Efficient Generation of Functionally Active Spinal Cord Neurons from Spermatogonial Stem Cells View Full Text


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Article Info

DATE

2016-08-26

AUTHORS

Hao Yang, Cuicui Liu, Bo Chen, Jing An, Rui Zhang, Qian Zhang, Jingjing Zhao, Baorong He, Ding-Jun Hao

ABSTRACT

Neural stem cells (NSCs) are hitherto regarded as perspective candidates for cell transplantation in clinical therapies for multilevel spinal cord injury and function restoration. However, the extreme drawbacks of NSCs available for injury transplantation still represent a significant bottleneck in neural regeneration medicine. Therefore, it is essential to establish a suitable cell reservoir as an issue-free alternative. Here, we demonstrate that spermatogonial stem cells (SSCs) derived from rat testis robustly give rise to terminally differentiated, functionally mature spinal cord neurons by using an optimized differentiation protocol. After performing a 3-week in vitro differentiation procedure, most cells exhibited neural morphological features and were Tuj-1 positive. Of note, approximately 60 % of the obtained cells coexpressed choline acetyltransferase (CHAT), acetylcholinesterase (AchE), and calcitonin gene-related peptide (CGRP). More importantly, apart from acquisition of neural antigenic and biochemical properties, nearly all neurons efficiently exhibited in vitro functionality similar to wild-type neurons, such as synapse formation, increased neuronal calcium influx, and electrophysiology. This is the first report revealing consistent and reproducible generation of large amounts of functional neurons from SSCs. Collectively, this system is suitable for studies of SSC transdifferentiation into neuronal cells and can provide sufficient neurons for the treatment of spinal cord injury as well as for genetic and small molecule screenings. More... »

PAGES

788-803

References to SciGraph publications

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    URI

    http://scigraph.springernature.com/pub.10.1007/s12035-016-0057-2

    DOI

    http://dx.doi.org/10.1007/s12035-016-0057-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1031300607

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27566610


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