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Cre-lox neurogenetics: 20 years of versatile applications in brain research and counting...

  • Joe Z. Tsien(corresponding author)
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

Defining and manipulating specific neurons in the brain has garnered enormous interest in recent years, because such an approach is now widely recognized as crucial for deepening our understanding of how the brain works. When I started exploring the Cre-loxP recombination for brain research in the early 1990s, it was written off as a dead-end project by a young fool. Yet over the past 20 years, Cre-lox recombination-mediated neurogenetics has emerged as one of the most powerful and versatile technology platforms for cell-specific gene knockouts, transgenic overexpression, Brainbow imaging, neural pathway tracing with retrovirus and CLARITY, chemical genetics, and optogenetics. Its popularity and greater utility in neuroscience research is also largely thanks to the NIH's bold Blueprint for Neuroscience Research Initiative to launch several Cre-driver resource projects, as well as individual laboratories and private research organizations. With newly-discovered, genetically-encoded molecules that are capable of responding to sonar and magnetic stimulation, for sonogenetics or magnetogenetics, respectively, or detecting rapid voltage changes in neurons, Cre-lox neurogenetics will continue to aid brain research for years to come.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

19

Journal (Volume, Issue Number)

Frontiers in Genetics (Volume 7, Issue FEB)

Publication milestones

  • Published - 2016

Publication status

Published - 2016

ISSN

1664-8021

Publication IDs

  • Scopus: 84962569849

Publication metrics

Metrics

Fractional count
1
Fractional count
1
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
citations
26
SciVal
FWCI
1.79
SciVal
Author count
1
SciVal
Paper percentile
89

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