A Resource of Cre Driver Lines for Genetic Targeting of GABAergic Neurons in Cerebral Cortex

Hiroki Taniguchi, Miao He, Priscilla Wu, Sangyong Kim, Raehum Paik, Ken Sugino, Duda Kvitsani, Yu Fu, Jiangteng Lu, Ying Lin, Goichi Miyoshi, Yasuyuki Shima, Gord Fishell, Sacha B. Nelson, Z. Josh Huang

Research output: Contribution to journalArticlepeer-review

Abstract

A key obstacle to understanding neural circuits in the cerebral cortex is that of unraveling the diversity of GABAergic interneurons. This diversity poses general questions for neural circuit analysis: how are these interneuron cell types generated and assembled into stereotyped local circuits and how do they differentially contribute to circuit operations that underlie cortical functions ranging from perception to cognition? Using genetic engineering in mice, we have generated and characterized approximately 20 Cre and inducible CreER knockin driver lines that reliably target major classes and lineages of GABAergic neurons. More select populations are captured by intersection of Cre and Flp drivers. Genetic targeting allows reliable identification, monitoring, and manipulation of cortical GABAergic neurons, thereby enabling a systematic and comprehensive analysis from cell fate specification, migration, and connectivity, to their functions in network dynamics and behavior. As such, this approach will accelerate the study of GABAergic circuits throughout the mammalian brain.

Original languageEnglish (US)
Pages (from-to)995-1013
Number of pages19
JournalNeuron
Volume71
Issue number6
DOIs
StatePublished - Sep 22 2011

ASJC Scopus subject areas

  • Neuroscience(all)

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