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Optical control of network formation in stem cell-derived neurons

干细胞源性神经元网络形成的光学控制

基本信息

批准号：
9128745
负责人：
Erin K Purcell
金额：
$ 7.68万
依托单位：
MICHIGAN STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-01 至 2018-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9128745
关键词：
Action Potentials Adopted Biological Neural Networks Brain Cells Characteristics Data Development Devices Dissection Electrophysiology (science)Foundations Frequencies Future Gene Expression Gene Expression Profile Generations Genes Genetic Genetic Transcription Goals Health Immunohistochemistry Implant In Vitro Kinetics Knowledge Light Light Cell Literature Methods Microelectrodes Morphology N-terminal Natural regeneration Nerve Regeneration Nervous System Trauma Neuraxis Neuroglia Neurons Nuclear Localization Signal Optical Methods Optics Patients Pattern Pluripotent Stem Cells Population Process Property Proteins Protocols documentation Rattus Recombinants Reporter Genes Retroviridae Rodent Skin Specific qualifier value Specificity Stem cells Synapses System Technology Testing Time Tissues Trans-Activators Transactivation Transplantation VP 16 Work activating transcription factor adeno-associated viral vector base brain repair cell type flexibility improved in vivo induced pluripotent stem cell innovation interest meetings nervous system disorder neural circuit neuron loss neuronal circuitry neuronal replacement neuroprosthesis novel optogenetics promoter reconstruction relating to nervous system repaired spatiotemporal stem cell fate success tool transcription factor

项目摘要

DESCRIPTION (provided by applicant): Neuronal loss is responsible for the profoundly devastating effects of neurological injury and disease for millions of patients worldwide, and the central nervous system has little capacity for self-repair. Regeneration of damaged neural circuitry with stem cell-derived neurons is a promising approach to the problem, particularly given the discovery that pluripotent stem cells can be derived by reprogramming a patient's own skin cells (induced pluripotent stem cells, iPSCs). However, functional integration of stem cell-derived neurons with host tissue continues to be a challenge met with few successes, and the field requires new and better tools to control stem cell fate and connectivity. We propose new optical methods to enable the construction of defined neural networks, where light is used to pattern specific neuronal subtypes and selectively connect them with target cell types. The approach uses a recently-described photosensitive bacterial transcription factor to drive gene expression as well as optogenetic control of neuronal spiking to selectively strengthen or weaken connections between specific populations of neurons. To demonstrate proof-of-concept, the project begins with a functional characterization of rat iPSC-derived neurons and subsequently generates pilot data to demonstrate the feasibility of using spatiotemporal patterns of light-activated gene expression and channel gating to build neural networks. For optical control of connectivity, the frequencies and patterns of stimulation are adopted from literature demonstrating either elimination or stabilization of synapses in mature neurons following optogenetic stimulation. For light-driven gene expression, the photosensitive transcription factor is delivered via recombinant replication-defective retroviruses with broad-spectrum neural promoters. Results are validated through a combination of whole-cell electrophysiology, identification of synaptic markers with immunohistochemistry, and spatially patterned optical induction of fluorescent reporter gene expression. These proof-of-concept studies will establish new protocols to control connectivity between specific neuronal populations with light, with the future potential to use a modified light-activated transcription factor to determine subtype specification. This will lay the foundation to use optical stimulation to define the identity and connectivity of neurons derived from stem cells, giving new tools to construct and reconstruct neural circuitry in vitro and in vivo in future work.

描述（由申请人提供）：神经元损失是造成全球数百万患者神经损伤和疾病的严重破坏性影响的原因，而中枢神经系统几乎没有自我修复的能力。用干细胞衍生的神经元再生受损的神经回路是解决该问题的一种有前途的方法，特别是考虑到可以通过重新编程患者自身的皮肤细胞（诱导多能干细胞，iPSC）来衍生多能干细胞的发现。然而，干细胞源性神经元与宿主组织的功能整合仍然是一个几乎没有成功的挑战，该领域需要新的、更好的工具来控制干细胞的命运和连接。我们提出了新的光学方法来构建定义的神经网络，其中光用于模式化特定的神经元亚型并选择性地将它们与目标细胞类型连接。该方法使用最近描述的光敏细菌转录因子来驱动基因表达以及神经元尖峰的光遗传学控制，以选择性地加强或削弱特定神经元群之间的连接。为了证明概念，该项目首先对大鼠 iPSC 衍生神经元进行功能表征，随后生成试点数据，以证明使用光激活基因表达的时空模式和通道门控来构建神经网络的可行性。对于连接的光学控制，刺激的频率和模式来自证明光遗传学刺激后成熟神经元中突触的消除或稳定的文献。对于光驱动的基因表达，光敏转录因子是通过具有广谱神经启动子的重组复制缺陷型逆转录病毒传递的。通过结合全细胞电生理学、免疫组织化学鉴定突触标记以及荧光报告基因表达的空间图案光学诱导来验证结果。这些概念验证研究将建立新的协议来控制特定神经元群体与光之间的连接，未来有可能使用改良的光激活转录因子来确定亚型规范。这将为使用光刺激来定义源自干细胞的神经元的身份和连接性奠定基础，为未来的工作中在体外和体内构建和重建神经回路提供新工具。