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2020-11-12Zeitschriftenartikel DOI: 10.25646/9591
Simplified Bioprinting-Based 3D Cell Culture Infection Models for Virus Detection
dc.contributor.authorKoban, Robert
dc.contributor.authorLam, Tobias
dc.contributor.authorSchwarz, Franziska
dc.contributor.authorKloke, Lutz
dc.contributor.authorBürge, Silvio
dc.contributor.authorEllerbrok, Heinz
dc.contributor.authorNeumann, Markus
dc.date.accessioned2022-01-31T08:39:12Z
dc.date.available2022-01-31T08:39:12Z
dc.date.issued2020-11-12none
dc.identifier.other10.3390/v12111298
dc.identifier.urihttp://edoc.rki.de/176904/9286
dc.description.abstractStudies of virus–host interactions in vitro may be hindered by biological characteristics of conventional monolayer cell cultures that differ from in vivo infection. Three-dimensional (3D) cell cultures show more in vivo-like characteristics and may represent a promising alternative for characterisation of infections. In this study, we established easy-to-handle cell culture platforms based on bioprinted 3D matrices for virus detection and characterisation. Different cell types were cultivated on these matrices and characterised for tissue-like growth characteristics regarding cell morphology and polarisation. Cells developed an in vivo-like morphology and long-term cultivation was possible on the matrices. Cell cultures were infected with viruses which differed in host range, tissue tropism, cytopathogenicity, and genomic organisation and virus morphology. Infections were characterised on molecular and imaging level. The transparent matrix substance allowed easy optical monitoring of cells and infection even via live-cell microscopy. In conclusion, we established an enhanced, standardised, easy-to-handle bioprinted 3D-cell culture system. The infection models are suitable for sensitive monitoring and characterisation of virus–host interactions and replication of different viruses under physiologically relevant conditions. Individual cell culture models can further be combined to a multicellular array. This generates a potent diagnostic tool for propagation and characterisation of viruses from diagnostic samples.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subject3D cell cultivationeng
dc.subject3D bioprintingeng
dc.subjectvirus infectioneng
dc.subjectdetectioneng
dc.subjectinfection modeleng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleSimplified Bioprinting-Based 3D Cell Culture Infection Models for Virus Detectionnone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/9286-7
dc.identifier.doihttp://dx.doi.org/10.25646/9591
dc.type.versionpublishedVersionnone
local.edoc.container-titleVirusesnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://www.mdpi.com/1999-4915/12/11/1298none
local.edoc.container-publisher-nameMDPInone
local.edoc.container-volume12none
local.edoc.container-issue11none
local.edoc.container-year2020none
local.edoc.container-firstpage1none
local.edoc.container-lastpage22none
local.edoc.rki-departmentZentrum für Biologische Gefahren und Spezielle Pathogenenone
dc.description.versionPeer Reviewednone

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