Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages.
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| Title: | Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages. |
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| Authors: | Osterman A; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Krenn F; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Iglhaut M; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Badell I; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Lehner A; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Späth PM; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Stern M; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Both H; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Bender S; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Muenchhoff M; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site, Munich, Germany.; COVID‑19 Registry of the LMU Munich (CORKUM), University Hospital, LMU München, Munich, Germany., Graf A; Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany., Krebs S; Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany., Blum H; Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany., Grimmer T; Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany., Durner J; Labor Becker MVZ GbR, Munich, Germany.; Department of Conservative Dentistry and Periodontology, University Hospital, LMU München, Munich, Germany., Czibere L; Labor Becker MVZ GbR, Munich, Germany., Dächert C; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany., Grzimek-Koschewa N; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site, Munich, Germany., Protzer U; German Center for Infection Research (DZIF), Partner Site, Munich, Germany.; Institute of Virology, Technical University of Munich/Helmholtz Zentrum München, Munich, Germany., Kaderali L; Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany., Baldauf HM; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany. baldauf@mvp.lmu.de., Keppler OT; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany. keppler@mvp.lmu.de.; German Center for Infection Research (DZIF), Partner Site, Munich, Germany. keppler@mvp.lmu.de.; COVID‑19 Registry of the LMU Munich (CORKUM), University Hospital, LMU München, Munich, Germany. keppler@mvp.lmu.de. |
| Source: | Medical microbiology and immunology [Med Microbiol Immunol] 2023 Oct; Vol. 212 (5), pp. 307-322. Date of Electronic Publication: 2023 Aug 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0314524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1831 (Electronic) Linking ISSN: 03008584 NLM ISO Abbreviation: Med Microbiol Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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