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A robust activity marking system for exploring active neuronal ensembles

Understanding how the brain captures transient experience and converts it into long lasting changes in neural circuits requires the identification and investigation of the specific ensembles of neurons that are responsible for the encoding of each experience. We have developed a Robust Activity Mark...

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Autores principales: Sørensen, Andreas T, Cooper, Yonatan A, Baratta, Michael V, Weng, Feng-Ju, Zhang, Yuxiang, Ramamoorthi, Kartik, Fropf, Robin, LaVerriere, Emily, Xue, Jian, Young, Andrew, Schneider, Colleen, Gøtzsche, Casper René, Hemberg, Martin, Yin, Jerry CP, Maier, Steven F, Lin, Yingxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5035142/
https://www.ncbi.nlm.nih.gov/pubmed/27661450
http://dx.doi.org/10.7554/eLife.13918
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author Sørensen, Andreas T
Cooper, Yonatan A
Baratta, Michael V
Weng, Feng-Ju
Zhang, Yuxiang
Ramamoorthi, Kartik
Fropf, Robin
LaVerriere, Emily
Xue, Jian
Young, Andrew
Schneider, Colleen
Gøtzsche, Casper René
Hemberg, Martin
Yin, Jerry CP
Maier, Steven F
Lin, Yingxi
author_facet Sørensen, Andreas T
Cooper, Yonatan A
Baratta, Michael V
Weng, Feng-Ju
Zhang, Yuxiang
Ramamoorthi, Kartik
Fropf, Robin
LaVerriere, Emily
Xue, Jian
Young, Andrew
Schneider, Colleen
Gøtzsche, Casper René
Hemberg, Martin
Yin, Jerry CP
Maier, Steven F
Lin, Yingxi
author_sort Sørensen, Andreas T
collection PubMed
description Understanding how the brain captures transient experience and converts it into long lasting changes in neural circuits requires the identification and investigation of the specific ensembles of neurons that are responsible for the encoding of each experience. We have developed a Robust Activity Marking (RAM) system that allows for the identification and interrogation of ensembles of neurons. The RAM system provides unprecedented high sensitivity and selectivity through the use of an optimized synthetic activity-regulated promoter that is strongly induced by neuronal activity and a modified Tet-Off system that achieves improved temporal control. Due to its compact design, RAM can be packaged into a single adeno-associated virus (AAV), providing great versatility and ease of use, including application to mice, rats, flies, and potentially many other species. Cre-dependent RAM, CRAM, allows for the study of active ensembles of a specific cell type and anatomical connectivity, further expanding the RAM system’s versatility. DOI: http://dx.doi.org/10.7554/eLife.13918.001
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spelling pubmed-50351422016-09-26 A robust activity marking system for exploring active neuronal ensembles Sørensen, Andreas T Cooper, Yonatan A Baratta, Michael V Weng, Feng-Ju Zhang, Yuxiang Ramamoorthi, Kartik Fropf, Robin LaVerriere, Emily Xue, Jian Young, Andrew Schneider, Colleen Gøtzsche, Casper René Hemberg, Martin Yin, Jerry CP Maier, Steven F Lin, Yingxi eLife Neuroscience Understanding how the brain captures transient experience and converts it into long lasting changes in neural circuits requires the identification and investigation of the specific ensembles of neurons that are responsible for the encoding of each experience. We have developed a Robust Activity Marking (RAM) system that allows for the identification and interrogation of ensembles of neurons. The RAM system provides unprecedented high sensitivity and selectivity through the use of an optimized synthetic activity-regulated promoter that is strongly induced by neuronal activity and a modified Tet-Off system that achieves improved temporal control. Due to its compact design, RAM can be packaged into a single adeno-associated virus (AAV), providing great versatility and ease of use, including application to mice, rats, flies, and potentially many other species. Cre-dependent RAM, CRAM, allows for the study of active ensembles of a specific cell type and anatomical connectivity, further expanding the RAM system’s versatility. DOI: http://dx.doi.org/10.7554/eLife.13918.001 eLife Sciences Publications, Ltd 2016-09-23 /pmc/articles/PMC5035142/ /pubmed/27661450 http://dx.doi.org/10.7554/eLife.13918 Text en © 2016, Sørensen et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Sørensen, Andreas T
Cooper, Yonatan A
Baratta, Michael V
Weng, Feng-Ju
Zhang, Yuxiang
Ramamoorthi, Kartik
Fropf, Robin
LaVerriere, Emily
Xue, Jian
Young, Andrew
Schneider, Colleen
Gøtzsche, Casper René
Hemberg, Martin
Yin, Jerry CP
Maier, Steven F
Lin, Yingxi
A robust activity marking system for exploring active neuronal ensembles
title A robust activity marking system for exploring active neuronal ensembles
title_full A robust activity marking system for exploring active neuronal ensembles
title_fullStr A robust activity marking system for exploring active neuronal ensembles
title_full_unstemmed A robust activity marking system for exploring active neuronal ensembles
title_short A robust activity marking system for exploring active neuronal ensembles
title_sort robust activity marking system for exploring active neuronal ensembles
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5035142/
https://www.ncbi.nlm.nih.gov/pubmed/27661450
http://dx.doi.org/10.7554/eLife.13918
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