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      Ex vivo 3D osteocyte network construction with primary murine bone cells

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          Abstract

          Osteocytes reside as three-dimensionally (3D) networked cells in the lacunocanalicular structure of bones and regulate bone and mineral homeostasis. Despite of their important regulatory roles, in vitro studies of osteocytes have been challenging because: (1) current cell lines do not sufficiently represent the phenotypic features of mature osteocytes and (2) primary cells rapidly differentiate to osteoblasts upon isolation. In this study, we used a 3D perfusion culture approach to: (1) construct the 3D cellular network of primary murine osteocytes by biomimetic assembly with microbeads and (2) reproduce ex vivo the phenotype of primary murine osteocytes, for the first time to our best knowledge. In order to enable 3D construction with a sufficient number of viable cells, we used a proliferated osteoblastic population of healthy cells outgrown from digested bone chips. The diameter of microbeads was controlled to: (1) distribute and entrap cells within the interstitial spaces between the microbeads and (2) maintain average cell-to-cell distance to be about 19 µm. The entrapped cells formed a 3D cellular network by extending and connecting their processes through openings between the microbeads. Also, with increasing culture time, the entrapped cells exhibited the characteristic gene expressions ( SOST and FGF23) and nonproliferative behavior of mature osteocytes. In contrast, 2D-cultured cells continued their osteoblastic differentiation and proliferation. This 3D biomimetic approach is expected to provide a new means of: (1) studying flow-induced shear stress on the mechanotransduction function of primary osteocytes, (2) studying physiological functions of 3D-networked osteocytes with in vitro convenience, and (3) developing clinically relevant human bone disease models.

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          Most cited references21

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          Osteoporosis: now and the future.

          Osteoporosis is a common disease characterised by a systemic impairment of bone mass and microarchitecture that results in fragility fractures. With an ageing population, the medical and socioeconomic effect of osteoporosis, particularly postmenopausal osteoporosis, will increase further. A detailed knowledge of bone biology with molecular insights into the communication between bone-forming osteoblasts and bone-resorbing osteoclasts and the orchestrating signalling network has led to the identification of novel therapeutic targets. Novel treatment strategies have been developed that aim to inhibit excessive bone resorption and increase bone formation. The most promising novel treatments include: denosumab, a monoclonal antibody for receptor activator of NF-κB ligand, a key osteoclast cytokine; odanacatib, a specific inhibitor of the osteoclast protease cathepsin K; and antibodies against the proteins sclerostin and dickkopf-1, two endogenous inhibitors of bone formation. This overview discusses these novel therapies and explains their underlying physiology. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Buried alive: how osteoblasts become osteocytes.

            During osteogenesis, osteoblasts lay down osteoid and transform into osteocytes embedded in mineralized bone matrix. Despite the fact that osteocytes are the most abundant cellular component of bone, little is known about the process of osteoblast-to-osteocyte transformation. What is known is that osteoblasts undergo a number of changes during this transformation, yet retain their connections to preosteoblasts and osteocytes. This review explores the osteoblast-to-osteocyte transformation during intramembranous ossification from both morphological and molecular perspectives. We investigate how these data support five schemes that describe how an osteoblast could become entrapped in the bone matrix (in mammals) and suggest one of the five scenarios that best fits as a model. Those osteoblasts on the bone surface that are destined for burial and destined to become osteocytes slow down matrix production compared to neighbouring osteoblasts, which continue to produce bone matrix. That is, cells that continue to produce matrix actively bury cells producing less or no new bone matrix (passive burial). We summarize which morphological and molecular changes could be used as characters (or markers) to follow the transformation process. 2005 Wiley-Liss, Inc.
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              Dynamics of the transition from osteoblast to osteocyte.

              Osteocytes are derived from osteoblasts and make up over 90% of the cells in bone. However, the mechanisms that control the differentiation of osteoblasts into osteocytes embedded in bone matrix are not well understood. With the recent developments of transgenic models for manipulating gene expression in osteocytes and of transgenic mice carrying lineage reporters for osteoblasts and osteocytes, unprecedented new insights are becoming possible. In this article we review recent advances, such as comparative gene and protein expression studies, that are delineating the changes in gene and protein expression that accompany osteocyte differentiation. We also review recent studies in which time-lapse dynamic imaging approaches have been used to visualize osteoblast and osteocyte populations within bone. These approaches reveal the key role of cell motility in bone cell function and highlight the dynamic nature of mineralized tissues. Changes in motile properties of the cell may be key in the transition from osteoblast to osteocyte, as reflected in the altered expression of many molecules involved in cytoskeletal function.
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                Author and article information

                Journal
                Bone Res
                Bone Res
                Bone Research
                Nature Publishing Group
                2095-4700
                2095-6231
                15 September 2015
                2015
                : 3
                : 15026
                Affiliations
                [1 ]Department of Materials Science and Chemical Engineering, Stevens Institute of Technology , Hoboken, NJ, USA
                [2 ]John Theurer Cancer Center, Hackensack University Medical Center , Hackensack, NJ, USA
                Author notes
                [✝]

                These Authors contributed equally to this work.

                Article
                boneres201526
                10.1038/boneres.2015.26
                4576492
                26421212
                64eb9d13-b9fa-4db3-8e6c-dbf52d54d949
                Copyright © 2013 Sichuan University

                This license allows readers to copy, distribute and transmit the Contributionas long as it attributed back to the author. Readers are permitted to alter, transform or build upon the Contribution as long as the resulting work is then distributed under this is a similar license. Readers are notpermitted touse theContributionfor commercial purposes. Please read the full license for further details at - http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                : 10 June 2015
                : 14 July 2015
                : 11 August 2015
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