A robust activity marking system for exploring active neuronal ensembles

Andreas T. Sørensen(University of Copenhagen), Yonatan A. Cooper(McGovern Institute for Brain Research), Michael V. Baratta(University of Colorado Boulder), Feng‐Ju Weng(McGovern Institute for Brain Research), Yuxiang Zhang(McGovern Institute for Brain Research), Kartik Ramamoorthi(McGovern Institute for Brain Research), Robin Fropf(University of Wisconsin–Madison), Emily LaVerriere(McGovern Institute for Brain Research), Jian Xue(McGovern Institute for Brain Research), Andrew J. Young(McGovern Institute for Brain Research), Colleen Schneider(McGovern Institute for Brain Research), Casper R. Gøtzsche(National Institutes of Health), Martin Hemberg(Wellcome Sanger Institute), Jerry C. P. Yin(University of Wisconsin–Madison), Steven F. Maier(University of Colorado Boulder), Yingxi Lin(McGovern Institute for Brain Research)
eLife
September 23, 2016
Cited by 193Open Access
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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.


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