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Journal of Visualized Experiments
Article . 2015 . Peer-reviewed
Data sources: Crossref
Journal of Visualized Experiments
Article . 2015 . Peer-reviewed
Data sources: Crossref
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Bone Conditioned Medium: Preparation and Bioassay

Authors: Caballé Serrano, Jordi; Sawada, Kosaku; Schuldt Filho, Günther; Bosshardt, Dieter; Buser, Daniel; Gruber, Reinhard;

Bone Conditioned Medium: Preparation and Bioassay

Abstract

Autologous bone grafts are widely used in oral and maxillofacial surgery, orthopedics, and traumatology. Autologous bone grafts not only replace missing bone, they also support the complex process of bone regeneration. This favorable behavior of autografts is attributed to the three characteristics: osteoconductivity, osteogenicity, and osteoinductivity. However, there is another aspect: Bone grafts release a myriad of molecules, including growth factors, which can target mesenchymal cells involved in bone regeneration. The paracrine properties of bone grafts can be studied in vitro by the use of bone-conditioned medium (BCM). Here we present a protocol on how to prepare bone-conditioned medium from native pig cortical bone, and bone that underwent thermal processing or demineralization. Cells can be directly exposed to BCM or seeded onto biomaterials, such as collagen membranes, previously soaked with BCM. We give examples for in vitro bioassays with mesenchymal cells on the expression of TGF-β regulated genes. The presented protocols should encourage to further reveal the paracrine effects of bone grafts during bone regeneration and open a path for translational research in the broad field of reconstructive surgery.

Country
Switzerland
Keywords

Bone Regeneration, Bone Transplantation, Swine, Cell Culture Techniques, 610 Medicine & health, Biocompatible Materials, Mesenchymal Stem Cells, Transplantation, Autologous, Bone and Bones, Transforming Growth Factor beta, Culture Media, Conditioned, Animals, Humans, Intercellular Signaling Peptides and Proteins, Biological Assay

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    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Average
Green
bronze