Application of genetically encoded indicators to mammalian central nervous system
Genetically encoded indicators emerged as promising tools for cell type-specific and chronic recording of neuronal population activity. Since publication of the first prototypical genetically encoded Ca2+ indicators (Cameleons) in 1997, we have witnessed remarkable evolution of the field, with rapid...
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Frontiers Media SA
2021
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| Truy cập trực tuyến: | 18913 |
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| _version_ | 1869523395740172288 |
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| author | Yoshiyuki Yamada Katsuhiko Mikoshiba |
| author_browse | Katsuhiko Mikoshiba Yoshiyuki Yamada |
| author_facet | Yoshiyuki Yamada Katsuhiko Mikoshiba |
| author_sort | Yoshiyuki Yamada |
| collection | Directory of Open Access Books |
| description | Genetically encoded indicators emerged as promising tools for cell type-specific and chronic recording of neuronal population activity. Since publication of the first prototypical genetically encoded Ca2+ indicators (Cameleons) in 1997, we have witnessed remarkable evolution of the field, with rapid improvement of indicator performance as well as expanded application to many model organisms in the neuroscience community. Challenges still remain, however, concerning the mammalian central nervous system: limited sensitivity of indicators to subtle changes in activity, slow signal kinetics, cytotoxicity after a long-term and high-level expression of indicators, and variable performance across cell types. In addition to improvement of the indicators per se, development of strategies that allow combined use of the indicators and optogenetic tools is also desired. In this Research Topic, we recruited top researchers in the field and their young colleagues to present their cutting-edge research as well as insightful opinions on the following subtopics: 1) Latest breakthroughs on development of genetically encoded indicators 2) Novel scientific findings obtained with genetically encoded indicators 3) Wishlist for the next-generation genetically encoded indicators 4) Guideline for selecting an appropriate indicator 5) Optimal methodology for indicator delivery to mammalian CNS |
| format | Online |
| id | doab-20.500.12854ir-41045 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-410452024-04-05T17:31:05Z Application of genetically encoded indicators to mammalian central nervous system Yoshiyuki Yamada Katsuhiko Mikoshiba RC321-571 Q1-390 in vivo imaging Genetically encoded calcium indicators (GECIs) genetically encoded voltage sensor Fluorescent protein sensors genetically encoded sensors thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Genetically encoded indicators emerged as promising tools for cell type-specific and chronic recording of neuronal population activity. Since publication of the first prototypical genetically encoded Ca2+ indicators (Cameleons) in 1997, we have witnessed remarkable evolution of the field, with rapid improvement of indicator performance as well as expanded application to many model organisms in the neuroscience community. Challenges still remain, however, concerning the mammalian central nervous system: limited sensitivity of indicators to subtle changes in activity, slow signal kinetics, cytotoxicity after a long-term and high-level expression of indicators, and variable performance across cell types. In addition to improvement of the indicators per se, development of strategies that allow combined use of the indicators and optogenetic tools is also desired. In this Research Topic, we recruited top researchers in the field and their young colleagues to present their cutting-edge research as well as insightful opinions on the following subtopics: 1) Latest breakthroughs on development of genetically encoded indicators 2) Novel scientific findings obtained with genetically encoded indicators 3) Wishlist for the next-generation genetically encoded indicators 4) Guideline for selecting an appropriate indicator 5) Optimal methodology for indicator delivery to mammalian CNS 2021-02-11T08:18:45Z 2021-02-11T08:18:45Z 2016-04-07 11:22:02 2016 book 18913 16648714 9782889198047 https://directory.doabooks.org/handle/20.500.12854/41045 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Application_of_Genetically_Encoded_Indicators_to_Mammalian_Central_Nervous_System/839#nogo http://journal.frontiersin.org/researchtopic/2025/application-of-genetically-encoded-indicators-to-mammalian-central-nervous-system Frontiers Media SA 10.3389/978-2-88919-804-7 10.3389/978-2-88919-804-7 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889198047 116 open access |
| spellingShingle | RC321-571 Q1-390 in vivo imaging Genetically encoded calcium indicators (GECIs) genetically encoded voltage sensor Fluorescent protein sensors genetically encoded sensors thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Yoshiyuki Yamada Katsuhiko Mikoshiba Application of genetically encoded indicators to mammalian central nervous system |
| title | Application of genetically encoded indicators to mammalian central nervous system |
| title_full | Application of genetically encoded indicators to mammalian central nervous system |
| title_fullStr | Application of genetically encoded indicators to mammalian central nervous system |
| title_full_unstemmed | Application of genetically encoded indicators to mammalian central nervous system |
| title_short | Application of genetically encoded indicators to mammalian central nervous system |
| title_sort | application of genetically encoded indicators to mammalian central nervous system |
| topic | RC321-571 Q1-390 in vivo imaging Genetically encoded calcium indicators (GECIs) genetically encoded voltage sensor Fluorescent protein sensors genetically encoded sensors thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 in vivo imaging Genetically encoded calcium indicators (GECIs) genetically encoded voltage sensor Fluorescent protein sensors genetically encoded sensors thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18913 |
| work_keys_str_mv | AT yoshiyukiyamada applicationofgeneticallyencodedindicatorstomammaliancentralnervoussystem AT katsuhikomikoshiba applicationofgeneticallyencodedindicatorstomammaliancentralnervoussystem |