Life Sciences Commons^™

Chronic Stress-Induced Neuroinflammation: Relevance Of Rodent Models To Human Disease., Abigail G White, Elias Elias, Andrea Orozco, Shivon A Robinson, Melissa T Manners

Faculty Scholarship for the College of Science & Mathematics

The brain is the central organ of adaptation to stress because it perceives and determines threats that induce behavioral, physiological, and molecular responses. In humans, chronic stress manifests as an enduring consistent feeling of pressure and being overwhelmed for an extended duration. This can result in a persistent proinflammatory response in the peripheral and central nervous system (CNS), resulting in cellular, physiological, and behavioral effects. Compounding stressors may increase the risk of chronic-stress-induced inflammation, which can yield serious health consequences, including mental health disorders. This review summarizes the current knowledge surrounding the neuroinflammatory response in rodent models of chronic stress-a …

Mean Flow And Dispersion In The Western Mediterranean Sea From Drifter Observations, Helga Huntley, James Turbett, A.D. Kirwan, Jr., Pierre-Marie Poulain

Faculty Scholarship for the College of Science & Mathematics

Currents in the ocean distribute water masses and everything floating in them. To understand how fast the water (and its flotsam) travels and how effectively it mixes, we need to study the flow statistics. There are two types of measurements of ocean currents: Eulerian measurements that look at how the ocean velocities change at a stationary point on the Earth; and Lagrangian measurements that follow a water mass. Dispersion and mixing is generally best captured by Lagrangian measurements. At the submesoscale (~10-1 – 10 km), the observational tool of choice are drifters, or floating buoys, tethered to a drogue that …

Interest In An Instagram-Delivered Gestational Weight Gain Intervention Among Pregnant Women With Pre-Pregnancy Overweight Or Obesity, Molly E. Waring, Danielle Arigo, Lauren R. Rudin, Sherry L. Pogoto, Tiffany A. Moore Simas, Alexa B. Horkachuck

Faculty Scholarship for the College of Science & Mathematics

Background: Barriers to attending in-person lifestyle interventions are common during pregnancy. The majority of young adults use Instagram, and pregnancy-related content abounds on this social media platform. The aims of this study were to assess interest in an Instagram-delivered gestational weight gain (GWG) intervention, examine characteristics associated with program interest, describe interest in specific program components, and to explore perceived advantages of and concerns about the proposed intervention. Methods: English-speaking pregnant women with pre-pregnancy overweight or obesity in the US who use Instagram completed a cross-sectional online survey (N=229). Participants reported interest in a proposed Instagram-delivered GWG intervention (very/quite a …

Novel Inhibitors To Mmpl3 Transporter Of Mycobacterium Tuberculosis By Structure-Based High-Throughput Virtual Screening And Molecular Dynamics Simulations, Hetanshi Choksi, Justin Carbone, Nicholas J. Paradis, Lucas Bennett, Candice Bui-Linh, Chun Wu

Faculty Scholarship for the College of Science & Mathematics

Tuberculosis (TB)-causing bacterium Mycobacterium tuberculosis (Mtb) utilizes mycolic acids for building the mycobacterial cell wall, which is critical in providing defense against external factors and resisting antibiotic action. MmpL3 is a secondary resistance nodulation division transporter that facilitates the coupled transport of mycolic acid precursor into the periplasm using the proton motive force, thus making it an attractive drug target for TB infection. In 2019, X-ray crystal structures of MmpL3 from M. smegmatis were solved with a promising inhibitor SQ109, which showed promise against drug-resistant TB in Phase II clinical trials. Still, there is a pressing need to discover more …

Harnessing The Synergy Of Fe And Co With Carbon Nanofibers For Enhanced Co, Kevin Arizapana, John Schossig, Michael Wildy, Daniel Weber, Akash Gandotra, Sumedha Jayaraman, Wanying Wei, Kai Xu, Lei Yu, Amos M Mugweru, Islam Mantawy, Cheng Zhang, Ping Lu

Faculty Scholarship for the College of Science & Mathematics

Amid growing concerns about climate change and energy sustainability, the need to create potent catalysts for the sequestration and conversion of CO2 to value-added chemicals is more critical than ever. This work describes the successful synthesis and profound potential of high-performance nanofiber catalysts, integrating earth-abundant iron (Fe) and cobalt (Co) as well as their alloy counterpart, FeCo, achieved through electrospinning and judicious thermal treatments. Systematic characterization using an array of advanced techniques, including SEM, TGA-DSC, ICP-MS, XRF, EDS, FTIR–ATR, XRD, and Raman spectroscopy, confirmed the integration and homogeneous distribution of Fe/Co elements in nanofibers and provided insights into their catalytic …

Protein And Polysaccharide-Based Optical Materials For Biomedical Applications., Gianna Riviello, Brendan Connor, Jake Mcbrearty, Gianna Rodriguez, Xiao Hu

Faculty Scholarship for the College of Science & Mathematics

Recent advances in biomedical research, particularly in optical applications, have sparked a transformative movement towards replacing synthetic polymers with more biocompatible and sustainable alternatives. Most often made from plastics or glass, these materials ignite immune responses from the body, and their production is based on environmentally harsh oil-based processes. Biopolymers, including both polysaccharides and proteins, have emerged as a potential candidate for optical biomaterials due to their inherent biocompatibility, biodegradability, and sustainability, derived from their existence in nature and being recognized by the immune system. Current extraction and fabrication methods for these biomaterials, including thermal drawing, extrusion and printing, mold …

Neutralizing Antibodies Against Ebv Gp42 Show Potent In Vivo Protection And Define Novel Epitopes, Qian Wu, Ling Zhong, Dongmei Wei, Wanlin Zhang, Junping Hong, Yinfeng Kang, Kaiyun Chen, Yang Huang, Qingbing Zheng, Miao Xu, Mu-Sheng Zeng, Yi-Xin Zeng, Ningshao Xia, Qinjian Zhao, Claude Krummenacher, Yixin Chen, Xiao Zhang

Faculty Scholarship for the College of Science & Mathematics

Epstein-Barr virus (EBV) is the first reported human oncogenic virus and infects more than 95% of the human population worldwide. EBV latent infection in B lymphocytes is essential for viral persistence. Glycoprotein gp42 is an indispensable member of the triggering complex for EBV entry into B cells. The C-type lectin domain (CTLD) of gp42 plays a key role in receptor binding and is the major target of neutralizing antibodies. Here, we isolated two rabbit antibodies, 1A7 and 6G7, targeting gp42 CTLD with potent neutralizing activity against B cell infection. Antibody 6G7 efficiently protects humanized mice from lethal EBV challenge and …

Trehalose Enhances Mitochondria Deficits In Human Npc1 Mutant Fibroblasts But Disrupts Mouse Purkinje Cell Dendritic Growth Ex Vivo., Collin M Macleod, Fawad A K Yousufzai, Liam T Spencer, Sarah Kim, Lucianne A Rivera-Rosario, Zerian D Barrera, Lindsay Walsh, Claude Krummenacher, Benjamin Carone, Ileana Soto

Faculty Scholarship for the College of Science & Mathematics

Lysosomes play important roles in catabolism, nutrient sensing, metabolic signaling, and homeostasis. NPC1 deficiency disrupts lysosomal function by inducing cholesterol accumulation that leads to early neurodegeneration in Niemann-Pick type C (NPC) disease. Mitochondria pathology and deficits in NPC1 deficient cells are associated with impaired lysosomal proteolysis and metabolic signaling. It is thought that activation of the transcription factor TFEB, an inducer of lysosome biogenesis, restores lysosomal-autophagy activity in lysosomal storage disorders. Here, we investigated the effect of trehalose, a TFEB activator, in the mitochondria pathology of NPC1 mutant fibroblasts in vitro and in mouse developmental Purkinje cells ex vivo. We …

Fluorescent Molecular Rotors As Versatile In Situ Sensors For Protein Quantitation, Kevin Daus, Sorachat Tharamak, Wanchai Pluempanupat, Peter Galie, Maria A Theodoraki, Emmanuel A Theodorakis, Mary Alpaugh

Faculty Scholarship for the College of Science & Mathematics

Accurate protein quantitation is essential for many cellular mechanistic studies. Existing technology relies on extrinsic sample evaluation that requires significant volumes of sample as well as addition of assay-specific reagents and importantly, is a terminal analysis. This study exploits the unique chemical features of a fluorescent molecular rotor that fluctuates between twisted-to-untwisted states, with a subsequent intensity increase in fluorescence depending on environmental conditions (e.g., viscosity). Here we report the development of a rapid, sensitive in situ protein quantitation method using ARCAM-1, a representative fluorescent molecular rotor that can be employed in both non-terminal and terminal assays.

Self-Supervised Deep Clustering Of Single-Cell Rna-Seq Data To Hierarchically Detect Rare Cell Populations., Tianyuan Lei, Ruoyu Chen, Shaoqiang Zhang, Yong Chen

Faculty Scholarship for the College of Science & Mathematics

Single-cell RNA sequencing (scRNA-seq) is a widely used technique for characterizing individual cells and studying gene expression at the single-cell level. Clustering plays a vital role in grouping similar cells together for various downstream analyses. However, the high sparsity and dimensionality of large scRNA-seq data pose challenges to clustering performance. Although several deep learning-based clustering algorithms have been proposed, most existing clustering methods have limitations in capturing the precise distribution types of the data or fully utilizing the relationships between cells, leaving a considerable scope for improving the clustering performance, particularly in detecting rare cell populations from large scRNA-seq data. …

Sctiger: A Deep-Learning Method For Inferring Gene Regulatory Networks From Case Versus Control Scrna-Seq Datasets., Madison Dautle, Shaoqiang Zhang, Yong Chen

Faculty Scholarship for the College of Science & Mathematics

Inferring gene regulatory networks (GRNs) from single-cell RNA-seq (scRNA-seq) data is an important computational question to find regulatory mechanisms involved in fundamental cellular processes. Although many computational methods have been designed to predict GRNs from scRNA-seq data, they usually have high false positive rates and none infer GRNs by directly using the paired datasets of case-versus-control experiments. Here we present a novel deep-learning-based method, named scTIGER, for GRN detection by using the co-differential relationships of gene expression profiles in paired scRNA-seq datasets. scTIGER employs cell-type-based pseudotiming, an attention-based convolutional neural network method and permutation-based significance testing for inferring GRNs among …

Voluntary Wheel Running Promotes Resilience To The Behavioral Effects Of Unpredictable Chronic Mild Stress In Male And Female Mice., Elias Elias, Ariel Y Zhang, Abigail G White, Matthew J Pyle, Melissa T Manners

Faculty Scholarship for the College of Science & Mathematics

Besides significant benefits to physical health, exercise promotes mental health, reduces symptoms of mental illness, and enhances psychological development. Exercise can offset the impact of chronic stress, which is a major precursor to the development of mental disorders. The effects of exercise on chronic stress-induced behaviors are contradictory in preclinical studies, primarily due to the lack of data and sex-specific investigations. We sought to evaluate the effects of exercise on chronic stress-induced behavioral changes in both male and female mice. Mice were subjected to an Unpredictable Chronic Mild Stress (UCMS) paradigm with accessibility to running wheels for 2 h daily. …

Synthesis And Antibiotic Activity Of Chitosan-Based Comb-Like Co-Polypeptides., Timothy P Enright, Dominic L Garcia, Gia Storti, Jason E Heindl, Alexander Sidorenko

Faculty Scholarship for the College of Science & Mathematics

Infections caused by multidrug-resistant Gram-negative bacteria have been named one of the most urgent global health threats due to antimicrobial resistance. Considerable efforts have been made to develop new antibiotic drugs and investigate the mechanism of resistance. Recently, Anti-Microbial Peptides (AMPs) have served as a paradigm in the design of novel drugs that are active against multidrug-resistant organisms. AMPs are rapid-acting, potent, possess an unusually broad spectrum of activity, and have shown efficacy as topical agents. Unlike traditional therapeutics that interfere with essential bacterial enzymes, AMPs interact with microbial membranes through electrostatic interactions and physically damage cell integrity. However, naturally …

Disruptive Lysosomal-Metabolic Signaling And Neurodevelopmental Deficits That Precede Purkinje Cell Loss In A Mouse Model Of Niemann-Pick Type-C Disease., Sarah Kim, Kathleen Ochoa, Sierra E Melli, Fawad A K Yousufzai, Zerian D Barrera, Aela A Williams, Gianna Mcintyre, Esteban Delgado, James N Bolish, Collin M Macleod, Mary Boghos, Hayden P Lens, Alex G Ramos, Vincent B Wilson, Kelly Maloney, Zachary M Padron, Amaal H Khan, Rosa E Blanco, Ileana Soto

Faculty Scholarship for the College of Science & Mathematics

Purkinje cell (PC) loss occurs at an early age in patients and animal models of Niemann-Pick Type C (NPC), a lysosomal storage disease caused by mutations in the Npc1 or Npc2 genes. Although degeneration of PCs occurs early in NPC, little is known about how NPC1 deficiency affects the postnatal development of PCs. Using the Npc1nmf164 mouse model, we found that NPC1 deficiency significantly affected the postnatal development of PC dendrites and synapses. The developing dendrites of Npc1nmf164 PCs were significantly deficient in mitochondria and lysosomes. Furthermore, anabolic (mTORC1) and catabolic (TFEB) signaling pathways were not only perturbed …

Stabilizing G-Quadruplex Dna And Rna Structures With Ionic Liquids, Timothy Vaden

Faculty Scholarship for the College of Science & Mathematics

Stabilizing DNA and RNA for long-term room-temperature storage is important for many biotechnological applications including oncology pharmaceuticals and mRNA-based vaccines (e.g. Covid vaccines). This poster shows that ionic liquids can improve the thermal stability of G-quadruplex DNA and RNA structures, and motivates further studies of ionic liquid-based materials for DNA / RNA stabilization.

Ultrasound-Assisted Air-Jet Spinning Of Silk Fibroin-Soy Protein Nanofiber Composite Biomaterials., Futian Yang, Fang Wang, Janine Mazahreh, Xiao Hu

Faculty Scholarship for the College of Science & Mathematics

Ultrasound utilizes a non-radiation technology that can meet modern standards to gain access to cheap, reliable and sustainable modern energy. Ultrasound technology can be implemented in the field of biomaterials for its exceptional potential in controlling the shape of nanomaterials. This study presents the first example of the production of soy and silk fibroin protein composite nanofibers in various ratios via combining ultrasonic technology with air-spray spinning. Characterization of ultrasonic spun nanofibers was performed by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), X-ray powder diffraction (XRD), differential scanning calorimetry (DSC), thermogravimetric (TG) analysis, water contact angle, water retention, enzymatic …

The Integration Of Biopolymer-Based Materials For Energy Storage Applications: A Review., Shrey Dalwadi, Arnav Goel, Constantine Kapetanakis, David Salas-De La Cruz, Xiao Hu

Faculty Scholarship for the College of Science & Mathematics

Biopolymers are an emerging class of novel materials with diverse applications and properties such as superior sustainability and tunability. Here, applications of biopolymers are described in the context of energy storage devices, namely lithium-based batteries, zinc-based batteries, and capacitors. Current demand for energy storage technologies calls for improved energy density, preserved performance overtime, and more sustainable end-of-life behavior. Lithium-based and zinc-based batteries often face anode corrosion from processes such as dendrite formation. Capacitors typically struggle with achieving functional energy density caused by an inability to efficiently charge and discharge. Both classes of energy storage need to be packaged with sustainable …

Novel Signposts On The Road From Natural Sources To Pharmaceutical Applications: A Combinative Approach Between Lc-Dad-Ms And Offline Lc-Nmr For The Biochemical Characterization Of Two Hypericum Species (H. Montbretii And H. Origanifolium), Stefania Sut, Stefano Dall'acqua, Gokhan Zengin, Ismail Senkardes, Abdullahi Ibrahim Uba, Abdelhakim Bouyahya, Abdurrahman Aktumsek

Faculty Scholarship for the College of Science & Mathematics

The members of the genus Hypericum have great potential to develop functional uses in nutraceutical and pharmaceutical applications. With this in mind, we aimed to determine the chemical profiling and biological properties of different extracts (ethyl acetate, methanol and water) from two Hypericum species (H. montbretii and H. origanifolium). We combined two approaches (LC-DAD-MS and LC-NMR) to identify and quantify chemical compounds of the extracts. Antioxidant properties (free radical quenching, reducing power and metal chelating) and enzyme inhibitory effects (cholinesterase, tyrosinase, amylase and glucosidase) were determined as biological properties. The tested extracts were rich in caffeic acid derivatives and flavonoids, …

Essential Oils Composition And Biological Activity Of Chamaecyparis Obtusa, Chrysopogon Nigritanus And Lavandula Coronopifolia Grown Wild In Sudan, Loai M H Eltayeb, Sakina Yagi, Hanan M M Mohamed, Gokhan Zengin, Mohammad Ali Shariati, Maksim Rebezov, Abdullah Ibrahim Uba, Jose Manuel Lorenzo

Faculty Scholarship for the College of Science & Mathematics

Generally, there are scant data about the constituents and eventually the biological activity of essential oils (EOs) from aromatic plants that grow naturally in Sudan. The present study aimed to determine the chemical composition, and antioxidant and enzyme inhibitory activities of EO extracted from the fruit of Chamaecyparis obtusa (Siebold and Zucc.) Endl. (family Cupressaceae), root of Chrysopogon nigritanus (Benth.) Veldkampis (family Poaceae) and aerial part of Lavandula coronopifolia Poir (family Lamiaceae). The fruit of C. obtusa contained only monoterpenes, mainly hydrogenated ones, with α-pinene (69.07%) as the major component. Oxygenated sesquiterpenes comprised the highest content of the C. nigritanus …

Kif6 Trp719arg Genetic Variant Increases Risk For Thoracic Aortic Dissection, Juan J Velasco, Yupeng Li, Bulat A Ziganshin, Mohammad A Zafar, John A Rizzo, Deqiong Ma, Hui Zang, Asanish Kalyanasundaram, John A Elefteriades

Faculty Scholarship for the College of Science & Mathematics

Background: KIF6 (kinesin family member 6), a protein coded by the KIF6 gene, serves an important intracellular function to transport organelles along microtubules. In a pilot study, we found that a common KIF6 Trp719Arg variant increased the propensity of thoracic aortic aneurysms (TAA) to suffer dissection (AD). The present study aims for a definite investigation of the predictive ability of KIF6 719Arg vis à vis AD. Confirmatory findings would enhance natural history prediction in TAA. Methods: 1108 subjects (899 aneurysm and 209 dissection patients) had KIF6 719Arg variant status determined. Results: The 719Arg variant in the KIF6 gene correlated strongly …

Discovering New Potential Inhibitors To Sars-Cov-2 Rna Dependent Rna Polymerase (Rdrp) Using High Throughput Virtual Screening And Molecular Dynamics Simulations., Dylan Brunt, Phillip M Lakernick, Chun Wu

Faculty Scholarship for the College of Science & Mathematics

RNA dependent RNA polymerase (RdRp), is an essential in the RNA replication within the life cycle of the severely acute respiratory coronavirus-2 (SARS-CoV-2), causing the deadly respiratory induced sickness COVID-19. Remdesivir is a prodrug that has seen some success in inhibiting this enzyme, however there is still the pressing need for effective alternatives. In this study, we present the discovery of four non-nucleoside small molecules that bind favorably to SARS-CoV-2 RdRp over the active form of the popular drug remdesivir (RTP) and adenosine triphosphate (ATP) by utilizing high-throughput virtual screening (HTVS) against the vast ZINC compound database coupled with extensive …

Neural Substrates Of Homing Pigeon Spatial Navigation: Results From Electrophysiology Studies, Gerald E. Hough

Faculty Scholarship for the College of Science & Mathematics

Over many centuries, the homing pigeon has been selectively bred for returning home from a distant location. As a result of this strong selective pressure, homing pigeons have developed an excellent spatial navigation system. This system passes through the hippocampal formation (HF), which shares many striking similarities to the mammalian hippocampus; there are a host of shared neuropeptides, interconnections, and its role in the storage and manipulation of spatial maps. There are some notable differences as well: there are unique connectivity patterns and spatial encoding strategies. This review summarizes the comparisons between the avian and mammalian hippocampal systems, and the …

Harnessing The 4dee Framework To Redesign An Introductory Ecology Course In A Changing Higher Education Landscape, Nathan Ruhl, Patrick Crumrine, Jennifer Oberle, Courtney Richmond, Shelly Thomas, Sara Wright

Faculty Scholarship for the College of Science & Mathematics

As higher education undergoes rapid and fundamental change, eco-educators need to be prepared to promote the inclusion of the ecological sciences in the biological sciences curriculum of the future. Here, we present an instructional alignment for an introductory ecology course, which is informed by and integrated with the Four-Dimensional Ecology Education (4DEE) Framework. Our instructional alignment was created collaboratively among faculty involved in teaching the course and emphasizes the relevance and utility of the ecological sciences. We believe that this approach positions the ecological sciences for continued success and inclusion in the biological sciences curriculum of tomorrow.

Artemisinin Dna Base Interaction Studies In Presence Of Fe (Ii): Lc/Tof Ms Separation Of Reaction Products, Kogila Oke, Amos Mugweru

Faculty Scholarship for the College of Science & Mathematics

Artemisinin (ART) is a sesquiterpene lactone and a popular malaria drug with potential anticancer properties. In this work, LC/TOF/MS, was used to investigate the reaction of ART with DNA bases. ART-deoxyadenosine and ART-deoxycytidine interactions, were studied in the presence of iron II ions. ART-deoxyadenosine and ART-deoxycytidine reaction mixtures gave chromatographic signatures that remained fairly unchanged at room temperature but grew after incubation at 37 °C. The change in temperature from room temperature to 37 °C was the main driver of adduct formation in these reactions. ART was found to react with Fe(II) ions as observed from several new chromatographic peaks. …

Deciphering Hierarchical Organization Of Topologically Associated Domains Through Change-Point Testing., Haipeng Xing, Yingru Wu, Michael Q Zhang, Yong Chen

Faculty Scholarship for the College of Science & Mathematics

BACKGROUND: The nucleus of eukaryotic cells spatially packages chromosomes into a hierarchical and distinct segregation that plays critical roles in maintaining transcription regulation. High-throughput methods of chromosome conformation capture, such as Hi-C, have revealed topologically associating domains (TADs) that are defined by biased chromatin interactions within them.

RESULTS: We introduce a novel method, HiCKey, to decipher hierarchical TAD structures in Hi-C data and compare them across samples. We first derive a generalized likelihood-ratio (GLR) test for detecting change-points in an interaction matrix that follows a negative binomial distribution or general mixture distribution. We then employ several optimal search strategies to …

Npc1 Deficiency Impairs Cerebellar Postnatal Development Of Microglia And Climbing Fiber Refinement In A Mouse Model Of Niemann-Pick Disease Type C., Bridget R Boyle, Sierra E Melli, Ruth S Altreche, Zachary M Padron, Fawad A K Yousufzai, Sarah Kim, Mariella D Vasquez, Dawn M Carone, Benjamin Carone, Ileana Soto Reyes

Faculty Scholarship for the College of Science & Mathematics

Little is known about the effects of NPC1 deficiency in brain development and whether these effects contribute to neurodegeneration in Niemann-Pick disease type C (NPC). Degeneration of cerebellar Purkinje cells occurs at an earlier stage and to a greater extent in NPC; therefore, we analyzed the effect of NPC1 deficiency on microglia and on climbing fiber synaptic refinement during cerebellar postnatal development using the

Model-Based Analysis Of Chromatin Interactions From Dcas9-Based Capture-3c-Seq., Yong Chen, Yunfei Wang, Xin Liu, Jian Xu, Michael Q Zhang

Faculty Scholarship for the College of Science & Mathematics

Deciphering long-range chromatin interactions is critical for understanding temporal and tissue-specific gene expression regulated by cis- and trans-acting factors. By combining the chromosome conformation capture (3C) and biotinylated dCas9 system, we previously established a method CAPTURE-3C-seq to unbiasedly identify high-resolution and locus-specific long-range DNA interactions. Here we present the statistical model and a flexible pipeline, C3S, for analysing CAPTURE-3C-seq or similar experimental data from raw sequencing reads to significantly interacting chromatin loci. C3S provides all steps for data processing, quality control and result illustration. It can automatically define the bin size based on the binding peak of the dCas9-targeted regions. …

Landform Type Mediates Compositional Change In A Hurricane-Disturbed Sub-Tropical Forest, Robert L. Spicer, Ariel E. Lugo, Nathan Ruhl

Faculty Scholarship for the College of Science & Mathematics

Background

Categorization of topographical features into landform type is a long-standing method for understanding physiographic patterns in the environment. Differences in forest composition between landform types are driven primarily by concurrent differences in soil composition and moisture, but also disturbance regime. Many studies have focused on the interaction between fire disturbance, succession, and landforms, but the effects of hurricane disturbance on compositional differences between landforms are poorly understood. In the study presented here, we assess compositional and structural differences between landform types in the tree community of a young sub-tropical forest that is frequently subjected to hurricanes. Specifically, we ask …

Deficiency Of Complement Component C1q Prevents Cerebrovascular Damage And White Matter Loss In A Mouse Model Of Chronic Obesity., Leah C Graham, Heidi E Kocalis, Ileana Soto Reyes, Gareth R Howell

Faculty Scholarship for the College of Science & Mathematics

Age-related cognitive decline and many dementias involve complex interactions of both genetic and environmental risk factors. Recent evidence has demonstrated a strong association of obesity with the development of dementia. Furthermore, white matter damage is found in obese subjects and mouse models of obesity. Here, we found that components of the complement cascade, including complement component 1qa (C1QA) and C3 are increased in the brain of Western diet (WD)-fed obese mice, particularly in white matter regions. To functionally test the role of the complement cascade in obesity-induced brain pathology, female and male mice deficient in C1QA, an essential molecule in …

Identification And Characterization Of The Lactating Mouse Mammary Gland Citrullinome, Guangyuan Li, Coleman H. Young, Bryce Snow, Amanda C. Christensen, M. Kristen Demoruelle, Venkatesh V. Nemmara, Paul R. Thompson, Heather M. Rothfuss, Brian D. Cherrington

Faculty Scholarship for the College of Science & Mathematics

Citrullination is a post-translational modification (PTM) in which positively charged peptidyl-arginine is converted into neutral peptidyl-citrulline by peptidylarginine deiminase (PAD or PADI) enzymes. The full protein citrullinome in many tissues is unknown. Herein, we used mass spectrometry and identified 107 citrullinated proteins in the lactation day 9 (L9) mouse mammary gland including histone H2A, α-tubulin, and β-casein. Given the importance of prolactin to lactation, we next tested if it stimulates PAD-catalyzed citrullination using mouse mammary epithelial CID-9 cells. Stimulation of CID-9 cells with 5 µg/mL prolactin for 10 min induced a 2-fold increase in histone H2A citrullination and a 4.5-fold …