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Real-Time Sensing of Neurotransmitters From Stem Cell-derived Neural Interface Using Hybrid Graphene-Nanostructures

使用混合石墨烯纳米结构实时感测干细胞衍生神经界面的神经递质

基本信息

批准号：
1803517
负责人：
KiBum Lee
金额：
$ 35万
依托单位：
Rutgers University New Brunswick
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-15 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1803517&HistoricalAwards=false
关键词：
Real Time Sensing Neurotransmitters Stem

项目摘要

Neurotransmitters are one of the most critical biomolecules in the brain. They play a vital role in preserving neurophysiological processes such as cognition, memory, and behavior. For example, the abnormal levels of neurotransmitters may result in severe neurological disorders such as Parkinson's disease, schizophrenia, and Huntington's disease. In the case of Parkinson's disease, most patients have lost more than 80% of their production of dopamine neurotransmitter. Stem cell-based therapy to create dopamine-producing (dopaminergic) neurons that can be implanted into patients has emerged as a promising approach for treating Parkinson's disease. The functionality of stem cell-derived dopaminergic neurons can be confirmed by the detection of dopamine. The proposed biosensing system has the capability of real-time monitoring of stem cell differentiation by detecting neurotransmitters. It will accelerate the development of stem cell therapies by removing some bottlenecks in current stem cell therapies. Moreover, the proposed biosensor will be an excellent sensing platform to advance research and development in regenerative medicine and neuroscience.The scientific goal of this proposal is to investigate how stem cells can generate a neural interface with functional neurons by detecting neurotransmitters selectively and effectively. Conventional neurotransmitter detection methods suffer from non-specific sensing and lack of in situ analysis. Addressing current challenges in the detection of neurotransmitters, a novel in situ nano-biosensor using graphene oxide-covered nanostructure arrays as a platform to real-time monitor mature neuronal differentiation of stem cells will be developed by detecting the secreted neurotransmitters in a noninvasive manner. For this purpose, the proposal focuses on the synthesis of chemically well-defined graphene oxide-nanostructures and the development of graphene-based hybrid nanoelectrode arrays to generate stable and reproducible signals. The developed novel graphene-based hybrid nanoelectrode arrays detect dopamine molecules selectively and sensitively using surface-enhanced Raman scattering technique. Raman dye (graphene oxide)-labeled aptamers targeting dopamine molecules are attached to the surface of graphene oxide-covered nanostructure arrays through the pi-pi interactions, resulting in a Raman enhancement from the graphene oxide nanostructures. The loss of binding affinity between nucleotides and the Raman dye (malachite green molecules)-labeled aptamers after the dye-labeled aptamers reacted with dopamine will consequently decrease the Raman signal for quantitative analysis. The whole processes enable the detection of low concentration of dopamine in the neural interface. Upon successful completion, the proposed nano-biosensing system will facilitate the study of a biological phenomenon by monitoring cell secretions from complex biological matrices. The proposal takes advantage of the graphene functionalized surface and the highly selective bio-recognition elements to fabricate a novel hybrid graphene-nanostructure-based real-time sensing system to act as a multi-purpose sensor platform for the detection of a variety of molecules. Given the challenges of in situ detection of neurotransmitters at the single cell level, this surface-enhanced Raman scattering-based detection method can represent a unique tool for investigating single-cell mechanisms associated with dopamine, or other neurotransmitters, and their roles in neurological processes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

神经递质是大脑中最重要的生物分子之一。它们在保护神经生理过程中起着至关重要的作用，如认知，记忆和行为。例如，神经递质的异常水平可能导致严重的神经系统疾病，如帕金森病、精神分裂症和亨廷顿病。在帕金森病的情况下，大多数患者已经失去了超过80%的多巴胺神经递质的生产。以干细胞为基础的治疗，以创造多巴胺产生（多巴胺能）神经元，可以植入病人已经成为一个有前途的方法治疗帕金森氏病。干细胞衍生的多巴胺能神经元的功能可以通过检测多巴胺来确认。所提出的生物传感系统具有通过检测神经递质来实时监测干细胞分化的能力。它将通过消除当前干细胞疗法中的一些瓶颈来加速干细胞疗法的发展。此外，该生物传感器将是一个很好的传感平台，以推动再生医学和神经科学的研究和发展。这项计划的科学目标是研究干细胞如何通过选择性和有效地检测神经递质来产生与功能神经元的神经界面。传统的神经递质检测方法存在非特异性检测和缺乏原位分析的问题。针对目前神经递质检测面临的挑战，一种新型的原位纳米生物传感器，使用氧化石墨烯覆盖的纳米结构阵列作为平台，实时监测成熟的干细胞神经元分化，将开发通过检测分泌的神经递质在一个非侵入性的方式。为此，该提案的重点是化学定义明确的氧化石墨烯纳米结构的合成和石墨烯基混合纳米电极阵列的开发，以产生稳定和可再现的信号。所开发的新型石墨烯基混合纳米电极阵列使用表面增强拉曼散射技术选择性地和灵敏地检测多巴胺分子。靶向多巴胺分子的拉曼染料（氧化石墨烯）标记的适体通过π-π相互作用附着到氧化石墨烯覆盖的纳米结构阵列的表面，导致氧化石墨烯纳米结构的拉曼增强。在染料标记的适体与多巴胺反应后，核苷酸与拉曼染料（孔雀石绿色分子）标记的适体之间的结合亲和力的损失将因此降低用于定量分析的拉曼信号。整个过程使得能够检测神经界面中的低浓度多巴胺。成功完成后，拟议的纳米生物传感系统将通过监测复杂生物基质中的细胞分泌物来促进生物现象的研究。该提案利用石墨烯功能化表面和高度选择性的生物识别元件来制造一种新型的基于石墨烯-纳米结构的混合实时传感系统，以作为用于检测各种分子的多用途传感器平台。鉴于在单细胞水平上原位检测神经递质的挑战，这种基于表面增强拉曼散射的检测方法可以代表用于研究与多巴胺或其他神经递质相关的单细胞机制的独特工具，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的评估来支持。影响审查标准。