Recording axonal conduction to evaluate the integration of pluripotent cell-derived neurons into a neuronal network
Recording axonal conduction to evaluate the integration of pluripotent cell-derived neurons into a neuronal network
复制标题
记录轴突传导以评估多能细胞源性神经元整合到神经元网络中
DOI:
10.1007/s10544-015-9997-y
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发表时间:
2015
影响因子:
2.8
通讯作者:
Yasuhiko Jimbo
中科院分区:
文献类型:
--
作者:
Kenta Shimba;Koji Sakai;Yuzo Takayama;Kiyoshi Kotani;Yasuhiko Jimbo
Stem cell transplantation is a promising therapy to treat neurodegenerative disorders, and a number ofin vitromodels have been developed for studying interactions between grafted neurons and the host neuronal network to promote drug discovery. However, methods capable of evaluating the process by which stem cells integrate into the host neuronal network are lacking. In this study, we applied an axonal conduction-based analysis to a co-culture study of primary and differentiated neurons. Mouse cortical neurons and neuronal cells differentiated from P19 embryonal carcinoma cells, a model for early neural differentiation of pluripotent stem cells, were co-cultured in a microfabricated device. The somata of these cells were separated by the co-culture device, but their axons were able to elongate through microtunnels and then form synaptic contacts. Propagating action potentials were recorded from these axons by microelectrodes embedded at the bottom of the microtunnels and sorted into clusters representing individual axons. While the number of axons of cortical neurons increased until 14 daysin vitroand then decreased, those of P19 neurons increased throughout the culture period. Network burst analysis showed that P19 neurons participated in approximately 80 % of the bursting activity after 14 daysin vitro. Interestingly, the axonal conduction delay of P19 neurons was significantly greater than that of cortical neurons, suggesting that there are some physiological differences in their axons. These results suggest that our method is feasible to evaluate the process by which stem cell-derived neurons integrate into a host neuronal network.
影响因子:
3
作者:
Y. Nakayama;A. Wada;Rei Inoue;Kazuya Terasawa;I. Kimura;Naosuke Nakamura;A. Kurosaka
通讯作者:
A. Kurosaka
影响因子:
3.3
作者:
D. Shlosberg;Yasmin Abu;Y. Amitai
通讯作者:
Y. Amitai
影响因子:
3.4
作者:
T. Voigt;H. Baier;A. D. Lima
通讯作者:
A. D. Lima