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大脑类器官中的自组织发育模式形成与分化

Self-organized developmental patterning and differentiation in cerebral organoids.

作者信息

Renner Magdalena, Lancaster Madeline A, Bian Shan, Choi Heejin, Ku Taeyun, Peer Angela, Chung Kwanghun, Knoblich Juergen A

机构信息

Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter (VBC), Vienna, Austria.

MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK.

出版信息

EMBO J. 2017 May 15;36(10):1316-1329. doi: 10.15252/embj.201694700. Epub 2017 Mar 10.

Abstract

Cerebral organoids recapitulate human brain development at a considerable level of detail, even in the absence of externally added signaling factors. The patterning events driving this self-organization are currently unknown. Here, we examine the developmental and differentiative capacity of cerebral organoids. Focusing on forebrain regions, we demonstrate the presence of a variety of discrete ventral and dorsal regions. Clearing and subsequent 3D reconstruction of entire organoids reveal that many of these regions are interconnected, suggesting that the entire range of dorso-ventral identities can be generated within continuous neuroepithelia. Consistent with this, we demonstrate the presence of forebrain organizing centers that express secreted growth factors, which may be involved in dorso-ventral patterning within organoids. Furthermore, we demonstrate the timed generation of neurons with mature morphologies, as well as the subsequent generation of astrocytes and oligodendrocytes. Our work provides the methodology and quality criteria for phenotypic analysis of brain organoids and shows that the spatial and temporal patterning events governing human brain development can be recapitulated .

摘要

大脑类器官能在相当程度上详细重现人类大脑发育过程,即便在没有外部添加信号因子的情况下也是如此。驱动这种自我组织的模式形成事件目前尚不清楚。在此,我们研究了大脑类器官的发育和分化能力。聚焦于前脑区域,我们证明了存在多种离散的腹侧和背侧区域。对整个类器官进行透明化处理并随后进行三维重建显示,这些区域中有许多是相互连接的,这表明在连续的神经上皮内可以产生整个范围的背腹身份特征。与此一致的是,我们证明了存在表达分泌型生长因子的前脑组织中心,这些因子可能参与类器官内的背腹模式形成。此外,我们证明了具有成熟形态的神经元的定时生成,以及随后星形胶质细胞和少突胶质细胞的生成。我们的工作为脑类器官的表型分析提供了方法和质量标准,并表明可以重现控制人类大脑发育的时空模式形成事件。

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