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Multi-OMICs landscape of SARS-CoV-2-induced host responses in human lung epithelial cells.
Pinto, Sneha M; Subbannayya, Yashwanth; Kim, Hera; Hagen, Lars; Górna, Maria W; Nieminen, Anni I; Bjørås, Magnar; Espevik, Terje; Kainov, Denis; Kandasamy, Richard K.
Afiliación
  • Pinto SM; Centre of Molecular Inflammation Research (CEMIR), and Department of Clinical and Molecular Medicine (IKOM), Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Subbannayya Y; Centre of Molecular Inflammation Research (CEMIR), and Department of Clinical and Molecular Medicine (IKOM), Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Kim H; Centre of Molecular Inflammation Research (CEMIR), and Department of Clinical and Molecular Medicine (IKOM), Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Hagen L; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
  • Górna MW; Proteomics and Modomics Experimental Core, PROMEC, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
  • Nieminen AI; Structural Biology Group, Biological and Chemical Research Centre, Department of Chemistry, University of Warsaw, Warsaw, Poland.
  • Bjørås M; Institute for Molecular Medicine Finland, University of Helsinki, 00014Helsinki, Finland.
  • Espevik T; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
  • Kainov D; Centre of Molecular Inflammation Research (CEMIR), and Department of Clinical and Molecular Medicine (IKOM), Norwegian University of Science and Technology, 7491 Trondheim, Norway.
  • Kandasamy RK; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
iScience ; 26(1): 105895, 2023 Jan 20.
Article en En | MEDLINE | ID: mdl-36590899

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: IScience Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: IScience Año: 2023 Tipo del documento: Article