Details
| Original language | English |
|---|---|
| Article number | e00023 |
| Journal | Bioprinting |
| Volume | 11 |
| Publication status | Published - Sept 2018 |
| Externally published | Yes |
Abstract
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.
Keywords
- 3D bioprinting, Cell proliferation, Cell viability, Flow cytometry, Process development
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Biotechnology
- Engineering(all)
- Biomedical Engineering
- Computer Science(all)
- Computer Science Applications
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In: Bioprinting, Vol. 11, e00023, 09.2018.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - 3D Bioprinting–Flow Cytometry as Analytical Strategy for 3D Cell Structures
AU - Gretzinger, Sarah
AU - Beckert, Nicole
AU - Gleadall, Andrew
AU - Lee-Thedieck, Cornelia
AU - Hubbuch, Jürgen
N1 - Funding information: This work was supported by the Helmholtz Program “BioInterfaces in Technology and Medicine (BIFTM).” We thank Professor Hartwig and co-workers from the Food Chemistry and Toxicology Group and Professor Franzreb and co-workers from the Institute of Functional Interfaces of the Karlsruhe Institute of Technology (KIT) for sharing their labs and equipment. We would also like to thank Professor Maechler from the Department of Cell Physiology and Metabolism of the University of Geneva Medical Centre, Switzerland, for providing the rat beta-cell line INS-1E. Finally, we acknowledge Stefanie Limbrunner (KIT) and Saskia Kraus (KIT) for excellent technical assistance.
PY - 2018/9
Y1 - 2018/9
N2 - 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.
AB - 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.
KW - 3D bioprinting
KW - Cell proliferation
KW - Cell viability
KW - Flow cytometry
KW - Process development
UR - http://www.scopus.com/inward/record.url?scp=85054444889&partnerID=8YFLogxK
U2 - 10.1016/j.bprint.2018.e00023
DO - 10.1016/j.bprint.2018.e00023
M3 - Article
VL - 11
JO - Bioprinting
JF - Bioprinting
M1 - e00023
ER -