Enhancer viruses for combinatorial cell-subclass-specific labeling.
Enhancer viruses for combinatorial cell-subclass-specific labeling.
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DOI:
10.1016/j.neuron.2021.03.011
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发表时间:
2021-05-05
期刊:
影响因子:
16.2
通讯作者:
Tasic B
中科院分区:
文献类型:
--
作者:
Graybuck LT;Daigle TL;Sedeño-Cortés AE;Walker M;Kalmbach B;Lenz GH;Morin E;Nguyen TN;Garren E;Bendrick JL;Kim TK;Zhou T;Mortrud M;Yao S;Siverts LA;Larsen R;Gore BB;Szelenyi ER;Trader C;Balaram P;van Velthoven CTJ;Chiang M;Mich JK;Dee N;Goldy J;Cetin AH;Smith K;Way SW;Esposito L;Yao Z;Gradinaru V;Sunkin SM;Lein E;Levi BP;Ting JT;Zeng H;Tasic B
Rapid cell type identification by new genomic single-cell analysis methods has not been met with efficient experimental access to these cell types. To facilitate access to specific neural populations in mouse cortex, we collected chromatin accessibility data from individual cells and identified enhancers specific for cell subclasses and types. When cloned into recombinant adeno-associated viruses (AAVs) and delivered to the brain, these enhancers drive transgene expression in specific cortical cell subclasses. We extensively characterized several enhancer AAVs to show that they label different projection neuron subclasses as well as a homologous neuron subclass in human cortical slices. We also show how coupling enhancer viruses expressing recombinases to a newly generated transgenic mouse, Ai213, enables strong labeling of three different neuronal classes/subclasses in the brain of a single transgenic animal. This approach combines unprecedented flexibility with specificity for investigation of cell types in the mouse brain and beyond. Graybuck and Daigle et al., generated a single-cell chromatin accessibility dataset for adult mouse cortex and identified functional enhancer elements. They created a suite of enhancer-containing adeno associated viruses to label genetically defined cell populations in the mouse brain.
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影响因子:
64.8
作者:
Harris JA;Mihalas S;Hirokawa KE;Whitesell JD;Choi H;Bernard A;Bohn P;Caldejon S;Casal L;Cho A;Feiner A;Feng D;Gaudreault N;Gerfen CR;Graddis N;Groblewski PA;Henry AM;Ho A;Howard R;Knox JE;Kuan L;Kuang X;Lecoq J;Lesnar P;Li Y;Luviano J;McConoughey S;Mortrud MT;Naeemi M;Ng L;Oh SW;Ouellette B;Shen E;Sorensen SA;Wakeman W;Wang Q;Wang Y;Williford A;Phillips JW;Jones AR;Koch C;Zeng H
通讯作者:
Zeng H
影响因子:
25
作者:
Chan KY;Jang MJ;Yoo BB;Greenbaum A;Ravi N;Wu WL;Sánchez-Guardado L;Lois C;Mazmanian SK;Deverman BE;Gradinaru V
通讯作者:
Gradinaru V
影响因子:
5.3
作者:
Baker, Arielle;Kalmbach, Brian;Dembrow, Nikolai
通讯作者:
Dembrow, Nikolai
影响因子:
64.8
作者:
Buenrostro JD;Wu B;Litzenburger UM;Ruff D;Gonzales ML;Snyder MP;Chang HY;Greenleaf WJ
通讯作者:
Greenleaf WJ
DOI:
10.1016/j.cub.2018.05.015
发表时间:
2018-07-09
期刊:
Current biology : CB
影响因子:
--
作者:
Blankvoort S;Witter MP;Noonan J;Cotney J;Kentros C
通讯作者:
Kentros C