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A detailed methodology for the long-term in vitro culture and analysis of three-dimensional, self-structuring bone models generated from cell lines or primary osteoblastic cell populations [version 2; peer review: 1 approved, 3 approved with reservations]
- Source :
- F1000Research, Vol 12 (2024)
- Publication Year :
- 2024
- Publisher :
- F1000 Research Ltd, 2024.
-
Abstract
- Background There are insufficient in vitro bone models that accommodate long-term culture of osteoblasts and support their differentiation to osteocytes. The increased demand for effective therapies for bone diseases, and the ethical requirement to replace animals in research, warrants the development of such models. Here we present an in-depth protocol to prepare, create and maintain three-dimensional, in vitro, self-structuring bone models that support osteocytogenesis and long-term osteoblast survival (>1 year). Methods Osteoblastic cells are seeded on a fibrin hydrogel, cast between two beta-tricalcium phosphate anchors. Analytical methods optimised for these self-structuring bone model (SSBM) constructs, including RT-qPCR, immunofluorescence staining and XRF, are described in detail. Results Over time, the cells restructure and replace the initial matrix with a collagen-rich, mineralising one; and demonstrate differentiation towards osteocytes within 12 weeks of culture. Conclusions Whilst optimised using a secondary human cell line (hFOB 1.19), this protocol readily accommodates osteoblasts from other species (rat and mouse) and origins (primary and secondary). This simple, straightforward method creates reproducible in vitro bone models that are responsive to exogenous stimuli, offering a versatile platform for conducting preclinical translatable research studies.
- Subjects :
- Osteocyte
bone
animal reduction
3D model
in vitro culture
eng
Medicine
Science
Subjects
Details
- Language :
- English
- ISSN :
- 20461402
- Volume :
- 12
- Database :
- Directory of Open Access Journals
- Journal :
- F1000Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b76abd1f90334018a55f178824171e2b
- Document Type :
- article
- Full Text :
- https://doi.org/10.12688/f1000research.130779.2