Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782455385023578112 |
---|---|
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 |
format | Online Article Text |
id | pubmed-5035142 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sørensenandreast arobustactivitymarkingsystemforexploringactiveneuronalensembles AT cooperyonatana arobustactivitymarkingsystemforexploringactiveneuronalensembles AT barattamichaelv arobustactivitymarkingsystemforexploringactiveneuronalensembles AT wengfengju arobustactivitymarkingsystemforexploringactiveneuronalensembles AT zhangyuxiang arobustactivitymarkingsystemforexploringactiveneuronalensembles AT ramamoorthikartik arobustactivitymarkingsystemforexploringactiveneuronalensembles AT fropfrobin arobustactivitymarkingsystemforexploringactiveneuronalensembles AT laverriereemily arobustactivitymarkingsystemforexploringactiveneuronalensembles AT xuejian arobustactivitymarkingsystemforexploringactiveneuronalensembles AT youngandrew arobustactivitymarkingsystemforexploringactiveneuronalensembles AT schneidercolleen arobustactivitymarkingsystemforexploringactiveneuronalensembles AT gøtzschecasperrene arobustactivitymarkingsystemforexploringactiveneuronalensembles AT hembergmartin arobustactivitymarkingsystemforexploringactiveneuronalensembles AT yinjerrycp arobustactivitymarkingsystemforexploringactiveneuronalensembles AT maierstevenf arobustactivitymarkingsystemforexploringactiveneuronalensembles AT linyingxi arobustactivitymarkingsystemforexploringactiveneuronalensembles AT sørensenandreast robustactivitymarkingsystemforexploringactiveneuronalensembles AT cooperyonatana robustactivitymarkingsystemforexploringactiveneuronalensembles AT barattamichaelv robustactivitymarkingsystemforexploringactiveneuronalensembles AT wengfengju robustactivitymarkingsystemforexploringactiveneuronalensembles AT zhangyuxiang robustactivitymarkingsystemforexploringactiveneuronalensembles AT ramamoorthikartik robustactivitymarkingsystemforexploringactiveneuronalensembles AT fropfrobin robustactivitymarkingsystemforexploringactiveneuronalensembles AT laverriereemily robustactivitymarkingsystemforexploringactiveneuronalensembles AT xuejian robustactivitymarkingsystemforexploringactiveneuronalensembles AT youngandrew robustactivitymarkingsystemforexploringactiveneuronalensembles AT schneidercolleen robustactivitymarkingsystemforexploringactiveneuronalensembles AT gøtzschecasperrene robustactivitymarkingsystemforexploringactiveneuronalensembles AT hembergmartin robustactivitymarkingsystemforexploringactiveneuronalensembles AT yinjerrycp robustactivitymarkingsystemforexploringactiveneuronalensembles AT maierstevenf robustactivitymarkingsystemforexploringactiveneuronalensembles AT linyingxi robustactivitymarkingsystemforexploringactiveneuronalensembles |