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Full-Text Articles in Molecular Biology
Personalized Molecular Therapies For Advanced Non-Small Cell Lung Cancer: Overcoming Heterogeneity To Optimize Treatment Response And Clinical Outcomes, Zuan-Fu Lim
Graduate Theses, Dissertations, and Problem Reports
Lung cancer remains one of the deadliest cancers. Novel, paradigm shifting treatments including immunotherapy and targeted therapies have recently been developed to cull the deadly effects of lung cancer, but many challenges remain. There remains a significant unmet need to accurately predict and optimally select for patients who will respond to immune checkpoint inhibitors (ICI) treatment. In Chapter 2 of this dissertation, we investigated a novel live single cell cytokine profiling lab-on-chip platform, IsoLight, using peripheral CD4+ and CD8+ T-cells for ICI biomarker development. A total of 55,175 single T-lymphocytes were analyzed in this proof-of-concept study. We found that an …
The Role Of Srsf3 In Control Of Alternative Splicing Of Cpeb2 In Triple Negative Breast Cancer, Brian P. Griffin
The Role Of Srsf3 In Control Of Alternative Splicing Of Cpeb2 In Triple Negative Breast Cancer, Brian P. Griffin
Theses and Dissertations
In the presented study, we identified that SRSF3 controls the alternative splicing of CPEB2 and consequently promotes a metastatic phenotype in triple negative breast cancer (TNBC). TNBC causes thousands of deaths annually, frequently due to a lack of effective treatments and a high rate of metastasis in patients. Alternative splicing has been found to be dysregulated in numerous cancers, while splicing factors such as SRSF3 are variably expressed. In this study we performed a siRNA panel to screen potential splicing factors, then used specific siRNA to study the effect of its knockdown on cellular function. These results showed that SRSF3 …
Proteomic And Biochemical Studies Of Estrogen-Mediated Signaling And Novel Estrogen Receptor-Interacting Proteins In Breast Cancer Cells, Zhenqi Zhou
Graduate Theses and Dissertations
Estrogen plays essential roles in the growth, development, and homeostasis of a number of tissues, and can also be linked to the growth of breast cancer. The biological activities of estrogen are mediated by estrogen receptors (ERs) ERá and ERâ, and also orphan G-protein-coupled receptor 30 (GPR30). In order to identify novel proteins that are involved in ER-mediated actions of estrogen, we used mass spectrometry-based quantitative proteomic methods to systematically profile global protein expression in responses to E2 (17â-estradiol) stimulation in human breast cancer cell, and identify and characterize cellular novel proteins that are associated with ERs in breast cancer …
Functional Analysis Of Chromodomain Helicase Dna Binding Protein 2(Chd2) Mediated Genomic Stability, Sangeetha Rajagopalan
Functional Analysis Of Chromodomain Helicase Dna Binding Protein 2(Chd2) Mediated Genomic Stability, Sangeetha Rajagopalan
Doctoral Dissertations
Histone modifying enzymes and chromatin remodeling complexes play an important regulatory role in chromatin dynamics that dictate the interaction of regulatory factors involved in processes such as DNA replication, recombination, repair and transcription, with DNA template. The CHD (Chromodomain Helicase DNA Binding Protein) family of proteins is known to be involved in the regulation of gene expression, recombination and chromatin remodeling via their chromatin specific interactions and activities. Phenotypic analysis of the Chd2 mutant mouse model developed by our laboratory indicates that the Chd2 protein plays a critical role in tumor suppression as the heterozygous mutant mice develop spontaneous lymphomas. …
Prostate Cancer Biomarker Identification: A Comparative Study, Wenjuan Jiang
Prostate Cancer Biomarker Identification: A Comparative Study, Wenjuan Jiang
Computational Modeling & Simulation Engineering Theses & Dissertations
With the current development of proteomics techniques, the discovery of potential molecular biomarkers for early detection of prostate cancer has been greatly improved. In this thesis, we implemented five classifiers including the support vector machine (SVM), Bayesian Classifier, Decision Tree, Random Forest and the Multilayer perceptron (MLP) to test their effectiveness in prostate cancer biomarker identification using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) tissue imaging data. The classifiers were utilized to discriminate cancer mass spectra from normal ones for the data collected at the Eastern Virginia Medical School (EVMS). There are 94 7 spectra from normal tissues and 27 from …