Title: Wildfire Smoke-Induced Transcriptomic Changes in the Mouse Lung and Heart

Accession Number: GSE164542

Link to Dataset: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164542

Repository: Gene Expression Omnibus (GEO)

Data Type(s): Gene Expression

Experiment Type(s): Expression profiling by high throughput sequencing

Organism(s): Mus musculus

Summary: These analyses set out to evaluate transcriptomic responses in the mouse lung and heart 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 five biomass fuels; namely eucalyptus, pine, pine needles, peat, and red oak. These biomasses were evaluated under two burn conditions: flaming and smoldering.

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)