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Articles 1 - 30 of 72
Full-Text Articles in Cancer Biology
Data Curation And Integration For Cancer Cell Line Pharmacogenomics Analysis, Meric Kinali
Data Curation And Integration For Cancer Cell Line Pharmacogenomics Analysis, Meric Kinali
Graduate Masters Theses
Cancer cell lines are essential resources for connecting genomic and molecular features with drug response and identifying biomarkers. Therefore, large-scale cancer cell line resources have been growing, but this introduces challenges such as data standardization, consistent annotation, matching identifiers, cross-database integration, and a reproducible computational framework. CellMiner Cross Database (CellMinerCDB) integrates pharmacogenomic datasets from multiple resources and provides a standardized analysis of cell lines across datasets. This thesis examines cancer cell line cross-databases and their importance in pharmacogenomics, with a particular focus on CellMinerCDB. As part of this work, I developed an R package for the gCSI (Genentech Cell Line …
Understanding Epigenomic Landscapes In Cancer Progression And Immunotherapy Response, Jonathan Schulz
Understanding Epigenomic Landscapes In Cancer Progression And Immunotherapy Response, Jonathan Schulz
Dissertations and Theses (Open Access)
Nonmutational epigenomic reprogramming has emerged as a key hallmark of cancer that plays crucial roles in tumor evolution during its progression and response to therapy. However, the extent and nature of epigenomic reprogramming remains poorly understood. This dissertation examines how epigenetic regulation shapes cancer progression and response to immunotherapy. Working at the intersection of cancer biology and computational genomics, it develops analytical frameworks for characterizing chromatin structure and DNA methylation across diverse tumor contexts and uses these frameworks to address two complementary biological questions: how promoter-associated chromatin organization varies across cancer types, and how epigenetic perturbation modulates tumor immunogenicity in …
Immune Suppression And Epigenetic Reprogramming In Epithelial-Mesenchymal Transition, Hanxu Lu
Immune Suppression And Epigenetic Reprogramming In Epithelial-Mesenchymal Transition, Hanxu Lu
Dartmouth College Ph.D Dissertations
Epithelial-mesenchymal transition (EMT) is increasingly recognized as a dynamic spectrum of cellular programthat contributes to tumor progression, metastasis, and therapeutic resistance. Rather than existing as discrete epithelial or mesenchymal phenotypes, tumor cells undergo intermediate EMT states in which epithelial and mesenchymal features are partially and variably expressed. In this thesis, I studied EMT state heterogeneity through two complementary and integrated dimensions: tumor-immune interactions and the dynamic remodeling of epigenetic programs across the EMT spectrum. Using a clonal EMT model derived from the murine triple-negative 4T1 mammary carcinoma cell line, including epithelial, intermediate, and mesenchymal states that are stably maintained in …
The Role Of Tumor Microenvironment In Glioblastoma Multiforme(Gbm) Therapeutic Resistance, Kwesi E. Taylor
The Role Of Tumor Microenvironment In Glioblastoma Multiforme(Gbm) Therapeutic Resistance, Kwesi E. Taylor
Master's Theses or Doctor of Nursing Practice
Despite significant advances in cancer research and treatment, Glioblastoma multiforme (GBM) remains one of the most difficult cancers to treat effectively, with minimal improvement in long-term survival rates over the past few decades. This is largely attributed to tumor heterogeneity and the ability of tumor cells to develop adaptive resistance mechanisms supported by the tumor microenvironment (TME). Although the TME is recognized as a key contributor to tumor progression and therapeutic resistance, the underlying molecular pathways and regulatory genes remain incompletely understood. This study investigated the role of the tumor microenvironment in GBM therapeutic resistance using a bioinformatics approach. Single-cell …
Detection And Characterization Of Cancer Using Cfdna Fragmentomic Analysis, Guneet Bhogal
Detection And Characterization Of Cancer Using Cfdna Fragmentomic Analysis, Guneet Bhogal
Master's Projects
Cell-free DNA (cfDNA) fragmentomics has emerged as a promising non-invasive approach for detecting and characterizing cancer by analyzing DNA fragmentation patterns. These fragment patterns are unique and can be used to distinguish between tumor and healthy DNA. This paper uses machine learning models to detect cancer by evaluating Shannon entropy of fragment lengths at the first coding exon 1 regions and correlating them to targeted cancer genes. This approach was applied to two datasets consisting of samples with prostate, breast, and lung cancers. Our results indicated that exon 1 fragmentation entropy captures biologically relevant differences in cancer-specific chromatin organization and …
Integrating Bulk And Single-Cell Transcriptomics To Investigate Intratumor Heterogeneity, Shuai Guo
Integrating Bulk And Single-Cell Transcriptomics To Investigate Intratumor Heterogeneity, Shuai Guo
Dissertations and Theses (Open Access)
Cancers are heterogeneous mixtures of tumor and surrounding cells, where each component comprises multiple distinct sub-types and/or states. Understanding the cell-type-specific contributions is critical for advancing cancer biology, yet high-throughput expression profiles from tumor tissues only represent combined signals from all diverse cellular sources. Bulk deconvolution with single-cell/nucleus (sc/sn) RNA-seq data has emerged as a powerful approach to dissect both cellular composition and cell-type-specific expression patterns, yet the technological discrepancy across sequencing platforms limits accuracy.
To systematically evaluate the impact of platform discrepancies on bulk deconvolution, we first generated a benchmark dataset of 24 healthy retinas with paired bulk and …
Elucidating The Roles Of Eukaryotic Initiation Factors Involved In Dap5 Mediated Translation, Jacob Nk Quartey
Elucidating The Roles Of Eukaryotic Initiation Factors Involved In Dap5 Mediated Translation, Jacob Nk Quartey
Dissertations, Theses, and Capstone Projects
Translation initiation in eukaryotes is a highly regulated process essential for accurate protein synthesis. It is a dynamic process that involves a complex interplay between messenger RNAs (mRNAs), ribosomal subunits, and a host of initiation factors, ensuring precise start codon selection and the subsequent assembly of the translation machinery. This process has well been known to be mediated by the eukaryotic Initiation Factor (eIF4F), which consists of the cap binding protein eIF4E, the scaffolding protein eIF4GI, and the helicase factor eIF4A.The recognition and binding of eIF4E to the m7G cap structure of the mRNA is essential for the …
Neurodevelopmental And Environmental Mechanisms Of Invasion, Proliferation, And Tumor Cell Fate Specification In Glioblastoma, Bianca Lynn Myers
Neurodevelopmental And Environmental Mechanisms Of Invasion, Proliferation, And Tumor Cell Fate Specification In Glioblastoma, Bianca Lynn Myers
Biomedical Sciences ETDs
Glioblastomas (GBMs) are the most aggressive primary brain tumors, and despite over 50 years of research efforts, the median survival remains at 14 months post-diagnosis. The current standard of care consists of maximal surgical resection radiotherapy with concurrent chemotherapy using temozolomide. However, the highly proliferative and invasive nature of GBM cells renders total resection nearly impossible as tumor cells invade the surrounding healthy tissue. The molecular and environmental drivers of these tumorigenic phenotypes are largely unknown. Here, we demonstrate that the neurodevelopmental transcription factor ASCL1 enhances tumor cell proliferation and invasion while activating the expression of a neural stem cell …
Leveraging Attention Mechanism To Unlock Gene And Protein Attributes, Ala Jararweh
Leveraging Attention Mechanism To Unlock Gene And Protein Attributes, Ala Jararweh
Computer Science ETDs
Advancing personalized medicine depends on effectively integrating and interpreting the vast, heterogeneous landscape of biological data, from genomic sequences and transcriptomics to the insights embedded in scientific literature. Current machine learning models often focus on single data modalities, limiting their capacity to capture the multifaceted nature of biological systems. We address this gap by developing three attention-based machine-learning models integrating diverse data modalities. Firstly, DeepVul is a multi-task model that leverages cancer transcriptome data to predict genes critical for cancer survival and their corresponding drugs. Subsequently, LitGene refines gene representations by integrating textual information from the scientific literature. Finally, Protein2Text …
Molecular Insights Into The Impact Of Bone Marrow Stroma, Cb-6644 Inhibition Of The Ruvbl1/2 Complex, And Cebpβ On Regulating Drug Sensitivity In Multiple Myeloma, Sebastian Adam Dziadowicz
Molecular Insights Into The Impact Of Bone Marrow Stroma, Cb-6644 Inhibition Of The Ruvbl1/2 Complex, And Cebpβ On Regulating Drug Sensitivity In Multiple Myeloma, Sebastian Adam Dziadowicz
Graduate Theses, Dissertations, and Problem Reports (ETD)
Multiple myeloma (MM), is a hematological cancer originating in plasma cells. Currently multiple myeloma represents a significant clinical challenge due its incurable nature mainly due to inevitable drug resistance. MM is characterized by abnormal plasma cell proliferation within the bone marrow and production of abnormal immunoglobulin resulting in a plethora of physiological abnormalities. Although a rare malignancy, MM accounts for 1% of all cancers and currently has five-year survival rate of around 50%. Utilizing a combination of laboratory experiments and bioinformatics techniques, this dissertation examines multiple layers of MM physiology in the context of regulating drug resistance or sensitivity. First, …
Analysis Of Differential Gene Expression In Androgen-Independent Clones Derived From The Mycap Pca Cell Line, Jessie L. Tignor, Melanie Sinanian, Richard Inho Joh, David Gewirtz, Jason Reed
Analysis Of Differential Gene Expression In Androgen-Independent Clones Derived From The Mycap Pca Cell Line, Jessie L. Tignor, Melanie Sinanian, Richard Inho Joh, David Gewirtz, Jason Reed
Undergraduate Research Posters
Androgen deprivation therapy (ADT) is a primary treatment strategy for prostate cancer (PCa), yet many tumors eventually develop androgen independence, leading to treatment resistance. To investigate the molecular changes underlying this transition, we analyzed differential gene expression in four androgen-independent (AI) clones derived from the Myc-CaP prostate cancer cell line using RNA sequencing. Gene expression profiles were compared to the parental Myc-CaP line, and differentially expressed genes (DEGs) were identified using DESeq2 and edgeR. The AI clones exhibited significant downregulation of senescence-associated genes, including Ezh2 and lamin B1, suggesting a loss of senescence-related chromatin repression. Additionally, upregulation of Wnt pathway …
Timigp: A Computational Framework To Determine The Tumor Immune Microenvironment Associated With Prognosis And Immunotherapy Response, Chenyang Li
Dissertations and Theses (Open Access)
Accumulating evidence has suggested that the tumor immune microenvironment (TIME) drastically impacts cancer patients’ clinical outcomes, including prognosis and immunotherapy response. However, understanding TIME remains challenging due to its complexity and heterogeneity. In this dissertation, we introduce TimiGP (Tumor Immune Microenvironment Illustration based on Gene Pairs), a computational framework designed to address this challenge. Leveraging single-cell RNA-seq (scRNA-seq) and bulk gene expression data alongside clinical information, TimiGP constructs a cell-cell interaction network that elucidates the relationship between immune cell function and relevant clinical outcomes, such as prognosis and treatment response. With immunological insights, these cell-cell interactions also facilitate the development …
Combination Therapy Of Ido1 Inhibition And Anti-Pd1 Mediates Anti-Tumor Immunity By Promoting Memory Immunity Development And Cytotoxicity Of Γδ T And Nk Cells Via Il-2 Signaling And By Overcoming Pro-Tumor Effects Of Tgf-Β Signaling, Hyuk Jee
Dartmouth College Master’s Theses
Cutaneous melanoma is the most aggressive form of skin cancer even though it takes only about 1% of all skin cancers. Even among all cutaneous melanomas, NRAS-mutant melanoma is more aggressive than any other, and about 10-25% of all cutaneous melanoma cases have mutations in NRAS. NRAS is a member of the RAS family of proto-oncogenic GTPase proteins, and it plays a key role in signal transduction pathways responsible for cellular survival, proliferation, and metabolism. Immunotherapy is the first line of defense against NRAS-mutant melanoma because, despite tremendous efforts made for decades, it has not been successful to develop small …
Early Onset Alzheimer’S Disease Markers In Mouse Hippocampus Unveiled By Single-Cell Transcriptomic Analysis Following Cranial Radiotherapy, Tuba Aksoy
Dissertations and Theses (Open Access)
Cranial radiation therapy plays an integral role in the treatment of brain tumors but can lead to progressive cognitive deficits in survivors by mechanisms that are poorly understood. To develop preventive or mitigative strategies, it is crucial to better understand the underlying pathogenesis of radiation-induced cognitive impairments. The study investigated single-cell transcriptomics and DNA methylation changes as potential drivers of persistent cellular dysfunction after radiation exposure, specifically concentrating on the CA1-3 regions of the hippocampus and the prefrontal cortex due to their role in cognitive functions. Thirteen-week-old mice underwent whole-brain radiation at clinically relevant doses. Following whole-brain radiation, an assessment …
The In4mer Crispr/Cas12a Multiplex Knockout Platform And Its Applications, Nazanin Esmaeili Anvar
The In4mer Crispr/Cas12a Multiplex Knockout Platform And Its Applications, Nazanin Esmaeili Anvar
Dissertations and Theses (Open Access)
Discovering synthetic lethal interactions between genes holds the key to uncovering cancer vulnerabilities, enabling the development of more effective drugs for patients. However, identifying these vulnerabilities in the complex genome of human, which comprises thousands of genes, poses a significant challenge. One alternative approach to investigate these interactions involves exploring enriched sources of synthetic lethal interactions, such as paralog pairs. In recent years, a couple of studies have conducted dual-gene knockout experiments on paralog pairs using different approaches to identify synthetic lethal interactions. In this study, we conducted a meta-analysis of CRISPR genetic interaction screens. We identified a candidate set …
A Comparative Study Of A Non-Small Cell Lung Cancer Associated Egfr Missense Variant Of Uncertain Significance, Vanessa Mejia
A Comparative Study Of A Non-Small Cell Lung Cancer Associated Egfr Missense Variant Of Uncertain Significance, Vanessa Mejia
Theses
Non-small cell lung cancer (NSCLC) is a form of lung cancer that can be driven by heightened activity of epidermal growth factor receptor encoded by the EGFR gene. Genetic variants in EGFR have been identified that lead to abnormal cell growth and tumorigenesis. The objectives of this study was to 1) determine if an EGFR variant of uncertain significance (VUS) associated with NSCLC is potentially damaging based on evaluation of the ortholog let-23 in the model organism, C. elegans, and 2) identify conserved missense VUS loci associated with NSCLC. Through ClinVar, the EGFR VUS c.845G>C(p.Gly282Ala) was identified in …
Trip13’S Crucial Role In Pancreatic Cancer Progression, Swati Dhasmana, Anupam Dhasmana, Stella Rios, Iris A. Enriquez-Perez, Sheema Khan, Farrukh Afaq, Upender Manne, Murali M. Yallapu, Subhash Chauhan
Trip13’S Crucial Role In Pancreatic Cancer Progression, Swati Dhasmana, Anupam Dhasmana, Stella Rios, Iris A. Enriquez-Perez, Sheema Khan, Farrukh Afaq, Upender Manne, Murali M. Yallapu, Subhash Chauhan
Research Symposium
Background: Pancreatic cancer, characterized by its high mortality rate, stands as one of the most aggressive cancer forms. The projected surge in pancreatic cancer-related deaths, making it the second leading cause in the United States by 2030, underscores the urgency for effective early screening tools. This study employs data mining methods to scrutinize bioinformatic data surrounding TRIP13. Examining differential expression across various cancers, correlating TRIP13 expression with pancreatic cancer stages, exploring associations with common cancer genes, and analyzing overall survival rates constitute the core investigations. Integrated with molecular biology techniques, the study further quantifies TRIP13 expression in progressive pancreatic cancer …
Remodeling Anaplastic Thyroid Cancer's Aggressive Profile And Metabolic Signature By Natural Alkaloid Berberine, Tara Elizabeth Jarboe
Remodeling Anaplastic Thyroid Cancer's Aggressive Profile And Metabolic Signature By Natural Alkaloid Berberine, Tara Elizabeth Jarboe
NYMC Student Theses and Dissertations
Anaplastic thyroid cancer is a rare, fatal cancer with a five-year survival of 4%. Universally diagnosed at stage IV, anaplastic thyroid cancer is characterized by its lack of differentiation, rapid proliferative rate, highly inflammatory tumor microenvironment, and metabolic dysregulation. Refractory to all established therapies, anaplastic thyroid cancer requires a novel therapeutic approach that targets all of these drivers of anaplastic thyroid cancer carcinogenesis. We propose natural alkaloid berberine as a therapeutic with multitarget efficacy to alter mitochondrial metabolism and reprogram anaplastic thyroid cancer’s aggressive phenotype. Our in vitro model uses monocyte cell line U937, anaplastic thyroid cancer cell lines T238 …
Protein-Protein Interactions In Cell Cycle Proteins: An In Silico Investigation Of Two Important Players, Andriele Eichner
Protein-Protein Interactions In Cell Cycle Proteins: An In Silico Investigation Of Two Important Players, Andriele Eichner
Dissertations, Theses, and Capstone Projects
The examination of the cell cycle carries significant implications for the biology, health, and overall existence of all living things. These implications span from the development and growth of these organisms to the aging process and cancer, as well as the potential of stem cell therapies to repair diseases and injuries. Numerous proteins of the cell cycle are essential for cellular division and proliferation and are widely conserved over the course of evolution. In this work, we aimed to investigate the molecular processes of protein-protein interactions in cell cycle proteins, centering on two key players: Cdc6 in budding yeast and …
Abl1/2 And Ddr1 Cooperate To Stabilize Braf/Craf To Drive Erk1/2 Reactivation And Promote Mek Inhibitor Resistance In Nras-Mutant Melanomas, Anastasia Lyon
Abl1/2 And Ddr1 Cooperate To Stabilize Braf/Craf To Drive Erk1/2 Reactivation And Promote Mek Inhibitor Resistance In Nras-Mutant Melanomas, Anastasia Lyon
Theses and Dissertations--Pharmacology and Nutritional Sciences
This study addresses the escalating incidence of NRAS-mutant melanomas, a type of skin cancer lacking FDA-approved targeted therapies. Despite ongoing research targeting the RAF/MEK/ERK pathway, existing drugs fail to enhance progression-free survival due to acquired resistance. This project identifies a novel role for ABL1/2 and DDR1 kinases in driving drug resistance and proliferation of NRAS-mutant melanoma cells. ABL1/2 and DDR1 cooperate to promote RAF homodimerization and protein stability in order to reactivate MEK/ERK signaling to drive MEK1/2 inhibitor (MEKi) resistance and promote survival of resistant cells. By targeting ABL1/2 and DDR1 with nilotinib, a FDA-approved anti-leukemic inhibitor, we …
Exploring 3d Genome Interaction And Epigenetic Regulation Via Swi/Snf Complex And Deep Learning Models, Ruoyun Wang
Exploring 3d Genome Interaction And Epigenetic Regulation Via Swi/Snf Complex And Deep Learning Models, Ruoyun Wang
Dartmouth College Ph.D Dissertations
The three-dimensional organization of the genome is fundamental in regulating gene expression and maintaining cellular function. This organization's complexities, influenced by epigenetic marks and chromatin remodeling complexes, are crucial for understanding genomic regulation. Among these, the SWI/SNF complexes are key, facilitating chromatin accessibility and regulating gene activity across cell types. The first part of my dissertation focuses on SWI/SNF complexes, exploring their role in chromatin remodeling and their impact on 3D genome architecture. Utilizing next-generation sequencing (NGS) techniques, this section investigates the interplay between these complexes and chromatin structure. During my research on the SWI/SNF complex, I was intrigued by …
Genomic Characterization Of Adolescent And Young Adult Cancers: Investigation Of Ewing Sarcoma Susceptibility And Chornobyl Thyroid Tumors, Olivia Lee
Dissertations and Theses (Open Access)
Adolescent and young adult (AYA) cancers, diagnosed between the ages of 15 and 39, can exhibit distinctive genetic and molecular characteristics. Reported epidemiologic findings and treatment outcomes based on pediatric and adult cancer studies are often not suitable for application to the AYA population, underscoring the need for more thorough genomic research. Advances in sequencing technologies have enabled comprehensive analyses of complex genomic characteristics of AYA cancers, crucial for understanding the underlying biology of these malignancies. Here, I have utilized advanced sequencing techniques and integrated analytic approaches to describe important genomic features in two different AYA cancer types: Ewing Sarcoma …
Pro-Apoptosis Activity Of Pogostemon Cablin Benth. Against Nasopharyngeal Carcinoma Through The Bcl-2 Inhibition Signaling Pathway: A Computational Investigation, Aigia Syahraini, Essy Harnelly, Feri Eko Hermanto
Pro-Apoptosis Activity Of Pogostemon Cablin Benth. Against Nasopharyngeal Carcinoma Through The Bcl-2 Inhibition Signaling Pathway: A Computational Investigation, Aigia Syahraini, Essy Harnelly, Feri Eko Hermanto
Makara Journal of Science
Resistance to chemotherapy and radiotherapy frequently emerges in the later stage of nasopharyngeal carcinoma (NPC) tumorigenesis. The decreased response of NPC to radiotherapy and chemotherapy occurs owing to the inhibition of cancer cell apoptosis by the B-cell lymphoma-2 (BCL-2) protein. Thus, inhibiting BCL-2 protein may become a powerful approach to eliminate NPC through apoptosis regulation. Meanwhile, Pogostemon cablin is reported to exhibit anticancer properties, but there are limited studies on its use for NPC treatment. The objective of this study is to investigate the potential bioactive compounds in P. cablin as anti-apoptosis BCL-2 protein inhibitors using in-silico approach. Natural compounds …
The Use Of Prognostic Markers To Predict Disease Progression And Clinical Outcome In Monoclonal Gammopathy Of Undetermined Significance, Smouldering Multiple Myeloma And Multiple Myeloma., Róisín C. Mcmonagle
The Use Of Prognostic Markers To Predict Disease Progression And Clinical Outcome In Monoclonal Gammopathy Of Undetermined Significance, Smouldering Multiple Myeloma And Multiple Myeloma., Róisín C. Mcmonagle
International Undergraduate Journal of Health Sciences
Multiple Myeloma (MM) is an incurable plasma cell malignancy with a complex and incompletely understood molecular pathogenesis. Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smouldering Multiple Myeloma (SMM) precede MM, with variable risks and rates of disease progression. The continuing high relapse and death rate in MM cases has prompted research into more accurate prognostic markers to predict progression from MGUS and SMM to MM, as well as identify MM cases with aggressive disease, in order to begin early, targeted and effective therapeutic intervention. Many studies have focused on utilising current markers more effectively, including M-protein, serum-free light chain ratio, …
Cytotoxic Activity Of Salvia Officinalis Extract Mediated By The Inhibition Of Jak2 In Breast Cancer, Salma Alawadi Dawood
Cytotoxic Activity Of Salvia Officinalis Extract Mediated By The Inhibition Of Jak2 In Breast Cancer, Salma Alawadi Dawood
Theses and Dissertations
Background: Breast cancer is the most common type of invasive cancer in women in their forties and fifties. Recent evidence suggests that JAK2/STAT3 signaling is constitutively active in breast cancer. Previous studies suggest that plant extracts, including Salvia Officinalis, have strong cytotoxic effects on breast cancer cells. The differential expression of miRNAs is also strongly linked to cancer development.
Aim: In the current study, we hypothesize that S. Officinalis extract suppresses JAK2 expression and has strong anticancer potential in MCF7 breast cancer cell lines.
Methods: GC-MS analysis showed the presence of flavonoids in dried leaf of …
Cell-Typing And Interaction Analysis Of The Immune Compartment Of The Tumor Microenvironment Using High-Resolution Omics Modalities, Courtney Taylor Schiebout
Cell-Typing And Interaction Analysis Of The Immune Compartment Of The Tumor Microenvironment Using High-Resolution Omics Modalities, Courtney Taylor Schiebout
Dartmouth College Ph.D Dissertations
Single-cell RNA-sequencing (scRNA-seq) has provided a new frontier for the investigation of complex tissues. One ideal candidate for the utilization of this method is the tumor microenvironment (TME). The TME is often host to a complex set of cell populations and behaviors that can be highly influential for cancer inhibition or progression. This is especially true of the immune compartment of the TME: the presence of certain types of immune cells in the TME and their expression profiles can significantly affect cancer prognosis in some cases. By providing individual cell-level gene expression data, scRNA-seq can be highly informative for characterizing …
Biomarker Metabolite Discovery For Pancreatic Cancer Using Machine Learning, Immanuelle Kezia, Linda Erlina, Aryo Tedjo, Fadilah Fadilah
Biomarker Metabolite Discovery For Pancreatic Cancer Using Machine Learning, Immanuelle Kezia, Linda Erlina, Aryo Tedjo, Fadilah Fadilah
Indonesian Journal of Medical Chemistry and Bioinformatics
Pancreatic cancer is one of the deadliest cancers in the world. This cancer is caused by multiple factors and mostly detected at late stadium. Biomarker is a marker that can identify some diseases very specific. For pancreatic cancer, biomarker has been recognized using blood sample known as liquid biopsy, breath, pancreatic secret, and tumor marker CA19-9. Those biomarkers are invasive, so we want to identify the disease using a very convenient method. Metabolite is product from cell metabolism. Metabolites can become a biomarker especially from difficult diseases. In this paper, we want to find biomarker from metabolite using machine learning …
Identification Of Novel Biosynthetic Gene Clusters Encoding For Polyketide/Nrps-Producing Chemotherapeutic Compounds From Marine-Derived Streptomyces Hygroscopicus From A Marine Sanctuary, Hannah Ruth Flaherty
Identification Of Novel Biosynthetic Gene Clusters Encoding For Polyketide/Nrps-Producing Chemotherapeutic Compounds From Marine-Derived Streptomyces Hygroscopicus From A Marine Sanctuary, Hannah Ruth Flaherty
Honors Theses and Capstones
Nearly one out of six deaths in 2020, around ten million people, were caused by cancer, making it a leading cause of death worldwide (WHO, 2022). This major public health issue, in addition to the rise of multidrug-resistant (MDR) pathogens, provides a high demand for the discovery of new pharmaceutical drugs to be used clinically to treat these conditions. The Streptomyces genus accounts to produce 39% of all microbial metabolites currently approved for human health, indicating its potential as an important species to study for antimicrobial and anticancer agents. The long linear genome of Streptomyces contains specialized sequences known as …
Characterization Of Cell Type-Specific Molecular Heterogeneity In Cancer Using Multi-Omic Approaches, Min Kyung Lee
Characterization Of Cell Type-Specific Molecular Heterogeneity In Cancer Using Multi-Omic Approaches, Min Kyung Lee
Dartmouth College Ph.D Dissertations
Tumors are composed of heterogeneous cell types each with its own unique molecular profiles. Recent advances in single cell genomics technologies have begun to increase our understanding of the molecular heterogeneity that exists in tumors with particular focus on gene expression and chromatin accessibility profiles. However, due to limitations in methods for certain sample types and high cost for single cell genomics, bulk tumor molecular profiling has been and remains widely used. In addition, other facets of single cell epigenomic profiling, particularly methylation and hydroxymethylation, remains underexplored. Thus, investigations to understand the cell type specific epigenetic heterogeneity and the cooperation …
Bioinformatic Analysis Of Proteomic And Genomic Data From Nsclc Tumors On Prognostic And Predictive Factors Of Immunotherapy Treatment, Mark Wuenschel
Bioinformatic Analysis Of Proteomic And Genomic Data From Nsclc Tumors On Prognostic And Predictive Factors Of Immunotherapy Treatment, Mark Wuenschel
Theses and Dissertations--Pharmacy
Recent lung cancer research has led to advancements in molecular immunology, resulting in development of small molecule inhibitors, or immune checkpoint inhibitors, that propagate an anti-tumor T cell response. Despite increased overall and progression-free survival with reduced adverse effects compared to traditional chemotherapy, treating advanced stage lung adenocarcinoma patients remains non-curative, and evidence of non-responders or tumor recurrence to immune checkpoint inhibitor therapy is growing. Also, compared to traditional chemotherapy, there is a lower percentage of patients who respond to small molecule inhibitors. In this analysis of proteomic and genomic data from The Cancer Proteome Atlas and Global Data Commons …