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Autor(en): Erben, Amelie
Hörning, Marcel
Hartmann, Bastian
Becke, Tanja
Eisler, Stephan A.
Southan, Alexander
Cranz, Séverine
Hayden, Oliver
Kneidinger, Nikolaus
Königshoff, Melanie
Lindner, Michael
Tovar, Günter E. M.
Burgstaller, Gerald
Clausen‐Schaumann, Hauke
Sudhop, Stefanie
Heymann, Michael
Titel: Precision 3D‐printed cell scaffolds mimicking native tissue composition and mechanics
Erscheinungsdatum: 2020
Dokumentart: Zeitschriftenartikel
Seiten: 15
Erschienen in: Advanced healthcare materials (2020), No. 2000918
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-111792
http://elib.uni-stuttgart.de/handle/11682/11179
http://dx.doi.org/10.18419/opus-11162
ISSN: 2192-2659
Zusammenfassung: Cellular dynamics are modeled by the 3D architecture and mechanics of the extracellular matrix (ECM) and vice versa. These bidirectional cell‐ECM interactions are the basis for all vital tissues, many of which have been investigated in 2D environments over the last decades. Experimental approaches to mimic in vivo cell niches in 3D with the highest biological conformity and resolution can enable new insights into these cell‐ECM interactions including proliferation, differentiation, migration, and invasion assays. Here, two‐photon stereolithography is adopted to print up to mm‐sized high‐precision 3D cell scaffolds at micrometer resolution with defined mechanical properties from protein‐based resins, such as bovine serum albumin or gelatin methacryloyl. By modifying the manufacturing process including two‐pass printing or post‐print crosslinking, high precision scaffolds with varying Young's moduli ranging from 7‐300 kPa are printed and quantified through atomic force microscopy. The impact of varying scaffold topographies on the dynamics of colonizing cells is observed using mouse myoblast cells and a 3D‐lung microtissue replica colonized with primary human lung fibroblast. This approach will allow for a systematic investigation of single‐cell and tissue dynamics in response to defined mechanical and bio‐molecular cues and is ultimately scalable to full organs.
Enthalten in den Sammlungen:04 Fakultät Energie-, Verfahrens- und Biotechnik

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
erben_2020_support_1.pdfSupporting information947,48 kBAdobe PDFÖffnen/Anzeigen
erben_2020_support_2.m4vSupplemental movie 18,04 MBUnknownÖffnen/Anzeigen
erben_2020_support_3.m4vSupplemental movie 26,41 MBUnknownÖffnen/Anzeigen
erben_2020_support_4.m4vSupplemental movie 34,38 MBUnknownÖffnen/Anzeigen
erben_2020_support_5.wmvSupplemental movie 45,19 MBUnknownÖffnen/Anzeigen
erben_2020.pdfFull paper18,87 MBAdobe PDFÖffnen/Anzeigen


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