Matching Items (27)
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- All Subjects: Cancer
- All Subjects: Synthetic Biology
- Creators: Harrington Bioengineering Program
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
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
Glioblastoma Multiforme (GBM) is an aggressive and deadly form of brain cancer with a median survival time of about a year with treatment. Due to the aggressive nature of these tumors and the tendency of gliomas to follow white matter tracks in the brain, each tumor mass has a unique growth pattern. Consequently it is difficult for neurosurgeons to anticipate where the tumor will spread in the brain, making treatment planning difficult. Archival patient data including MRI scans depicting the progress of tumors have been helpful in developing a model to predict Glioblastoma proliferation, but limited scans per patient make the tumor growth rate difficult to determine. Furthermore, patient treatment between scan points can significantly compound the challenge of accurately predicting the tumor growth. A partnership with Barrow Neurological Institute has allowed murine studies to be conducted in order to closely observe tumor growth and potentially improve the current model to more closely resemble intermittent stages of GBM growth without treatment effects.
ContributorsSnyder, Lena Haley (Author) / Kostelich, Eric (Thesis director) / Frakes, David (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
Breast and other solid tumors exhibit high and varying degrees of intra-tumor heterogeneity resulting in targeted therapy resistance and other challenges that make the management and treatment of these diseases rather difficult. Due to the presence of admixtures of non-neoplastic cells with polyclonal cell populations, it is difficult to define cancer genomes in patient samples. By isolating tumor cells from normal cells, and enriching distinct clonal populations, clinically relevant genomic aberrations that drive disease can be identified in patients in vivo. An in-depth analysis of clonal architecture and tumor heterogeneity was performed in a stage II chemoradiation-naïve breast cancer from a sixty-five year old patient. DAPI-based DNA content measurements and DNA content-based flow sorting was used to to isolate nuclei from distinct clonal populations of diploid and aneuploid tumor cells in surgical tumor samples. We combined DNA content-based flow cytometry and ploidy analysis with high-definition array comparative genomic hybridization (aCGH) and next-generation sequencing technologies to interrogate the genomes of multiple biopsies from the breast cancer. The detailed profiles of ploidy, copy number aberrations and mutations were used to recreate and map the lineages present within the tumor. The clonal analysis revealed driver events for tumor progression (a heterozygous germline BRCA2 mutation converted to homozygosity within the tumor by a copy number event and the constitutive activation of Notch and Akt signaling pathways. The highlighted approach has broad implications in the study of tumor heterogeneity by providing a unique ultra-high resolution of polyclonal tumors that can advance effective therapies and clinical management of patients with this disease.
ContributorsLaughlin, Brady Scott (Author) / Ankeny, Casey (Thesis director) / Barrett, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor) / School for the Science of Health Care Delivery (Contributor)
Created2015-05
Description
The purpose of this project was to examine the viability of protein biomarkers in pre-symptomatic detection of lung cancer. Regular screening has been shown to vastly improve patient survival outcome. Lung cancer currently has the highest occurrence and mortality of all cancers and so a means of screening would be highly beneficial. In this research, the biomarker neuron-specific enolase (Enolase-2, eno2), a marker of small-cell lung cancer, was detected at varying concentrations using electrochemical impedance spectroscopy in order to develop a mathematical model of predicting protein expression based on a measured impedance value at a determined optimum frequency. The extent of protein expression would indicate the possibility of the patient having small-cell lung cancer. The optimum frequency was found to be 459 Hz, and the mathematical model to determine eno2 concentration based on impedance was found to be y = 40.246x + 719.5 with an R2 value of 0.82237. These results suggest that this approach could provide an option for the development of small-cell lung cancer screening utilizing electrochemical technology.
ContributorsEvans, William Ian (Author) / LaBelle, Jeffrey (Thesis director) / Spano, Mark (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
Transgene expression in mammalian cells has been shown to meet resistance in the form of silencing due to chromatin buildup within the cell. Interactions of proteins with chromatin modulate gene expression profiles. Synthetic Polycomb transcription factor (PcTF) variants have the potential to reactivate these silence transgenes as shown in Haynes & Silver 2011. PcTF variants have been constructed via TypeIIS assembly to further investigate this ability to reactive transgenes. Expression in mammalian cells was confirmed via fluorescence microscopy and red fluorescent protein (RFP) expression in cell lysate. Examination of any variation in conferment of binding strength of homologous Polycomb chromodomains (PCDs) to its trimethylated lysine residue target on histone three (H3K27me3) was investigated using a thermal shift assay. Results indicate that PcTF may not be a suitable protein for surveying with SYPRO Orange, a dye that produces a detectable signal when exposed to the hydrophobic domains of the melting protein. A cell line with inducible silencing of a chemiluminescent protein was used to determine the effects PcTF variants had on gene reactivation. Results show down-regulation of the target reporter gene. We propose this may be due to PcTF not binding to its target; this would cause PcTF to deplete transcriptional machinery in the nucleus. Alternatively, the CMV promoter could be sequestering transcriptional machinery in its hyperactive transcription of PcTF leading to widespread down-regulation. Finally, the activation domain used may not be appropriate for this cell type. Future PcTF variants will address these hypotheses by including multiple Polycomb chromodomains (PCDs) to alter the binding dynamics of PcTF to its target, and by incorporating alternative promoters and activation domains.
ContributorsGardner, Cameron Lee (Author) / Haynes, Karmella (Thesis director) / Stabenfeldt, Sarah (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Harrington Bioengineering Program (Contributor)
Created2015-05
Description
A major challenge with tissue samples used for biopsies is the inability to monitor their molecular quality before diagnostic testing. When tissue is resected from a patient, the cells are removed from their blood supply and normal temperature-controlled environment, which causes significant biological stress. As a result, the molecular composition and integrity undergo significant change. Currently, there is no method to track the effects of these artefactual stresses on the sample tissue to determine any deviations from the actual patient physiology. Without a way to track these changes, pathologists have to blindly trust that the tissue samples they are given are of high quality and fit for molecular analysis; physicians use the analysis to make diagnoses and treatment plans based on the assumption that the samples are valid. A possible way to track the quality of the tissue is by measuring volatile organic compounds (VOCs) released from the samples. VOCs are carbon-based chemicals with high vapor pressure at room temperature. There are over 1,800 known VOCs within humans and a number of these exist in every tissue sample. They are individualized and often indicative of a person’s metabolic condition. For this reason, VOCs are often used for diagnostic purposes. Their usefulness in diagnostics, reflectiveness of a person’s metabolic state, and accessibility lends them to being beneficial for tracking degradation. We hypothesize that there is a relationship between the change in concentration of the volatile organic compounds of a sample, and the molecular quality of a sample. This relationship is what would indicate the accuracy of the tissue quality used for a biopsy in relation to the tissue within the body.
ContributorsSharma, Nandini (Co-author) / Fragoso, Claudia (Co-author) / Grenier, Tyler (Co-author) / Hanson, Abigail (Co-author) / Compton, Carolyn (Thesis director) / Tao, Nongjian (Committee member) / Moakley, George (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
YAP/TAZ is the key effector in the Hippo pathway, but it is also involved in many other regulatory pathways to control tissue and organ size. To better understand its regulation and effects in tumorigenesis and degeneration, a preliminary feedback network was created with the species YAP/TAZ, phosphorylated YAP/TAZ, LATS, miR-130a, VGLL4, and β-catenin. From this network a set of ordinary differential equations were written and analyzed for parameter effects. A model showing the healthy, tumorigenic, and degenerative states was created and preliminary parameter analysis identified the effects of parameter modifications on the overall levels of YAP/TAZ. Further analysis is required and connections with the underlying biology should continue to be pursued to better understand how parameter modifications could improve disease treatments.
ContributorsSussex, Erin Nicole (Author) / Tian, Xiaojun (Thesis director) / Wang, Xiao (Committee member) / School of International Letters and Cultures (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Stromal cells play an important role in facilitating disease progression of ductal carcinoma. Cancer associated fibroblasts (CAFs) are an important component of the extracellular matrix (ECM) which constitutes the microenvironment of breast tumor cells. They are known to participate in chemotherapeutic drug resistance by modulating various biochemical and biophysical factors that contribute to increased matrix stiffness and collagen I density of the tumor-adjacent stroma. To address these issues in terms of patient treatment, anti-cancer drug regimes have been assembled to incorporate both chemotherapeutic as well as anti-fibrotic drugs to both target tumor cells while also diminishing the elastic modulus of the microenvironment by targeting CAFs. The quantitative assessment of these drug regimes on tumor progression is missing in terms of CAFs role alone.
A high density 3D tumor model was utilized to recapitulate the tumor microenvironment of ductal carcinoma in vitro. The tumor model consisted of MDA-MB-231 tumors seeded within micromolded collagen wells, chemically immobilized upon a surface treated PDMS substrate. CAFs were seeded within the greater collagen structure from which the microwells were formed. The combinatorial effect of anti-fibrotic drug (Tranilast) and chemotherapy drug (Doxorubicin) were studied within 3D co culture conditions. Specifically, the combinatorial effects of the drugs on tumor cell viability, proliferation, and invasion were examined dynamically upon coculture with CAFs using the microengineered model.
The results of the study showed that the combinatorial effects of Tranilast and Doxorubicin significantly decreased the proliferative ability of tumor cells, in addition to significantly decreasing the ability of tumor cells to remain viable and invade their surrounding stroma, compared to control conditions.
A high density 3D tumor model was utilized to recapitulate the tumor microenvironment of ductal carcinoma in vitro. The tumor model consisted of MDA-MB-231 tumors seeded within micromolded collagen wells, chemically immobilized upon a surface treated PDMS substrate. CAFs were seeded within the greater collagen structure from which the microwells were formed. The combinatorial effect of anti-fibrotic drug (Tranilast) and chemotherapy drug (Doxorubicin) were studied within 3D co culture conditions. Specifically, the combinatorial effects of the drugs on tumor cell viability, proliferation, and invasion were examined dynamically upon coculture with CAFs using the microengineered model.
The results of the study showed that the combinatorial effects of Tranilast and Doxorubicin significantly decreased the proliferative ability of tumor cells, in addition to significantly decreasing the ability of tumor cells to remain viable and invade their surrounding stroma, compared to control conditions.
ContributorsSilva, Casey Rudolph (Author) / Nikkhah, Mehdi (Thesis director) / Saini, Harpinder (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Malignant Pleural Mesothelioma (MPM) is an aggressive deadly tumor that has few therapeutic options. Immunotherapies have shown great potential in alleviating MPM patient symptoms. Using patient data from the Cancer Genome Atlas (TCGA) we sought to identify mutations, regulators, and immune factors driving immune cell migration. We explored computational methods to define regulatory causal flows in order to make biological predictions. These predictions were verified by cross-referencing peer-reviewed articles. A disease-relevant inference model was developed to examine the chemokine IL-18’s effect on natural killer cell (NK cell) migration.
ContributorsWipper, Gabrielle Frances (Author) / Plaisier, Christopher (Thesis director) / Plaisier, Seema (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Cell fate is a complex and dynamic process with many genetic components. It has often been likened to “multistable” mathematical systems because of the numerous possible “stable” states, or cell types, that cells may end up in. Due to its complexity, understanding the process of cell fate and differentiation has proven challenging. A better understanding of cell differentiation has applications in regenerative stem cell therapies, disease pathologies, and gene regulatory networks.
A variety of different genes have been associated with cell fate. For example, the Nanog/Oct-4/Sox2 network forms the core interaction of a gene network that maintains stem cell pluripotency, and Oct-4 and Sox2 also play a role in the tissue types that stem cells eventually differentiate into. Using the CRISPR/cas9 based homology independent targeted integration (HITI) method developed by Suzuki et al., we can integrate fluorescent tags behind genes with reasonable efficiency via the non-homologous end joining (NHEJ) DNA repair pathway. With human embryonic kidney (HEK) 293T cells, which can be transfected with high efficiencies, we aim to create a three-parameter reporter cell line with fluorescent tags for three different genes related to cell fate. This cell line would provide several advantages for the study of cell fate, including the ability to quantitatively measure cell state, observe expression heterogeneity among a population of genetically identical cells, and easily monitor fluctuations in expression patterns.
The project is partially complete at this time. This report discusses progress thus far, as well as the challenges faced and the future steps for completing the reporter line.
A variety of different genes have been associated with cell fate. For example, the Nanog/Oct-4/Sox2 network forms the core interaction of a gene network that maintains stem cell pluripotency, and Oct-4 and Sox2 also play a role in the tissue types that stem cells eventually differentiate into. Using the CRISPR/cas9 based homology independent targeted integration (HITI) method developed by Suzuki et al., we can integrate fluorescent tags behind genes with reasonable efficiency via the non-homologous end joining (NHEJ) DNA repair pathway. With human embryonic kidney (HEK) 293T cells, which can be transfected with high efficiencies, we aim to create a three-parameter reporter cell line with fluorescent tags for three different genes related to cell fate. This cell line would provide several advantages for the study of cell fate, including the ability to quantitatively measure cell state, observe expression heterogeneity among a population of genetically identical cells, and easily monitor fluctuations in expression patterns.
The project is partially complete at this time. This report discusses progress thus far, as well as the challenges faced and the future steps for completing the reporter line.
ContributorsLoveday, Tristan Andre (Author) / Wang, Xiao (Thesis director) / Brafman, David (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05