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Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system

The defining features of a neuron are its functional and anatomical connections with thousands of other neurons in the brain. Together, these neurons form functional networks that direct animal behavior. Current approaches that allow the interrogation of specific populations of neurons and neural ci...

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Autores principales: Khoo, Audrey Tze Ting, Kim, Paul Jong, Kim, Ho Min, Je, H. Shawn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331137/
https://www.ncbi.nlm.nih.gov/pubmed/32616061
http://dx.doi.org/10.1186/s13041-020-00640-2
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author Khoo, Audrey Tze Ting
Kim, Paul Jong
Kim, Ho Min
Je, H. Shawn
author_facet Khoo, Audrey Tze Ting
Kim, Paul Jong
Kim, Ho Min
Je, H. Shawn
author_sort Khoo, Audrey Tze Ting
collection PubMed
description The defining features of a neuron are its functional and anatomical connections with thousands of other neurons in the brain. Together, these neurons form functional networks that direct animal behavior. Current approaches that allow the interrogation of specific populations of neurons and neural circuits rely heavily on targeting their gene expression profiles or connectivity. However, these approaches are often unable to delineate specific neuronal populations. Here, we developed a novel intersectional split intein-mediated split-Cre recombinase system that can selectively label specific types of neurons based on their gene expression profiles and structural connectivity. We developed this system by splitting Cre recombinase into two fragments with evolved split inteins and subsequently expressed one fragment under the influence of a cell type-specific promoter in a transgenic animal, and delivered the other fragment via retrograde viral gene transfer. This approach results in the reconstitution of Cre recombinase in only specific population of neurons projecting from a specific brain region or in those of a specific neuronal type. Taken together, our split intein-based split-Cre system will be useful for sophisticated characterization of mammalian brain circuits.
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spelling pubmed-73311372020-07-06 Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system Khoo, Audrey Tze Ting Kim, Paul Jong Kim, Ho Min Je, H. Shawn Mol Brain Methodology The defining features of a neuron are its functional and anatomical connections with thousands of other neurons in the brain. Together, these neurons form functional networks that direct animal behavior. Current approaches that allow the interrogation of specific populations of neurons and neural circuits rely heavily on targeting their gene expression profiles or connectivity. However, these approaches are often unable to delineate specific neuronal populations. Here, we developed a novel intersectional split intein-mediated split-Cre recombinase system that can selectively label specific types of neurons based on their gene expression profiles and structural connectivity. We developed this system by splitting Cre recombinase into two fragments with evolved split inteins and subsequently expressed one fragment under the influence of a cell type-specific promoter in a transgenic animal, and delivered the other fragment via retrograde viral gene transfer. This approach results in the reconstitution of Cre recombinase in only specific population of neurons projecting from a specific brain region or in those of a specific neuronal type. Taken together, our split intein-based split-Cre system will be useful for sophisticated characterization of mammalian brain circuits. BioMed Central 2020-07-02 /pmc/articles/PMC7331137/ /pubmed/32616061 http://dx.doi.org/10.1186/s13041-020-00640-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Khoo, Audrey Tze Ting
Kim, Paul Jong
Kim, Ho Min
Je, H. Shawn
Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system
title Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system
title_full Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system
title_fullStr Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system
title_full_unstemmed Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system
title_short Neural circuit analysis using a novel intersectional split intein-mediated split-Cre recombinase system
title_sort neural circuit analysis using a novel intersectional split intein-mediated split-cre recombinase system
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331137/
https://www.ncbi.nlm.nih.gov/pubmed/32616061
http://dx.doi.org/10.1186/s13041-020-00640-2
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