Life Sciences Commons^™

The Δ¹³C Signature Of Dissolved Organic And Inorganic Carbon Reveals Complex Carbon Transformations Within A Salt Marsh, Meagan J. Eagle, Kevin D. Kroeger, John W. Pohlman, Joseph J. Tamborski, Zhaohui Aleck Wang, T. W. Brooks, Jennifer O. Keefe Suttles, Adrian Mann

OES Faculty Publications

Coastal wetlands have high rates of atmospheric CO₂ uptake, which is subsequently respired back to the atmosphere, stored as organic matter within flooded, anoxic soils, or exported to the coastal ocean. Transformation of fixed carbon occurs through a variety of subsurface aerobic and anaerobic microbial processes, and results in a large inventory of dissolved carbon. Carbon source and the roles of aerobic respiration, sulfate reduction, and methane cycling were evaluated within salt marsh peat and the underlying sandy subterranean estuary. There is a large increase in dissolved inorganic carbon (DIC, 7,350 ± 3,900 μmol L^-¹), dissolved organic carbon …

Characterization Of Microbial Biofilms On Marine Plastics: Community Development And Density Implications For Vertical Transport Dynamics, Gregory M. Joern, Rut Pedrosa-Pàmies, Xiangtao Jiang, Zhanfei Liu, Alexander B. Bochdansky

OES Faculty Publications

Marine plastic pollution poses a significant and escalating threat to ocean ecosystems, with microbial colonization on plastics playing a critical role in determining their environmental fate. Despite the recognized importance of microbial biofilms, their composition, dynamics, and functional contributions on buoyant plastics remain poorly understood. In this study, we leveraged a novel integrative approach by simultaneously employing 16S, 18S, and ITS sequencing alongside microscopy, lipidomics, pigment analysis, adenosine triphosphate and biogenic silica quantification. This comprehensive methodology allowed for a thorough characterization of microbial growth and community dynamics on plastic debris in a mid-latitude, tidal sub-estuary. Our analyses consistently identified diatoms, …

The Effect Of Temperature And Salinity On Margalefidinium Polykrikoides Group Iii Va, Usa Strain Growth, Eduardo Pérez-Vega, Margaret R. Mulholland, Katherine E. Crider, Kimberly E. Powell, P. Dreux Chappell, Alexander Bochdansky

OES Faculty Publications

Margalefidinium polykrikoides is a cosmopolitan dinoflagellate that blooms in coastal waters. Despite genomic evidence that it belongs to Group III and so closely related to isolates from Puerto Rico, Malaysia, North America, and Central America, M. polykrikoides blooms in the Chesapeake Bay at warmer temperatures and lower salinities than in coastal ecosystems occupied by its closest relatives. In this study, the effect of temperature and salinity on the growth rate and total cell yield of an M. polykrikoides VA culture isolate were examined and compared with environmental observations made during M. polykrikoides blooms in the Chesapeake Bay. M. polykrikoides group …

Successful Eastern Oyster (Crassostrea Virginica) Recruitment On Intertidal Artificial Substrates In Virginia, Usa, Rochelle D. Seitz, Kathleen E. Knick, Emily Suchonic, Amanda Pysher

OES Faculty Publications

Declines of eastern oyster (Crassostrea virginica) populations and scarcity of natural oyster shell necessitate quantifying the effectiveness of artificial oyster reef substrates over varying environmental conditions. Oyster castles are often used in intertidal areas with moderate wave energy; however, new concrete, natural-looking substrates, GROW Reef Tiles, are now available. Eastern oyster recruitment and size on oyster castles (OC) and GROW Reef Tiles (GT), with 27% higher surface area on OC, were assessed three times over 25 months in locations with varying salinity. Four sites in the Chesapeake Bay region were examined: Cherrystone Inlet, Mockhorn Bay, Elizabeth River, and …

Stress And Behavior In Beef Calves During Weaning, Kathleen E. Tierney

Theses and Dissertations

Animal welfare in commercial livestock operations has been an increasing topic of concern. It is well known that stress can have significant behavioral and physiological repercussions. It is especially important in commercial operations to reduce stress, as animal efficiency is the leading priority. In an effort to reduce stress on animals and improve welfare in livestock operations, several studies have evaluated common husbandry practices. One of the most widely studied practices is weaning, which encapsulates the process of removing the young from the dam. Several studies have evaluated the effects of weaning on beef cattle through a variety of behavioral …

Identifying The Impacts Of Land Use/Land Cover Changes On Ecosystem Services From A Geospatial Perspective In Albany County, Kyaw Khaung Thant Zin

Electronic Theses & Dissertations (2024 - present)

Ecosystem services encompass the broad array of direct and indirect advantages that people derive from nature and its ecosystems. Considering accelerating environmental change and degradation, recognizing the importance of these services is more crucial than ever, as they illustrate the many ways in which healthy ecosystems sustain human life. However, these services are diminishing at a rapid and unprecedented rate, raising global concern over both the transformations taking place and their root causes. Among the leading threats, land-use change stands out as a particularly significant one, influenced by a variety of driving factors. Albany County, New York, characterized by its …

Phylogenetic Analysis Of Metabolic Enzymes In Hypoxic/Anoxic Conditions In Cetaceans And Cancer, Samerna A. Masih

Electronic Theses & Dissertations (2024 - present)

Cancer cells often exhibit a Warburg-like metabolism, which includes increased fatty acid synthesis and storage that help them survive in hypoxic conditions. This shift is marked by the heightened synthesis and accumulation of fatty acids, acting as a survival mechanism in low-oxygen environments (Baumann et al., 2016). Interestingly, deep-diving whales may utilize a similar metabolic pathway to produce wax esters during their prolonged dives.

Our study focused on exploring the genetic and metabolic similarities between breast cancer cells and deep-diving whales, using computational analyses to investigate lipid metabolism genes. We looked for evolutionarily conserved variations that might reveal adaptive mechanisms …

Polygenic Risk Scores Of Grip Strength In Men And Women With Or At Risk For Hiv, Sreevidya Sadananda Sadasiva Rao

Electronic Theses & Dissertations (2024 - present)

Background: Adequate hand function among older adults is necessary for the successful completion of activities of daily living and can affect whether an older adult is able to live independently. Current research highlights grip strength, the strength people have in their hands, as a robust predictor of morbidity and mortality, and explores the decline in grip strength over time. A person’s family history and genes (DNA) affect how much grip strength they have. Previous studies have identified genes that affect grip strength, mainly in European ancestry populations. In this study, we examined whether these genetic elements predict grip strength in …

Dna And Protein Determinants For P63 Transcriptional Activity, Abigail Mccann

Electronic Theses & Dissertations (2024 - present)

The transcription factor p63 is critical for development of the epidermis and other epithelial-related structures. Mutations in the DNA-binding domain of p63 lead to a range of human developmental disorders characterized by symptoms such as ectrodactyly, painful skin dysplasia, and cleft lip and palate. The TP63 gene is also amplified in squamous cell carcinomas, contributing to tumor pathogenesis. While the importance of p63 in human health is well established, the mechanisms underlying its control of an essential gene network remain unclear. TP63 encodes multiple isoforms with distinct N- and C-terminal domains. The ∆Np63α isoform is directly linked to epidermal development …

Development Of Dna Nanoswitches With Aptamer Based Detection For Thrombin, Camryn A. Beckles

Electronic Theses & Dissertations (2024 - present)

Bio-transducers are devices capable of converting the binding signals from molecular recognition events into readable signals for analytical detection. There is a need for modular bio-transducers that can specifically detect a wide range of analytes using a unified readout technique, as this approach could dramatically reduce costs of healthcare diagnostics and environmental monitoring.

To create such a modular transducer, the molecular recognition properties of aptamers will be used and integrated with the already established biosensing capabilities of DNA nanoswitches that reconfigure their shape in the presence of their target molecule. In this design, the detector strands of the nanoswitch will …

Contactin2(Cntn2)Creert2 Mouse Line, A New Genetic Tool For Temporal Control To Trace The Developing Neurons In The Nose, Alexis M. Semon

Electronic Theses & Dissertations (2024 - present)

Neuronal migration is a vital process in embryonic development. In rodents, the very first neurons that originate from the olfactory placode migrate toward the developing brain as part of the migratory mass. This migratory mass includes Gonadotropin-releasing hormone-1 (GnRH-1) neurons, pioneer/terminal nerve (TN) neurons, and olfactory ensheathing cells—a type of glial cell.

Contactin-2 (Cntn2), also referred to as transiently expressed axonal surface glycoprotein-1 (TAG-1), belongs to the contactin family of proteins, which is part of the immunoglobulin superfamily of cell adhesion molecules. Cntn2 has been extensively utilized as a transient/stage-specific molecular marker for various neuronal populations, including commissural neurons of …

Long Oligos: Direct Chemical Synthesis Of Genes With Up To 1728 Nucleotides, Yipeng Yin, Reed Arneson, Yinan Yuan, Shiyue Fang

Michigan Tech Publications

The longest oligos that can be chemically synthesized are considered to be 200-mers. Here, we report direct synthesis of an 800-mer green fluorescent protein gene and a 1728-mer Φ29 DNA polymerase gene on an automated synthesizer. Key innovations that enabled this breakthrough include conducting the synthesis on a smooth surface rather than within the pores of traditional supports, and the use of the powerful catching-by-polymerization (CBP) method for isolating the full-length oligos from a complex mixture. Conducting synthesis on a smooth surface not only eliminated the steric hindrance that would otherwise prevent long oligo assembly, but also, surprisingly, drastically reduced …

The Effect Of Polyethylene Glycol Surface Density Of Dense Brush Gold Nanoparticles On Insulin Fibrillation, Ethan Patrick Grier

Graduate Theses/Dissertations

The development of various neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease has been linked to the fibrillation of various proteins within the brain. Parkinson’s disease is specifically linked to the fibrillation of α-Synuclein. During the fibrillation process, the proteins take the form of oligomers, and exposure to these oligomers has been linked to various cytotoxic and neurotoxic effects. Once the fibrillation process is complete, the fibrils made have been shown to be much less toxic than the oligomer stage. This fibrillation process is thermodynamically favorable and is largely irreversible, so one course of action for treatment of these …

Heterogeneous Clustering Of Multiomics Data For Breast Cancer Subgroup Classification And Detection, Joseph Pateras, Musaddiq Lodi, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

The rapid growth of diverse -omics datasets has made multiomics data integration crucial in cancer research. This study adapts the expectation–maximization routine for the joint latent variable modeling of multiomics patient profiles. By combining this approach with traditional biological feature selection methods, this study optimizes latent distribution, enabling efficient patient clustering from well-studied cancer types with reduced computational expense. The proposed optimization subroutines enhance survival analysis and improve runtime performance. This article presents a framework for distinguishing cancer subtypes and identifying potential biomarkers for breast cancer. Key insights into individual subtype expression and function were obtained through differentially expressed gene …

Foundation Models In Bioinformatics, Fei Guo, Renchu Guan, Yaohang Li, Qi Liu, Xiaowo Wang, Can Yang, Jianxin Wang

Computer Science Faculty Publications

With the adoption of foundation models (FMs), artificial intelligence (AI) has become increasingly significant in bioinformatics and has successfully addressed many historical challenges, such as pre-training frameworks, model evaluation and interpretability. FMs demonstrate notable proficiency in managing large-scale, unlabeled datasets, because experimental procedures are costly and labor intensive. In various downstream tasks, FMs have consistently achieved noteworthy results, demonstrating high levels of accuracy in representing biological entities. A new era in computational biology has been ushered in by the application of FMs, focusing on both general and specific biological issues. In this review, we introduce recent advancements in bioinformatics FMs …

A Data-Driven Sliding-Window Pairwise Comparative Approach For The Estimation Of Transmission Fitness Of Sars-Cov-2 Variants And The Construction Of The Evolution Fitness Landscape, Md Jubair Pantho, Richard Annan, Landen Alexander Bauder, Sophia Huang, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Estimating the transmission fitness of SARS-CoV-2 variants and understanding their evolutionary fitness trends are important for epidemiological forecasting. Existing methods are often constrained by their parametric natures and do not satisfactorily align with the observations during COVID-19. Here, we introduce a sliding-window data-driven pairwise comparison method, the differential population growth rate (DPGR) that uses viral strains as internal controls to mitigate sampling biases. DPGR is applicable in time windows in which the logarithmic ratio of two variant subpopulations is approximately linear. We apply DPGR to genomic surveillance data and focus on variants of concern (VOCs) in multiple countries and regions. …

Gramseq-Dta: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information, Kasul Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug–target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful representation of drugs and targets is crucial for accurate prediction. Using 1D string-based representations for drugs and targets is a common approach that has demonstrated good results in drug–target affinity prediction. However, these approach lacks information on the relative position of the atoms and bonds. To address this limitation, graph-based representations have been used to some extent. However, solely considering the structural aspect of drugs and targets may be insufficient for accurate DTA prediction. Integrating the functional aspect of these drugs at the genetic level can enhance …

Benchmarking Batch-Effect Correction Methods Towards The Construction Of A Triple-Negative Breast Cancer Cell Atlas, Peter Scheible, Amy H. Tang, Jing He, Jiangwen Sun

Computer Science Faculty Publications

Triple-negative breast cancer (TNBC) requires detailed cellular mapping given its aggressive nature, immense tumor heterogeneity and genetic diversity. We integrated 156,794 cells from six scRNA-seq datasets—including tumors, metastases, and cell lines—to build a TNBC scRNA cell atlas, focusing on batch effect mitigation while maintaining biological and molecular details. Preprocessing f ilters noise, normalizes data, and leverages PCA for integration readiness. We utilized scANVI, a semi-supervised tool, to align datasets, preserving TNBC’s complex tumor heterogeneity via marker annotations [1]. UMAPs demonstrate biological clustering in integrated data, contrasted with datasetdriven unintegrated patterns. Assessments verifying effective batch correction. This method aligns with NASA’s …

Cath-Ddg: Towards Robust Mutation Effect Prediction On Protein-Protein Interactions Out Of Cath Homologous Superfamily, Guanglei Yu, Xuehua Bi, Teng Ma, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Protein-protein interactions (PPIs) are fundamental aspects in understanding biological processes. Accurately predicting the effects of mutations on PPIs remains a critical requirement for drug design and disease mechanistic studies. Recently, deep learning models using protein 3D structures have become predominant for predicting mutation effects. However, significant challenges remain in practical applications, in part due to the considerable disparity in generalization capabilities between easy and hard mutations. Specifically, a hard mutation is defined as one with its maximum TM-score < 0.6 when compared to the training set. Additionally, compared to physics-based approaches, deep learning models may overestimate performance due to potential data leakage.

Results: We propose new training/test splits that mitigate data leakage according to the CATH homologous superfamily. Under the constraints of physical …

A Survey On Deep Learning For Drug-Target Binding Prediction: Models, Benchmarks, Evaluation, And Case Studies, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Conventional drug discovery is expensive, time-consuming, and prone to failure. Artificial intelligence has become a potent substitute over the last decade, providing strong answers to challenging biological issues in this field. Among these difficulties, drug-target binding (DTB) is a key component of drug discovery techniques. In this context, drug-target affinity and drug–target interaction are complementary and essential frameworks that work together to improve our comprehension of DTB dynamics. In this work, we thoroughly analyze the most recent deep learning models, popular benchmark datasets, and assessment metrics for DTB prediction. We look at the paradigm shift in the development of drug …

Deepssetracer 2.0: Improved Deep Learning Model Performance For Protein Secondary Structure Segmentation From Cryo-Em Maps, Bryan Hawickhorst, Thu Nguyen, Willy Wriggers, Jiangwen Sun, Jing He

Computer Science Faculty Publications

DeepSSETracer is a method for segmenting protein secondary structure from medium-resolution (5-10Å) cryogenic electron microscopy (cryo-EM) density maps. We conducted experiments and ablation studies to examine the effects of normalization methods, max-pooling, activation functions, and loss calculation region on DeepSSETracer. By combining multiple technical improvements, the performance of the new version, DeepSSETracer 2.0, was significantly enhanced compared to DeepSSETracer 1.1. On a set of 77 test cases, the weighted average per-voxel F1 score increased from 62.1% to 70.3% for helix detection, and from 47.8% to 62.5% for β-sheet detection. While each of the five modifications in the network enhanced the …

Benchmarking And Improving Foundation Model Dietary Estimates From Meal Images, Yongcheng Mu, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Accurate quantifying dietary contents, such as calories, proteins, carbohydrates, and fats, from an image of a meal plate is vital for managing diabetes. Recently, Large Multimodal Models (LMMs) have excelled in complex vision-language tasks due to their use of very large, highly diverse data. This study benchmarked the use of seven LMMs that include full and lightweight models of GPT, Gemini, and Llama for nutrition estimation based on Google's Nutrition5k dataset and our own phone-collected DonateAndLearn dataset. We analyzed the performance of LMMs and the RGB-D fusion model, in which the RGB-D model was specifically trained using Nutrition5k data. On …

The Development And Validation Of A Dimensional Childhood Adversity Measure, Angelina Pei-Tzu Tsai, Peter F. Halpin, Lucy Lurie, Meredith Gruhn, Maya L. Rosen, Donald H. Baucom, Michael B. Sarabosing, Sneha Sai Boda, Katie A. Mclaughlin, Margaret A. Sheridan

Neuroscience: Faculty Publications

Research on the developmental consequences of early adversity has grown rapidly, yet measures of childhood adversity have not kept pace with evolving theoretical models. Existing measures often lack comprehensive assessment and psychometric evidence. This study addresses these gaps by developing the Deprivation and Threat—Adult Self-report (DT-AS) measure, a psychometrically sound scale assessing childhood threat and deprivation exposure, evaluated in young adults. Psychometric analysis was performed in waves on a total sample of N=796 participants. Pilot data (n₁=210; n₂=208) were analyzed using Classical Test Theory (CTT) and Item Response Theory (IRT) to refine item selection andoptimize response …

A Method For Empirically Assessing Small Area Estimators Via Bootstrap-Weighted K-Nearest-Neighbor Artificial Populations, With Applications To Forest Inventory, Grayson W. White, Jerzy Wieczorek, Zachariah W. Cody, Emily X. Tan, Jacqueline O. Chistolini, Kelly S. Mcconville, Tracey S. Frescino, Gretchen G. Moisen

Faculty Journal Articles

National Forest Inventories monitor forest attributes across a variety of spatial and temporal scales in a given country. Increased interest in reporting and management at smaller scales has driven National Forest Inventories to investigate and adopt small area estimation (SAE) due to the promise of increased precision at these scales. However, comparing and evaluating SAE models for a given application is inherently difficult. Typically, many areas lack enough data to check unit-level modeling assumptions or to assess unit-level predictions empirically; and no ground truth is available for checking area-level estimates. Design-based simulation from artificial populations can help with each of …

Using Abandoned Model Systems And Historical Literature To Teach Modern Concepts And Techniques In Cell Biology, Leocadia V. Paliulis, Gunar Fabig, Sandra Stein, Silke Tulok, Anja Nobst, Chukwuebuka William Okafornta, Thomas Kurth, Thomas Müller-Reichert

Faculty Journal Articles

The cell biology literature of the 19th and early-to-mid 20th centuries is full of the seminal works that were critical for the development of our current understanding of biology but were done using model systems that are no longer commonly used. We argue that these historical papers are ideal for the development of course-based research experiences, both because the background work is conceptually and technically straightforward, and because the study of the abandoned systems stopped prior to the availability of modern techniques. These abandoned systems offer outstanding opportunities for teaching modern light and electron microscopy techniques, thus providing students with …

Programming Carcass Composition Through Gestational Nutrition, Sydni Elise Borders

Electronic Theses and Dissertations

The objective of this study was to evaluate the influence of maternal nutrient restriction during mid-gestation on the performance of the dam, feeding performance, carcass composition, and genetic expression in the offspring. Cows (n = 46) were randomly assigned to one of two treatments based on global nutrient intake: 1) fed to achieve and/or maintain a BCS of 5 or 6 (Positive Energy Status [PES]; n = 24) or 2) fed to lose one BCS during 99 days of mid-gestation (Negative Energy Status [NES]; n = 22). Cows in NES had greater decreases (P < 0.05) in body fat stores and muscle mass, elevated NEFA concentrations, and displayed decreased (P < 0.05) DMI, HP, and GHG emissions. There were no differences in milk components or volume produced between treatments (P > 0.05). There were no differences in …

Evaluation Of Strip-Tillage And Banded Phosphorus And Potassium Fertilizer For Corn Production In Eastern South Dakota, Charles N. Tesch

Electronic Theses and Dissertations

In South Dakota, the adoption of no-till and other conservation tillage practices has grown in recent years. However, conventional tillage is still a common practice in the eastern third of the state, negatively affecting soil health and the environment. Strip-tillage has gained interest in this region as a way to transition to conservation tillage while retaining some benefits of conventional tillage. Strip-tillage also provides the ability to subsurface band nutrients, particularly phosphorus (P) and potassium (K) fertilizers within the tillage strip, potentially improving nutrient accessibility and recovery while reducing environmental risks. This study aimed to investigate (i) the effects of …

Impact Of Natural Feed Additives And Monensin Sodium On Growth Performance In Feedlot Cattle, Thiago Lauro Maia Ribeiro

Electronic Theses and Dissertations

The objective of this dissertation was to investigate how phytogenic feed additives and a pulse feeding monensin sodium strategy would affect growth performance in the receiving and finishing feedlot phases. Three randomized complete block design feedlot experiments and one pooled analysis were conducted to determine the effects of the feed additives and management strategies used in newly weaned and finishing beef cattle. The objective of these experiments were 1) determine if a blend of capsicum oleoresin, clove essential oil, and garlic essential oil (CCG) influences cattle performance, sera metabolites or health outcomes during the feedlot receiving phase; 2) determine if …

Biotransformation Of Camelina Meal Via Pretreatment And Fermentation For Functional And Nutritional Upgrading, Ram Kumar Bhattarai

Electronic Theses and Dissertations

Camelina sativa, an oilseed crop of the Brassicaceae family, has seen increased cultivation in North America in response to the rising demand for biofuels over the past two decades. With this growth, camelina meal, a byproduct of oil extraction, has emerged as a promising yet underutilized resource, particularly for applications in animal nutrition. This study aimed to evaluate the potential of camelina meal as a substrate for submerged fungal fermentation and to examine how this bioconversion affects its physicochemical and nutritional properties. The influence of mild pretreatments (unwashed, washed only, and washed/dried and ground) on fermentation outcomes was also assessed. …

One Rung At A Time: Climbing The Ladder Toward Aquatic Connectivity In Eastern South Dakota, Evan Spencer

Electronic Theses and Dissertations

Roads and streams are synonymous with their connection to movement, the acquisition of resources, and as pathways to new opportunities. However, the factors that define good roads and ecologically connected streams are rarely without conflict. Road infrastructure at stream-road crossings has the potential to fragment stream networks. Tube culverts, where streams pass under the road through metal pipes, are particularly concerning for stream connectivity. Undersized, aging, or inappropriately installed culverts can develop vertical drops at the outflow due to high velocities and stream bed scouring. The outlet drop can function as a barrier, preventing the upstream movement of fish. Due …