Real-time visualization of mRNA synthesis during memory formation in live mice

Author:

Lee Byung Hun1ORCID,Shim Jae Youn1ORCID,Moon Hyungseok C.1,Kim Dong Wook1,Kim Jiwon2ORCID,Yook Jang Soo2,Kim Jinhyun2ORCID,Park Hye Yoon134ORCID

Affiliation:

1. Department of Physics and Astronomy, Seoul National University, Seoul 08826, Korea

2. Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Korea

3. The Institute of Applied Physics, Seoul National University, Seoul 08826, Korea

4. Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455

Abstract

Memories are thought to be encoded in populations of neurons called memory trace or engram cells. However, little is known about the dynamics of these cells because of the difficulty in real-time monitoring of them over long periods of time in vivo. To overcome this limitation, we present a genetically encoded RNA indicator (GERI) mouse for intravital chronic imaging of endogenous Arc messenger RNA (mRNA)—a popular marker for memory trace cells. We used our GERI to identify Arc -positive neurons in real time without the delay associated with reporter protein expression in conventional approaches. We found that the Arc -positive neuronal populations rapidly turned over within 2 d in the hippocampal CA1 region, whereas ∼4% of neurons in the retrosplenial cortex consistently expressed Arc following contextual fear conditioning and repeated memory retrievals. Dual imaging of GERI and a calcium indicator in CA1 of mice navigating a virtual reality environment revealed that only the population of neurons expressing Arc during both encoding and retrieval exhibited relatively high calcium activity in a context-specific manner. This in vivo RNA-imaging approach opens the possibility of unraveling the dynamics of the neuronal population underlying various learning and memory processes.

Funder

Samsung Science and Technology Foundation

Wellcome Trust

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3