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A combined experimental-computational approach uncovers a role for the Golgi matrix protein Giantin in breast cancer progression.
Ghannoum, Salim; Fantini, Damiano; Zahoor, Muhammad; Reiterer, Veronika; Phuyal, Santosh; Leoncio Netto, Waldir; Sørensen, Øystein; Iyer, Arvind; Sengupta, Debarka; Prasmickaite, Lina; Mælandsmo, Gunhild Mari; Köhn-Luque, Alvaro; Farhan, Hesso.
Afiliación
  • Ghannoum S; Institute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Oslo, Norway.
  • Fantini D; Department of Urology, Northwestern University, Chicago, Illinois, United States of America.
  • Zahoor M; Institute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Oslo, Norway.
  • Reiterer V; Institute of Pathophysiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Phuyal S; Institute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Oslo, Norway.
  • Leoncio Netto W; Oslo Centre for Biostatistics and Epidemiology, Faculty of Medicine, University of Oslo, Oslo, Norway.
  • Sørensen Ø; Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
  • Iyer A; Department of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
  • Sengupta D; Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.
  • Prasmickaite L; Centre for Artificial Intelligence, Indraprastha Institute of Information Technology, Delhi, India.
  • Mælandsmo GM; Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
  • Köhn-Luque A; Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
  • Farhan H; Department of Medical Biology, UiT-The Arctic University of Norway, Tromsø, Norway.
PLoS Comput Biol ; 19(4): e1010995, 2023 04.
Article en En | MEDLINE | ID: mdl-37068117
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Proteínas de la Membrana Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Proteínas de la Membrana Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Estados Unidos