Washington University School of Medicine in St. Louis Showcase

This dataset provides supporting data for the manuscript titled "Chronic oral cannabidiol delays seizure onset and reduces seizure burden in a mouse model of CLN2 disease" and is deposited to comply with PLOS One data availability requirements. The data shows that chronic treatment with cannabidiol confers significant anti-seizure benefit to the mouse model of CLN2 disease, and that it does not appear to do so by altering the inflammatory and neuroimmune markers traditionally used to track CLN2 disease progression. There are four files corresponding to Figures 1 to 3 and Table S1.

This dataset includes raw z-stack files from the Nikon microscope as well as deleted-slices versions of some of them, and Imaris files for which the original microscope z-stacks are not available. These correspond to the images and movies in the manuscript "Longitudinal single-axon-resolution imaging of peripheral nerve injury response in mice using an optical window implant". The experimental conditions and other information about the images is in the manuscript and the file metadata.

This study uses a community-based qualitative research approach and a critical policy analysis framework to examine how a postdoctoral health benefits policy is interpreted, implemented, and experienced at a private research-intensive university. Data were collected through role specific focus groups with 20 participants, including postdoctoral researchers, faculty advisors, and administrative staff, and analyzed using thematic analysis. Themes coded for in the study are defined. This study was determined by Washington University Human Research Protection Office to be a Quality Assurance/Quality Improvement study that is not subject to IRB oversight.

Using mouse models of alphavirus-induced arthritis, we investigated how antibiotic-induced gut dysbiosis shapes inflammatory responses in the joint. We found that depletion of microbiota-derived short chain fatty acids (SCFAs) activated pathogenic immune cells in the gut that drove more severe arthritis, while restoring SCFAs or SCFA-producing bacteria attenuated disease. Data were generated using flow cytometry, fluorescent activated cell sorting, RNA sequencing, qRT-PCR, in situ hybridization, H&E staining, Toulidine blue staining, TRAP staining, focus forming assay, ELISA, liquid chromatography-mass spectrometry, virus and bacterial cultures, bacterial engineering, and in vivo characterization. There are 10 main Figures and 7 Supplementary Figures. Data were obtained using gnotobiotic and specific pathogen free C57BL6/J wild type mice, as well as specific pathogen free Rag1 KO (Rag1tm1Mom, 034159); Tcrbd KO (Tcrbtm1Mom Tcrdtm1Mom, 002122); µMT (Ighmtm1Cgn, 002288); Myd88 KO (MyD88tm1.1Defr, 009088); Il1r KO (Il1r1tm1Imx, 003245); Tlr7 KO (Tlr7tm1Flv, 008380); Tlr9 KO (Tlr9M7Btlr, 34329-Jax); Tlr2 KO (Tlr2tm1Kir, 004650); Tlr4 KO (Tlr4tm1.2Karp, 029015); Pou2f3 KO (Pou2f3em1Cbwi, 037040); CD45.1 OT-II Rag1 KO; Myd88f/f (008888) x Villin-Cre (004586); and Myd88f/f (008888) x Ccr2-Cre-ERT2 (035229) mice. Vero CCL-81 cells were also used in this project.

The Haiti Cardiovascular Disease (HCVD) Cohort is a longitudinal, community-based cohort study designed to investigate cardiovascular disease (CVD) and related risk factors among adults living in Port-au-Prince, Haiti. This dataset contains enrollment data collected from March 1, 2019 through August 31, 2021 and was used for a cross-sectional analysis examining the association between depressive symptoms and prevalent cardiovascular disease among urban Haitian adults. The dataset includes demographic and socioeconomic characteristics (age, sex, education, marital status, occupation, and household income); health behaviors (smoking, alcohol use, and physical activity); psychosocial measures including the Patient Health Questionnaire-9 (PHQ-9) and Perceived Stress Scale-4 (PSS-4); household food insecurity indicators; anthropometric measurements (height and weight); blood pressure measurements; antihypertensive medication use; and adjudicated cardiovascular disease outcomes. Cardiovascular disease outcomes include angina, myocardial infarction, heart failure, stroke, and transient ischemic attack and were classified using epidemiologic definitions and adjudication procedures developed for the HCVD Cohort. The dataset was used to evaluate the association between depressive symptoms and prevalent cardiovascular disease while accounting for demographic, socioeconomic, behavioral, and psychosocial factors. The data support research on cardiovascular health, mental health, social determinants of health, health disparities, and chronic disease epidemiology in low-resource settings. Files included in this deposit are: (1) a CSV file containing the analytic dataset; (2) a comprehensive data dictionary documenting variable definitions, data types, units of measurement, allowable values, coding schemes, and variable derivations; and (3) an R Markdown (.Rmd) file containing the reproducible analytical workflow used to clean the data, derive study variables, perform statistical analyses, and generate the tables, figures, and results reported in the associated manuscript, “Depressive Symptoms and Association with Prevalent Cardiovascular Disease: A Cross-Sectional Analysis in Port-au-Prince, Haiti.”

In this work, we characterized the immunogenicity and efficacy of a Matrix-M®–adjuvanted nanoparticle protein vaccine containing recombinant H5 HA of A/American wigeon/South Carolina/22/000345-001/2021 virus (clade 2.3.4.4b, H5-MNP). Influenza A virus (H5N1) animal challenge model involves BL/6 mice and Madin-Darby Canine Kidney epithelial (MDCK) cells. Data types include Reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) imputed values from Quant Studio, Focus-forming assay (FFA) values from CTL Biospot, histological images, and weight loss data.

This dataset contains quantitative summary data supporting the publication "Suppressing phagocyte activation by overexpressing the phosphatidylserine lipase ABHD12 preserves sarmopathic nerves". The data include LC-MS/MS metabolomics measurements, in vitro axon degeneration assays, and in vivo histological and behavioral analyses used to generate the quantitative results presented in Figures 1–4 and Supplemental Figure S1. These data support the study's investigation of chronic SARM1 activation, phosphatidylserine dysregulation, macrophage activation, and the therapeutic effects of neuronal ABHD12 overexpression in a mouse model of sarmopathy.

This dataset includes raw hyperspectral data in ENVI format, supporting all figures in the manuscript "Wavelet-based compression method for scale-preserving in VNIR and SWIR hyperspectral data." It contains two raw hyperspectral data files (.raw) and two header files (.hdr), which contains metadata.

This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "BPTF is essential for vaccine-induced germinal center B cell responses," published in Journal of Immunology. The data includes measurements of cellular immune responses in wild-type and transgenic mice following immunization with the mRNA-lipid nanoparticle-based SARS-CoV-2 spike vaccine. It also includes data analyzing the transcriptomic profile of mouse and human B cells responding to vaccination with mRNA-lipid nanoparticle-based SARS-CoV-2 spike vaccine.

The Knight Alzheimer Disease Research Center (ADRC) Data Freeze Ending 2025-09-30 is a longitudinal compilation of harmonized, processed research data collected from August 1, 1979 through September 30, 2025. This Data Freeze represents a fixed, versioned snapshot of curated datasets maintained by the ADRC and is intended to support reproducible secondary analyses under approved data use agreements. The Data Freeze includes data contributed by multiple ADRC Cores, including clinical assessments, cognitive testing, neuropsychological measures, neuroimaging data summaries, fluid biomarker data, neuropathology variables, and related research measures. Modules are compiled, quality controlled, and integrated according to ADRC Data Management and Sharing procedures prior to freeze finalization. This dataset reflects the full longitudinal structure of ADRC participant data available as of the official cutoff date (September 30, 2025). No data collected after this date are included in this release. Each subsequent Data Freeze constitutes a new versioned dataset with its own DOI. The purpose of this Data Freeze is to: 1. Provide a stable, citable dataset snapshot for approved secondary analyses 2. Support NIH Data Management and Sharing (DMS) policy compliance 3. Enable transparency, reproducibility, and longitudinal tracking of dataset versions This repository record provides metadata describing the Data Freeze and assigns a persistent DOI to this version. The underlying human subject data are stored in a secure Research Infrastructure Services (RIS) environment and are not publicly downloadable. Access to this dataset is controlled and requires submission of a formal data request through the Knight ADRC Request Center. Approved investigators must complete the appropriate Data Use Agreement prior to receiving access. Upon approval, access to the static dataset corresponding to this DOI will be granted through ADRC-managed secure infrastructure. Investigators using this Data Freeze must cite this dataset DOI in all resulting publications and acknowledge Knight ADRC funding as specified in the Data Use Agreement. This dataset was generated and curated by the Knight ADRC Data Management and Statistics Core in collaboration with contributing ADRC Cores. For information about submitting a data request, please visit: https://knightadrc.wustl.edu/professionals-clinicians/request-center-resources/submit-a-request/