Digital Commons Network^™

Characterization Of Syntaxin 18 In Peregrinus Maidis And In Vitro Dsrna Synthesis For Potential Rnai-Mediated Control Of Maize Mosaic Alphanucleorhabdovirus (Mmv) Transmission, Hannah Corinne T. Cantaros, Charlene Niebres, Ruth Alessandra Banasihan, Argel L. Arenas, Karen B. Alviar

The Philippine Agricultural Scientist

The plant virus known as Maize mosaic alphanucleorhabdovirus (MMV) is a persistent, propagative pathogen transmitted by the corn planthopper Peregrinus maidis Ashmead (Hemiptera: Delphacidae). It is the causal agent for a mosaic disease that can cause significant loss in corn yield. Currently, disease management is focused on controlling its insect vector population. The molecular mechanisms of virus transmission by the insect vector are not yet fully understood. Previously, P. maidis syntaxin 18 (PmSTX18) was identified as a receptor for MMV. PmSTX18 interacts with the viral glycoprotein and potentially facilitates MMV recognition and entry into the vector, enabling virus …

Beta-Casomorphin7 Detection In Milk From Dairy Species And Beta-Casein Protein Characterization In Cattle From Selected Provinces In The Philippines, Angelo M. Tapia, Maria Cynthia R. Oliveros, Queennie Hope D. Umipon, Hazel Marie E. Nicolas, Naoya Ogawa, Yasuyuki Kitaura

The Philippine Agricultural Scientist

This study was conducted to detect β-casomorphin7 (BCM7) in dairy animals and to characterize the β-casein (CSN2) genotype among dairy cattle breeds in the Philippines. A total of 59 dairy animals, composed of 35 cattle (12 Holstein Sahiwal [HS16 Jersey × Holstein Friesian [JHF], and 7 Siquijor Native Cattle [SNC]), 15 buffaloes (Bulgarian Murrah and Brazilian Murrah), and 9 goats (Saanen and Anglo-Nubian) were collected with milk samples. Milk protein was extracted and subjected to high-performance liquid chromatography–tandem mass spectrometry (HPLC–MS/MS) analysis after stimulated gastrointestinal digestion. BCM7 was detected in cattle with an average concentration of 0.322 + 0.080, whereas …

Characterization Of Syntaxin 18 In Peregrinus Maidis And In Vitro Dsrna Synthesis For Potential Rnai-Mediated Control Of Maize Mosaic Alphanucleorhabdovirus (Mmv) Transmission, Hannah Corinne T. Cantaros, Charlene Niebres, Ruth Alessandra Banasihan, Argel L. Arenas, Karen B. Alviar

The Philippine Agricultural Scientist

The plant virus known as Maize mosaic alphanucleorhabdovirus (MMV) is a persistent, propagative pathogen transmitted by the corn planthopper Peregrinus maidis Ashmead (Hemiptera: Delphacidae). It is the causal agent for a mosaic disease that can cause significant loss in corn yield. Currently, disease management is focused on controlling its insect vector population. The molecular mechanisms of virus transmission by the insect vector are not yet fully understood. Previously, P. maidis syntaxin 18 (PmSTX18) was identified as a receptor for MMV. PmSTX18 interacts with the viral glycoprotein and potentially facilitates MMV recognition and entry into the vector, enabling virus …

Farmers’ Perspectives Toward Organizing A Cotton Producers’ Union In Şanlıurfa, Türkiye, Ismail Efe, Mehmet Cançelik, Mehmet Reşit Sevinç

The Philippine Agricultural Scientist

This study examines the attitudes of cotton producers in Şanlıurfa toward establishing a producers’ union to address structural challenges in Türkiye’s leading cotton production region. Şanlıurfa contributes approximately 40% of Türkiye’s cotton output, yet lacks organizational frameworks for its nearly 20,000 producers who face significant risks including price volatility, high input costs, and limited market access. The research utilized primary data collected through face-to-face surveys with 165 cotton producers selected via convenience sampling. Data analysis employed descriptive statistics, exploratory factor analysis using Principal Component Analysis (PCA), independent samples t-tests, and one-way ANOVA. The findings revealed a significant paradox: while …

A Critical Review Of Statistical, Signal Processing And Machine Learning Methods For Continuous And High-Frequency Water Quality Data Improvement, A.T. Badrudeen, D. Sahoo, Calvin Sawyer, Jeremy Pike, R.D. Haramel

Publications

In the digital water world, high-frequency water quality monitoring from sensors is crucial for capturing rapid changes, especially during storm events or discharge fluctuations, in which important signals can occur at sub-hourly intervals. These signals are represented in a time series and can sometimes be irregular, noisy, and prone to missing values or errors due to buried conditions, sediment interference, and signal loss. The fine resolution of reporting also increases the risk of sensor errors and data loss, necessitating effective correction methods to ensure the accuracy and usability of the data. This literature review investigates the current state of time …

Development Of Antimicrobial Food Packaging Films Based On Electrospun Polycaprolactone Nanofibers Encapsulating Thyme Oil Nanoemulsions, Mahfuzur Rahman, Abdus Sobhan, Hari Kotturi, Sarder Sadique, Morshed Khandaker

Publications

This study developed and characterized a novel antimicrobial food packaging film fabricated from electrospun polycaprolactone (PCL) nanofibers incorporated with thyme oil nanoemulsions (TONEs). The concentration of TONEs in the film ranged from 2.5 to 15 % (v/v). The physicochemical properties, including pH, viscosity, and water absorption of the film were evaluated, with results showing favorable values (TONEs pH ≈ 5.46, viscosity ≈ 0.26 cP, contact angle ≈ 109-127⁰ and water absorption ≈ 21.47 %). The microstructure of the film was observed using scanning electron microscopy (SEM), which revealed the uniform dispersion of TONEs within the PCL nanofibrous matrix, with …

The Application, Construction, And Validation Of Hidden Markov Model Profiles For Carbonic Anhydrase Enzymes, Samuel F. Kaplan

Master's Theses

Carbonic anhydrases (CAs) catalyze the reversible hydration of CO2 and have evolved independently at least eight times, resulting in structurally distinct enzyme families (α, β, γ, δ, ζ, η, θ, ι). Traditional sequence alignment methods struggle to classify these convergently evolved proteins because their sequential similarity does not reliably indicate functional or evolutionary relationships. Many CA sequences in public databases are annotated generically without family assignments, and prior computational approaches have focused predominantly on the three well characterized families (α, β, γ), leaving the five recently discovered classes without robust classification tools. Family level assignment is often a prerequisite for …

Associations Between Nutrition-Related Chronic Disease And Food Insecurity: Data From The California State University, Elizabeth Ochoa

Master's Theses

Food insecurity is a growing public health concern consistently associated with elevated rates of nutrition-related chronic disease (NRCD) across the general population. Despite young adulthood being a critical window for dietary pattern formation, this relationship remains minimally explored among college students. This thesis examined associations between food insecurity and NRCD diagnosis, including hypertension, diabetes, hyperlipidemia, and cardiovascular disease, among undergraduate students across the California State University (CSU) system. Cross-sectional data were drawn from the Spring 2021 CSU National College Health Assessment, administered across all 23 campuses. After exclusions, the analytical sample comprised 13,762 students. Bivariate analyses assessed relationships between key …

Molecular Techniques: A Project-Based Undergraduate Laboratory, Ming-Mei Chang

Milne Open Textbooks

This book can be read online at: milnepublishing.geneseo.edu/molecular-techniques

Molecular biology, examining the structures and functions of nucleic acids and proteins, is crucial to advancing biological science and improving human life, particularly in agriculture and medicine. Advances in the field can transform a crop to resist disease or uncover clues to fight illness by manipulating DNA. Techniques for molecular biology research and applications have advanced rapidly over the past decades, and undergraduates need hands-on experiences in this vital field of science. This text provides a structured approach to learning and practicing those techniques, covering DNA, RNA, and protein across five modules …

Wayne E. Sabbe Arkansas Soil Fertility Studies 2025, Nathan A. Slaton

Arkansas Agricultural Experiment Station Research Series

Rapid technological changes in crop management and production require that the research efforts be presented in an expeditious manner. The contributions of soil fertility and fertilizers are major production factors in all Arkansas crops. The studies described within will allow producers to compare their practices with the university’s research efforts. Additionally, soil-test data and fertilizer sales are presented to allow comparisons among years, crops, and other areas within Arkansas.

Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Faculty, Staff and Student Publications

With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …

Physical Activity In Osteosarcoma Patients During And Post Therapy: A Single Site Prospective Observational Study, Elysia R Cohen, Clark Andersen, Karen Moody, Maria C Swartz, Michael C Robertson, Alakh Rajan, Theresa Honey, Sandra Lugo, Grace Waterman, Keri Schadler

Faculty, Staff and Student Publications

PURPOSE: Osteosarcoma is the most common primary bone tumor in childhood and adolescence. Many patients face long-term impairments in their mobility and function after treatment, leading to a decrease in their quality of life. Exercise has been shown to improve functional recovery and improve quality of life in patients with cancer, though data specific to children with osteosarcoma are sparse. Exercise has also been shown to be feasible in patients undergoing chemotherapy, with numerous potential benefits to health and quality of life. To design the most effective exercise interventions for children and adolescents with osteosarcoma, we must first understand the …

An Adp Getaway Service, Not An Atp Tank: Insights Into The Phosphagen System In Neurons, Madeline P Marques, Kartik Venkatachalam

Faculty, Staff and Student Publications

No abstract provided.

Clemastine Ameliorates Cognitive Deficits In An Experimental Rat Model Of Chronic Cerebral Hypoperfusion, Xuemei Zong, Zhihai Huang, Fanfei Kong, Yu Feng, Yulan Zhang, Peibin Zou, Hung Wen Lin, David C Hess, Quanguang Zhang

Faculty, Staff and Student Publications

Chronic cerebral hypoperfusion (CCH) profoundly affects patient well-being and has been proposed as a risk factor for cognitive impairment and dementia. However, due to the limited understanding of the pathophysiology of CCH, there are currently no effective preventive or therapeutic approaches for CCH-associated cognitive impairment. Therefore, identifying new targets for CCH is essential to bridge this knowledge gap. In this study, we sought to determine whether enhanced myelination could prevent cognitive impairment associated with CCH. Experimental CCH was induced via bilateral common carotid artery occlusion (BCCAO) in rats, and clemastine, a well-established pro-myelinating agent, was administered to boost myelin renewal. …

Shiny-Magec: A Bayesian R Shiny Application For Meta-Analysis Of Censored Adverse Events, Zihan Zhou, Zizhong Tian, Christine Peterson, Le Bao, Shouhao Zhou

Faculty, Staff and Student Publications

Accurate assessment of adverse event (AE) incidence is critical in clinical research for drug safety. While meta-analysis serves as an essential tool to comprehensively synthesize the evidence across multiple studies, incomplete AE reporting in clinical trials remains a persistent challenge. In particular, AEs occurring below study-specific reporting thresholds are often omitted from publications, leading to left-censored data. Failure to account for these censored AE counts can result in biased AE incidence estimates. We present an R Shiny application that implements a Bayesian meta-analysis model specifically designed to incorporate censored AE data into the estimation process. This interactive tool provides a …

Barriers To Occupational And Physical Therapy Utilization For Children With Cancer, Maria C Swartz, Shiming Zhang, Donna Kelly, Clark R Andersen, Keri Schadler, Alakh P Rajan, Eduardo Gonzalez Villarreal, Stephanie J Wells, Amy Heaton, Karen Moody

Faculty, Staff and Student Publications

Introduction: Occupational and physical therapy (OT/PT) referrals and utilization barriers for childhood cancer patients have not been adequately examined. The current study investigated factors influencing referrals to and utilization of OT/PT services among children with cancer at an NIH-designated cancer center.

Methods: This retrospective cohort study included pediatric cancer patients (up to 18.99 years) presenting to the center over a 33.5-month period. Variables that could influence referrals to OT/PT were extracted from the electronic medical record (EMR) including OT and PT referrals (inpatient and outpatient), OT and PT consult completion, age at diagnosis, cancer type, sex, race/ethnicity, insurance, cancer treatment, …

Optimizing Feasibility And Acceptability Of An Online Expressive Writing Intervention For Survivors Of Adolescent And Young Adult Cancer: A Pilot Randomized Trial Of Iterative Modifications And Outcomes, Eunju Choi, Yusi Aveva Xu, Celia Cy Wong-Meli, Michael E Roth, Yisheng Li, Qian Lu

Faculty, Staff and Student Publications

Objective: To evaluate the feasibility of an online expressive writing (EW) intervention for survivors of adolescent and young adult (AYA) cancer and determine whether iterative, theory-driven modifications can enhance response, adherence, and completion rates.

Methods: In this randomized pilot trial, survivors of AYA cancer were recruited through a hospital-based AYA oncology clinic and an online community. Forty participants were randomly assigned to the EW intervention or control group. To improve on lower-than-expected adherence and completion rates in a previous cohort, the protocol was iteratively revised using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS). Modifications included …

A Comprehensive Biomechanical Material Characterization Of The Human Breast Fibro-Structural Support System, Aroj Bhattarai, Gregory P Reece, Kristy K Brock, Krishnaswamy Ravi-Chandar

Faculty, Staff and Student Publications

Breast surgery for aesthetic purposes, such as breast augmentation or breast reduction, and breast reconstruction after cancer treatment require an accurate structural (anatomical) and mechanical (functional) understanding of the breast components, including the fascial-ligamentous support system of the breast, to achieve optimal results. This paper aims to provide a comprehensive description of the mechanical behavior of the ligamentous and fascial connective tissues of the human female breast. Fasciae and ligaments obtained from 17 patients between 35 and 85 years of age who were undergoing mastectomy and three female cadavers were tested. Uniaxial tensile tests were conducted, and three constitutive models …

Pharmacokinetic Modeling Strategies For Dynamic Hyperpolarized Urea Imaging, Keith A Michel, Collin J Harlan, Christopher M Walker, Matthew E Merritt, Yunyun Chen, Stephen Y Lai, James A Bankson

Faculty, Staff and Student Publications

Purpose: To evaluate pharmacokinetic modeling methods for quantification of tissue perfusion/permeability with hyperpolarized 13C urea.

Methods: Three models for quantitative analysis of dynamic HP urea imaging data were proposed and evaluated in numerical simulations and a thyroid cancer mouse model. A multicompartment model resembling the extended Tofts model for DCE-MRI (Model I) and two simplified models were used. The simplified models each eliminate a volume parameter representing vascular (Model II) or impermeable cellular space (Model III). Signal curves were generated from Model I, and models were fit to these synthetic data to quantify the effects of acquisition settings, bias in …

Spatial Variability Of Nitrates And Nitrogen Mineralization Kinetics And Their Effects In Long-Term Tillage Systems, Bibash Rokaya

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

Nitrogen (N) and water management are essential for water quality protection and crop production. However, soil N and water are spatiotemporally variable. Soil water spatial dependencies are described in the literature with known associations with preferential flows among other factors. In contrast, a knowledge gap exists on the spatial dependence of soil N mineralization kinetics. We hypothesize that soil N mineralization kinetics and soil water have distinct and cross-correlated spatial characteristics among soil management practices and climatic regions. For the field study, we measured soil-N mineralization kinetics, volumetric water content (VWC), and a suite of soil properties along ~70 m …

Signatures Of The Anthropocene: Population Genomic Structure Detected In Pennsylvania Coyotes, Craig A. Marshall, Julia Halo, Kyle Van Why, Yeraldi Loera, Stavi R. Tennenbaum, Casey Burton, Ariana Di Landro, Dominic Dominguez, Daniel Duncan, Madison Machado, Catalina Posada, Stephen J. Gaughran, Madison Lichak, Kristin Brzeski, Elizabeth Heppenheimer, Bridgett Vonholdt

Michigan Tech Publications

Coyotes (Canis latrans) expanded across eastern North America in the last century and are ecological generalists capable of thriving across diverse habitats. Broad genetic surveillance has reported little spatial genetic patterning for this highly dispersive species. Here, we explore the genome-wide signatures of spatial patterns found in a 10-year study of 1199 coyotes from northeastern United States, with a temporal analysis of Pennsylvania coyotes. Despite their broad dispersal capability, we detected subtle but significant population structure, with two genetic clusters that have a weak clinal transition zone. This partitioning aligned qualitatively with patterns of human population density and activity. We …

Analysis Of Patients With Monocytic And Monocytic-Like Acute Myeloid Leukemia, Including Aml-M4 And Aml-M5, Treated With Venetoclax Plus Azacitidine, Marina Konopleva, Courtney D Dinardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A Pollyea

Faculty, Staff and Student Publications

No abstract provided.

Impact Of Mutational Landscape And Burden On Rbc Transfusion Response In Patients With Lower-Risk Myelodysplastic Syndromes (Lr-Mds) In The Commands Study, Rami S Komrokji, Sheida Hayati, Manuel Ugidos, Guillermo Garcia-Manero, Matteo Giovanni Della Porta, Amer M Zeidan, Valeria Santini, Uwe Platzbecker, Anita K Gandhi, Rajasekhar N V S Suragani

Faculty, Staff and Student Publications

The COMMANDS trial established luspatercept as a first‐line treatment for anemia in transfusion‐dependent lower‐risk (LR) myelodysplastic syndromes (MDS). Here we report red blood cell (RBC) transfusion response analysis based on somatic mutations profile and disease risk for patients treated with luspatercept or epoetin alfa in the COMMANDS trial. Of 350 evaluable patients, 238 (68.0%) had MDS with multiple lineage dysplasia and ring sideroblasts (RS) according to World Health Organization 2016 criteria, and 320 (91.4%) had somatic mutations in ≥ 1 gene (median, 2) with median variant allele frequencies (VAF) of 2%–59%. Mutation profiles were similar in the treatment groups. Luspatercept …

Widespread Decline In The Abundance Of Sea Cucumber Assemblages In Atolls Of The Protected Rowley Shoals, Northwestern Australia, Inês Leal, Claire L. Ross, Simone Strydom, Richard D. Evans, Thomas H. Holmes, Graham J. Edgar, John K. Keesing

Research outputs 2022 to 2026

The Rowley Shoals, off northwestern Australia, are renowned as a biodiversity hotspot. This remote system comprises three atolls, Clerke, Imperieuse and Mermaid, which in recent years have been increasingly targeted by illegal fishing, a pressure rising across the Indo-Pacific. The objective of this study was to quantify recent changes in sea cucumber assemblages across the Rowley Shoals. We surveyed nine sea cucumber species at monitoring sites in 2018 and 2023 to assess changes in their abundance. Total assemblage densities declined significantly across all atolls and habitats. Documented seizures of illegally harvested holothurians by the Australian Fisheries Management Authority over this …

Comparing Methods For Measuring 210po In Seawater: Fe(Oh)3 Can Extract Less 210po Than Co-Apdc And Thus Overestimate Poc Export Fluxes, Harold Carrasco, J. Kirk Cochran, Beat Gasser, Inés Sanz-Alvarez, Montserrat Roca-Martí, Christina Heilbrun, Nicholas S. Fisher, Jana Friedrich, Pere Masqué

Research outputs 2022 to 2026

Over six decades of research, two methods have been used to extract the natural radionuclides ²¹⁰Pb and ²¹⁰Po from seawater- the precipitation of iron hydroxide (Fe(OH)3) and coagulation of cobalt ammonium pyrrolidine dithiocarbamate (Co-APDC). Although the two methods had been intercompared for ²¹⁰Pb and shown to agree, they were never intercompared for ²¹⁰Po until Roca-Martí et al. (2021) , in which only unfiltered samples were used. Here we document that Fe(OH)3 may be less effective in extracting ²¹⁰Po from a seawater sample than Co-APDC. We hypothesize that cycling of ²¹⁰Po through the marine food …

Mango Fruit Set And Drop: A Comprehensive Review, Haider Ali, Zora Singh, Mekhala Dinushi Kananke Vithana, Jugpreet Singh, Alan Niscioli, Eben Afrifa-Yamoah, Andrew Woodward, Mahmood Ul Hasan, Aman Ullah Malik

Research outputs 2022 to 2026

Insufficient fruit set and excessive fruit drop are key challenges faced within the global mango (Mangifera indica L.) industry, affecting yield consistency and grower’s income as well as adversely impacting global mango trade. Rising temperature regimes and extreme weather events at critical stages of fruit set and development are among the primary driving factors behind these extremely devastating issues in the mango industry. Scientific interventions aimed at regulating fruit set and drop have become increasingly important. Inadequate pollination and fertilisation can also cause poor fruit set, whilst self-incompatibility and stenospermocarpy can cause fruit drop in mango. Mango fruit set and …

Optimized Deep Learning Framework With H2o For Lung Cancer Prediction, Walaa Hassan Ibrahim, Mohamed S. Saraya, Sally M. Elghamrawy, Ali I. Eldesouky

Mansoura Engineering Journal

The automatic diagnosis of lung cancer using chest X-ray (CXR) images has significantly advanced with progress in computing, machine learning, and deep learning. However, detecting lesions and nodules remains challenging due to CXR limitations. Early lung cancer detection is critical for successful treatment, but current AI algorithms often rely on large annotated datasets, which are not always available. To address this, a novel multi-classification deep learning framework is proposed that combines CXR and CT images. This approach leverages the detailed feature detection capabilities of CT scans alongside the complementary views from CXRs, improving early-stage lung cancer detection and classification precision. …

Physiological And Neurological Impact Of Biophilic Design In Architectural Design Studios: A Case Study Of King Salman International University, Islam Ashraf Mohamed, Alaa El-Eishy, Marwa A. Soliman

Mansoura Engineering Journal

Biophilic design integrates nature into architecture to enrich sensory and cognitive experiences, enhance psychological well-being, and improve performance. This study explores its physiological and neural effects in design studios at King Salman International University through an experimental methodology combining theoretical review and lab-based investigation. Tools included electrocardiography (ECG) for heart rate variability (HRV), eye-tracking for visual attention, and the Self-Assessment Manikin (SAM) for emotional evaluation. Nine participants viewed five digital architectural scenes with varying biophilic integration. Direct nature connections elicited greater visual attention, pleasure, and perceived control, indicating higher engagement and relaxation.  A scene lacking biophilic elements led to reduced …

Effect Of Hdl Disk And Ldl Dimer Presence On Lipoprotein Particle Number Determination And Subclassification, Zsuzsanna Kuklenyik, Anna A. Ivanova, Lauren E. Drinkard, David M. Schieltz, Jeffrey I. Jones, Kevin Bierbaum, Christopher A. Toth, Michael S. Gardner, Bryan A. Parks, Michael Andrews, Jennifer D. Kusovschi, Jack A. Sultan, Antony Lehtikoski, Jon C. Rees, Wanda I. Santana, Victoria Connor, Eric Leszynski, Robert W. Mcgarrah Iii, Mark A. Sarzynski Facsm, William E. Kraus, John R. Barr

Faculty Publications

High-density and low-density lipoproteins (HDL and LDL) are established analytical targets for diagnosis and risk stratification of numerous chronic diseases. This study investigates potential sources of bias in lipoprotein particle counting (HDL-P and LDL-P), focusing on the most atheroprotective small-HDL and most pro-atherogenic small-LDL. Plasma samples were fractionated using asymmetric-flow field-flow fractionation (AF4), coupled with hydrodynamic size measurement and comprehensive liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of each fraction. Concentration-size profiles were deconvoluted into 10 HDL and 8 LDL Gaussian subspecies. Molecular volume ratios were used to evaluate proposed particle models, providing evidence for the presence of s-HDL disk and …

Bone Marrow Endosteum Houses Hedgehog-Susceptible Dlx5-Expressing Osteoblast Precursor Cells, Keita Kondo, Yuki Matsushita, Shion Orikasa, Yuta Nakai, Aiko Kuroda, Shinsuke Ohba, Wanida Ono, Noriaki Ono

Faculty, Staff and Student Publications

The bone marrow endosteum provides a robust source of bone-making osteoblasts by housing various types of osteoblast precursor cells, including endosteal stem cells expressing fibroblast growth factor receptor 3 (Fgfr3) and their downstream progenitor cell populations. In fetal bone development, Dlx5 marks early perichondrial cells that populate the diaphyseal bone and marrow stroma in the postnatal stages. However, the location of Dlx5-expressing cells in the postnatal bone marrow and how they contribute to osteogenesis remain undefined. Here, we show that Dlx5