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Journal article

Evidences of the effect of GO and rGO in PCL membranes on the differentiation and maturation of human neural progenitor cells

Abstract:
The effect of doping graphene oxide (GO) and reduced graphene oxide (rGO) into poly(ε‐caprolactone) (PCL) membranes prepared by solvent induced phase separation is evaluated in terms of nanomaterial distribution and compatibility with neural stem cell growth and functional differentiation. Raman spectra analyses demonstrate the homogeneous distribution of GO on the membrane surface while rGO concentration increases gradually toward the center of the membrane thickness. This behavior is associated with electrostatic repulsion that PCL exerted toward the polar GO and its affinity for the non‐polar rGO. In vitro cell studies using human induced pluripotent cell derived neural progenitor cells (NPCs) show that rGO increases marker expression of NPCs differentiation with respect to GO (significantly to tissue culture plate (TCP)). Moreover, the distinctive nanomaterials distribution defines the cell‐to‐nanomaterial interaction on the PCL membranes: GO nanomaterials on the membrane surface favor higher number of active matured neurons, while PCL/rGO membranes present cells with significantly higher magnitude of neural activity compared to TCP and PCL/GO despite there being no direct contact of rGO with the cells on the membrane surface. Overall, this work evidences the important role of rGO electrical properties on the stimulation of neural cell electro‐activity on PCL membrane scaffolds.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/mabi.201800195

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Balliol College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author


Publisher:
Wiley
Journal:
Macromolecular Bioscience More from this journal
Volume:
18
Issue:
11
Pages:
1800195
Publication date:
2018-09-25
Acceptance date:
2018-08-27
DOI:
EISSN:
1616-5195
ISSN:
1616-5187


Pubs id:
pubs:920127
UUID:
uuid:e44bab7c-32ad-4d39-a682-5fb2a292c709
Local pid:
pubs:920127
Source identifiers:
920127
Deposit date:
2018-09-17

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