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一个多电极阵列平台用于模拟,使用人类多能干细胞衍生的脑组合物.

Tong Pan1, Daniel C Jaklic1, Shivanshi Vaid1

  • 1Division of Pediatric Neurology, Department of Pediatrics, Michigan Medicine, Ann Arbor; Michigan Neuroscience Institute, University of Michigan, Ann Arbor.

Journal of visualized experiments : JoVE
|October 14, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了一种方法,在两个月内记录人类大脑组合体的电活动. 这种新的测定方法可以长期研究神经网络发育和药物查.

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科学领域:

  • 神经科学是一个神经科学.
  • 干细胞生物学 干细胞生物学
  • 电子生理学 电子生理学

背景情况:

  • 人类大脑器官模型胎儿大脑发育.
  • 组合物,融合器官,表现出集成的神经元电路.
  • 研究组合物对于理解网络活动至关重要.

研究的目的:

  • 建立一个可靠的方法,从组合物中进行长期电生理学记录.
  • 为了使神经元网络发展的纵向研究.
  • 创建一个平台,用于症药物查.

主要方法:

  • 人类大脑的器官被合并,以创建组合物.
  • 组装器件被涂在多电极阵列 (MEA) 板上.
  • 在2个月的时间内记录了电生理活动.

主要成果:

  • 制定了一项协议,用于在MEA板上涂抹聚合物.
  • 长度电生理学记录成功获得了2个月.
  • 该方法可以适应各种大脑器官模型.

结论:

  • 该协议为研究神经网络发展提供了一个强大的平台.
  • 该试验可促进组合体的长期电生理学分析.
  • 这种方法在症药物发现中具有潜在的应用.