Intersectional mapping of multi-transmitter neurons and other cell types in the brain.
Intersectional mapping of multi-transmitter neurons and other cell types in the brain.
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DOI:
10.1016/j.celrep.2022.111036
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发表时间:
2022-07-05
期刊:
影响因子:
8.8
通讯作者:
Zhu, Yongling
中科院分区:
文献类型:
--
作者:
Xu, Jian;Jo, Andrew;DeVries, Raina P.;Deniz, Sercan;Cherian, Suraj;Sunmola, Idris;Song, Xingqi;Marshall, John J.;Gruner, Katherine A.;Daigle, Tanya L.;Contractor, Anis;Lerner, Talia N.;Zeng, Hongkui;Zhu, Yongling
Recent developments in intersectional strategies have greatly advanced our ability to precisely target brain cell types based on unique co-expression patterns. To accelerate the application of intersectional genetics, we perform a brain-wide characterization of 13 Flp and tTA mouse driver lines and selected seven for further analysis based on expression of vesicular neurotransmitter transporters. Using selective Cre driver lines, we created more than 10 Cre/tTA combinational lines for cell type targeting and circuit analysis. We then used VGLUT-Cre/VGAT-Flp combinational lines to identify and map 30 brain regions containing neurons that co-express vesicular glutamate and gamma-aminobutyric acid (GABA) transporters, followed by tracing their projections with intersectional viral vectors. Focusing on the lateral habenula (LHb) as a target, we identified glutamatergic, GABAergic, or co-glutamatergic/GABAergic innervations from ~40 brain regions. These data provide an important resource for the future application of intersectional strategies and expand our understanding of the neuronal subtypes in the brain. Xu et al. characterize Flp and tTA mouse driver lines, map VGLUT/VGAT co-expressing neurons in the brain, and trace LHb-projecting neurons along with the type of transmission. This study provides a resource for the future application of intersectional strategies and expands our understanding of glutamate/GABA co-releasing neurons in the brain.
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影响因子:
16.2
作者:
He M;Tucciarone J;Lee S;Nigro MJ;Kim Y;Levine JM;Kelly SM;Krugikov I;Wu P;Chen Y;Gong L;Hou Y;Osten P;Rudy B;Huang ZJ
通讯作者:
Huang ZJ
影响因子:
64.5
作者:
Cowan CS;Renner M;De Gennaro M;Gross-Scherf B;Goldblum D;Hou Y;Munz M;Rodrigues TM;Krol J;Szikra T;Cuttat R;Waldt A;Papasaikas P;Diggelmann R;Patino-Alvarez CP;Galliker P;Spirig SE;Pavlinic D;Gerber-Hollbach N;Schuierer S;Srdanovic A;Balogh M;Panero R;Kusnyerik A;Szabo A;Stadler MB;Orgül S;Picelli S;Hasler PW;Hierlemann A;Scholl HPN;Roma G;Nigsch F;Roska B
通讯作者:
Roska B
影响因子:
2.5
作者:
Boulland, JL;Qureshi, T;Chaudhry, FA
通讯作者:
Chaudhry, FA
影响因子:
5.3
作者:
Fasano, Caroline;Rocchetti, Jill;El Mestikawy, Salah
通讯作者:
El Mestikawy, Salah
影响因子:
--
作者:
Gray, Steven J;Choi, Vivian W;Asokan, Aravind;Haberman, Rebecca A;McCown, Thomas J;Samulski, Richard Jude
通讯作者:
Samulski, Richard Jude