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CREB 与神经元在记忆痕迹选择中的作用。

CREB and neuronal selection for memory trace.

机构信息

Laboratory of Neural Circuit and Behavior, Department of Biological Sciences, KAIST Institute for the BioCentury, Korea Advanced Institute of Science and Technology Daejeon, Korea.

出版信息

Front Neural Circuits. 2013 Mar 21;7:44. doi: 10.3389/fncir.2013.00044. eCollection 2013.

Abstract

Despite considerable progress over the past several decades, our understanding of the mechanisms underlying memory encoding, storage, and expression in a complex neural network are far from complete. In particular, how some neurons rather than others are selectively engaged to encode memory remains largely unknown. Using virus-mediated gene delivery into a small subset of neurons in a given network, molecular imaging of neuronal activity, pharmacological perturbation of specific neurons' activity and animal behavior assays, recent studies have begun to provide insight into molecular and cellular mechanisms responsible for the selection of neurons for inclusion into a memory trace. Here, we focus on a review of recent findings supporting the hypothesis that the level of the transcription factor CREB (cAMP/Ca(2+)-response element binding protein) is a key factor governing which neurons are recruited to a given memory trace. These recent findings open a new perspective on memory trace at the neural circuit level and also raise many important questions. Future studies employing more advanced neurobiological techniques for targeting defined populations of neurons and manipulating their activity in time and space in a complex neural network will give answers to these newly emerging questions and extend our understanding of the neurobiological basis of the memory trace.

摘要

尽管在过去几十年中取得了相当大的进展,但我们对复杂神经网络中记忆编码、存储和表达的机制的理解还远远不够。特别是,如何选择性地激活某些神经元来编码记忆仍然知之甚少。最近的研究使用病毒介导的基因传递到特定网络中的一小部分神经元,神经元活动的分子成像,特定神经元活动的药理学干扰和动物行为分析,开始提供对分子和细胞机制的深入了解,这些机制负责选择神经元以包含在记忆痕迹中。在这里,我们重点回顾了最近的发现,这些发现支持了这样一种假设,即转录因子 CREB(cAMP/Ca(2+)-反应元件结合蛋白)的水平是控制哪些神经元被招募到特定记忆痕迹的关键因素。这些新发现为神经回路水平上的记忆痕迹提供了新的视角,同时也提出了许多重要的问题。未来的研究将采用更先进的神经生物学技术来靶向特定的神经元群体,并在复杂神经网络中在时间和空间上操纵它们的活动,这将为这些新出现的问题提供答案,并扩展我们对记忆痕迹的神经生物学基础的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/801f/3604628/2c5209bfd7ac/fncir-07-00044-g0001.jpg

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