Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance

Autor: Alexander van der Bourg, Maya Mills, Amy S. Chuong, Adrian Cheng, Andrea Benucci, Atsushi Miyawaki, Ladan Egolf, Matteo Carandini, Nathan C. Klapoetke, Fritjof Helmchen, Bosiljka Tasic, Edward S. Boyden, Susan M. Sunkin, Lu Li, R. Clay Reid, Yusuke Niino, Andras Nagy, Claudio Monetti, Ruth M. Empson, Hong Gu, Linda Madisen, Thomas Knöpfel, Thuc Nghi Nguyen, Aleena R. Garner, Hongkui Zeng, Daisuke Shimaoka
Přispěvatelé: University of Zurich, Zeng, Hongkui, Massachusetts Institute of Technology. Media Laboratory, McGovern Institute for Brain Research at MIT, Chuong, Amy S, Klapoetke, Nathan Cao, Boyden, Edward
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: PMC
ResearcherID
DOI: 10.5167/uzh-117185
Popis: available in PMC 2016 March 04
An increasingly powerful approach for studying brain circuits relies on targeting genetically encoded sensors and effectors to specific cell types. However, current approaches for this are still limited in functionality and specificity. Here we utilize several intersectional strategies to generate multiple transgenic mouse lines expressing high levels of novel genetic tools with high specificity. We developed driver and double reporter mouse lines and viral vectors using the Cre/Flp and Cre/Dre double recombinase systems and established a new, retargetable genomic locus, TIGRE, which allowed the generation of a large set of Cre/tTA-dependent reporter lines expressing fluorescent proteins, genetically encoded calcium, voltage, or glutamate indicators, and optogenetic effectors, all at substantially higher levels than before. High functionality was shown in example mouse lines for GCaMP6, YCX2.60, VSFP Butterfly 1.2, and Jaws. These novel transgenic lines greatly expand the ability to monitor and manipulate neuronal activities with increased specificity.
National Institutes of Health (U.S.) (NIH grant DA028298)
Wellcome Trust (London, England) (Grant)
National Institutes of Health (U.S.) (NIH grant MH085500)
Databáze: OpenAIRE