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基于琼脂糖微孔的神经元微电路阵列在微电极阵列上用于高通量药物测试。

Agarose microwell based neuronal micro-circuit arrays on microelectrode arrays for high throughput drug testing.

作者信息

Kang Gyumin, Lee Ji-Hye, Lee Chang-Soo, Nam Yoonkey

机构信息

Department of Bio and Brain Engineering, KAIST, 335 Gwahangno, Yuseong-gu, Daejeon, 305-701, Korea.

出版信息

Lab Chip. 2009 Nov 21;9(22):3236-42. doi: 10.1039/b910738j. Epub 2009 Sep 10.

Abstract

For cell-based biosensor applications, dissociated neurons have been cultured on planar microelectrode arrays (MEAs) to measure the network activity with substrate-embedded microelectrodes. There has been a need for a multi-well type platform to reduce the data collection time and increase the statistical power for data analysis. This study presents a novel method to convert a conventional MEA into a multi-well MEA with an array of micrometre-sized neuronal culture ('neuronal micro-circuit array'). An MEA was coated first with cell-adhesive layer (poly-D-lysine) which was subsequently patterned with a cell-repulsive layer (agarose hydrogel) to both pattern the cell adhesive region and isolate neuronal micro-circuits from each other. For a few weeks, primary hippocampal neurons were cultured on the agarose microwell MEA and the development of spontaneous electrical activities were characterized with extracellular action potentials. Using neurotransmission modulators, the simultaneous monitoring of drug responses from neuronal micro-circuit arrays was also demonstrated. The proposed approach will be powerful for neurobiological functional assay studies or neuron-based biosensor fields which require repeated trials to obtain a single data point due to biological variations.

摘要

对于基于细胞的生物传感器应用,已将解离的神经元培养在平面微电极阵列(MEA)上,以通过嵌入基质的微电极测量网络活动。一直需要一种多孔类型的平台来减少数据收集时间并提高数据分析的统计功效。本研究提出了一种将传统MEA转换为具有微米级神经元培养阵列(“神经元微电路阵列”)的多孔MEA的新方法。首先在MEA上涂覆细胞粘附层(聚-D-赖氨酸),随后用细胞排斥层(琼脂糖水凝胶)进行图案化,以既对细胞粘附区域进行图案化,又使神经元微电路彼此隔离。将原代海马神经元在琼脂糖微孔MEA上培养数周,并用细胞外动作电位表征自发电活动的发展。使用神经传递调节剂,还展示了对来自神经元微电路阵列的药物反应的同步监测。所提出的方法对于神经生物学功能测定研究或基于神经元的生物传感器领域将非常强大,这些领域由于生物变异需要重复试验才能获得单个数据点。

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