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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.
  • 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 in English | MEDLINE | ID: covidwho-2000897
ABSTRACT
Pathogenic autoreactive antibodies that may be associated with life-threatening coronavirus disease 2019 (COVID-19) remain to be identified. Here, we show that self-assembled genome-scale libraries of full-length proteins covalently coupled to unique DNA barcodes for analysis by sequencing can be used for the unbiased identification of autoreactive antibodies in plasma samples. By screening 11,076 DNA-barcoded proteins expressed from a sequence-verified human ORFeome library, the method, which we named MIPSA (for Molecular Indexing of Proteins by Self-Assembly), allowed us to detect circulating neutralizing type-I and type-III interferon (IFN) autoantibodies in five plasma samples from 55 patients with life-threatening COVID-19. In addition to identifying neutralizing type-I IFN-α and IFN-ω autoantibodies and other previously known autoreactive antibodies in patient plasma, MIPSA enabled the detection of as yet unidentified neutralizing type-III anti-IFN-λ3 autoantibodies that were not seen in healthy plasma samples or in convalescent plasma from ten non-hospitalized individuals with COVID-19. The low cost and simple workflow of MIPSA will facilitate unbiased high-throughput analyses of protein-antibody, protein-protein and protein-small-molecule interactions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Autoantibodies / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Nat Biomed Eng Year: 2022 Document Type: Article Affiliation country: S41551-022-00925-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Autoantibodies / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Nat Biomed Eng Year: 2022 Document Type: Article Affiliation country: S41551-022-00925-y