1
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Dächert C, Muenchhoff M, Graf A, Autenrieth H, Bender S, Mairhofer H, Wratil PR, Thieme S, Krebs S, Grzimek-Koschewa N, Blum H, Keppler OT. Rapid and sensitive identification of omicron by variant-specific PCR and nanopore sequencing: paradigm for diagnostics of emerging SARS-CoV-2 variants. Med Microbiol Immunol 2022; 211:71-77. [PMID: 35061086 PMCID: PMC8780046 DOI: 10.1007/s00430-022-00728-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 01/08/2022] [Indexed: 12/19/2022]
Abstract
On November 26, 2021, the World Health Organization classified B.1.1.529 as a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant of concern (VoC), named omicron. Spike-gene dropouts in conventional SARS-CoV-2 PCR systems have been reported over the last weeks as indirect diagnostic evidence for the identification of omicron. Here, we report the combination of PCRs specific for heavily mutated sites in the spike gene and nanopore-based full-length genome sequencing for the rapid and sensitive identification of the first four COVID-19 patients diagnosed in Germany to be infected with omicron on November 28, 2021. This study will assist the unambiguous laboratory-based diagnosis and global surveillance for this highly contagious VoC with an unprecedented degree of humoral immune escape. Moreover, we propose that specialized diagnostic laboratories should continuously update their assays for variant-specific PCRs in the spike gene of SARS-CoV-2 to readily detect and diagnose emerging variants of interest and VoCs. The combination with established nanopore sequencing procedures allows both the rapid confirmation by whole genome sequencing as well as the sensitive identification of newly emerging variants of this pandemic β-coronavirus in years to come.
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Affiliation(s)
- Christopher Dächert
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany
| | - Maximilian Muenchhoff
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Alexander Graf
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Hanna Autenrieth
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany
| | - Sabine Bender
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany
| | - Helga Mairhofer
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany
| | - Paul R Wratil
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany
| | - Susanne Thieme
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Natascha Grzimek-Koschewa
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Oliver T Keppler
- Max von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Pettenkoferstr. 9a, 80336, Munich, Germany.
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2
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Wratil PR, Stern M, Priller A, Willmann A, Almanzar G, Vogel E, Feuerherd M, Cheng CC, Yazici S, Christa C, Jeske S, Lupoli G, Vogt T, Albanese M, Mejías-Pérez E, Bauernfried S, Graf N, Mijocevic H, Vu M, Tinnefeld K, Wettengel J, Hoffmann D, Muenchhoff M, Daechert C, Mairhofer H, Krebs S, Fingerle V, Graf A, Steininger P, Blum H, Hornung V, Liebl B, Überla K, Prelog M, Knolle P, Keppler OT, Protzer U. Three exposures to the spike protein of SARS-CoV-2 by either infection or vaccination elicit superior neutralizing immunity to all variants of concern. Nat Med 2022; 28:496-503. [PMID: 35090165 DOI: 10.1038/s41591-022-01715-4] [Citation(s) in RCA: 154] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 01/25/2022] [Indexed: 11/09/2022]
Abstract
Infection-neutralizing antibody responses after SARS-CoV-2 infection or COVID-19 vaccination are an essential component of antiviral immunity. Antibody-mediated protection is challenged by the emergence of SARS-CoV-2 variants of concern (VoCs) with immune escape properties, such as omicron (B.1.1.529) that is rapidly spreading worldwide. Here, we report neutralizing antibody dynamics in a longitudinal cohort of COVID-19 convalescent and infection-naive individuals vaccinated with mRNA BNT162b2 by quantifying anti-SARS-CoV-2-spike antibodies and determining their avidity and neutralization capacity in serum. Using live-virus neutralization assays, we show that a superior infection-neutralizing capacity against all VoCs, including omicron, developed after either two vaccinations in convalescents or after a third vaccination or breakthrough infection of twice-vaccinated, naive individuals. These three consecutive spike antigen exposures resulted in an increasing neutralization capacity per anti-spike antibody unit and were paralleled by stepwise increases in antibody avidity. We conclude that an infection-plus-vaccination-induced hybrid immunity or a triple immunization can induce high-quality antibodies with superior neutralization capacity against VoCs, including omicron.
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Affiliation(s)
- Paul R Wratil
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany.,German Centre for Infection Research (DZIF), Partner Site, Munich, Germany
| | - Marcel Stern
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Alina Priller
- Institute of Molecular Immunology and Experimental Oncology, University Hospital rechts der Isar, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Annika Willmann
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Giovanni Almanzar
- Pediatric Rheumatology / Special Immunology, Pediatrics Department, University Hospital Würzburg, Würzburg, Germany
| | - Emanuel Vogel
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Martin Feuerherd
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Cho-Chin Cheng
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Sarah Yazici
- Institute of Molecular Immunology and Experimental Oncology, University Hospital rechts der Isar, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Catharina Christa
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Samuel Jeske
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Gaia Lupoli
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Tim Vogt
- Pediatric Rheumatology / Special Immunology, Pediatrics Department, University Hospital Würzburg, Würzburg, Germany
| | - Manuel Albanese
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany.,National Institute of Molecular Genetics (INGM), Milano, Italy
| | - Ernesto Mejías-Pérez
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Stefan Bauernfried
- Gene Center and Department of Biochemistry, LMU München, Munich, Germany
| | - Natalia Graf
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Hrvoje Mijocevic
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Martin Vu
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Kathrin Tinnefeld
- Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Jochen Wettengel
- German Centre for Infection Research (DZIF), Partner Site, Munich, Germany.,Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Dieter Hoffmann
- German Centre for Infection Research (DZIF), Partner Site, Munich, Germany.,Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Maximilian Muenchhoff
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany.,German Centre for Infection Research (DZIF), Partner Site, Munich, Germany
| | - Christopher Daechert
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Helga Mairhofer
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Volker Fingerle
- Bavarian Health and Food Safety Authority (LGL (LGL), Oberschleißheim, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Philipp Steininger
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany
| | - Veit Hornung
- Gene Center and Department of Biochemistry, LMU München, Munich, Germany
| | - Bernhard Liebl
- Bavarian Health and Food Safety Authority (LGL (LGL), Oberschleißheim, Germany
| | - Klaus Überla
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Martina Prelog
- Pediatric Rheumatology / Special Immunology, Pediatrics Department, University Hospital Würzburg, Würzburg, Germany
| | - Percy Knolle
- Institute of Molecular Immunology and Experimental Oncology, University Hospital rechts der Isar, Technical University of Munich (TUM), School of Medicine, Munich, Germany
| | - Oliver T Keppler
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany. .,German Centre for Infection Research (DZIF), Partner Site, Munich, Germany.
| | - Ulrike Protzer
- German Centre for Infection Research (DZIF), Partner Site, Munich, Germany. .,Institute of Virology, Helmholtz Center Munich, Technical University of Munich (TUM), School of Medicine, Munich, Germany.
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3
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Muenchhoff M, Graf A, Krebs S, Quartucci C, Hasmann S, Hellmuth JC, Scherer C, Osterman A, Boehm S, Mandel C, Becker-Pennrich AS, Zoller M, Stubbe HC, Munker S, Munker D, Milger K, Gapp M, Schneider S, Ruhle A, Jocham L, Nicolai L, Pekayvaz K, Weinberger T, Mairhofer H, Khatamzas E, Hofmann K, Spaeth PM, Bender S, Kääb S, Zwissler B, Mayerle J, Behr J, von Bergwelt-Baildon M, Reincke M, Grabein B, Hinske CL, Blum H, Keppler OT. Genomic epidemiology reveals multiple introductions of SARS-CoV-2 followed by community and nosocomial spread, Germany, February to May 2020. ACTA ACUST UNITED AC 2021; 26. [PMID: 34713795 PMCID: PMC8555370 DOI: 10.2807/1560-7917.es.2021.26.43.2002066] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background In the SARS-CoV-2 pandemic, viral genomes are available at unprecedented speed, but spatio-temporal bias in genome sequence sampling precludes phylogeographical inference without additional contextual data. Aim We applied genomic epidemiology to trace SARS-CoV-2 spread on an international, national and local level, to illustrate how transmission chains can be resolved to the level of a single event and single person using integrated sequence data and spatio-temporal metadata. Methods We investigated 289 COVID-19 cases at a university hospital in Munich, Germany, between 29 February and 27 May 2020. Using the ARTIC protocol, we obtained near full-length viral genomes from 174 SARS-CoV-2-positive respiratory samples. Phylogenetic analyses using the Auspice software were employed in combination with anamnestic reporting of travel history, interpersonal interactions and perceived high-risk exposures among patients and healthcare workers to characterise cluster outbreaks and establish likely scenarios and timelines of transmission. Results We identified multiple independent introductions in the Munich Metropolitan Region during the first weeks of the first pandemic wave, mainly by travellers returning from popular skiing areas in the Alps. In these early weeks, the rate of presumable hospital-acquired infections among patients and in particular healthcare workers was high (9.6% and 54%, respectively) and we illustrated how transmission chains can be dissected at high resolution combining virus sequences and spatio-temporal networks of human interactions. Conclusions Early spread of SARS-CoV-2 in Europe was catalysed by superspreading events and regional hotspots during the winter holiday season. Genomic epidemiology can be employed to trace viral spread and inform effective containment strategies.
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Affiliation(s)
- Maximilian Muenchhoff
- 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, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Caroline Quartucci
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Sandra Hasmann
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany
| | - Johannes C Hellmuth
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Munich, Germany
| | - Clemens Scherer
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Andreas Osterman
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Stephan Boehm
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Christopher Mandel
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany
| | - Andrea Sabine Becker-Pennrich
- Department of Anesthesiology, University Hospital, LMU Munich, Munich, Germany.,Department of Medical Information Processing, Biometry and Epidemiology (IBE), LMU Munich, Munich, Germany
| | - Michael Zoller
- Department of Anesthesiology, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Hans Christian Stubbe
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Stefan Munker
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Dieter Munker
- Department of Medicine V, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Katrin Milger
- Department of Medicine V, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Madeleine Gapp
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Stephanie Schneider
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Adrian Ruhle
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Linda Jocham
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Leo Nicolai
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Kami Pekayvaz
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Tobias Weinberger
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Helga Mairhofer
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Elham Khatamzas
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Munich, Germany
| | - Katharina Hofmann
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Patricia M Spaeth
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Sabine Bender
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Stefan Kääb
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Bernhard Zwissler
- Department of Anesthesiology, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Julia Mayerle
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Juergen Behr
- Department of Medicine V, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Michael von Bergwelt-Baildon
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Munich, Germany
| | - Martin Reincke
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany
| | - Beatrice Grabein
- Department of Clinical Microbiology and Hospital Hygiene, University Hospital, LMU Munich, Munich, Germany
| | - Christian Ludwig Hinske
- Department of Anesthesiology, University Hospital, LMU Munich, Munich, Germany.,Department of Medical Information Processing, Biometry and Epidemiology (IBE), LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Oliver T Keppler
- 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, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
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4
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Muenchhoff M, Mairhofer H, Nitschko H, Grzimek-Koschewa N, Hoffmann D, Berger A, Rabenau H, Widera M, Ackermann N, Konrad R, Zange S, Graf A, Krebs S, Blum H, Sing A, Liebl B, Wölfel R, Ciesek S, Drosten C, Protzer U, Boehm S, Keppler OT. Multicentre comparison of quantitative PCR-based assays to detect SARS-CoV-2, Germany, March 2020. Euro Surveill 2020; 25:2001057. [PMID: 32583765 PMCID: PMC7315722 DOI: 10.2807/1560-7917.es.2020.25.24.2001057] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 06/17/2020] [Indexed: 11/25/2022] Open
Abstract
Containment strategies and clinical management of coronavirus disease (COVID-19) patients during the current pandemic depend on reliable diagnostic PCR assays for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we compare 11 different RT-PCR test systems used in seven diagnostic laboratories in Germany in March 2020. While most assays performed well, we identified detection problems in a commonly used assay that may have resulted in false-negative test results during the first weeks of the pandemic.
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Affiliation(s)
- Maximilian Muenchhoff
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
| | - Helga Mairhofer
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
| | - Hans Nitschko
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
| | - Natascha Grzimek-Koschewa
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
| | - Dieter Hoffmann
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Institute of Virology, School of Medicine, Technical University Munich/Helmholtz Zentrum München, Munich, Germany
| | - Annemarie Berger
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Institute of Medical Virology, University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany
| | - Holger Rabenau
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Institute of Medical Virology, University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany
| | - Marek Widera
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Institute of Medical Virology, University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany
| | | | - Regina Konrad
- Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
| | - Sabine Zange
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Bundeswehr Institute of Microbiology, Munich, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig Maximilian University, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig Maximilian University, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig Maximilian University, Munich, Germany
| | - Andreas Sing
- Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
| | - Bernhard Liebl
- Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
| | - Roman Wölfel
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Bundeswehr Institute of Microbiology, Munich, Germany
| | - Sandra Ciesek
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Institute of Medical Virology, University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany
| | - Christian Drosten
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Institute of Virology, Charité University Medicine, Berlin, Germany
| | - Ulrike Protzer
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
- Institute of Virology, School of Medicine, Technical University Munich/Helmholtz Zentrum München, Munich, Germany
| | - Stephan Boehm
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
| | - Oliver T Keppler
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University, Munich, Germany
- German Center for Infection Research, Partner Site Munich and Associated Partner Site Charité, Berlin and Associated Partner Site Frankfurt, Germany
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Motamedi N, Mairhofer H, Nitschko H, Jäger G, Koszinowski UH. The polyomaviruses WUPyV and KIPyV: a retrospective quantitative analysis in patients undergoing hematopoietic stem cell transplantation. Virol J 2012; 9:209. [PMID: 22988938 PMCID: PMC3463464 DOI: 10.1186/1743-422x-9-209] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2011] [Accepted: 09/13/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The polyomaviruses WUPyV and KIPyV have been detected in various sample types including feces indicating pathogenicity in the gastrointestinal (GI) system. However, quantitative viral load data from other simultaneously collected sample types are missing. As a consequence, primary replication in the GI system cannot be differentiated from swallowed virus from the respiratory tract. Here we present a retrospective quantitative longitudinal analysis in simultaneously harvested specimens from different organ sites of patients undergoing hematopoietic stem cell transplantation (HSCT). This allows the definition of sample types where deoxyribonucleic acid (DNA) detection can be expected and, as a consequence, the identification of their primary replication site. FINDINGS Viral DNA loads from 37 patients undergoing HSCT were quantified in respiratory tract secretions (RTS), stool and urine samples as well as in leukocytes (n = 449). Leukocyte-associated virus could not be found. WUPyV was found in feces, RTS and urine samples of an infant, while KIPyV was repeatedly detected in RTS and stool samples of 4 adult patients.RTS and stool samples were matched to determine the viral load difference showing a mean difference of 2.3 log copies/ml (p < 0.001). CONCLUSIONS The data collected in this study suggest that virus detection in the GI tract results from swallowed virus from the respiratory tract (RT). We conclude that shedding from the RT should be ruled out before viral DNA detection in the feces can be correlated to GI symptoms.
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Affiliation(s)
- Nasim Motamedi
- Max von Pettenkofer-Institute, Ludwig-Maximilians-University, Department of Virology, Pettenkoferstr, 9a, Munich D-80336, Germany.
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Campe H, Hillebrand GF, Mairhofer H, Nitschko H, Jäger G. Undetected chronic hepatitis B virus infection of a vaccinated dialysis patient after liver transplantation. Nephrol Dial Transplant 2005; 20:1492-4. [PMID: 15840679 DOI: 10.1093/ndt/gfh823] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Hartmut Campe
- Max von Pettenkofer-Institute, Department of Virology, Ludwig-Maximilians-University, Pettenkoferstr. 9a, 80336 Munich, Germany.
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Jilg W, Bogedain C, Mairhofer H, Gu SY, Wolf H. The Epstein-Barr virus-encoded glycoprotein gp 110 (BALF 4) can serve as a target for antibody-dependent cell-mediated cytotoxicity (ADCC). Virology 1994; 202:974-7. [PMID: 8030258 DOI: 10.1006/viro.1994.1421] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Antibody-dependent cell-mediated cytotoxicity (ADCC) is thought to play a major role in controlling the spread of the Epstein-Barr virus (EBV) in an infected individual. Recently, the viral membrane protein gp 350/220, which is also expressed at the surface of the virus producing cell, was identified as a target for ADCC reactions. Due to its glycoprotein nature, the EBV protein gp 110 is another possible ADCC target. It is one of the most abundant proteins found during the late phase of viral replication; until now, however, researchers have not been able to localize it on the surface of EBV positive cells. By means of recombinant vaccinia viruses containing the genes for gp 350/220 and gp 110, respectively, we expressed these proteins in lymphoblastoid cells, which were then used as targets in ADCC studies with sera from EBV-positive and -negative individuals. In these experiments we were able to demonstrate the feasibility of our approach for the investigation of EBV-specific ADCC reactions and could confirm the role of gp 350/220 as an ADCC target. Furthermore, we were able to show that gp 110 can also be recognized in an ADCC reaction, proving that at least some gp 110 molecules must be expressed at the cell surface.
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Affiliation(s)
- W Jilg
- Institut für Medizinische Mikrobiologie und Hygiene, Universität Regensburg, Germany
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8
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Marschall M, Schwarzmann F, Leser U, Oker B, Alliger P, Mairhofer H, Wolf H. The BI'LF4 trans-activator of Epstein-Barr virus is modulated by type and differentiation of the host cell. Virology 1991; 181:172-9. [PMID: 1847255 DOI: 10.1016/0042-6822(91)90482-q] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
We have analyzed the activity and regulated expression of a new Epstein-Barr virus (EBV) trans-activator (I'ta) encoded by left reading frame 4 (BI'LF4) of the BamHI I'fragment. The gene was detected in all genomes of established EBV strains and individual isolates, with the exception of B95-8, where the type-specific deletion of this open reading frame is tolerated in vitro. Specific trans-activation of two EBV promoters (early MS and I'ta promoter) could be shown in cotransfection assays. The I'ta product affected autoactivation but had no influence on heterologous target promoters. The I'ta promoter segment was shown to be costimulated in the process of host cell differentiation in the absence of other EBV gene products. Expression of the reading frame in bacteria identified a 48-kDa protein as a stable gene product. I'ta-specific antibodies were detected in sera from EBV-positive persons (nasopharyngeal carcinoma). When expressed with suitable eucaryotic vectors, a nuclear protein could be immunostained in transfected cells. Our experiments suggest a cell type-specific requirement for I'ta in the lytic cycle of EBV at a determined differentiation stage of the host cell.
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Affiliation(s)
- M Marschall
- Max von Pettenkofer-Institute, Munich, Federal Republic of Germany
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9
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Jilg W, Voltz R, Markert-Hahn C, Mairhofer H, Münz I, Wolf H. Expression of class I major histocompatibility complex antigens in Epstein-Barr virus-carrying lymphoblastoid cell lines and Burkitt lymphoma cells. Cancer Res 1991; 51:27-32. [PMID: 1899042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Epstein-Barr virus (EBV) carrying lymphoblastoid cell lines (LCLs) and EBV-positive Burkitt lymphoma (BL) cells were compared for their expression of class I antigens of the major histocompatibility complex. Five common BL lines, LCLs, pokeweed mitogen-stimulated blasts and resting B-cells from healthy donors, and eight pairs of BL cells and LCLs, each pair originating from one patient, were tested. Quantitative analysis was performed using a radioimmunoassay; qualitative aspects were studied by one- and two-dimensional gel electrophoresis. In general, LCLs expressed significantly higher amounts of class I antigens than BL cells, the latter showing class I densities similar to or lower than peripheral resting B-cells. From analysis of the expression of class I-specific RNA, there is some evidence that class I antigen expression is regulated on the transcriptional level. In two BL cells studied, class I expression could be enhanced by gamma-interferon, whereas the corresponding LCLs seemed to be refractory to this treatment. One- and two-dimensional gel electrophoresis showed that in some BL lines, in addition to the generally lower class I expression, distinct class I specificities were down-regulated. None of these alterations in class I expression was EBV specific; however, they may well play a role in the recognition of BL cells and LCLs by cellular immune mechanisms. Thus, down-regulation of class I antigens may contribute to the resistance of BL cells to cytotoxic T-lymphocytes, whereas their enhanced expression may improve the recognition of EBV-infected LCLs.
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Affiliation(s)
- W Jilg
- Max von Pettenkofer-Institute for Hygiene and Medical Microbiology, University of Munich, Federal Republic of Germany
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10
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Bouvagnet P, Mairhofer H, Leger JO, Puech P, Leger JJ. Distribution pattern of alpha and beta myosin in normal and diseased human ventricular myocardium. Basic Res Cardiol 1989; 84:91-102. [PMID: 2647075 DOI: 10.1007/bf01907006] [Citation(s) in RCA: 45] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
All fibers in three normal, four dilated, and two ischemic human ventricles were classified according to their myosin content using three sets of monoclonal antibodies each specific for one myosin heavy chain isoform (alpha, beta and beta'). Numerous fibers contained only beta myosin heavy chain (denoted as beta fibers), others contained either alpha and beta, or beta and beta' myosin heavy chain (denoted as alpha beta and beta beta' fibers, respectively). The percentages of alpha beta fibers were systematically determined along the walls of seven homologous regions of the ventricular myocardium. In all ventricles, there was an alpha beta-fiber transmural gradient, with less alpha beta fiber in the subendocardium than in the subepicardium. More alpha beta fibers were found in the right than in the left ventricular wall but there was no difference between the mid-portion and the apex of the free wall of each ventricle. The diseased ventricles contained a lower alpha beta fiber percentage than the normal hearts. beta beta' fibers were very rare in the normal ventricles (less than 5%) and almost inexistent in pathological hearts. The correlation between the mean alpha beta fiber percentages of the diseased hearts and their cardiac indices (r = 0.88, P less than 0.05) suggests that the small amount of alpha myosin distributed in a large number of ventricular fibers could play a role in the contractile performance of the heart. In conclusion, this study provides evidence for 1) an alpha beta fiber transmural gradient, and 2) a lower alpha myosin ratio in diseased than in normal human ventricle.
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Affiliation(s)
- P Bouvagnet
- Institut National de la Santé et de la Recherche Médicale, Inserm U 300 LPM2, Faculté de Pharmacie, Montpellier, France
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Dechesne CA, Léger J, Bouvagnet P, Mairhofer H, Léger JJ. Local diversity of myosin expression in mammalian atrial muscles. Variations depending on age and thyroid state in the rat and the rabbit. Circ Res 1985; 57:767-75. [PMID: 3902278 DOI: 10.1161/01.res.57.5.767] [Citation(s) in RCA: 28] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Rat, rabbit, pig, and bovine atrial myocardia were investigated with anti-alpha and anti-beta myosin heavy chain monoclonal antibodies. Analysis of atrial fibers by indirect immunofluorescence and assay of myosin heavy chains in tissue micro samples by immunoaffinity chromatography revealed both heterogeneity and plasticity in the atrial myosin heavy chains, undetected by electrophoresis of native atrial myosins under nondenaturing conditions. We found both alpha- and beta-like myosin heavy chains to be expressed in rat and rabbit, as they are in pig and bovine, atrial myocardia. They were regionally distributed within atrial muscles. The beta-like myosin heavy chains were present at much lower levels in rat and rabbit atria than in pig and bovine atria. Young rat atrial myosin was composed of only alpha-like heavy chains. In the rat and the rabbit, hyperthyroidism induced a beta- to alpha-like myosin heavy chain transition, which was considerable in the right atria and complete in the left atria. In the rat, thyroidectomy induced a moderate alpha- to beta-like myosin heavy chain transition, visible in the left atria. The significance of this atrial myosin heavy chain polymorphism is discussed in relation to the existence of anatomical localizations of the two myosin variants.
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12
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Voet L, Krefft M, Mairhofer H, Williams KL. An assay for pattern formation in dictyostelium discoideum using monoclonal antibodies, flow cytometry, and subsequent data analysis. Cytometry 1984; 5:26-33. [PMID: 6365483 DOI: 10.1002/cyto.990050106] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
An assay for determining the proportions of prespore cells in a simple multicellular organism, the slug stage of Dictyostelium discoideum, was established using a prespore-specific monoclonal antibody and a fluorescence-activated cell sorter. Appropriate techniques for data analysis were developed. The effects of slug size and age were determined. Small slugs have a lower percentage of prespore cells than large slugs. The percentage of prespore cells increases and then decreases in slugs aged between a few hours and 9 days. Pronounced effects were observed on the size of cells in aging slugs. In particular unlabelled (mostly prestalk) cells were larger than prespore cells in young slugs, but after 6 days migration they became considerably smaller than prespore cells. The fact that all unlabelled cells were coordinately shifted in size, suggests that these cells (which comprise prestalk, prestalklike, and predisc cells) are related to each other.
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13
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Krefft M, Voet L, Gregg JH, Mairhofer H, Williams KL. Evidence that positional information is used to establish the prestalk-prespore pattern in Dictyostelium discoideum
aggregates. EMBO J 1984; 3:201-6. [PMID: 16453494 PMCID: PMC557320 DOI: 10.1002/j.1460-2075.1984.tb01784.x] [Citation(s) in RCA: 49] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Two contrasting mechanisms have been proposed for the establishment of the prestalk-prespore pattern in the multicellular aggregate of the simple eukaryote Dictyostelium discoideum. One involves intermingled, non-position-dependent cell differentiation followed by sorting out which produces the pattern of prestalk cells in the anterior region and prespore cells posteriorly. The second mechanism involves patterning according to the position of cells within the aggregate, in which case intermingled cell types are not expected. Here we use a monoclonal antibody (MUD1), recognising a prespore cell surface antigen, to study the initial appearance of prespore cells in aggregates. Quantitative studies were made with a flow cytometer and frozen sections were used to localise the cells expressing the prespore antigen. This antigen first appeared at the onset of tip formation in the centre of aggregates in a position-dependent fashion. The prespore antigen was not detected in the tip region or in streams of cells entering the aggregate. We re-examined the evidence on which the non-position-dependent differentiation model is based. Our results support the positional model for pattern formation.
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Affiliation(s)
- M Krefft
- Max-Planck-Institut für Biochemie, D-8033 Martinsried bei München, FRG
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14
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Krefft M, Voet L, Mairhofer H, Williams KL. Analysis of proportion regulation in slugs of Dictyostelium discoideum using a monoclonal antibody and a FACS-IV. Exp Cell Res 1983; 147:235-9. [PMID: 6617765 DOI: 10.1016/0014-4827(83)90291-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
A quantitative assay for estimating the proportion of prespore cells in D. discoideum slugs was established by labelling disaggregated slug cells with a prespore specific monoclonal antibody and analysing the cell population with a FACS-IV. The method is validated using a wild-type strain and its stalky mutant. "Wild-type" strains have different proportions of prespore cells and it is demonstrated that slugs of some strains have an increased percentage of prespore cells when migrated in the dark compared to the light and in the presence of EGTA. The technique is rapid and will make possible genetic analysis of proportion regulation in D. discoideum.
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