3D bioprinting – Flow cytometry as analytical strategy for 3D cell structures
Autor: | Nicole Beckert, Cornelia Lee-Thedieck, Jürgen Hubbuch, Sarah Gretzinger, Andrew Gleadall |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
3D bioprinting medicine.diagnostic_test Process (engineering) Computer science business.industry Biomedical Engineering 3D printing 02 engineering and technology 021001 nanoscience & nanotechnology Regenerative medicine Computer Science Applications law.invention Flow cytometry 03 medical and health sciences 030104 developmental biology Tissue engineering law medicine Analytical strategy Process optimization Biochemical engineering 0210 nano-technology business Biotechnology |
Zdroj: | Bioprinting. 11:e00023 |
ISSN: | 2405-8866 |
DOI: | 10.1016/j.bprint.2018.e00023 |
Popis: | The importance of 3D printing technologies increased significantly over the recent years. They are considered to have a huge impact in regenerative medicine and tissue engineering, since 3D bioprinting enables the production of cell-laden 3D scaffolds. Transition from academic research to pharmaceutical industry or clinical applications, however, is highly dependent on developing a robust and well-known process, while maintaining critical cell characteristics. Hence, a directed and systematic approach to 3D bioprinting process development is required, which also allows for the monitoring of these cell characteristics. This work presents the development of a flow cytometry-based analytical strategy as a tool for 3D bioprinting research. The development was based on a model process using a commercially available alginate-based bioink, the β-cell line INS-1E, and direct dispensing as 3D bioprinting method. We demonstrated that this set-up enabled viability and proliferation analysis. Additionally, use of an automated sampler facilitated high-throughput screenings. Finally, we showed that each process step, e.g. suspension of cells in bioink or 3D printing, cross-linking of the alginate scaffold after printing, has a crucial impact on INS-1E viability. This reflects the importance of process optimization in 3D bioprinting and the usefulness of the flow cytometry-based analytical strategy described here. The presented strategy has a great potential as a cell characterisation tool for 3D bioprinting and may contribute to a more directed process development. |
Databáze: | OpenAIRE |
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