Digital Commons Network^™

Reducing Student Anxiety Using Neurofeedback-Assisted Mindfulness: A Quasi-Experimental Single-Case Design, David Christian, Cian L. Brown, Evan C. Smarinsky, Erin K. Popejoy, Allison Ames Boykin

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

The authors implemented an A–B–A with follow-up quasi-experimental single-case research design to assess the effectiveness of a consumer-grade neurofeedback (NFB)-assisted mindfulness-based intervention (MBI) for reducing anxiety in high-achieving high school students (N = 5). Three of the participants from racial/ethnic minority and lower socioeconomic status (SES) backgrounds reported reduced anxiety as measured by the State-Trait Anxiety Inventory for Youth (STAI-Y) during the intervention. In contrast, the two participants who identified as White, higher SES did not report decreased anxiety during the intervention. Results provide initial support for the use of the NFB-assisted MBI used in this study as a …

Surface Roughness And Stain Remover Ability Of Prophylaxis Paste And Biochar Gel For Stained Teeth Based On Cucurbita Moschata – In Vitro Study, Shadwa Kabil, Mohamed Mostafa Zayed, Mayssa Abdel Hady Mohamed, Elsayed Gamal Zaki Swelame, Shaimaa Moustafa Rohym

Dentistry

No abstract provided.

Campus Principals’ Actions And Perceptions That Contribute To The Direct Impact Of Teacher Retention, Efrain D. Reyna

Theses and Dissertations

This study focused on factors that suburban principals could perform to increase teacher retention. A suburban school district in the southwest area of Texas was selected to participate in this research. Principals were chosen and interviewed. Teachers from the selected school district were chosen to participate in a focus group. This qualitative single case study research was focused on the individual perspectives from six different principals, and eighteen teachers. Both participant groups, principals and teachers, were then interviewed to discover if the principal’s actions directly impacted their decision to remain teaching.

Application And Analysis Of Machine Learning And Deep Learning Algorithms In Detection Of Ddos Cyberattacks, Dipok Deb

Theses and Dissertations

A Distributed Denial-of-Service (DDoS) attack involves overwhelming a target system's data bandwidth or computational resources, often using multiple attack systems, aiming to slow down or disable the targeted system. Detecting and mitigating DDoS attacks effectively remains challenging due to their varying characteristics. One of the promising approaches involves developing an AI based Intrusion Detection System (IDS) against cyberattacks. In this study, we aim to develop an AI based Intrusion Detection System (IDS) for DDoS threat detection using Machine Learning, Deep Learning, or hybrid techniques. Different Machine Learning (ML) and Deep Learning (DL) algorithms like Random Forest (RF), Naïve Bayes (NB), …

Development Of A Mechanical Boot For Prevention Of Deep Vein Thrombosis In Outpatients, Julian David Trevino

Theses and Dissertations

This work presents the development of a mechanical boot designed to prevent Deep Vein Thrombosis (DVT) in high-risk individuals such as those who have just had major procedures. DVT is a serious condition characterized by the formation of blood clots in the deep veins, particularly of the lower limbs, which can lead to life-threatening complications if not adequately addressed. The mechanical boot utilizes the principle of Continuous Passive Motion (CPM) to facilitate blood flow in the lower extremities, thereby mitigating the risk of clot formation. Through a combination of mechanical engineering, biomedical research, and user centered design, the project outlines …

Greenhouse Gas Emissions From Urban Lawn Soil Amended With Biochar And Compost Under Contrasting Redox Conditions, Angel Salinas

Theses and Dissertations

Green fields around the world are being converted to urban land uses to cope with population growth and urbanization. The objective of this study was to investigate how urban lawn soils can contribute to greenhouse gas (GHG) emissions in relation to soil saturation-drainage cycles. We measured carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) emissions as well as redox potential (Eh) from garden soils amended with biochar, compost, or biochar + compost under a mesocosm scale. Bermuda turfgrass seed was seeded in each column (5-gallon bucket) and three water saturation conditions (half-saturated, full-saturated, and unsaturated soils) were maintained for …

Habitat Restoration Along The U.S.-Mexican Border Examining Collaborative Governance For The Bahia Grande, Mya Jude Brown

Theses and Dissertations

The Bahia Grande, a 6,500-acre tidal basin in southeastern Cameron County, Texas, once provided habitat for numerous species. Construction projects, such as the Brownsville Ship Channel, altered ecosystem functions and separated it from its water source, reducing it to a dried wetland. In 2005, restoration initiatives reconnected the Bahia Grande to a water source through the Carl Joe Gayman channel, and additional restoration efforts continued. Despite this progress, this area had notable deficiencies in management efforts due to resource scarcity, limited research, and a lack of public awareness. This research investigates the presence and effects of management strategies on the …

Viewing Ir Through A Unicolonial Lens: A Case Study On The Effects Of Cultural Recognition On State Behavior, Andrew Viera

Theses and Dissertations

The following thesis utilizes the concept of unicoloniality, a process found within several ant species, to analyze the aggressive behavior and alliance-forming behavior of states. Through the unique lens of ant colony behavior, this study creates a new variable for quantifying culture that measures whether two states can recognize each other based on their cultural identity. Utilizing this noble variable, a logistic regression model was run to test the impact of cultural recognition on state behavior. The results indicated that cultural recognition had no effect on the decision of a state to join an alliance or engage in a militarized …

Analysis Of Policy Implementation: Improving Reading Proficiency Outcomes For All Students, Mariela Magro-Malo

Education Theses and Dissertations

This dissertation investigates the implementation and impact of reading improvement initiatives mandated by Texas House Bill 3 (2019) within a Texas school district. By applying improvement science principles, the study employs a mixed-methods embedded research design to evaluate the alignment of district practices with the Science of Reading and assess the effectiveness of systemic approaches in enhancing student reading outcomes. The research identifies statistically significant improvements in reading achievement, particularly in kindergarten, following the adoption of a phonics curriculum and mandated reading assessment tools. However, the findings also reveal challenges, notably the disconnect between policy understanding and practical implementation among …

Is Manual Lateralization Associated With Manual Performance?, Kylie Llamas, Iryna Babik

Idaho Conference on Undergraduate Research

Manual lateralization, or hand preference, emerges in infancy and gets manifested in object acquisition and manipulation. The magnitude of manual lateralization refers to the strength of hand preference, irrespective of its direction (right vs. left). Manual lateralization has evolved as a useful adaptation, but does it improve manual performance? Previous research showed inconsistent results on the relation between manual lateralization and manual performance. This may have been due to differences in measures of hand preference, with some research looking at the direction rather than magnitude of manual lateralization. The aim of this research was to determine whether the magnitude of …

Gendered Privilege In The Idahoan Lgbtq+ Community, Niamh May Winters

Idaho Conference on Undergraduate Research

As scholars such as Dr. Bonnie J. Morris have discussed, there is a well known divide between Lesbians and Gays in the LGBTQ+ community. For decades, gay men have typically taken leadership of the LGBTQ+ movement and prioritized their own identities and experiences as gay men as representative of all of LGBTQ+ persons. Lesbians have often felt their struggles as gay women have been overlooked or minimized within the movement. This issue of dismissal has been mentioned in passing in scholarship, but not investigated in-depth, as it is more subtle than other forms of sexism women have endured historically. Because …

Developing A Dual Vision Harvesting Bot Using Ros, Connor Ruybalid, Christian Salisbury, Duke Bulanon

Idaho Conference on Undergraduate Research

With increasing demand for labor in the orchard harvesting field and limited supply to meet that demand, creating a tool for farmers to meet this need is important. Northwest Nazarene University is developing a robot to help farmers by automating harvesting. This robot uses a dual vision system that allows the robot to detect apples on a tree and pick them using the attached arm. This system utilizes the Robotic Operating System, ROS, to allow each piece of the system to communicate to create a seamless package.

Measuring The Effects Of Unconventional Monetary Policy Tools Under Adaptive Learning, Stephen J. Cole, Sungjun Huh

Economics Faculty Research and Publications

We compare the economic effects of forward guidance and quantitative easing utilizing the four-equation New Keynesian model of Sims et al. (2023) with agents forming expectations via an adaptive learning rule. The results indicate forward guidance can have a greater influence on macroeconomic variables compared to quantitative easing. Adaptive learning agents estimate a higher effect of forward guidance on the economy leading to a greater impact on expectations, and thus, contemporaneous inflation. However, the performance gap between forward guidance and quantitative easing can change. If quantitative easing includes anticipated shocks, more households finance consumption through long-term borrowing, and the central …

Cone-Beam Ct With A Noncircular (Sine-On-Sphere) Orbit: Imaging Performance Of A Clinical System For Image-Guided Interventions, A Kyle Jones, Moiz Ahmad, Shaan M Raza, Stephen R Chen, Jeffrey H Siewerdsen

Faculty, Staff and Student Publications

Purpose: We aim to compare the imaging performance of a cone-beam CT (CBCT) imaging system with noncircular scan protocols (sine-on-sphere) to a conventional circular orbit.

Approach: A biplane C-arm system (ARTIS Icono; Siemens Healthineers) capable of circular and noncircular CBCT acquisition was used, with the latter orbit (sine-on-sphere, "Sine Spin") executing a sinusoidal motion with ±10deg tilt amplitude over the half-scan orbit. A test phantom was used for the characterization of image uniformity, noise, noise-power spectrum (NPS), spatial resolution [modulation transfer function (MTF) in axial and oblique directions], and cone-beam artifacts. Findings were interpreted using an anthropomorphic head phantom with …

Response-Adapted Ultra-Low-Dose 4 Gy Radiation As Definitive Therapy Of Gastric Malt Lymphoma: A Single-Centre, Pilot Trial, Jillian R Gunther, Jie Xu, Manoop S Bhutani, Paolo Strati, Penny Q Fang, Bouthaina S Dabaja, Priya R Bhosale, Christopher R Flowers, Ranjit Nair, Luis Malpica Castillo, Luis Fayad, Swaminathan P Iyer, Simrit Parmer, Michael Wang, Hun Ju Lee, Felipe Samaniego, Jason Westin, Sairah Ahmed, Chijioke C Nze, Preetesh Jain, Sattva S Neelapu, Maria A Rodriguez, Dai Chihara, Loretta J Nastoupil, Chelsea C Pinnix

Faculty, Staff and Student Publications

Background: Given the favourable prognosis of patients with gastric mucosa-associated lymphoid tissue (MALT) lymphoma, treatment-related toxicity should be minimised. We aimed to evaluate the efficacy of 4 Gy radiotherapy given in a response-adapted approach.

Methods: We conducted a single-centre, single-arm, prospective trial at MD Anderson Cancer Center (Houston, TX, USA) of response-adapted ultra-low-dose radiotherapy. Eligible patients were 18 years or older and had newly diagnosed or relapsed Helicobacter pylori-negative gastric MALT lymphoma, with stage I-IV disease. Given the expected low toxicity profile of treatment, performance status was not an exclusion criterion. Patients received external beam photon-based radiotherapy for a total …

Targeting Of Cyp2e1 By Mirnas In Alcohol-Induced Intestine Injury, Hyejin Mun, Sungyul Lee, Suyoung Choi, Ji-Hoon Jeong, Seungbeom Ko, Benjamin Deaton, Audrey Boyette, Juliana Palmera, London Newman, Ping Zhou, Soona Shin, Dong-Chan Kim, Cari A Sagum, Mark T Bedford, Young-Kook Kim, Jaeyul Kwon, Junyang Jung, Jeong Ho Chang, Je-Hyun Yoon

Faculty, Staff and Student Publications

Although binge alcohol-induced gut leakage has been studied extensively in the context of reactive oxygen species-mediated signaling, it was recently revealed that post-transcriptional regulation plays an essential role as well. Ethanol (EtOH)-inducible cytochrome P450-2E1 (CYP2E1), a key enzyme in EtOH metabolism, promotes alcohol-induced hepatic steatosis and inflammatory liver disease, at least in part by mediating changes in intestinal permeability. For instance, gut leakage and elevated intestinal permeability to endotoxins have been shown to be regulated by enhancing CYP2E1 mRNA and CYP2E1 protein levels. Although it is understood that EtOH promotes CYP2E1 induction and activation, the mechanisms that regulate CYP2E1 expression …

Evaluating The Relationship Between Magnetic Resonance Image Quality Metrics And Deep Learning-Based Segmentation Accuracy Of Brain Tumors, Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P Yung, James P Long, Satish E Viswanath, Caroline Chung

Faculty, Staff and Student Publications

Background: Magnetic resonance imaging (MRI) scans are known to suffer from a variety of acquisition artifacts as well as equipment-based variations that impact image appearance and segmentation performance. It is still unclear whether a direct relationship exists between magnetic resonance (MR) image quality metrics (IQMs) (e.g., signal-to-noise, contrast-to-noise) and segmentation accuracy.

Purpose: Deep learning (DL) approaches have shown significant promise for automated segmentation of brain tumors on MRI but depend on the quality of input training images. We sought to evaluate the relationship between IQMs of input training images and DL-based brain tumor segmentation accuracy toward developing more generalizable models …

Ccr2+ Monocytes Promote White Matter Injury And Cognitive Dysfunction After Myocardial Infarction, Edward B Thorp, Mallory Filipp, Maria Dima, Chunfeng Tan, Matthew Feinstein, Matthew Deberge

Faculty, Staff and Student Publications

Survivors of myocardial infarction are at increased risk for vascular dementia. Neuroinflammation has been implicated in the pathogenesis of vascular dementia, yet little is known about the cellular and molecular mediators of neuroinflammation after myocardial infarction. Using a mouse model of myocardial infarction coupled with flow cytometric analyses and immunohistochemistry, we discovered increased monocyte abundance in the brain after myocardial infarction, which was associated with increases in brain-resident perivascular macrophages and microglia. Myeloid cell recruitment and activation was also observed in post-mortem brains of humans that died after myocardial infarction. Spatial and single cell transcriptomic profiling of brain-resident myeloid cells …

Valine Aminoacyl-Trna Synthetase Promotes Therapy Resistance In Melanoma, Najla El-Hachem, Marine Leclercq, Miguel Susaeta Ruiz, Raphael Vanleyssem, Kateryna Shostak, Coralie Capron, Patrick Roncarati, Arnaud Lavergne, Arnaud Blomme, Silvia Turchetto, Eric Goffin, Palaniraja Thandapani, Ivan Tarassov, Laurent Nguyen, Bernard Pirotte, Alain Chariot, Jean-Christophe Marine, Michael Herfs, Francesca Rapino, Reuven Agami, Pierre Close

Faculty, Staff and Student Publications

Transfer RNA dynamics contribute to cancer development through regulation of codon-specific messenger RNA translation. Specific aminoacyl-tRNA synthetases can either promote or suppress tumourigenesis. Here we show that valine aminoacyl-tRNA synthetase (VARS) is a key player in the codon-biased translation reprogramming induced by resistance to targeted (MAPK) therapy in melanoma. The proteome rewiring in patient-derived MAPK therapy-resistant melanoma is biased towards the usage of valine and coincides with the upregulation of valine cognate tRNAs and of VARS expression and activity. Strikingly, VARS knockdown re-sensitizes MAPK-therapy-resistant patient-derived melanoma in vitro and in vivo. Mechanistically, VARS regulates the messenger RNA translation of valine-enriched …

Α-Synuclein Seed Amplification Technology For Parkinson's Disease And Related Synucleinopathies, Claudio Soto

Faculty, Staff and Student Publications

Synucleinopathies are a group of neurodegenerative diseases (NDs) associated with cerebral accumulation of α-synuclein (αSyn) misfolded aggregates. At this time, there is no effective treatment to stop or slow down disease progression, which in part is due to the lack of an early and objective biochemical diagnosis. In the past 5 years, the seed amplification technology has emerged for highly sensitive identification of these diseases, even at the preclinical stage of the illness. Much research has been done in multiple laboratories to validate the efficacy and reproducibility of this assay. This article provides a comprehensive review of this technology, including …

Mutation Order In Acute Myeloid Leukemia Identifies Uncommon Patterns Of Evolution And Illuminates Phenotypic Heterogeneity, Matthew Schwede, Katharina Jahn, Jack Kuipers, Linde A Miles, Robert L Bowman, Ken Furudate, Tomoyuki Tanaka, Yuya Sasaki, Asiri Ediriwickrema, Brooks Benard, Andrew J Gentles, Ross Levine, Niko Beerenwinkel, Koichi Takahashi, Ravindra Majeti

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) has a poor prognosis and a heterogeneous mutation landscape. Although common mutations are well-studied, little research has characterized how the sequence of mutations relates to clinical features. Using published, single-cell DNA sequencing data from three institutions, we compared clonal evolution patterns in AML to patient characteristics, disease phenotype, and outcomes. Mutation trees, which represent the order of select mutations, were created for 207 patients from targeted panel sequencing data using 1 639 162 cells, 823 mutations, and 275 samples. In 224 distinct orderings of mutated genes, mutations related to DNA methylation typically preceded those related to …

Plasmacytoid Dendritic Cells Control Homeostasis Of Megakaryopoiesis, Florian Gaertner, Hellen Ishikawa-Ankerhold, Susanne Stutte, Wenwen Fu, Jutta Weitz, Bhavishya Nelakuditi, Dominic Van Den Heuvel, Larissa Belz, Gulnoza Sobirova, Zhe Zhang, Anna Titova, Alejandro Martinez Navarro, Kami Pekayvaz, Michael Lorenz, Louisa Von Baumgarten, Jan Kranich, Tobias Straub, Bastian Popper, Vanessa Zheden, Walter Anton Kaufmann, Chenglong Guo, Guido Piontek, Saskia Von Stillfried, Peter Boor, Marco Colonna, Sebastian Clauß, Christian Schulz, Thomas Brocker, Barbara Walzog, Christoph Scheiermann, William C Aird, Claus Nerlov, Konstantin Stark, Tobias Petzold, Stefan Engelhardt, Michael Sixt, Robert Hauschild, Martina Rudelius, Robert A J Oostendorp, Matteo Iannacone, Matthias Heinig, Steffen Massberg

Faculty, Staff and Student Publications

Platelet homeostasis is essential for vascular integrity and immune defence1,2. Although the process of platelet formation by fragmenting megakaryocytes (MKs; thrombopoiesis) has been extensively studied, the cellular and molecular mechanisms required to constantly replenish the pool of MKs by their progenitor cells (megakaryopoiesis) remains unclear3,4. Here we use intravital imaging to track the cellular dynamics of megakaryopoiesis over days. We identify plasmacytoid dendritic cells (pDCs) as homeostatic sensors that monitor the bone marrow for apoptotic MKs and deliver IFNα to the MK niche triggering local on-demand proliferation and maturation of MK progenitors. This pDC-dependent feedback loop is crucial for MK …

Lacrimal Gland Adenocarcinoma Clinicopathologic Features And Outcomes Compared With Those Of Lacrimal Gland Adenoid Cystic Carcinoma, Hila Goldberg, Xinyang Jiang, Janet Fan, Jiawei Zhao, Jing Ning, Steven Frank, Brandon Gunn, Renata Ferrarotto, Bita Esmaeli

Faculty, Staff and Student Publications

Purpose: Lacrimal gland (LG) adenocarcinomas (ACs) are rare, with limited data. We compared clinicopathologic features and local recurrence, distant metastasis, and survival rates between LG AC and LG adenoid cystic carcinoma (ACC).

Methods: The records of LG AC patients treated from 2008 to 2022 and LG ACC patients treated from 1998 to 2022 at the same center were retrospectively reviewed.

Results: The study included 20 patients with AC; 10 de-novo AC, 10 ex-pleomorphic AC; and 51 ACC patients. The median age at diagnosis was 61 years for de-novo AC, 54 years for ex-pleomorphic AC, and 45 years for ACC. All …

Evolving Horizons In Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, And Moving Beyond Geometric Quantification, Kareem A Wahid, Carlos E Cardenas, Barbara Marquez, Tucker J Netherton, Benjamin H Kann, Renjie He, Amy C Moreno, Clifton D Fuller, David Fuentes

Faculty, Staff and Student Publications

Historically, clinician-derived contouring of tumors and healthy tissues has been crucial for radiation therapy (RT) planning. In recent years, advances in artificial intelligence (AI), predominantly in deep learning (DL), have rapidly improved automated contouring for RT applications, particularly for routine organs-at-risk.1, 2, 3 Despite research efforts actively promoting its broader acceptance, clinical adoption of auto-contouring is not yet standard practice.

Notably, within several AI communities, there has been growing enthusiasm to shift from conventional “model-centric” AI approaches (ie, improving a model while keeping the data fixed), to “data-centric” AI approaches (ie, improving the data while keeping a …

Epigenetic Regulation Of Heart Failure, Manisha Deogharia, Priyatansh Gurha

Faculty, Staff and Student Publications

Purpose of review: The studies on chromatin-modifying enzymes and how they respond to different stimuli within the cell have revolutionized our understanding of epigenetics. In this review, we provide an overview of the recent studies on epigenetic mechanisms implicated in heart failure.

Recent findings: We focus on the major mechanisms and the conceptual advances in epigenetics as evidenced by studies in humans and mouse models of heart failure. The significance of epigenetic modifications and the enzymes that catalyze them is also discussed. New findings from the studies of histone lysine demethylases demonstrate their significance in regulating fetal gene expression, as …

Effects Of Vitamin D Supplementation On A Deep Learning-Based Mammographic Evaluation In Swog S0812, Julia E Mcguinness, Garnet L Anderson, Simukayi Mutasa, Dawn L Hershman, Mary Beth Terry, Danika L Lew, Eric A Brown, Sebastien S Kairouz, Nafisa Kuwajerwala, Therese B Bevers, John E Doster, Corrine Zarwan, Laura Kruper, Lori M Minasian, Leslie Ford, Banu Arun, Marian L Neuhouser, Gary E Goodman, Powel H Brown, Richard Ha, Katherine D Crew

Faculty, Staff and Student Publications

Deep learning-based mammographic evaluations could noninvasively assess response to breast cancer chemoprevention. We evaluated change in a convolutional neural network-based breast cancer risk model applied to mammograms among women enrolled in SWOG S0812, which randomly assigned 208 premenopausal high-risk women to receive oral vitamin D3 20 000 IU weekly or placebo for 12 months. We applied the convolutional neural network model to mammograms collected at baseline (n = 109), 12 months (n = 97), and 24 months (n = 67) and compared changes in convolutional neural network-based risk score between treatment groups. Change in convolutional neural network-based risk score was …

Hairy Cell Leukemia Variant And Who Classification Correspondence Re: 5th Edition Who Classification Haematolymphoid Tumors: Lymphoid Neoplasms, Michael Grever, Leslie Andritsos, Mirela Anghelina, Evgeny Arons, Versha Banerji, Seema A Bhat, Alessandro Broccoli, Timothy Call, Claire Dearden, Sascha Dietrich, Monica Else, Narendranath Epperla, Andrei Fagarasanu, Brunangelo Falini, Francesco Forconi, Alessandro Gozzetti, Paul Hampel, David J Hermel, Sunil Iyengar, James B Johnston, Gunnar Juliusson, Robert J Kreitman, Francesco Lauria, Gerard Lozanski, Christopher C Oakes, Sameer A Parikh, Jae Park, Graeme Quest, Kanti Rai, Farhad Ravandi, Tadeusz Robak, Kerry A Rogers, Alan Saven, John F Seymour, Tamar Tadmor, Martin S Tallman, Constantine S Tam, Enrico Tiacci, Xavier Troussard, Bernhard Wörmann, Clive S Zent, Thorsten Zenz, Pier Luigi Zinzani

Faculty, Staff and Student Publications

No abstract provided.

Cholesterol-Dependent Lxr Transcription Factor Activity Represses Pronociceptive Effects Of Estrogen In Sensory Neurons And Pain Induced By Myelin Basic Protein Fragments, Swathi K Hullugundi, Jennifer Dolkas, Andrei V Chernov, Tony L Yaksh, Kelly A Eddinger, Glaucilene Ferreira Catroli, Patrick M Dougherty, Yan Li, Oswal Quehenberger, Aaron Armando, Veronica I Shubayev

Faculty, Staff and Student Publications

Background: A bioactive myelin basic protein (MBP) fragment, comprising MBP84-104, is released in sciatic nerve after chronic constriction injury (CCI). Intraneural injection (IN) of MBP84-104 in an intact sciatic nerve is sufficient to induce persistent neuropathic pain-like behavior via robust transcriptional remodeling at the injection site and ipsilateral dorsal root ganglia (DRG) and spinal cord. The sex (female)-specific pronociceptive activity of MBP84-104 associates with sex-specific changes in cholesterol metabolism and activation of estrogen receptor (ESR)1 signaling.

Methods: In male and female normal and post-CCI rat sciatic nerves, we assessed: (i) cholesterol precursor and metabolite levels by lipidomics; (ii) MBP84-104 interactors …

The Dynamic Trpv2 Ion Channel Proximity Proteome Reveals Functional Links Of Calcium Flux With Cellular Adhesion Factors Ncam And L1cam In Neurite Outgrowth, Pamela N Gallo, Elaine Mihelc, Robyn Eisert, Gary A Bradshaw, Florian Dimek, Marian Kalocsay

Faculty, Staff and Student Publications

TRPV2 voltage-insensitive, calcium-permeable ion channels play important roles in cancer progression, immune response, and neuronal development. Despite TRPV2's physiological impact, underlying endogenous proteins mediating TRPV2 responses and affected signaling pathways remain elusive. Using quantitative peroxidase-catalyzed (APEX2) proximity proteomics we uncover dynamic changes in the TRPV2-proximal proteome and identify calcium signaling and cell adhesion factors recruited to the molecular channel neighborhood in response to activation. Quantitative TRPV2 proximity proteomics further revealed activation-induced enrichment of protein clusters with biological functions in neural and cellular projection. We demonstrate a functional connection between TRPV2 and the neural immunoglobulin cell adhesion molecules NCAM and L1CAM. …

Automated Quantification Of Measurable Residual Disease In Chronic Lymphocytic Leukemia Using An Artificial Intelligence-Assisted Workflow, Alexandre Bazinet, Alan Wang, Xinmei Li, Fuli Jia, Huan Mo, Sa A Wang

Faculty, Staff and Student Publications

Detection of measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is an important prognostic marker. The most common CLL MRD method in current use is multiparameter flow cytometry, but availability is limited by the need for expert manual analysis. Automated analysis has the potential to expand access to CLL MRD testing. We evaluated the performance of an artificial intelligence (AI)-assisted multiparameter flow cytometry (MFC) workflow for CLL MRD. We randomly selected 113 CLL MRD FCS files and divided them into training and validation sets. The training set (n = 41) was gated by expert manual analysis and used to …