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ExBoX – a simple Boolean exclusion strategy to drive expression in neurons
The advent of modern single-cell biology has revealed the striking molecular diversity of cell populations once thought to be more homogeneous. This newly appreciated complexity has made intersectional genetic approaches essential to understanding and probing cellular heterogeneity at the functional...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572001/ https://www.ncbi.nlm.nih.gov/pubmed/34515305 http://dx.doi.org/10.1242/jcs.257212 |
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author | Ubina, Teresa Vahedi-Hunter, Tyler Agnew-Svoboda, Will Wong, Wenny Gupta, Akshay Santhakumar, Vijayalakshmi Riccomagno, Martin M. |
author_facet | Ubina, Teresa Vahedi-Hunter, Tyler Agnew-Svoboda, Will Wong, Wenny Gupta, Akshay Santhakumar, Vijayalakshmi Riccomagno, Martin M. |
author_sort | Ubina, Teresa |
collection | PubMed |
description | The advent of modern single-cell biology has revealed the striking molecular diversity of cell populations once thought to be more homogeneous. This newly appreciated complexity has made intersectional genetic approaches essential to understanding and probing cellular heterogeneity at the functional level. Here, we build on previous knowledge to develop a simple adeno-associated virus (AAV)-based approach to define specific subpopulations of cells by Boolean exclusion logic (AND NOT). This expression by Boolean exclusion (ExBoX) system encodes for a gene of interest that is turned on by a particular recombinase (Cre or FlpO) and turned off by another. ExBoX allows for the specific transcription of a gene of interest in cells expressing only the activating recombinase, but not in cells expressing both. We show the ability of the ExBoX system to tightly regulate expression of fluorescent reporters in vitro and in vivo, and further demonstrate the adaptability of the system by achieving expression of a variety of virally delivered coding sequences in the mouse brain. This simple strategy will expand the molecular toolkit available for cell- and time-specific gene expression in a variety of systems. |
format | Online Article Text |
id | pubmed-8572001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-85720012021-11-12 ExBoX – a simple Boolean exclusion strategy to drive expression in neurons Ubina, Teresa Vahedi-Hunter, Tyler Agnew-Svoboda, Will Wong, Wenny Gupta, Akshay Santhakumar, Vijayalakshmi Riccomagno, Martin M. J Cell Sci Tools and Resources The advent of modern single-cell biology has revealed the striking molecular diversity of cell populations once thought to be more homogeneous. This newly appreciated complexity has made intersectional genetic approaches essential to understanding and probing cellular heterogeneity at the functional level. Here, we build on previous knowledge to develop a simple adeno-associated virus (AAV)-based approach to define specific subpopulations of cells by Boolean exclusion logic (AND NOT). This expression by Boolean exclusion (ExBoX) system encodes for a gene of interest that is turned on by a particular recombinase (Cre or FlpO) and turned off by another. ExBoX allows for the specific transcription of a gene of interest in cells expressing only the activating recombinase, but not in cells expressing both. We show the ability of the ExBoX system to tightly regulate expression of fluorescent reporters in vitro and in vivo, and further demonstrate the adaptability of the system by achieving expression of a variety of virally delivered coding sequences in the mouse brain. This simple strategy will expand the molecular toolkit available for cell- and time-specific gene expression in a variety of systems. The Company of Biologists Ltd 2021-10-20 /pmc/articles/PMC8572001/ /pubmed/34515305 http://dx.doi.org/10.1242/jcs.257212 Text en © 2021. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Tools and Resources Ubina, Teresa Vahedi-Hunter, Tyler Agnew-Svoboda, Will Wong, Wenny Gupta, Akshay Santhakumar, Vijayalakshmi Riccomagno, Martin M. ExBoX – a simple Boolean exclusion strategy to drive expression in neurons |
title | ExBoX – a simple Boolean exclusion strategy to drive expression in neurons |
title_full | ExBoX – a simple Boolean exclusion strategy to drive expression in neurons |
title_fullStr | ExBoX – a simple Boolean exclusion strategy to drive expression in neurons |
title_full_unstemmed | ExBoX – a simple Boolean exclusion strategy to drive expression in neurons |
title_short | ExBoX – a simple Boolean exclusion strategy to drive expression in neurons |
title_sort | exbox – a simple boolean exclusion strategy to drive expression in neurons |
topic | Tools and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572001/ https://www.ncbi.nlm.nih.gov/pubmed/34515305 http://dx.doi.org/10.1242/jcs.257212 |
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