A robust activity marking system for exploring active neuronal ensembles
Name
Sorensen-2016-A robust activity marking system.pdf
Size
6.73 MB
Format
Adobe PDF
Checksum (MD5)
da8d181c18a3df7b7ae87ff73d086d99
Author(s)
Baratta, Michael V
Fropf, Robin
Hemberg, Martin
Yin, Jerry CP
Maier, Steven F
Sorensen, Andreas
Cooper, Yonatan Ariel
Weng, Feng-Ju
Zhang, Yuxiang
Ramamoorthi, Kartik
Date Issued
September 2016
Journal
eLife
Publisher
eLife Sciences Publications, Ltd.
Citation
Sørensen, Andreas T et al. “A Robust Activity Marking System for Exploring Active Neuronal Ensembles.” eLife 5 (2016): n. pag.
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.7554/eLife.13918
