The genetic encoded toolbox for electron microscopy and connectomics.

Q1 Biochemistry, Genetics and Molecular Biology Wiley Interdisciplinary Reviews: Developmental Biology Pub Date : 2017-11-01 Epub Date: 2017-08-11 DOI:10.1002/wdev.288
Ryuichi Shigemoto, Maximilian Joesch
{"title":"The genetic encoded toolbox for electron microscopy and connectomics.","authors":"Ryuichi Shigemoto,&nbsp;Maximilian Joesch","doi":"10.1002/wdev.288","DOIUrl":null,"url":null,"abstract":"<p><p>Developments in bioengineering and molecular biology have introduced a palette of genetically encoded probes for identification of specific cell populations in electron microscopy. These probes can be targeted to distinct cellular compartments, rendering them electron dense through a subsequent chemical reaction. These electron densities strongly increase the local contrast in samples prepared for electron microscopy, allowing three major advances in ultrastructural mapping of circuits: genetic identification of circuit components, targeted imaging of regions of interest and automated analysis of the tagged circuits. Together, the gains from these advances can decrease the time required for the analysis of targeted circuit motifs by over two orders of magnitude. These genetic encoded tags for electron microscopy promise to simplify the analysis of circuit motifs and become a central tool for structure-function studies of synaptic connections in the brain. We review the current state-of-the-art with an emphasis on connectomics, the quantitative analysis of neuronal structures and motifs. WIREs Dev Biol 2017, 6:e288. doi: 10.1002/wdev.288 For further resources related to this article, please visit the WIREs website.</p>","PeriodicalId":23630,"journal":{"name":"Wiley Interdisciplinary Reviews: Developmental Biology","volume":"6 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wdev.288","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wiley Interdisciplinary Reviews: Developmental Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/wdev.288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/8/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 3

Abstract

Developments in bioengineering and molecular biology have introduced a palette of genetically encoded probes for identification of specific cell populations in electron microscopy. These probes can be targeted to distinct cellular compartments, rendering them electron dense through a subsequent chemical reaction. These electron densities strongly increase the local contrast in samples prepared for electron microscopy, allowing three major advances in ultrastructural mapping of circuits: genetic identification of circuit components, targeted imaging of regions of interest and automated analysis of the tagged circuits. Together, the gains from these advances can decrease the time required for the analysis of targeted circuit motifs by over two orders of magnitude. These genetic encoded tags for electron microscopy promise to simplify the analysis of circuit motifs and become a central tool for structure-function studies of synaptic connections in the brain. We review the current state-of-the-art with an emphasis on connectomics, the quantitative analysis of neuronal structures and motifs. WIREs Dev Biol 2017, 6:e288. doi: 10.1002/wdev.288 For further resources related to this article, please visit the WIREs website.

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
电子显微镜和连接组学的基因编码工具箱。
生物工程和分子生物学的发展已经引入了一种基因编码探针的调色板,用于在电子显微镜下识别特定的细胞群。这些探针可以瞄准不同的细胞区室,通过随后的化学反应使它们具有电子密度。这些电子密度大大增加了用于电子显微镜制备的样品中的局部对比度,使电路的超微结构制图取得了三个主要进展:电路元件的遗传鉴定,感兴趣区域的靶向成像和标记电路的自动分析。总之,从这些进步中获得的收益可以将分析目标电路基序所需的时间减少两个数量级以上。这些用于电子显微镜的基因编码标签有望简化电路基序的分析,并成为研究大脑突触连接结构-功能的核心工具。我们回顾了当前最先进的技术,重点是连接组学,神经元结构和基序的定量分析。生物工程学报,2017,26(6):888 - 888。doi: 10.1002 / wdev.288有关与本文相关的更多资源,请访问WIREs网站。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊介绍: Developmental biology is concerned with the fundamental question of how a single cell, the fertilized egg, ultimately produces a complex, fully patterned adult organism. This problem is studied on many different biological levels, from the molecular to the organismal. Developed in association with the Society for Developmental Biology, WIREs Developmental Biology will provide a unique interdisciplinary forum dedicated to fostering excellence in research and education and communicating key advances in this important field. The collaborative and integrative ethos of the WIREs model will facilitate connections to related disciplines such as genetics, systems biology, bioengineering, and psychology. The topical coverage of WIREs Developmental Biology includes: Establishment of Spatial and Temporal Patterns; Gene Expression and Transcriptional Hierarchies; Signaling Pathways; Early Embryonic Development; Invertebrate Organogenesis; Vertebrate Organogenesis; Nervous System Development; Birth Defects; Adult Stem Cells, Tissue Renewal and Regeneration; Cell Types and Issues Specific to Plants; Comparative Development and Evolution; and Technologies.
期刊最新文献
Zebrafish models of acute leukemias: Current models and future directions. The macro and micro of chromosome conformation capture. Human pluripotent stem cell-derived lung organoids: Potential applications in development and disease modeling. Single-cell RNA sequencing in Drosophila: Technologies and applications. Schwann cell development: From neural crest to myelin sheath.
×
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