Differentiation of 3D‐shape‐controlled mouse neural stem cell to neural tissues in closed agarose microchambers

This paper describes three‐dimensional (3D) tissue shape control of mouse neural stem cell (mNSC) micro tissues by using closed agarose microchambers for effective differentiation induction of neurons in vitro. Our agarose microchambers, made by micromolding, can be sealed with an agarose sheet to f...

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Veröffentlicht in:Biotechnology and bioengineering 2018-06, Vol.115 (6), p.1614-1623
Hauptverfasser: Matsushiro, Yuki, Kato‐Negishi, Midori, Onoe, Hiroaki
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Sprache:eng
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Zusammenfassung:This paper describes three‐dimensional (3D) tissue shape control of mouse neural stem cell (mNSC) micro tissues by using closed agarose microchambers for effective differentiation induction of neurons in vitro. Our agarose microchambers, made by micromolding, can be sealed with an agarose sheet to form the mNSC tissues along the shape of microchambers. We constructed lane‐shaped mNSC tissues with different width (∼60–210 μm) and thickness (∼25–95 μm) dimensions and induced differentiation to neurons with differentiation medium. We found that in thick tissues (thickness: >60 μm), distribution of differentiated neurons was not uniform, whereas in thin tissues (thickness: ∼30 μm), differentiated neurons were uniformly distributed with high differentiation efficiency. Our system to construct in vitro 3D neural tissues having uniformly distributed neurons at high differentiation ratio, could become an effective tool for drug screening using 3D neural tissues and 3D mNSC tissues under differentiation induction. The authors propose a differentiation induction method of three‐dimensional (3D) shape controlled mouse neural stem cell (mNSC) tissues in closed agarose microchambers. By culturing mNSCs and inducing differentiation of them in closed agarose microchambers, 3D shapes of differentiated neural tissues were successfully controlled. It was confirmed that differentiated neurons were uniformly distributed with high differentiation efficiency in thin neural tissues.
ISSN:0006-3592
1097-0290
DOI:10.1002/bit.26559