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Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring.
Koval, Lauren E; Carberry, Celeste K; Kim, Yong Ho; McDermott, Elena; Hartwell, Hadley; Jaspers, Ilona; Gilmour, M Ian; Rager, Julia E.
Afiliação
  • Koval LE; Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina27599, United States.
  • Carberry CK; The Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina27599, United States.
  • Kim YH; Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina27599, United States.
  • McDermott E; The Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina27599, United States.
  • Hartwell H; The Center for Environmental Medicine, Asthma and Lung Biology, School of Medicine, The University of North Carolina, Chapel Hill, North Carolina27599, United States.
  • Jaspers I; Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, Durham, North Carolina27711, United States.
  • Gilmour MI; Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina27599, United States.
  • Rager JE; The Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina27599, United States.
Environ Sci Technol ; 56(23): 17131-17142, 2022 12 06.
Article em En | MEDLINE | ID: mdl-36399130

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incêndios Florestais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Environ Sci Technol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incêndios Florestais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Environ Sci Technol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos