Cell and Developmental Biology Commons^™

A Scoping Review Of Population Diversity In The Common Genomic Aberrations Of Clear Cell Renal Cell Carcinoma, Sean S. Kumar, Ninad Khandekar, Komal Dani, Saina R. Bhatt, Vinay Duddalwar, Anishka D'Souza

Department of Medicine Faculty Publications

Introduction: Previous literature has shown that clear cell renal cell carcinoma (ccRCC) is becoming a more prevalent diagnosis and that the incidence and mortality differ both regionally and racially. While the molecular profiles for ccRCC are studied regionally through biopsy and sequencing techniques, the genomic landscape and ccRCC diversity data are not well-studied. We conducted a review of the known genomic data on 6 of the most clinically relevant DNA biomarkers in ccRCC: Von Hippel-Landau (vHL), Polybromo-1 (PBRM1), Breast Cancer Gene 1-Associated Protein 1 (BAP1), Histone-Lysine N-Methyltransferase Domain-Containing 2 (SETD2), Mammalian Target of Rapamycin (mTOR), and Lysine-Specific Demethylase 5C (KDM5C). …

Paper-Based Dna Biosensor For Rapid And Selective Detection Of Mir-21, Alexander Hunt, Sri Ramulu Torati, Gymama Slaughter

Electrical & Computer Engineering Faculty Publications

Cancer is the second leading cause of death globally, with 9.7 million fatalities in 2022. While routine screenings are vital for early detection, healthcare disparities persist, highlighting the need for equitable solutions. Recent advancements in cancer biomarker identification, particularly microRNAs (miRs), have improved early detection. MiR-21 is notably overexpressed in various cancers and can be a valuable diagnostic tool. Traditional detection methods, though accurate, are costly and complex, limiting their use in resource-limited settings. Paper-based electrochemical biosensors offer a promising alternative, providing cost-effective, sensitive, and rapid diagnostics suitable for point-of-care use. This study introduces an innovative electrochemical paper-based biosensor that …

Identifying New Cancer Genes Based On The Integration Of Annotated Gene Sets Via Hypergraph Neural Networks, Chao Deng, Hong-Dong Li, Li-Shen Zhang, Yiwei Liu, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation

Identifying cancer genes remains a significant challenge in cancer genomics research. Annotated gene sets encode functional associations among multiple genes, and cancer genes have been shown to cluster in hallmark signaling pathways and biological processes. The knowledge of annotated gene sets is critical for discovering cancer genes but remains to be fully exploited.

Results

Here, we present the DIsease-Specific Hypergraph neural network (DISHyper), a hypergraph-based computational method that integrates the knowledge from multiple types of annotated gene sets to predict cancer genes. First, our benchmark results demonstrate that DISHyper outperforms the existing state-of-the-art methods and highlight the advantages of …

Sccad: Cluster Decomposition-Based Anomaly Detection For Rare Cell Identification In Single-Cell Expression Data, Yunpei Xu, Shaokai Wang, Qilong Feng, Jiazhi Xia, Yaohang Li, Hong-Dong Li, Jianxin Wang

Computer Science Faculty Publications

Single-cell RNA sequencing (scRNA-seq) technologies have become essential tools for characterizing cellular landscapes within complex tissues. Large-scale single-cell transcriptomics holds great potential for identifying rare cell types critical to the pathogenesis of diseases and biological processes. Existing methods for identifying rare cell types often rely on one-time clustering using partial or global gene expression. However, these rare cell types may be overlooked during the clustering phase, posing challenges for their accurate identification. In this paper, we propose a Cluster decomposition-based Anomaly Detection method (scCAD), which iteratively decomposes clusters based on the most differential signals in each cluster to effectively separate …

Triphlapan: Predicting Hla Molecules Binding Peptides Based On Triple Coding Matrix And Transfer Learning, Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li

Computer Science Faculty Publications

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding …

Elucidating Mechanisms Of Enhanced Dsrna-Nanophytoglycogen Innate Immune Responses In Healthy Human Cells, Nicholas Jadaa

Theses and Dissertations (Comprehensive)

Immunostimulatory nucleic acids, such as long double-stranded RNA (ds)RNA, can stimulate innate immune responses in a non-sequence specific manner. These molecules are recognized by pattern-recognition receptors in the cytoplasm, endosome, and on the cell surface. Activation leads to the production of mediators of innate immune pathways, including type I interferon and proinflammatory cytokines. Although these receptors are present in all cells, their role in non-immune cells is often overlooked due to their lower level of responsiveness. Nanocarriers can enhance these nucleic acid-mediated responses, allowing for exploration of innate immune pathways in non-immune cells. Nanoparticles as carriers of nucleic acids can …

Developing Cellular Systems To Elucidate Rna Structural Dynamics Of Cag Expansion Transcripts In Spinocerebellar Ataxias, Victoria Demeo

Electronic Theses & Dissertations (2024 - present)

Spinocerebellar ataxias (SCAs) are a diverse group of over 40 genetically heterogeneous neurodegenerative disorders, many of which are caused by a trinucleotide CAG repeat expansion in the coding region of specific genes. These expansions lead to the production of polyglutamine (polyQ) tracts that interfere with normal protein function, triggering cellular dysfunction and contributing to disease pathogenesis. The most well-known of these SCAs, such as SCA1, SCA2, and SCA3, exhibit progressive neurodegeneration, yet the precise mechanisms through which these mutations cause disease remain poorly understood.

A significant challenge in studying CAG repeat expansion disorders lies in the complexity of the disease …

Transcription And Translation Regulation Of Germ Cell To Maternal Transition, Noor Kotb

Electronic Theses & Dissertations (2024 - present)

In sexually reproducing organisms, the process of gametogenesis produces mature eggs and sperms required for fertilization to occur. The egg's quality is crucial for the healthy development of the next generation, making oogenesis a tightly regulated process with multiple benchmarks. To investigate the intricacies of oogenesis, we utilized the Drosophila oogenesis system as our primary model. This choice was motivated by several factors. Firstly, the process of egg development in Drosophila is conserved across species, making it a valuable proxy for understanding oogenesis in other organisms, including humans. Secondly, Drosophila melanogaster has long been established as a powerhouse in genetic …

Chromatin Regulation By Swi/Snf Remodelers In Somatic Stem Cell Maintenance And Transformation, Luke Thomas Deary

Dartmouth College Ph.D Dissertations

Cell identity is defined by the epigenome, whereby chromatin regulators work in concert to promote gene expression programs that serve a cell’s specialized purpose. Mutations in chromatin regulators are amongst the most frequent drivers of human disease, underscoring the importance of understanding their activities in maintaining cell identity and tissue function. In particular, mutations in subunits of the evolutionarily conserved SWI/SNF chromatin remodeling complexes drive diseases across human tissues in both development and adult tissue maintenance5. Three major SWI/SNF complexes exist: BAF, PBAF, and GBAF, which differ in their composition and genomic targeting but share an ATP-dependent catalytic activity to …

Estrogen Receptor (Er) Alpha Regulatory Mechanisms And Therapeutic Strategies In Er+ Breast Cancer, Bianca A. Romo

Dartmouth College Ph.D Dissertations

Breast cancer is among the most frequently diagnosed cancers in the U.S. and is one of the leading causes of cancer-related mortalities, second to lung cancer. Estrogen receptor alpha-positive (ER+) breast cancer accounts for 2/3 of diagnosed cases. Patients diagnosed with this subtype of breast cancer typically undergo endocrine therapy that aims to mitigate the growth-promoting effects of estrogen/ER. While therapies are effective, 1/3 of patients will experience recurrence. To begin addressing this drug-resistant patient population, we investigated potential drug targets involved in response to treatment.

Coregulators have been implicated in the regulation of ER transcriptional activity and subsequently affecting …

Functional Investigation Of Shaggy, An Inhibitor Of Canonical Wnt Signaling, In The Tardigrade Hypsibius Exemplaris, Raul A. Chavarria

UNF Graduate Theses and Dissertations

Tardigrades have a highly simplified anteroposterior (AP) axis. The mechanisms that regulate the development of this secondarily simplified AP axis are not known. In many animals, the canonical Wnt (cWnt) signaling pathway regulates primary axis establishment through antagonistic interactions with inhibitors of cWnt signaling. This study investigated the roles of shaggy, an inhibitor of cWnt signaling, in regulating development in the tardigrade Hypsibius exemplaris. Gene expression patterns of shaggy and other components of the cWnt signaling pathway were analyzed alongside markers of anterior and posterior identity using Hybridization Chain Reaction in situ in H. exemplaris. RNA interference …

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 (ETD)

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 …

Immunomodulation In Osteosarcoma: From Therapy To Diagnostics, Ryan Austin Lacinski

Graduate Theses, Dissertations, and Problem Reports (ETD)

Osteosarcoma (OS) is a rare pediatric bone malignancy. Those who develop advanced disease, often in the form of metastasis to the lung, experience poor five-year survival rates near approximately 25%. Considering minimal-to-no therapeutic breakthroughs have occurred for treatment of this disease since the 1980s, efforts to develop new therapeutics are underway. The goal of this dissertation was to initiate the preclinical efforts necessary to reinvigorate the use of immunostimulatory cytokine therapy for the treatment of OS and other solid tumors. This effort would not only include the development of the immunotherapeutic known as IL12ns, but also the clinical diagnostic tools …

Identification And Therapeutic Targeting Of Metabolic Alterations In Estrogen Receptor-Positive Breast Cancer, Steven Tau

Dartmouth College Ph.D Dissertations

Estrogen receptor-positive breast cancer remains one of the most frequently diagnosed cancers in women. Despite adjuvant endocrine therapy reducing the rate of recurrence, there remains a significant proportion of patients whose breast cancer will recur years to decades after the initial diagnosis. The underlying biology of tumor cells in the period between initiation of adjuvant therapy and recurrence is relatively unexplored, preventing the development of better treatment options. From a genome-wide screening approach, we identified and characterized broad metabolic reprogramming associated with the persistent cell state. We demonstrate that a decreased ability to metabolize glucose in turn pushes a higher …

Near-Infrared Paired-Agent Imaging For In Vivo Quantification Of Receptor Occupancy In Tumor, Yichen Feng

Dartmouth College Ph.D Dissertations

Accurate assessment of drug receptor occupancy (RO) holds significant importance in both drug development and personalized medicine, as it facilitates quantitative characterization of dose-response relationship for a given drug. This information not only aids appropriate dose selection for clinical trials but also guides personalized dose optimization in precision medicine.

Molecular imaging, utilizing receptor-specific imaging agents for tissue visualization, has emerged as the major option for in vivo measurement of tissue RO. Nonetheless, the abnormal yet complex structure and hemodynamics of tumors often lead to substantial non-specific uptake and retention of imaging agents, thus introducing significant bias to RO measurements. To …

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 …

Synthesis Of Long Oligodeoxynucleotides, Yipeng Yin

Dissertations, Master's Theses and Master's Reports

Synthetic long oligodeoxynucleotides (ODNs) have found wide applications in diverse fields such as chemical biology, synthetic biology, and genes and genomes synthesis. Those applications leading to a significant demand for their production. However, traditional methods for purifying synthetic ODNs present notable drawbacks, particularly their inability to purify long ODNs, rendering long ODN synthesis challenging. To address these issues, chemical synthesis techniques for long ODNs coupled with non-chromatographic purification methods have been developed. This technology makes the purification of long synthetic ODNs feasible and offers a viable pathway for producing genes and genomes with extensive repeats or stable secondary structures, which …

Neurodevelopmental Vulnerability To Gestational Ozone Exposure, Vishnupriya Alavala, Sarah E. Brent, Christopher G. Canal, Joseph Wang, Russell P. Hunter, Matthew J. Campen, Andrew K. Ottens

Undergraduate Research Posters

Ambient air pollution accounts for about 4.2 million premature deaths annually per the World Health Organization. Ozone (O3) is a highly reactive air pollutant found in smog and is implicated in cellular damage leading to organ dysfunction. Ambient air pollution is associated with neurodevelopmental, behavioral, and cognitive disorders though ozone’s role is unknown. Studies here look at ozone exposure shortly after implantation vs. shortly before term to evaluate differences in neurodevelopmental susceptibility over time.

To inquire on the effects of ozone on the fetal brain, pregnant Sprague-Dawley rats were exposed once to 0.3 ppm of O3 or filtered air (FA) …

A Comparison Of Three Dna Extraction Methods On 45-Year-Old Pupae Cases, Ananya Udyaver, Casey Flint, Jeffery Tomberlin, Baneshwar Singh

Undergraduate Research Posters

Blow flies are the primary colonizers of human cadavers. In many death investigations, insect evidence can help in prediction of minimum post-mortem interval (PMImin) but to do that, the first step is to identify collected insect evidence. For immature stages, morphological keys are either limited or incomplete and hence DNA based identification is used. For DNA based ID, DNA extraction is the first and the most important step, especially when collected evidence is highly degraded. The main aim of this study was to compare three DNA extraction methods (QIAgen Blood and Tissue Kit, organic, and QIAgen DNA Investigator Kit) to …

Consequences Of Spatial Structure In Soil–Geomorphic Data On The Results Of Machine Learning Models, Daehyun Kim, Insang Song, Lorrayne Miralha, Daniel R. Hirmas, Ryan W. Mcewan, Tom G. Mueller, Pavel Samonil

Biology Faculty Publications

In this paper, we examined the degree to which inherent spatial structure in soil properties influences the outcomes of machine learning (ML) approaches to predicting soil spatial variability. We compared the performances of four ML algorithms (support vector machine, artificial neural network, random forest, and random forest for spatial data) against two non-ML algorithms (ordinary least squares regression and spatial filtering regression). None of the ML algorithms produced residuals that had lower mean values or were less autocorrelated over space compared with the non-ML approaches. We recommend the use of random forest when a soil variable of interest is weakly …