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- All Subjects: Biomedical Engineering
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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
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
Many therapeutics administered for some of the most devastating illnesses can be toxic and result in unwanted side effects. Recent developments have been made in an alternative treatment method, called gene therapy. Gene therapy has potential to rectify the genetic defects that cause a broad range of diseases. Many diseases, such as cancer, cystic fibrosis, and acquired immunodeficiency (AIDS) already have gene therapy protocols that are currently in clinical trials. Finding a non-toxic and efficient gene transfer method has been a challenge. Viral vectors are effective at transgene delivery however potential for insertion mutagenesis and activation of immune responses raises concern. For this reason, non-viral vectors have been investigated as a safer alternative to viral-mediated gene delivery. Non-viral vectors are also easy to prepare and scalable, but are limited by low transgene delivery efficacies and high cytotoxicity at effective therapeutic dosages. Thus, there is a need for a non-toxic non-viral vector with high transgene efficacies. In addition to the hurdles in finding a material for gene delivery, large-scale production of pharmaceutical grade DNA for gene therapy is needed. Current methods can be labor intensive, time consuming, and use toxic chemicals. For this reason, an efficient and safe method to collect DNA is needed. One material that is currently being explored is the hydrogel. Hydrogels are a useful subclass of biomaterials, with a wide variety of applications. This class of biomaterials can carry up to a thousand times their weight in water, and are biocompatible. At smaller dimensions, referred to as micro- and nanogels, they are very useful for many biomedical applications because of their size and ability to swell. Based on a previously synthesized hydrogel, and due to the advantages of smaller dimension in biomedical applications, we have synthesized aminoglycoside antibiotic based nanogels and microgels. Microgels and nanogels were synthesized following a ring opening polymerization of epoxide-containing crosslinkers and polyamine-containing monomers. The nanogels were screened for their cytocompatibilities and transfection efficacies, and were compared to polyethylenimine (PEI), a current standard for polymer-mediated transgene delivery. Nanogels demonstrated minimal to no toxicity to the cell line used in the study even at high concentrations. Due to the emerging need for large-scale production of DNA, microgels were evaluated for their binding capacity to plasmid DNA. Future work with the aminoglycoside antibiotic-based nanogels and microgels developed in this study will involve optimization of nanogels and microgels to facilitate in better transgene delivery and plasmid DNA binding, respectively.
ContributorsMallik, Amrita Amy (Author) / Rege, Kaushal (Thesis advisor) / Dai, Lennore (Committee member) / Nielsen, David (Committee member) / Arizona State University (Publisher)
Created2014
Description
The portability of genetic tools from one organism to another is a cornerstone of synthetic biology. The shared biological language of DNA-to-RNA-to-protein allows for expression of polypeptide chains in phylogenetically distant organisms with little modification. The tools and contexts are diverse, ranging from catalytic RNAs in cell-free systems to bacterial proteins expressed in human cell lines, yet they exhibit an organizing principle: that genes and proteins may be treated as modular units that can be moved from their native organism to a novel one. However, protein behavior is always unpredictable; drop-in functionality is not guaranteed.
My work characterizes how two different classes of tools behave in new contexts and explores methods to improve their functionality: 1. CRISPR/Cas9 in human cells and 2. quorum sensing networks in Escherichia coli.
1. The genome-editing tool CRISPR/Cas9 has facilitated easily targeted, effective, high throughput genome editing. However, Cas9 is a bacterially derived protein and its behavior in the complex microenvironment of the eukaryotic nucleus is not well understood. Using transgenic human cell lines, I found that gene-silencing heterochromatin impacts Cas9’s ability to bind and cut DNA in a site-specific manner and I investigated ways to improve CRISPR/Cas9 function in heterochromatin.
2. Bacteria use quorum sensing to monitor population density and regulate group behaviors such as virulence, motility, and biofilm formation. Homoserine lactone (HSL) quorum sensing networks are of particular interest to synthetic biologists because they can function as “wires” to connect multiple genetic circuits. However, only four of these networks have been widely implemented in engineered systems. I selected ten quorum sensing networks based on their HSL production profiles and confirmed their functionality in E. coli, significantly expanding the quorum sensing toolset available to synthetic biologists.
My work characterizes how two different classes of tools behave in new contexts and explores methods to improve their functionality: 1. CRISPR/Cas9 in human cells and 2. quorum sensing networks in Escherichia coli.
1. The genome-editing tool CRISPR/Cas9 has facilitated easily targeted, effective, high throughput genome editing. However, Cas9 is a bacterially derived protein and its behavior in the complex microenvironment of the eukaryotic nucleus is not well understood. Using transgenic human cell lines, I found that gene-silencing heterochromatin impacts Cas9’s ability to bind and cut DNA in a site-specific manner and I investigated ways to improve CRISPR/Cas9 function in heterochromatin.
2. Bacteria use quorum sensing to monitor population density and regulate group behaviors such as virulence, motility, and biofilm formation. Homoserine lactone (HSL) quorum sensing networks are of particular interest to synthetic biologists because they can function as “wires” to connect multiple genetic circuits. However, only four of these networks have been widely implemented in engineered systems. I selected ten quorum sensing networks based on their HSL production profiles and confirmed their functionality in E. coli, significantly expanding the quorum sensing toolset available to synthetic biologists.
ContributorsDaer, René (Author) / Haynes, Karmella (Thesis advisor) / Brafman, David (Committee member) / Nielsen, David (Committee member) / Kiani, Samira (Committee member) / Arizona State University (Publisher)
Created2017
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
Description
Chromatin is the dynamic structure of proteins and nucleic acids into which eukaryotic genomes are organized. For those looking to engineer mammalian genomes, chromatin is both an opportunity and an obstacle. While chromatin provides another tool with which to control gene expression, regional density can lead to variability in genome editing efficiency by CRISPR/Cas9 systems. Many groups have attempted to de-silence chromatin to regulate genes and enhance DNA's accessibility to nucleases, but inconsistent results leave outstanding questions. Here, I test different types of activators, to analyze changes in chromatin features that result for chromatin opening, and to identify the critical biochemical features that support artificially generated open, transcriptionally active chromatin.
I designed, built, and tested a panel of synthetic pioneer factors (SPiFs) to open condensed, repressive chromatin with the aims of 1) activating repressed transgenes in mammalian cells and 2) reversing the inhibitory effects of closed chromatin on Cas9-endonuclease activity. Pioneer factors are unique in their ability to bind DNA in closed chromatin. In order to repurpose this natural function, I designed SPiFs from a Gal4 DNA binding domain, which has inherent pioneer functionality, fused with chromatin-modifying peptides with distinct functions.
SPiFs with transcriptional activation as their primary mechanism were able to reverse this repression and induced a stably active state. My work also revealed the active site from proto-oncogene MYB as a novel transgene activator. To determine if MYB could be used generally to restore transgene expression, I fused it to a deactivated Cas9 and targeted a silenced transgene in native heterochromatin. The resulting activator was able to reverse silencing and can be chemically controlled with a small molecule drug.
Other SPiFs in my panel did not increase gene expression. However, pretreatment with several of these expression-neutral SPiFs increased Cas9-mediated editing in closed chromatin, suggesting a crucial difference between chromatin that is accessible and that which contains genes being actively transcribed. Understanding this distinction will be vital to the engineering of stable transgenic cell lines for product production and disease modeling, as well as therapeutic applications such as restoring epigenetic order to misregulated disease cells.
I designed, built, and tested a panel of synthetic pioneer factors (SPiFs) to open condensed, repressive chromatin with the aims of 1) activating repressed transgenes in mammalian cells and 2) reversing the inhibitory effects of closed chromatin on Cas9-endonuclease activity. Pioneer factors are unique in their ability to bind DNA in closed chromatin. In order to repurpose this natural function, I designed SPiFs from a Gal4 DNA binding domain, which has inherent pioneer functionality, fused with chromatin-modifying peptides with distinct functions.
SPiFs with transcriptional activation as their primary mechanism were able to reverse this repression and induced a stably active state. My work also revealed the active site from proto-oncogene MYB as a novel transgene activator. To determine if MYB could be used generally to restore transgene expression, I fused it to a deactivated Cas9 and targeted a silenced transgene in native heterochromatin. The resulting activator was able to reverse silencing and can be chemically controlled with a small molecule drug.
Other SPiFs in my panel did not increase gene expression. However, pretreatment with several of these expression-neutral SPiFs increased Cas9-mediated editing in closed chromatin, suggesting a crucial difference between chromatin that is accessible and that which contains genes being actively transcribed. Understanding this distinction will be vital to the engineering of stable transgenic cell lines for product production and disease modeling, as well as therapeutic applications such as restoring epigenetic order to misregulated disease cells.
ContributorsBarrett, Cassandra M (Author) / Haynes, Karmella A (Thesis advisor) / Rege, Kaushal (Committee member) / Mills, Jeremy (Committee member) / Kiani, Samira (Committee member) / Arizona State University (Publisher)
Created2019
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
Breast cancer is the second leading cause of disease related death in women, contributing over
40,000 fatalities annually. The severe impact of breast cancer can be attributed to a poor
understanding of the mechanisms underlying cancer metastasis. A primary aspect of cancer
metastasis includes the invasion and intravasation that results in cancer cells disseminating from
the primary tumor and colonizing distant organs. However, the integrated study of invasion and
intravasation has proven to be challenging due to the difficulties in establishing a combined tumor
and vascular microenvironments. Compared to traditional in vitro assays, microfluidic models
enable spatial organization of 3D cell-laden and/or acellular matrices to better mimic human
physiology. Thus, microfluidics can be leveraged to model complex steps of metastasis. The
fundamental aim of this thesis was to develop a three-dimensional microfluidic model to study the
mechanism through which breast cancer cells invade the surrounding stroma and intravasate into
outerlying blood vessels, with a primary focus on evaluating cancer cell motility and vascular
function in response to biochemical cues.
A novel concentric three-layer microfluidic device was developed, which allowed for
simultaneous observation of tumor formation, vascular network maturation, and cancer cell
invasion/intravasation. Initially, MDA-MB-231 disseminated from the primary tumor and invaded
the acellular collagen present in the adjacent second layer. The presence of an endothelial network
in the third layer of the device drastically increased cancer cell invasion. Furthermore, by day 6 of
culture, cancer cells could be visually observed intravasating into the vascular network.
Additionally, the effect of tumor cells on the formation of the surrounding microvascular network
within the vascular layer was evaluated. Results indicated that the presence of the tumor
significantly reduced vessel diameter and increased permeability, which correlates with prior in vivo
data. The novel three-layer platform mimicked the in vivo spatial organization of the tumor and its
surrounding vasculature, which enabled investigations of cell-cell interactions during cancer
invasion and intravasation. This approach will provide insight into the cascade of events leading up
to intravasation, which could provide a basis for developing more effective therapeutics.
40,000 fatalities annually. The severe impact of breast cancer can be attributed to a poor
understanding of the mechanisms underlying cancer metastasis. A primary aspect of cancer
metastasis includes the invasion and intravasation that results in cancer cells disseminating from
the primary tumor and colonizing distant organs. However, the integrated study of invasion and
intravasation has proven to be challenging due to the difficulties in establishing a combined tumor
and vascular microenvironments. Compared to traditional in vitro assays, microfluidic models
enable spatial organization of 3D cell-laden and/or acellular matrices to better mimic human
physiology. Thus, microfluidics can be leveraged to model complex steps of metastasis. The
fundamental aim of this thesis was to develop a three-dimensional microfluidic model to study the
mechanism through which breast cancer cells invade the surrounding stroma and intravasate into
outerlying blood vessels, with a primary focus on evaluating cancer cell motility and vascular
function in response to biochemical cues.
A novel concentric three-layer microfluidic device was developed, which allowed for
simultaneous observation of tumor formation, vascular network maturation, and cancer cell
invasion/intravasation. Initially, MDA-MB-231 disseminated from the primary tumor and invaded
the acellular collagen present in the adjacent second layer. The presence of an endothelial network
in the third layer of the device drastically increased cancer cell invasion. Furthermore, by day 6 of
culture, cancer cells could be visually observed intravasating into the vascular network.
Additionally, the effect of tumor cells on the formation of the surrounding microvascular network
within the vascular layer was evaluated. Results indicated that the presence of the tumor
significantly reduced vessel diameter and increased permeability, which correlates with prior in vivo
data. The novel three-layer platform mimicked the in vivo spatial organization of the tumor and its
surrounding vasculature, which enabled investigations of cell-cell interactions during cancer
invasion and intravasation. This approach will provide insight into the cascade of events leading up
to intravasation, which could provide a basis for developing more effective therapeutics.
ContributorsNagaraju, Supriya (Author) / Nikkhah, Mehdi (Thesis advisor) / Ebrahimkhani, Mohammad (Committee member) / Kiani, Samira (Committee member) / Arizona State University (Publisher)
Created2017
Description
The pathophysiology of Alzheimer’s disease (AD) remains difficult to precisely ascertain in part because animal models fail to fully recapitulate many aspects of the disease and postmortem studies do not allow for the study of the pathophysiology. In vitro models of AD generated with patient derived human induced pluripotent stem cells (hiPSCs) could provide new insight into disease mechanisms. Although many protocols exist to differentiate hiPSCs to neurons, standard practice relies on two-dimensional (2-D) systems, which do not accurately mimic the complexity and architecture of the in vivo brain microenvironment. This research aims to create three-dimensional (3-D) models of AD using hiPSCs, which would enhance the understanding of AD pathophysiology thereby, enabling the generation of effective therapeutics.
ContributorsLundeen, Rachel (Author) / Brafman, David (Thesis advisor) / Kiani, Samira (Committee member) / Ebrahimkhani, Mohammad (Committee member) / Arizona State University (Publisher)
Created2017
Description
A genetically engineered line of human induced pluripotent stem cells was used to study the effects of gene expression on cell fate. These cells were designed to activate expression of the gene GATA6 when exposed to the small molecule doxycycline. This gene was chosen because it plays an important role in the developmental biology stages of liver formation. Because of the way the cells were engineered, a given population would have a heterogeneous expression of GATA6 because each cell could have a different copy number of the exogenous gene. This variation allows for the differentiation of multiple cell types, and is used to grow liver organoids. The early liver organoid samples were studied via immunofluorescent staining, imaging, and quantitative image analysis. It was originally hypothesized that absolute gene expression was not the most important factor in determining cell fate, but relative gene expression was. This meant that the spatial location of the cells and their local environment were critical in determining cell fate. In other words, the level of GATA6 of a cell is important, but so is the level of GATA6 in the surrounding cells, or neighborhood, of that cell. This hypothesis was analyzed with the creation of various Neighborhood Impact Factor (NIF) methods. Multiple time points of growth were analyzed to study the temporal effect, in addition to the gene expression and NIF influence on a cell’s fate. Direct gene expression level showed correlation with certain cell fate markers. In addition to GATA6 expression levels, NIF results from early and late time point experiments show statistical significance with relatively small neighborhood radii. The NIF analysis was useful for examining the effect of neighboring cells and determining the size of the neighborhood – how far cells influence one another. While these systems are complex, the NIF analysis provides a way to look at gene expression and its influence in spatial context.
ContributorsCarter, Shaylina Rae (Author) / Ebrahimkhani, Mohammad R (Thesis advisor) / Kiani, Samira (Thesis advisor) / Nikkhah, Mehdi (Committee member) / Arizona State University (Publisher)
Created2017