记录和干预神经元活动的分子工具。

IF 3.7 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecules and Cells Pub Date : 2024-04-01 DOI:10.1016/j.mocell.2024.100048
Kisang Eom , Jinhwan Jung , Byungsoo Kim , Jung Ho Hyun
{"title":"记录和干预神经元活动的分子工具。","authors":"Kisang Eom ,&nbsp;Jinhwan Jung ,&nbsp;Byungsoo Kim ,&nbsp;Jung Ho Hyun","doi":"10.1016/j.mocell.2024.100048","DOIUrl":null,"url":null,"abstract":"<div><p>Observing the activity of neural networks is critical for the identification of learning and memory processes, as well as abnormal activities of neural circuits in disease, particularly for the purpose of tracking disease progression. Methodologies for describing the activity history of neural networks using molecular biology techniques first utilized genes expressed by active neurons, followed by the application of recently developed techniques including optogenetics and incorporation of insights garnered from other disciplines, including chemistry and physics. In this review, we will discuss ways in which molecular biological techniques used to describe the activity of neural networks have evolved along with the potential for future development.</p></div>","PeriodicalId":18795,"journal":{"name":"Molecules and Cells","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1016847824000669/pdfft?md5=d7df7b69ae079ec66c4ada2dcece8b15&pid=1-s2.0-S1016847824000669-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Molecular tools for recording and intervention of neuronal activity\",\"authors\":\"Kisang Eom ,&nbsp;Jinhwan Jung ,&nbsp;Byungsoo Kim ,&nbsp;Jung Ho Hyun\",\"doi\":\"10.1016/j.mocell.2024.100048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Observing the activity of neural networks is critical for the identification of learning and memory processes, as well as abnormal activities of neural circuits in disease, particularly for the purpose of tracking disease progression. Methodologies for describing the activity history of neural networks using molecular biology techniques first utilized genes expressed by active neurons, followed by the application of recently developed techniques including optogenetics and incorporation of insights garnered from other disciplines, including chemistry and physics. In this review, we will discuss ways in which molecular biological techniques used to describe the activity of neural networks have evolved along with the potential for future development.</p></div>\",\"PeriodicalId\":18795,\"journal\":{\"name\":\"Molecules and Cells\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1016847824000669/pdfft?md5=d7df7b69ae079ec66c4ada2dcece8b15&pid=1-s2.0-S1016847824000669-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecules and Cells\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1016847824000669\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecules and Cells","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1016847824000669","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

观察神经网络的活动对于识别学习和记忆过程以及疾病中神经回路的异常活动至关重要,尤其是在追踪疾病进展方面。利用分子生物学技术描述神经网络活动历史的方法首先是利用活跃神经元表达的基因,然后是应用包括光遗传学在内的最新开发的技术,并结合从化学和物理学等其他学科获得的见解。在这篇综述中,我们将讨论用于描述神经网络活动的分子生物学技术的发展方式以及未来的发展潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Molecular tools for recording and intervention of neuronal activity

Observing the activity of neural networks is critical for the identification of learning and memory processes, as well as abnormal activities of neural circuits in disease, particularly for the purpose of tracking disease progression. Methodologies for describing the activity history of neural networks using molecular biology techniques first utilized genes expressed by active neurons, followed by the application of recently developed techniques including optogenetics and incorporation of insights garnered from other disciplines, including chemistry and physics. In this review, we will discuss ways in which molecular biological techniques used to describe the activity of neural networks have evolved along with the potential for future development.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Molecules and Cells
Molecules and Cells 生物-生化与分子生物学
CiteScore
6.60
自引率
10.50%
发文量
83
审稿时长
2.3 months
期刊介绍: Molecules and Cells is an international on-line open-access journal devoted to the advancement and dissemination of fundamental knowledge in molecular and cellular biology. It was launched in 1990 and ISO abbreviation is ''Mol. Cells''. Reports on a broad range of topics of general interest to molecular and cell biologists are published. It is published on the last day of each month by the Korean Society for Molecular and Cellular Biology.
期刊最新文献
The role of p21 in cellular senescence and aging-related diseases Cellular and metabolic function of GIRK1 potassium channels expressed by arcuate POMC and NPY/AgRP neurons Brief guide to flow cytometry Effects of phospholipase D1-inhibitory peptide on the growth and metastasis of gastric cancer cells The emerging role of gut hormones
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1