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Unbiased discovery of autoantibodies associated with severe COVID-19 via genome-scale self-assembled DNA-barcoded protein libraries.
Credle, Joel J; Gunn, Jonathan; Sangkhapreecha, Puwanat; Monaco, Daniel R; Zheng, Xuwen Alice; Tsai, Hung-Ji; Wilbon, Azaan; Morgenlander, William R; Rastegar, Andre; Dong, Yi; Jayaraman, Sahana; Tosi, Lorenzo; Parekkadan, Biju; Baer, Alan N; Roederer, Mario; Bloch, Evan M; Tobian, Aaron A R; Zyskind, Israel; Silverberg, Jonathan I; Rosenberg, Avi Z; Cox, Andrea L; Lloyd, Tom; Mammen, Andrew L; Benjamin Larman, H.
Afiliação
  • Credle JJ; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Gunn J; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Sangkhapreecha P; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Monaco DR; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Zheng XA; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Tsai HJ; Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Edgbaston, Birmingham, UK.
  • Wilbon A; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Morgenlander WR; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Rastegar A; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Dong Y; Center for Cell Dynamics and Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Jayaraman S; Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Tosi L; Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA.
  • Parekkadan B; Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA.
  • Baer AN; Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Roederer M; ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA.
  • Bloch EM; Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Tobian AAR; Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Zyskind I; Department of Pediatrics, NYU Langone Medical Center, New York City, NY, USA.
  • Silverberg JI; Department of Pediatrics, Maimonides Medical Center, Brooklyn, NY, USA.
  • Rosenberg AZ; Department of Dermatology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Cox AL; Division of Kidney-Urologic Pathology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Lloyd T; Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Mammen AL; Department of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Benjamin Larman H; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nat Biomed Eng ; 6(8): 992-1003, 2022 08.
Article em En | MEDLINE | ID: mdl-35986181
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Autoanticorpos / COVID-19 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Biomed Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Autoanticorpos / COVID-19 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Biomed Eng Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos