Literature DB >> 25907575

Comparison of manual and automated cultures of bone marrow stromal cells for bone tissue engineering.

Hirokazu Akiyama1, Asako Kobayashi2, Masaki Ichimura1, Hiroshi Tone3, Masaru Nakatani1, Minoru Inoue2, Arinobu Tojo2, Hideaki Kagami4.   

Abstract

The development of an automated cell culture system would allow stable and economical cell processing for wider clinical applications in the field of regenerative medicine. However, it is crucial to determine whether the cells obtained by automated culture are comparable to those generated by manual culture. In the present study, we focused on the primary culture process of bone marrow stromal cells (BMSCs) for bone tissue engineering and investigated the feasibility of its automation using a commercially available automated cell culture system in a clinical setting. A comparison of the harvested BMSCs from manual and automated cultures using clinically acceptable protocols showed no differences in cell yields, viabilities, surface marker expression profiles, and in vivo osteogenic abilities. Cells cultured with this system also did not show malignant transformation and the automated process was revealed to be safe in terms of microbial contamination. Taken together, the automated procedure described in this report provides an approach to clinical bone tissue engineering.
Copyright © 2015 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Keywords:  Automated cell culture system; Bone marrow stromal cells; Bone tissue engineering; Osteogenic potential; Regenerative medicine

Mesh:

Year:  2015        PMID: 25907575     DOI: 10.1016/j.jbiosc.2015.03.011

Source DB:  PubMed          Journal:  J Biosci Bioeng        ISSN: 1347-4421            Impact factor:   2.894


  1 in total

1.  Embryoid Body-Explant Outgrowth Cultivation from Induced Pluripotent Stem Cells in an Automated Closed Platform.

Authors:  Hiroshi Tone; Saeko Yoshioka; Hirokazu Akiyama; Akira Nishimura; Masaki Ichimura; Masaru Nakatani; Tohru Kiyono; Masashi Toyoda; Masatoshi Watanabe; Akihiro Umezawa
Journal:  Biomed Res Int       Date:  2016-08-28       Impact factor: 3.411

  1 in total

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