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Articles 151 - 180 of 1231
Full-Text Articles in Systems Biology
Wetland Restoration Efforts Result In Increasing Phylogenetic Diversity, Nicholas T. Foster
Wetland Restoration Efforts Result In Increasing Phylogenetic Diversity, Nicholas T. Foster
Graduate Research Theses & Dissertations
Over the course of ecological restoration efforts, it has been observed that, despite restoration activities, species richness sometimes declines in a given habitat. While this response can be interpreted to mean that restoration activities are ineffective, other measures known as Phylogenetic Diversity Metrics can show that the community is actually becoming more diverse. Utilizing plant inventories collected as transect data from 1992-2021 of five wetland sites under various types of restoration in northern Illinois, a regional wetland community phylogeny was assembled. The community phylogeny was then analyzed for phylogenetic diversity measures through this 30-year period across the five sites. Additionally, …
Bone Marrow Stroma-Induced Transcriptome Signatures Of Multiple Myeloma As Modulated By Junb, Jasleen Kaur Gandhi
Bone Marrow Stroma-Induced Transcriptome Signatures Of Multiple Myeloma As Modulated By Junb, Jasleen Kaur Gandhi
Graduate Theses, Dissertations, and Problem Reports (ETD)
The bone marrow (BM) microenvironment acts as a breeding ground for drug resistance in multiple myeloma (MM). The interaction with bone marrow stromal cells (BMSCs) confer environment-mediated drug resistance (EMDR) to multiple myeloma. We investigated BM stroma-induced transcriptome signatures of MM cells through a sophisticated analysis of gene expression. In particular, we defined transcription program modulated by JunB, an emerging regulator of MM pathogenesis and a member of the transcription factor superfamily activator protein 1 (AP-1), in response to BM stimulation. The data and results lay down a foundation for future studies to illustrate the regulatory role of JunB in …
Convergence Properties Of Solutions Of A Length-Structured Density-Dependent Model For Fish, Geigh Zollicoffer
Convergence Properties Of Solutions Of A Length-Structured Density-Dependent Model For Fish, Geigh Zollicoffer
Rose-Hulman Undergraduate Mathematics Journal
We numerically study solutions to a length-structured matrix model for fish populations in which the probability that a fish grows into the next length class is a decreasing nonlinear function of the total biomass of the population. We make conjectures about the convergence properties of solutions to this equation, and give numerical simulations which support these conjectures. We also study the distribution of biomass in the different age classes as a function of the total biomass.
Immunological Factors Associated With Siv/ Shiv Persistence In Diverse Tissue Niches, Omalla A. Olwenyi
Immunological Factors Associated With Siv/ Shiv Persistence In Diverse Tissue Niches, Omalla A. Olwenyi
Theses & Dissertations
The significant challenge towards a successful HIV cure lies in eradicating persistent viral reservoirs across diverse tissue niches. As a result, HIV-infected individuals have to resort to lifelong antiretroviral therapy. Recent news of supposed HIV eradication in a second patient has further re-invigorated the fields of HIV cure. However, a few barriers remain, such as the lack of currently available assays to accurately quantify viral reservoirs, limited information on cellular factors associated with persistence, and varied dynamics of the viral reservoir in various body compartments. Lastly, HIV-infected individuals live different lifestyles stemming from comorbid substance abuse including consumption of morphine, …
Measuring Science Teachers' Emotional Experiences With Evolution Using Real World Scenarios, William Lee Romine, Rutuja Mahajan, Amber Todd
Measuring Science Teachers' Emotional Experiences With Evolution Using Real World Scenarios, William Lee Romine, Rutuja Mahajan, Amber Todd
Biological Sciences Faculty Publications
Low acceptance of evolution remains an obstacle to quality biology instruction. We develop and utilize a novel assessment which measures emotional experience in light of real-world evolution education scenarios. We presented 296 science teachers 4 pro-evolution and 8 anti-evolution scenarios and asked them to rate their levels of joy, anger, sadness, fear, disgust, shame, and guilt elicited by that scenario on an ordinal 5-point scale. We used exploratory factor analysis to extract the most important dimensions in the teachers’ responses, Rasch analysis to explore the validity of the extracted subscales, and stepwise regression to find the most important factors driving …
A Dystrophin Exon‐52 Deleted Miniature Pig Model Of Duchenne Muscular Dystrophy And Evaluation Of Exon Skipping, Yusuke Echigoya, Nhu Trieu, William Duddy, Hong M. Moulton, Haifang Yin, Terence A. Partridge, Eric P. Hoffman, Joe N. Kornegay, Frank A. Rohret, Christopher S. Rogers, Toshifumi Yokota
A Dystrophin Exon‐52 Deleted Miniature Pig Model Of Duchenne Muscular Dystrophy And Evaluation Of Exon Skipping, Yusuke Echigoya, Nhu Trieu, William Duddy, Hong M. Moulton, Haifang Yin, Terence A. Partridge, Eric P. Hoffman, Joe N. Kornegay, Frank A. Rohret, Christopher S. Rogers, Toshifumi Yokota
Genomics and Precision Medicine Faculty Publications
No abstract provided.
The Mayfly Newsletter, Donna Giberson
The Mayfly Newsletter, Donna Giberson
The Mayfly Newsletter
The Mayfly Newsletter is the official newsletter of the Permanent Committee of the International Conferences on Ephemeroptera.
Quantifying Planarian Behavior As An Introduction To Object Tracking And Signal Processing, Nicole C. Stowell, T. Goel, Vir Shetty , '22, Jocelyne Noveral, Eva-Maria S. Collins
Quantifying Planarian Behavior As An Introduction To Object Tracking And Signal Processing, Nicole C. Stowell, T. Goel, Vir Shetty , '22, Jocelyne Noveral, Eva-Maria S. Collins
Biology Faculty Works
Answers to mechanistic questions about biological phenomena require fluency in a variety of molecular biology techniques and physical concepts. Here, we present an interdisciplinary approach to introducing undergraduate students to an important problem in the areas of animal behavior and neuroscience—the neuronal control of animal behavior. In this lab module, students explore planarian behavior by quantitative image and data analysis with freely available software and low-cost resources. Planarians are ∼1–2-cm-long aquatic free-living flatworms famous for their regeneration abilities. They are inexpensive and easy to maintain, handle, and perturb, and their fairly large size allows for image acquisition with a webcam, …
Machine Learning-Based Risk Factor Analysis And Prevalence Prediction Of Intestinal Parasitic Infections, Ahmet Ay
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Identification Of Control Targets In Boolean Networks Via Computational Algebra, Alan Veliz-Cuba
Identification Of Control Targets In Boolean Networks Via Computational Algebra, Alan Veliz-Cuba
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Building Model Prototypes From Time-Course Data, David Murrugarra, Alan Veliz-Cuba
Building Model Prototypes From Time-Course Data, David Murrugarra, Alan Veliz-Cuba
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Chemoimmunotherapy Treatment Strategies On A Mathematical Model Of Cancer Evolution, Sandra M. Lopez, Yolocuauhtli Salazar, Paul A. Valle
Chemoimmunotherapy Treatment Strategies On A Mathematical Model Of Cancer Evolution, Sandra M. Lopez, Yolocuauhtli Salazar, Paul A. Valle
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Mathematical Model Describing The Behavior Of Biomass, Acidity, And Viscosity As A Function Of Temperature In The Shelf Life Of Yogurt, Manuel Alvarado, Paul A. Valle, Yolocuauhtli Salazar
Mathematical Model Describing The Behavior Of Biomass, Acidity, And Viscosity As A Function Of Temperature In The Shelf Life Of Yogurt, Manuel Alvarado, Paul A. Valle, Yolocuauhtli Salazar
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Neural Network Controller Vs Pulse Control To Achieve Complete Eradication Of Cancer Cells In A Mathematical Model, Joel A. Quevedo, Sergio A. Puga, Paul A. Valle
Neural Network Controller Vs Pulse Control To Achieve Complete Eradication Of Cancer Cells In A Mathematical Model, Joel A. Quevedo, Sergio A. Puga, Paul A. Valle
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
The Role Of Mathematics In 21st Century Medicine, Reinhard Laubenbacher
The Role Of Mathematics In 21st Century Medicine, Reinhard Laubenbacher
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Reconstructing Mathematical Models With Chaotic Attractors Via Genetic Algorithms, Luis A. Ramirez Islas, Paul A. Valle
Reconstructing Mathematical Models With Chaotic Attractors Via Genetic Algorithms, Luis A. Ramirez Islas, Paul A. Valle
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Investigation Of Arabidopsis Extremophyte Relatives, Schrenkiella Parvula And Eutrema Salsugineum Reveals Different Roads Leading To Salt Stress Tolerance, Kieu-Nga Thi Tran
Investigation Of Arabidopsis Extremophyte Relatives, Schrenkiella Parvula And Eutrema Salsugineum Reveals Different Roads Leading To Salt Stress Tolerance, Kieu-Nga Thi Tran
LSU Doctoral Dissertations
How plants adapt to salt stress has been a central question in plant biology for decades. Yet we have not been able to fully understand the molecular networks and genetic mechanisms underlying this complex trait. Most of the genetic work on salinity stress has focused on understanding salt stress responses in the leading, yet a salt-sensitive model Arabidopsis thaliana. With the recent availability of genomes for wild-relatives of A. thaliana, we can now investigate how naturally salt adapted plants may have evolved modified or novel molecular networks to adapt to salt stress. Therefore, my research utilizes a comparative …
The Classification Of Basket Neural Cells In The Mammalian Neocortex, Sreya Pudi
The Classification Of Basket Neural Cells In The Mammalian Neocortex, Sreya Pudi
Senior Theses
Basket neuronal cells of the mammalian neocortex have been classically categorized into two or more groups. Originally, it was thought that the large and small types are the naturally occurring groups that emerge from reasons that relate to neurobiological function and anatomical position. Later, a study based on anatomical and physiological features of these neurons introduced a third type, the net basket cell which is intermediate in size as compared to the large and small types. In this study, multivariate analysis was used to test the hypothesis that the large and small types are morphologically distinct groups. The results of …
Three Lc-Ms Plant Metabolomics Studies Of Hop (Humulus) Species: Wild H. Neomexicanus, Drought Stress, And Agricultural Terroir, Taylan Morcol
Three Lc-Ms Plant Metabolomics Studies Of Hop (Humulus) Species: Wild H. Neomexicanus, Drought Stress, And Agricultural Terroir, Taylan Morcol
Dissertations, Theses, and Capstone Projects
The hop plant (Humulus L., Cannabaceae) is a dioecious, perennial, twining vine with a long history of human use. Nowadays, hop plants are generally grown for their inflorescences (“cones”), which are used in brewing for their phytochemical metabolites. Many of these metabolites are involved in plant stress response and communication. Genetics and environment are two major factors that affect plant metabolism. In three separate metabolomics studies, this project examined the effects of both genetic and environmental factors on hop phytochemistry.
In the first study, 23 hop genotypes were grown in two different locations in the Pacific Northwest region of …
Understanding Potassium Toxicity Stress Responses Of The Extremophyte Schrenkiella Parvula Using Systems Biology Approaches, Pramod Pantha
Understanding Potassium Toxicity Stress Responses Of The Extremophyte Schrenkiella Parvula Using Systems Biology Approaches, Pramod Pantha
LSU Doctoral Dissertations
Schrenkiella parvula is an extremophyte model closely related to Arabidopsis thaliana and Brassica crops. Its natural habitat includes shores of saline lakes in the Irano-Turanian region. It has adapted to grow in soils rich in multiple salts including Na+ and K+. I have investigated the genetic basis for high K+ tolerance in plants using S. parvula as a stress tolerant model compared to the premier plant model, Arabidopsis thaliana which is highly sensitive to salt stresses using physiological, ionomic, transcriptomic, and metabolomic approaches. Under high K+ stress, root system architecture changes significantly compared to control …
The Mayfly Newsletter, Donna Giberson
The Mayfly Newsletter, Donna Giberson
The Mayfly Newsletter
The Mayfly Newsletter is the official newsletter of the Permanent Committee of the International Conferences on Ephemeroptera.
Habitat Use And Morphology Of Birds In "Intact" Amazonia Under Changing Climate, Vitek Jirinec
Habitat Use And Morphology Of Birds In "Intact" Amazonia Under Changing Climate, Vitek Jirinec
LSU Doctoral Dissertations
Neotropical forests contain the core of global avian diversity. Of these, the Amazon rainforest is the largest, but ~20% has already been lost to deforestation, inspiring research into the effects of clearing and fragmentation on forest birds. These studies have consistently shown that insectivorous birds that forage on or near the ground are the most sensitive species to forest disturbance. As a preamble to our study, we synthesized bird capture data collected over 40 years within continuous forest far from human disturbance. Remarkably, we found that terrestrial and near-ground insectivores have shown substantial abundance declines even within primary forest. The …
Of Biodiversity, Boundaries, And Distribution: The Myxomycetes Of The Philippines And Beyond, Sittie Aisha Bustamante Macabago
Of Biodiversity, Boundaries, And Distribution: The Myxomycetes Of The Philippines And Beyond, Sittie Aisha Bustamante Macabago
Graduate Theses and Dissertations
This dissertation contains a compilation of independently performed studies primarily focusing on the myxomycetes (plasmodial slime molds) from the Philippines and integrating local and worldwide data to demonstrate regional and global trends. The major themes include the following: (I) a review of the diverse group of spore-producing amoeboid protists, including the myxomycetes; (II-IV) diversity assessments in three different groups of islands in the Philippine archipelago; (V) mapping the myxomycetes found in the Philippines for databasing and analyzing the geocoded data; (VI) a study on regional boundaries, including the Philippines, using myxomycete species composition; and, (VII) creating a global species distribution …
The Neurological Asymmetry Of Self-Face Recognition, Aleksandra Janowska, Brianna Balugas, Matthew Pardillo, Victoria Mistretta, Katherine Chavarria, Janet Brenya, Taylor Shelansky, Vanessa Martinez, Kitty Pagano, Nathira Ahmad, Samantha Zorns, Abigail Straus, Sarah Sierra, Julian Keenan
The Neurological Asymmetry Of Self-Face Recognition, Aleksandra Janowska, Brianna Balugas, Matthew Pardillo, Victoria Mistretta, Katherine Chavarria, Janet Brenya, Taylor Shelansky, Vanessa Martinez, Kitty Pagano, Nathira Ahmad, Samantha Zorns, Abigail Straus, Sarah Sierra, Julian Keenan
Department of Biology Faculty Scholarship and Creative Works
While the desire to uncover the neural correlates of consciousness has taken numerous directions, self-face recognition has been a constant in attempts to isolate aspects of self-awareness. The neuroimaging revolution of the 1990s brought about systematic attempts to isolate the underlying neural basis of self-face recognition. These studies, including some of the first fMRI (functional magnetic resonance imaging) examinations, revealed a right-hemisphere bias for self-face recognition in a diverse set of regions including the insula, the dorsal frontal lobe, the temporal parietal junction, and the medial temporal cortex. In this systematic review, we provide confirmation of these data (which are …
Public Discussion Of Anthrax On Twitter: Using Machine Learning To Identify Relevant Topics And Events, Michele Miller, William Lee Romine, Terry L. Oroszi
Public Discussion Of Anthrax On Twitter: Using Machine Learning To Identify Relevant Topics And Events, Michele Miller, William Lee Romine, Terry L. Oroszi
Biological Sciences Faculty Publications
Background: Social media allows researchers to study opinions and reactions to events in real time. One area needing more study is anthrax-related events. A computational framework that utilizes machine learning techniques was created to collect tweets discussing anthrax, further categorize them as relevant by the month of data collection, and detect discussions on anthrax-related events. Objective: The objective of this study was to detect discussions on anthrax-related events and to determine the relevance of thetweets and topics of discussion over 12 months of data collection. Methods: This is an infoveillance study, using tweets in English containing the keyword “Anthrax” and …
Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra
Impact Of Intratumor Heterogeneity And The Tumor Microenvironment In Shaping Tumor Evolution And Response To Therapy, Akash Mitra
Dissertations and Theses (Open Access)
Intratumor heterogeneity (ITH) is a crucial challenge in cancer treatment. The genotypic and phenotypic heterogeneity underlying diverse cancer types leads to subclonal variation, which may result in mixed or failed response to therapy. The heterogeneity at the tumor level, along with the tumor microenvironment (TME), often shapes tumor evolution and ultimately clinical outcome. Given that modern treatment paradigms increasingly expose patients with metastatic disease to multiple treatment modalities through the course of their disease, there exists a need to characterize robust and predictive biomarkers of response to therapy. In order to accurately characterize tumor evolution, we need to account for …
Knowing What We Know: Leveraging Community Knowledge Through Automated Text-Mining, Justin Gardner, Jonathan Tory Toole, Hemant Kalia, Garry Spink Jr., Gordon Broderick
Knowing What We Know: Leveraging Community Knowledge Through Automated Text-Mining, Justin Gardner, Jonathan Tory Toole, Hemant Kalia, Garry Spink Jr., Gordon Broderick
Advances in Clinical Medical Research and Healthcare Delivery
No abstract provided.
Mapping The Little Brain At The Heart By An Interdisciplinary Systems Biology Team., Rajanikanth Vadigepalli, James S. Schwaber
Mapping The Little Brain At The Heart By An Interdisciplinary Systems Biology Team., Rajanikanth Vadigepalli, James S. Schwaber
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
No abstract provided.
Development Of In-Silico Pipelines For Identification And Characterization Of Biomarker Panels And Therapeutic Interventions In Gastro-Intestinal (Gi) Cancers, Pranita Atri
Theses & Dissertations
Gastro-intestinal (GI) malignancies, including gastric, colorectal, and pancreatic cancers, have maintained their high overall mortality due to a lack of prognostic and diagnostic biomarkers and potential therapeutic modalities. While efforts have been made to improve both early detection and therapeutic interventions in these cancers, failure of conventional approaches have proven to be a big challenge, and alternate approaches are needed. Computational biology approaches owing to lesser time and more per target success rate offer a unique solution here. The current study explored the use of computational biology techniques to study the various aspects relating to GI malignancies. First, we sought …
Biases And Blind-Spots In Genome-Wide Crispr-Cas9 Knockout Screens, Merve Dede
Biases And Blind-Spots In Genome-Wide Crispr-Cas9 Knockout Screens, Merve Dede
Dissertations and Theses (Open Access)
Adaptation of the bacterial CRISPR-Cas9 system to mammalian cells revolutionized the field of functional genomics, enabling genome-scale genetic perturbations to study essential genes, whose loss of function results in a severe fitness defect. There are two types of essential genes in a cell. Core essential genes are absolutely required for growth and proliferation in every cell type. On the other hand, context-dependent essential genes become essential in an environmental or genetic context. The concept of context-dependent gene essentiality is particularly important in cancer, since killing cancer cells selectively without harming surrounding healthy tissue remains a major challenge. The toxicity of …