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High precision-cut liver slice model to study cell-autonomous antiviral defense of hepatocytes within their microenvironment.
Brugger, Marcus; Laschinger, Melanie; Lampl, Sandra; Schneider, Annika; Manske, Katrin; Esfandyari, Dena; Hüser, Norbert; Hartmann, Daniel; Steiger, Katja; Engelhardt, Stefan; Wohlleber, Dirk; Knolle, Percy A.
Afiliação
  • Brugger M; Institute of Molecular Immunology and Experimental Oncology, School of Medicine, Technical University of Munich, Germany.
  • Laschinger M; Department of Internal Medicine I, School of Medicine, University Hospital München rechts der Isar, Technical University of Munich, Germany.
  • Lampl S; Department of Surgery, School of Medicine, University Hospital München rechts der Isar; Technical University of Munich, Germany.
  • Schneider A; Institute of Molecular Immunology and Experimental Oncology, School of Medicine, Technical University of Munich, Germany.
  • Manske K; Institute of Molecular Immunology and Experimental Oncology, School of Medicine, Technical University of Munich, Germany.
  • Esfandyari D; Institute of Molecular Immunology and Experimental Oncology, School of Medicine, Technical University of Munich, Germany.
  • Hüser N; Institute of Pharmacology and Toxicology, Technical University Munich, Munich, Germany.
  • Hartmann D; Department of Surgery, School of Medicine, University Hospital München rechts der Isar; Technical University of Munich, Germany.
  • Steiger K; Department of Surgery, School of Medicine, University Hospital München rechts der Isar; Technical University of Munich, Germany.
  • Engelhardt S; Institute of Pathology, Technical University of Munich, Germany.
  • Wohlleber D; Institute of Pharmacology and Toxicology, Technical University Munich, Munich, Germany.
  • Knolle PA; Institute of Molecular Immunology and Experimental Oncology, School of Medicine, Technical University of Munich, Germany.
JHEP Rep ; 4(5): 100465, 2022 May.
Article em En | MEDLINE | ID: mdl-35462860
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: JHEP Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: JHEP Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha