Micropatterning of endothelial cells to create a capillary-like network with defined architecture by laser-assisted bioprinting View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Olivia Kérourédan, Jean-Michel Bourget, Murielle Rémy, Sylvie Crauste-Manciet, Jérôme Kalisky, Sylvain Catros, Noëlie B. Thébaud, Raphaël Devillard

ABSTRACT

Development of a microvasculature into tissue-engineered bone substitutes represents a current challenge. Seeding of endothelial cells in an appropriate environment can give rise to a capillary-like network to enhance prevascularization of bone substitutes. Advances in biofabrication techniques, such as bioprinting, could allow to precisely define a pattern of endothelial cells onto a biomaterial suitable for in vivo applications. The aim of this study was to produce a microvascular network following a defined pattern and preserve it while preparing the surface to print another layer of endothelial cells. We first optimise the bioink cell concentration and laser printing parameters and then develop a method to allow endothelial cells to survive between two collagen layers. Laser-assisted bioprinting (LAB) was used to pattern lines of tdTomato-labeled endothelial cells cocultured with mesenchymal stem cells seeded onto a collagen hydrogel. Formation of capillary-like structures was dependent on a sufficient local density of endothelial cells. Overlay of the pattern with collagen I hydrogel containing vascular endothelial growth factor (VEGF) allowed capillary-like structures formation and preservation of the printed pattern over time. Results indicate that laser-assisted bioprinting is a valuable technique to pre-organize endothelial cells into high cell density pattern in order to create a vascular network with defined architecture in tissue-engineered constructs based on collagen hydrogel. More... »

PAGES

28

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10856-019-6230-1

DOI

http://dx.doi.org/10.1007/s10856-019-6230-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112073988

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30747358


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