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]

Melissa Finlay, Laurence A Hill, Georgiana Neag, Binal Patel, Miruna Chipara, Hannah C Lamont, Kathryn Frost, Kieran Patrick, Jonathan W Lewis, Thomas Nicholson, James Edwards, Simon W Jones, Liam Grover, Amy J Naylor*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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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 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.

Original languageEnglish
Article number357
Number of pages37
JournalF1000Research
Volume12
DOIs
Publication statusPublished - 7 May 2023

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