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鼠胚胎干细胞衍生和分化为同步神经元网络的方法。

Method of derivation and differentiation of mouse embryonic stem cells generating synchronous neuronal networks.

机构信息

The Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia.

Department of Mechanical Engineering, The University of Melbourne, Parkville, VIC 3052, Australia.

出版信息

J Neurosci Methods. 2018 Jan 1;293:53-58. doi: 10.1016/j.jneumeth.2017.08.018. Epub 2017 Aug 18.

Abstract

BACKGROUND

Stem cells-derived neuronal cultures hold great promise for in vitro disease modelling and drug screening. However, currently stem cells-derived neuronal cultures do not recapitulate the functional properties of primary neurons, such as network properties. Cultured primary murine neurons develop networks which are synchronised over large fractions of the culture, whereas neurons derived from mouse embryonic stem cells (ESCs) display only partly synchronised network activity and human pluripotent stem cells-derived neurons have mostly asynchronous network properties. Therefore, strategies to improve correspondence of derived neuronal cultures with primary neurons need to be developed to validate the use of stem cell-derived neuronal cultures as in vitro models.

NEW METHOD

By combining serum-free derivation of ESCs from mouse blastocysts with neuronal differentiation of ESCs in morphogen-free adherent culture we generated neuronal networks with properties recapitulating those of mature primary cortical cultures.

RESULTS

After 35days of differentiation ESC-derived neurons developed network activity very similar to that of mature primary cortical neurons. Importantly, ESC plating density was critical for network development.

COMPARISON WITH EXISTING METHOD(S): Compared to the previously published methods this protocol generated more synchronous neuronal networks, with high similarity to the networks formed in mature primary cortical culture.

CONCLUSION

We have demonstrated that ESC-derived neuronal networks recapitulating key properties of mature primary cortical networks can be generated by optimising both stem cell derivation and differentiation. This validates the approach of using ESC-derived neuronal cultures for disease modelling and in vitro drug screening.

摘要

背景

干细胞衍生的神经元培养物在体外疾病建模和药物筛选方面具有巨大的潜力。然而,目前的干细胞衍生的神经元培养物并不能重现原代神经元的功能特性,例如网络特性。培养的原代鼠神经元可以在培养物的很大一部分上同步形成网络,而源自小鼠胚胎干细胞(ESCs)的神经元仅显示部分同步的网络活动,而源自人类多能干细胞的神经元则主要具有异步的网络特性。因此,需要开发策略来改善衍生神经元培养物与原代神经元的对应关系,以验证将干细胞衍生的神经元培养物用作体外模型的有效性。

新方法

通过将无血清的小鼠胚胎干细胞从囊胚中分离出来,并在无形态发生因子的贴壁培养中对其进行神经元分化,我们生成了具有类似于成熟原代皮质培养物特性的神经元网络。

结果

在分化 35 天后,ESC 衍生的神经元表现出与成熟原代皮质神经元非常相似的网络活动。重要的是,ESC 接种密度对于网络发育至关重要。

与现有方法的比较

与之前发表的方法相比,该方案生成了更同步的神经元网络,与成熟原代皮质培养物中形成的网络高度相似。

结论

我们已经证明,通过优化干细胞的衍生和分化,可以生成重现成熟原代皮质网络关键特性的 ESC 衍生神经元网络。这验证了使用 ESC 衍生的神经元培养物进行疾病建模和体外药物筛选的方法。

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