributor)
Created2015-05
Description
One of the primary bottlenecks to chemical production in biological organisms is the toxicity of the chemical. Overexpression of efflux pumps has been shown to increase tolerance to aromatic compounds such as styrene and styrene oxide. Tight control of pump expression is necessary to maximize titers and prevent excessive strain on the cells. This study aimed to identify aromatic-sensitive native promoters and heterologous biosensors for construction of closed-loop control of efflux pump expression in E. coli. Using a promoter library constructed by Zaslaver et al., activation was measured through GFP output. Promoters were evaluated for their sensitivity to the addition of one of four aromatic compounds, their "leaking" of signal, and their induction threshold. Out of 43 targeted promoters, 4 promoters (cmr, mdtG, yahN, yajR) for styrene oxide, 2 promoters (mdtG, yahN) for styrene, 0 promoters for 2-phenylethanol, and 1 promoter for phenol (pheP) were identified as ideal control elements in aromatic bioproduction. In addition, a series of three biosensors (NahR, XylS, DmpR) known to be inducible by other aromatics were screened against styrene oxide, 2-phenylethanol, and phenol. The targeted application of these biosensors is aromatic-induced activation of linked efflux pumps. All three biosensors responded strongly in the presence of styrene oxide and 2-phenylethanol, with minor activation in the presence of phenol. Bioproduction of aromatics continues to gain traction in the biotechnology industry, and the continued discovery of aromatic-inducible elements will be essential to effective pathway control.
ContributorsXu, Jimmy (Author) / Nielsen, David (Thesis director) / Wang, Xuan (Committee member) / School of Life Sciences (Contributor) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Synthetic biology is an emerging engineering disciple, which designs and controls biological systems for creation of materials, biosensors, biocomputing, and much more. To better control and engineer these systems, modular genetic components which allow for highly specific and high dynamic range genetic regulation are necessary. Currently the field struggles to demonstrate reliable regulators which are programmable and specific, yet also allow for a high dynamic range of control. Inspired by the characteristics of the RNA toehold switch in E. coli, this project attempts utilize artificial introns and complementary trans-acting RNAs for gene regulation in a eukaryote host, S. cerevisiae. Following modification to an artificial intron, splicing control with RNA hairpins was demonstrated. Temperature shifts led to increased protein production likely due to increased splicing due to hairpin loosening. Progress is underway to demonstrate trans-acting RNA interaction to control splicing. With continued development, we hope to provide a programmable, specific, and effective means for translational gene regulation in S. cerevisae.
ContributorsDorr, Brandon Arthur (Author) / Wang, Xiao (Thesis director) / Green, Alexander (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
p-Coumaric acid is used in the food, pharmaceutical, and cosmetic industries due to its versatile properties. While prevalent in nature, harvesting the compound from natural sources is inefficient, requiring large quantities of producing crops and numerous extraction and purification steps. Thus, the large-scale production of the compound is both difficult and costly. This research aims to produce p-coumarate directly from renewable and sustainable glucose using a co-culture of Yeast and E. Coli. Methods used in this study include: designing optimal media for mixed-species microbial growth, genetically engineering both strains to build the production pathway with maximum yield, and analyzing the presence of p-Coumarate and its pathway intermediates using High Performance Liquid Chromatography (HPLC). To date, the results of this project include successful integration of C4H activity into the yeast strain BY4741 ∆FDC1, yielding a strain that completely consumed trans-cinnamate (initial concentration of 50 mg/L) and produced ~56 mg/L p-coumarate, a resting cell assay of the co-culture that produced 0.23 mM p-coumarate from an initial L-Phenylalanine concentration of 1.14 mM, and toxicity tests that confirmed the toxicity of trans-cinnamate to yeast for concentrations above ~50 mg/L. The hope for this project is to create a feasible method for producing p-Coumarate sustainably.
ContributorsJohnson, Kaleigh Lynnae (Author) / Nielsen, David (Thesis director) / Thompson, Brian (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The purpose behind this research was to identify unknown transport proteins involved in lactate export. Lactate bioproduction is an environmentally beneficial alternative to petroleum-based plastic production as it produces less toxic waste byproduct and can rely on microbial degradation of otherwise wasted biomass. Coupled with appropriate product refinement, industrial microbial producers can be genetically engineered to generate quantities of bioplastic approaching 400 million metric tons each year. However, this process is not entirely suitable for large investment, as the fermentative bottlenecks, including product export and homeostasis control, limit production metrics. Previous studies have based their efforts on enhancing cellular machinery, but there remain uncharacterized membrane proteins involved in product export yet to be determined. It has been seen that deletion of known lactate transporters in Escherichia coli resulted in a decrease in lactate production, unlike the expected inhibition of export. This indicates that there exist membrane proteins with the ability to export lactate which may have another similar substrate it primarily transports.To identify these proteins, I constructed a genomic library of all genes in an engineered lactate producing E. coli strain, with known transporter genes deleted, and systematically screened for potential lactate transporter proteins. Plasmids and their isolated proteins were compared utilizing anaerobic plating to identify genes through sanger sequencing. With this method, I identified two proteins, yiaN and ybhL-ybhM, which did not show any significant improvement in lactate production when tested. Attempts were made to improve library diversity, resulting in isopropyl-β-D-1-thiogalactopyranoside induction as a likely factor for increased expression of potential fermentation-associated proteins. A genomic library from Lactobacillus plantarum was constructed and screened for transport proteins which could improve lactate production. Results showed that isolated plasmids contained no notable inserts, indicating that the initial transformation limited diversity. Lastly, I compared the results from genomic screening with overexpression of target transporter genes by computational substrate similarity search. Induced expression of ttdT, citT and dcuA together significantly increased lactate export and thus production metrics as well as cell growth. These positive results indicate an effective means of determining substrate promiscuity in membrane proteins with similar organic acid transport capacity.
ContributorsLee-Kin, Jared (Author) / Wang, Xuan (Thesis advisor) / Nielsen, David (Committee member) / Varman, Arul (Committee member) / Arizona State University (Publisher)
Created2022
Description
Human papillomavirus (HPV) infection has a large burden on society. It is a causal agent of 99.7% of all cervical cancer cases. The prevalence of HPV infection worldwide is high, but the burden of HPV infections lies on less developed regions. Cervical cancer is not associated with immediate symptoms, screening methods are needed to detect HPV disease presence before lesions progress to cervical cancer. Protein biomarkers are a growing area of diagnostic medicine and facilitate the detection of disease at an early and treatable stage. Technologies for healthcare diagnostics often require laboratory space or expensive instrumentation, which are not feasible for point of care applications. In order for clinical diagnostics to advance in developing countries, low cost, rapid, portable, and easy to use point of care diagnostic tests are needed. The project adapts the Enzyme Linked Immunosorbent Assays (ELISA) and Nucleic Acid-Programmable Protein Array (NAPPA) to a proof of concept assay for use in magnetic bead based microfluidics. The biomarker used for analyte detection was E7, as a strong correlation has been found between presence of E7 antibodies and development of advanced cervical cancer. It is demonstrated that magnetic microfluidic assay design for rapid detection of antibodies is amenable to fluorescence detection in point of care settings. The data demonstrates that the microfluidic assay is rapid, low-cost, specific, and relevant to serology detection. The assay detects antibody responses to analytes with the point of care reader system and is realized in an on chip capacity. With the integration of anti-GST capture antibodies conjugated to the magnetic beads in the microfluidic system, many analytes can be detected without large changes to the existing assay structure, which gives the ability to adapt the system to analytes of interest rapidly.
ContributorsSnow, Kylie (Author) / Anderson, Karen (Thesis advisor) / Blain Christen, Jennifer (Committee member) / Lake, Douglas (Committee member) / Arizona State University (Publisher)
Created2022
Description
Synthetic biology is an emerging field which melds genetics, molecular biology, network theory, and mathematical systems to understand, build, and predict gene network behavior. As an engineering discipline, developing a mathematical understanding of the genetic circuits being studied is of fundamental importance. In this dissertation, mathematical concepts for understanding, predicting, and controlling gene transcriptional networks are presented and applied to two synthetic gene network contexts. First, this engineering approach is used to improve the function of the guide ribonucleic acid (gRNA)-targeted, dCas9-regulated transcriptional cascades through analysis and targeted modification of the RNA transcript. In so doing, a fluorescent guide RNA (fgRNA) is developed to more clearly observe gRNA dynamics and aid design. It is shown that through careful optimization, RNA Polymerase II (Pol II) driven gRNA transcripts can be strong enough to exhibit measurable cascading behavior, previously only shown in RNA Polymerase III (Pol III) circuits. Second, inherent gene expression noise is used to achieve precise fractional differentiation of a population. Mathematical methods are employed to predict and understand the observed behavior, and metrics for analyzing and quantifying similar differentiation kinetics are presented. Through careful mathematical analysis and simulation, coupled with experimental data, two methods for achieving ratio control are presented, with the optimal schema for any application being dependent on the noisiness of the system under study. Together, these studies push the boundaries of gene network control, with potential applications in stem cell differentiation, therapeutics, and bio-production.
ContributorsMenn, David J (Author) / Wang, Xiao (Thesis advisor) / Kiani, Samira (Committee member) / Haynes, Karmella (Committee member) / Nielsen, David (Committee member) / Marshall, Pamela (Committee member) / Arizona State University (Publisher)
Created2018