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High-depth sequencing characterization of viral dynamics across tissues in fatal COVID-19 reveals compartmentalized infection.
Normandin, Erica; Rudy, Melissa; Barkas, Nikolaos; Schaffner, Stephen F; Levine, Zoe; Padera, Robert F; Babadi, Mehrtash; Mukerji, Shibani S; Park, Daniel J; MacInnis, Bronwyn L; Siddle, Katherine J; Sabeti, Pardis C; Solomon, Isaac H.
Afiliación
  • Normandin E; Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA. ericanormandin@g.harvard.edu.
  • Rudy M; Department of Systems Biology, Harvard Medical School, Boston, MA, 02115, USA. ericanormandin@g.harvard.edu.
  • Barkas N; Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
  • Schaffner SF; Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
  • Levine Z; Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
  • Padera RF; Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
  • Babadi M; Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, 02115, USA.
  • Mukerji SS; Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA.
  • Park DJ; Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
  • MacInnis BL; Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.
  • Siddle KJ; Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
  • Sabeti PC; Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
  • Solomon IH; Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, 02115, USA.
Nat Commun ; 14(1): 574, 2023 02 02.
Article en En | MEDLINE | ID: mdl-36732505
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos