Title: Wildfire Smoke-Induced MicroRNA Changes in Mouse Plasma Extracellular Vesicles

Accession Number: GSE173561

Link to Dataset: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE173561

Repository: Gene Expression Omnibus (GEO)

Data Type(s): Gene Expression

Experiment Type(s): Non-coding RNA profiling by high throughput sequencing

Organism(s): Mus musculus

Summary: These analyses set out to evaluate changes in microRNA signatures in the mouse plasma in response to simulated wildland fire exposure conditions. These exposure conditions were based on smoke condensate consisting of particulate matter and semivolative organic compounds resulting from the burning of two biomass fuels; namely , peat and red oak. These biomasses were evaluated under two burn conditions: flaming and smoldering. Saline exposures were also carried out as negative controls.

Publication(s) associated with this dataset:

• Carberry C, Koval L, Payton A, Hartwell HJ, Kim YH, Smith GJ, Reif DM, Jaspers I, Gilmour MI, Rager JE. 2022. Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke. Environ Int 167:doi:10.1016/j.envint.2022.107419 PMID:35863239 PMCID:PMC9389917

Project(s) associated with this dataset:

• University of North Carolina-Chapel Hill: Data Management and Analysis Core (DMAC)
• University of North Carolina-Chapel Hill: Research Experience and Training Coordination Core (RETCC)