A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality
Cell·2018898 cites
20182026
898
Daigle, Tanya L. and Madisen, Linda and Hage, Travis A. and Valley, Matthew T. and Knoblich, Ulf and Larsen, Rylan S. and Takeno, Marc M. and Huang, Lawrence and Gu, Hong and Larsen, Rachael and Mills, Maya and Bosma-Moody, Alice and Siverts, La' Akea and Walker, Miranda and Graybuck, Lucas T. and Yao, Zizhen and Fong, Olivia and Nguyen, Thuc Nghi and Garren, Emma and Lenz, Garreck H. and Chavarha, Mariya and Pendergraft, Julie and Harrington, James and Hirokawa, Karla E. and Harris, Julie A. and Nicovich, Philip R. and McGraw, Medea J. and Ollerenshaw, Douglas R. and Smith, Kimberly A. and Baker, Christopher A. and Ting, Jonathan T. and Sunkin, Susan M. and Lecoq, J\'er\^ome and Lin, Michael Z. and Boyden, Edward S. and Murphy, Gabe J. and da Costa, Nuno M. and Waters, Jack and Li, Lu and Tasic, Bosiljka and Zeng, Hongkui
Modern genetic approaches are powerful in providing access to diverse cell types in the brain and facilitating the study of their function. Here, we report a large set of driver and reporter transgenic mouse lines, including 23 new driver lines targeting a variety of cortical and subcortical cell populations and 26 new reporter lines expressing an array of molecular tools. In particular, we describe the TIGRE2.0 transgenic platform and introduce Cre-dependent reporter lines that enable optical physiology, optogenetics, and sparse labeling of genetically defined cell populations. TIGRE2.0 reporters broke the barrier in transgene expression level of single-copy targeted-insertion transgenesis in a wide range of neuronal types, along with additional advantage of a simplified breeding strategy compared to our first-generation TIGRE lines. These novel transgenic lines greatly expand the repertoire of high-precision genetic tools available to effectively identify, monitor, and manipulate distinct cell types in the mouse brain.
Fetch this paper artifact. Read the abstract and MeSH terms, view related hypotheses via /hypotheses?paper=[id], explore the citation network, signal relevance via scidex.signal, or add a comment via scidex.comments.create.