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神经分化、转分化和神经疾病建模的材料。

Materials for Neural Differentiation, Trans-Differentiation, and Modeling of Neurological Disease.

机构信息

Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.

The VIP Department, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.

出版信息

Adv Mater. 2018 Apr;30(17):e1705684. doi: 10.1002/adma.201705684. Epub 2018 Mar 24.

Abstract

Neuron regeneration from pluripotent stem cells (PSCs) differentiation or somatic cells trans-differentiation is a promising approach for cell replacement in neurodegenerative diseases and provides a powerful tool for investigating neural development, modeling neurological diseases, and uncovering the mechanisms that underlie diseases. Advancing the materials that are applied in neural differentiation and trans-differentiation promotes the safety, efficiency, and efficacy of neuron regeneration. In the neural differentiation process, matrix materials, either natural or synthetic, not only provide a structural and biochemical support for the monolayer or three-dimensional (3D) cultured cells but also assist in cell adhesion and cell-to-cell communication. They play important roles in directing the differentiation of PSCs into neural cells and modeling neurological diseases. For the trans-differentiation of neural cells, several materials have been used to make the conversion feasible for future therapy. Here, the most current applications of materials for neural differentiation for PSCs, neuronal trans-differentiation, and neurological disease modeling is summarized and discussed.

摘要

多能干细胞(PSCs)分化或体细胞转分化为神经元再生是治疗神经退行性疾病中细胞替代的一种很有前途的方法,同时为神经发育、神经疾病模型构建以及疾病相关机制的研究提供了强大的工具。推进神经分化和转分化中应用的材料,有助于提高神经元再生的安全性、效率和效果。在神经分化过程中,基质材料(天然或合成)不仅为单层或三维(3D)培养细胞提供结构和生化支持,还有助于细胞黏附和细胞间通讯。它们在指导 PSCs 向神经细胞分化和构建神经疾病模型方面发挥着重要作用。对于神经细胞的转分化,已经使用了几种材料来实现未来治疗的转化。在这里,总结和讨论了用于 PSCs 神经分化、神经元转分化和神经疾病模型构建的材料的最新应用。

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