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Articles 1 - 8 of 8
Full-Text Articles in Disease Modeling
Transport Barriers Influence The Activation Of Anti-Tumor Immunity: A Systems Biology Analysis, Mohammad R. Nikmaneshi, James W. Baish, Hengbo Zhou, Lance L. Munn
Transport Barriers Influence The Activation Of Anti-Tumor Immunity: A Systems Biology Analysis, Mohammad R. Nikmaneshi, James W. Baish, Hengbo Zhou, Lance L. Munn
Faculty Journal Articles
Effective anti-cancer immune responses require activation of one or more naïve T cells. If the correct naïve T cell encounters its cognate antigen presented by an antigen presenting cell, then the T cell can activate and proliferate. Here, mathematical modeling is used to explore the possibility that immune activation in lymph nodes is a rate-limiting step in anti-cancer immunity and can affect response rates to immune checkpoint therapy. The model provides a mechanistic framework for optimizing cancer immunotherapy and developing testable solutions to unleash anti-tumor immune responses for more patients with cancer. The results show that antigen production rate and …
Development Of A Computational Model To Investigate Pathways And The Effects Of Treatment In Fanconi Anemia, Sabrina Kellett
Development Of A Computational Model To Investigate Pathways And The Effects Of Treatment In Fanconi Anemia, Sabrina Kellett
Biological Sciences Undergraduate Honors Theses
Fanconi Anemia (FA) is a rare type of anemia that is not easily studied and can have very detrimental effects. This disease compromises the bone marrow, resulting in decreased hemopoiesis. Symptoms of FA also include abnormalities in the brain and spinal cord, incorrect formation of the kidneys, abnormal formation of the heart and lungs, and a dramatically increased risk of developing cancer. FA can be caused by various mutations in any of the 22 genes that encode for proteins involved in what is called the FA DNA repair pathway. In healthy individuals, this pathway specifically repairs interstrand cross-links (ICLs) recognized …
Cost-Benefit Analysis Of Increased Water Treatment Plant Service Goals On Reducing Water Quality Risk, Briton Polen, Kendra Sanner
Cost-Benefit Analysis Of Increased Water Treatment Plant Service Goals On Reducing Water Quality Risk, Briton Polen, Kendra Sanner
Williams Honors College, Honors Research Projects
To treat water to make it safe to drink, disinfection processes are used in water treatment plants. These disinfection processes produce disinfection byproducts (DBPs) through the reaction of organic matter and the disinfectant, such as chlorine. DBPs have been shown to pose a cancer risk to consumers. In this report, the focus is on two types of DBPs, trihalomethanes (THMs) and haloacetic acids (HAAs). The cancer risks associated with DBPs are analyzed through ingestion and inhalation pathways. Ingestion and inhalation consist of common water uses like drinking, cooking, or bathing. In addition to this, DBPs have been shown to increase …
Dox Inducible Idh2 R140q Expression In Stem Cells Results In Cell Death, Opposite Of Cancerous Overgrowth, Reuben Hogan
Dox Inducible Idh2 R140q Expression In Stem Cells Results In Cell Death, Opposite Of Cancerous Overgrowth, Reuben Hogan
Undergraduate Research Symposium Posters
Mutations in isocitrate dehydrogenase (IDH) 1 or 2 are found in about 23% of acute myeloid leukemia (AML) samples and about 90% of gliomas. Mutations result in neomorphic function of the IDH enzyme that yields the novel molecule 2-hydroxyglutarate (2HG) instead of alpha-ketoglutarate (aKG). 2HG is known to be associated with hypermethylation of DNA and histones, a phenotype seen in AML. Our lab intends to study the mechanism by which hypermethylation is achieved and how this mechanism relates to the onset of cancer. In this experiment, we utilized a line of H9 stem cells which we had developed. These cells …
Modeling The Adaptive Immune Response To Mutation-Generated Antigens, Rory J. Geyer
Modeling The Adaptive Immune Response To Mutation-Generated Antigens, Rory J. Geyer
University Scholar Projects
Somatic mutations may drive tumorigenesis or lead to new, immunogenic epitopes (neoantigens). The immune system is thought to represses neoplastic growths through the recognition of neoantigens presented only by tumor cells. To study mutations as well as the immune response to mutation-generated antigens, we have created a conditional knockin mouse line with a gene encoding, 5’ to 3’, yellow fluorescent protein (YFP), ovalbumin (which is processed to the immunologically recognizable peptide, SIINFEKL), and cyan fluorescent protein (CFP), or, YFP-ovalbumin-CFP. A frame shift mutation has been created at the 5’ end of the ovalbumin gene, hence YFP should always be expressed, …
Modeling The Adaptive Immune Response To Mutation-Generated Antigens, Rory J. Geyer
Modeling The Adaptive Immune Response To Mutation-Generated Antigens, Rory J. Geyer
Honors Scholar Theses
Somatic mutations may drive tumorigenesis or lead to new, immunogenic epitopes (neoantigens). The immune system is thought to represses neoplastic growths through the recognition of neoantigens presented only by tumor cells. To study mutations as well as the immune response to mutation-generated antigens, we have created a conditional knockin mouse line with a gene encoding, 5’ to 3’, yellow fluorescent protein (YFP), ovalbumin (which is processed to the immunologically recognizable peptide, SIINFEKL), and cyan fluorescent protein (CFP), or, YFP-ovalbumin-CFP. A frame shift mutation has been created at the 5’ end of the ovalbumin gene, hence YFP should always be expressed, …
Data Mining The Functional Characterizations Of Proteins To Predict Their Cancer-Relatedness, Peter Revesz, Christopher Assi
Data Mining The Functional Characterizations Of Proteins To Predict Their Cancer-Relatedness, Peter Revesz, Christopher Assi
School of Computing: Faculty Publications
This paper considers two types of protein data. First, data about protein function described in a number of ways, such as, GO terms and PFAM families. Second, data about whether individual proteins are experimentally associated with cancer by an anomalous elevation or lowering of their expressions within cancerous cells. We combine these two types of protein data and test whether the first type of data, that is, the functional descriptors, can predict the second type of data, that is, cancer-relatedness. By using data mining and machine learning, we derive a classifier algorithm that using only GO term and PFAM family …
Exploring The Unique Characteristics Of Cancer In Adolescents And Young Adults In Tennessee, Megan Quinn
Exploring The Unique Characteristics Of Cancer In Adolescents And Young Adults In Tennessee, Megan Quinn
Electronic Theses and Dissertations
Adolescents and Young Adults (AYAs) ages 15-39 years with cancer have received little attention in the medical and health fields, resulting in a lack of progress for this age group. Little is known about the unique biologic, epidemiologic, and psychosocial issues that play an integral role in the AYA cancer journey. The purposes of this study were to use the Tennessee Cancer Registry for all new cancer cases from 2004-2008 to determine 1) the main types of cancer that affect AYAs in TN, 2) the predictors of late-stage diagnosis of melanoma, and 3) the factors that predict a total thyroidectomy …