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Generation and transplantation of reprogrammed human neurons in the brain using 3D microtopographic scaffolds

Authors :
Joachim Kohn
Ronald P. Hart
Kenneth G Paradiso
Prabhas V. Moghe
Neal K. Bennett
Marius Wernig
Zhiping P. Pang
Jennifer C. Moore
Stephen G. Clarke
Nicola L. Francis
Aaron L. Carlson
Apoorva Halikere
Source :
Nature Communications, Vol 7, Iss 1, Pp 1-10 (2016), Nature Communications
Publication Year :
2016
Publisher :
Nature Portfolio, 2016.

Abstract

Cell replacement therapy with human pluripotent stem cell-derived neurons has the potential to ameliorate neurodegenerative dysfunction and central nervous system injuries, but reprogrammed neurons are dissociated and spatially disorganized during transplantation, rendering poor cell survival, functionality and engraftment in vivo. Here, we present the design of three-dimensional (3D) microtopographic scaffolds, using tunable electrospun microfibrous polymeric substrates that promote in situ stem cell neuronal reprogramming, neural network establishment and support neuronal engraftment into the brain. Scaffold-supported, reprogrammed neuronal networks were successfully grafted into organotypic hippocampal brain slices, showing an ∼3.5-fold improvement in neurite outgrowth and increased action potential firing relative to injected isolated cells. Transplantation of scaffold-supported neuronal networks into mouse brain striatum improved survival ∼38-fold at the injection site relative to injected isolated cells, and allowed delivery of multiple neuronal subtypes. Thus, 3D microscale biomaterials represent a promising platform for the transplantation of therapeutic human neurons with broad neuro-regenerative relevance.<br />Human pluripotent stem cell derived neurons have the potential for cell replacement therapy for brain injury and disease but problems on transplantation need to be overcome. Here, the authors use a microtopographic scaffold to graft neurons into both hippocampal organoids and the mouse brain striatum.

Details

Language :
English
ISSN :
20411723
Volume :
7
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....aa8ae35734b22e38ff780e706b8d7baf