Matching Items (5)
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- All Subjects: Alzheimer's Disease
- All Subjects: Biophysics
Description
Alzheimer's disease (AD) is the most common type of dementia, affecting one in nine people age 65 and older. One of the most important neuropathological characteristics of Alzheimer's disease is the aggregation and deposition of the protein beta-amyloid. Beta-amyloid is produced by proteolytic processing of the Amyloid Precursor Protein (APP). Production of beta-amyloid from APP is increased when cells are subject to stress since both APP and beta-secretase are upregulated by stress. An increased beta-amyloid level promotes aggregation of beta-amyloid into toxic species which cause an increase in reactive oxygen species (ROS) and a decrease in cell viability. Therefore reducing beta-amyloid generation is a promising method to control cell damage following stress. The goal of this thesis was to test the effect of inhibiting beta-amyloid production inside stressed AD cell model. Hydrogen peroxide was used as stressing agent. Two treatments were used to inhibit beta-amyloid production, including iBSec1, an scFv designed to block beta-secretase site of APP, and DIA10D, a bispecific tandem scFv engineered to cleave alpha-secretase site of APP and block beta-secretase site of APP. iBSec1 treatment was added extracellularly while DIA10D was stably expressed inside cell using PSECTAG vector. Increase in reactive oxygen species and decrease in cell viability were observed after addition of hydrogen peroxide to AD cell model. The increase in stress induced toxicity caused by addition of hydrogen peroxide was dramatically decreased by simultaneously treating the cells with iBSec1 or DIA10D to block the increase in beta-amyloid levels resulting from the upregulation of APP and beta-secretase.
ContributorsSuryadi, Vicky (Author) / Sierks, Michael (Thesis advisor) / Nielsen, David (Committee member) / Dai, Lenore (Committee member) / Arizona State University (Publisher)
Created2014
Description
In our modern world the source of for many chemicals is to acquire and refine oil. This process is becoming an expensive to the environment and to human health. Alternative processes for acquiring the final product have been developed but still need work. One product that is valuable is butanol. The normal process for butanol production is very intensive but there is a method to produce butanol from bacteria. This process is better because it is more environmentally safe than using oil. One problem however is that when the bacteria produce too much butanol it reaches the toxicity limit and stops the production of butanol. In order to keep butanol from reaching the toxicity limit an adsorbent is used to remove the butanol without harming the bacteria. The adsorbent is a mesoporous carbon powder that allows the butanol to be adsorbed on it. This thesis explores different designs for a magnetic separation process to extract the carbon powder from the culture.
ContributorsChabra, Rohin (Author) / Nielsen, David (Thesis director) / Torres, Cesar (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor)
Created2015-05
Description
Alzheimer's disease (AD), which currently affects approximately 5.4 million Americans, is a type of dementia, which causes memory, cognitive, and behavioral problems. AD is among the top 10 leading causes of death in the United States, typically affecting people ages 65 and older. Beta-Amyloid (Aβ) is an Alzheimer's target protein, which starts as a single protein, but can misfold and bind to itself, forming larger chains and eventually fibrils and plaques of Aβ in the brain. Antibodies that bind to different regions and sizes of Aβ may prevent progression into a more toxic stage. The antibody worked with in this thesis, A4 scFv, binds to oligomeric Aβ. The objective of this antibody research is to optimize the production of functional antibodies, specifically A4, through modifications in the scFv growth process, in order to enhance the discovery of possible diagnostics and therapeutics for Alzheimer's disease. In order to produce functional A4 antibody, four complex sugars were tested in the E. Coli bacterial culture growth media that expresses the desired antibody. The sugars: sucrose, glucose, mannitol, and sorbitol were used in the growth process to improve the yield of functional antibody. Through the steps of growth, purification, and dialysis, the sugar sorbitol was found to provide the optimal results of ending functional antibody concentration. Once an ample amount of functional A4 scFv is produced, it can be used in assays as a biomarker for Alzheimer's disease.
ContributorsDolberg, Taylor Brianne (Author) / Sierks, Michael (Thesis director) / Nielsen, David (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor) / School of Sustainability (Contributor)
Created2014-05
Description
Synthetic gene networks have evolved from simple proof-of-concept circuits to
complex therapy-oriented networks over the past fifteen years. This advancement has
greatly facilitated expansion of the emerging field of synthetic biology. Multistability is a
mechanism that cells use to achieve a discrete number of mutually exclusive states in
response to environmental inputs. However, complex contextual connections of gene
regulatory networks in natural settings often impede the experimental establishment of
the function and dynamics of each specific gene network.
In this work, diverse synthetic gene networks are rationally designed and
constructed using well-characterized biological components to approach the cell fate
determination and state transition dynamics in multistable systems. Results show that
unimodality and bimodality and trimodality can be achieved through manipulation of the
signal and promoter crosstalk in quorum-sensing systems, which enables bacterial cells to
communicate with each other.
Moreover, a synthetic quadrastable circuit is also built and experimentally
demonstrated to have four stable steady states. Experiments, guided by mathematical
modeling predictions, reveal that sequential inductions generate distinct cell fates by
changing the landscape in sequence and hence navigating cells to different final states.
Circuit function depends on the specific protein expression levels in the circuit.
We then establish a protein expression predictor taking into account adjacent
transcriptional regions’ features through construction of ~120 synthetic gene circuits
(operons) in Escherichia coli. The predictor’s utility is further demonstrated in evaluating genes’ relative expression levels in construction of logic gates and tuning gene expressions and nonlinear dynamics of bistable gene networks.
These combined results illustrate applications of synthetic gene networks to
understand the cell fate determination and state transition dynamics in multistable
systems. A protein-expression predictor is also developed to evaluate and tune circuit
dynamics.
complex therapy-oriented networks over the past fifteen years. This advancement has
greatly facilitated expansion of the emerging field of synthetic biology. Multistability is a
mechanism that cells use to achieve a discrete number of mutually exclusive states in
response to environmental inputs. However, complex contextual connections of gene
regulatory networks in natural settings often impede the experimental establishment of
the function and dynamics of each specific gene network.
In this work, diverse synthetic gene networks are rationally designed and
constructed using well-characterized biological components to approach the cell fate
determination and state transition dynamics in multistable systems. Results show that
unimodality and bimodality and trimodality can be achieved through manipulation of the
signal and promoter crosstalk in quorum-sensing systems, which enables bacterial cells to
communicate with each other.
Moreover, a synthetic quadrastable circuit is also built and experimentally
demonstrated to have four stable steady states. Experiments, guided by mathematical
modeling predictions, reveal that sequential inductions generate distinct cell fates by
changing the landscape in sequence and hence navigating cells to different final states.
Circuit function depends on the specific protein expression levels in the circuit.
We then establish a protein expression predictor taking into account adjacent
transcriptional regions’ features through construction of ~120 synthetic gene circuits
(operons) in Escherichia coli. The predictor’s utility is further demonstrated in evaluating genes’ relative expression levels in construction of logic gates and tuning gene expressions and nonlinear dynamics of bistable gene networks.
These combined results illustrate applications of synthetic gene networks to
understand the cell fate determination and state transition dynamics in multistable
systems. A protein-expression predictor is also developed to evaluate and tune circuit
dynamics.
ContributorsWu, Fuqing (Author) / Wang, Xiao (Thesis advisor) / Haynes, Karmella (Committee member) / Marshall, Pamela (Committee member) / Nielsen, David (Committee member) / Brafman, David (Committee member) / Arizona State University (Publisher)
Created2017
Description
The world today needs novel solutions to address current challenges in areas spanning areas from sustainable manufacturing to healthcare, and biotechnology offers the potential to help address some of these issues. One tool that offers opportunities across multiple industries is the use of nonribosomal peptide synthases (NRPSs). These are modular biological factories with individualized subunits that function in concert to create novel peptides.One element at the heart of environmental health debates today is plastics. Biodegradable alternatives for petroleum-based plastics is a necessity. One NRPS, cyanophycin synthetase (CphA), can produce cyanophycin grana protein (CGP), a polymer composed of a poly-aspartic acid backbone with arginine side chains. The aspartic backbone has the potential to replace synthetic polyacrylate, although current production costs are prohibitive. In Chapter 2, a CphA variant from Tatumella morbirosei is characterized, that produces up to 3x more CGP than other known variants, and shows high iCGP specificity in both flask and bioreactor trials. Another CphA variant, this one from Acinetobacter baylyi, underwent rational protein design to create novel mutants. One, G217K, is 34% more productive than the wild type, while G163K produces a CGP with shorter chain lengths. The current structure refined from 4.4Å to 3.5Å.
Another exciting application of NRPSs is in healthcare. They can be used to generate novel peptides such as complex antibiotics. A recently discovered iterative polyketide synthase (IPTK), dubbed AlnB, produces an antibiotic called allenomycin. One of the modular subunits, a dehydratase named AlnB_DH, was crystallized to 2.45Å. Several mutations were created in multiple active site residues to help understand the functional mechanism of AlnB_DH. A preliminary holoenzyme AlnB structure at 3.8Å was generated although the large disorganized regions demonstrated an incomplete structure. It was found that chain length is the primary factor in driving dehydratase action within AlnB_DH, which helps lend understanding to this module.
ContributorsSwain, Kyle (Author) / Nannenga, Brent (Thesis advisor) / Nielsen, David (Committee member) / Mills, Jeremy (Committee member) / Seo, Eileen (Committee member) / Acharya, Abhinav (Committee member) / Arizona State University (Publisher)
Created2022