Nuclear RNA-seq of single neurons reveals molecular signatures of activation

被引:276
作者
Lacar, Benjamin [1 ]
Linker, Sara B. [1 ]
Jaeger, Baptiste N. [1 ]
Krishnaswami, Suguna [2 ]
Barron, Jerika [1 ]
Kelder, Martijn [1 ]
Parylak, Sarah [1 ]
Paquola, Apua [1 ]
Venepally, Pratap [2 ]
Novotny, Mark [1 ]
O'Connor, Carolyn [1 ]
Fitzpatrick, Conor [1 ]
Erwin, Jennifer [1 ]
Hsu, Jonathan Y. [1 ]
Husband, David [1 ]
McConnell, Michael J. [3 ]
Lasken, Roger [2 ]
Gage, Fred H. [1 ]
机构
[1] Salk Inst Biol Studies, Genet Lab, 10010 N Torrey Pines Rd, La Jolla, CA 92037 USA
[2] J Craig Venter Inst, La Jolla, CA 92037 USA
[3] Univ Virginia, Sch Med, Dept Biochem & Mol Genet, Charlottesville, VA 22908 USA
来源
NATURE COMMUNICATIONS | 2016年 / 7卷
关键词
C-FOS; GENE-EXPRESSION; DENTATE GYRUS; MEMBRANE DEPOLARIZATION; DOUBLE DISSOCIATION; NERVOUS-SYSTEM; CELL; CALCIUM; PROTEIN; TRANSCRIPTOME;
D O I
10.1038/ncomms11022
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully recapitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos, Arc and Egr1. SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes. In addition, we observe a continuum of activation states, revealing a pseudotemporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs, allowing for novel insights into neuronal activation patterns in vivo.
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页数:11
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