Transgenic targeting of recombinant rabies virus reveals monosynaptic connectivity of specific neurons

Aldis P. Weible, Leslie Schwarcz, Ian R. Wickersham, Leah DeBlander, Haiyan Wu, Edward M. Callaway, Hyunjune Sebastian Seung, Clifford G. Kentros

Research output: Contribution to journalArticle

36 Scopus citations

Abstract

Understanding how neural circuits work requires a detailed knowledge of cellular-level connectivity. Our current understanding of neural circuitry is limited by the constraints of existing tools for transsynaptic tracing. Some of the most intractable problems are a lack of cellular specificity of uptake, transport across multiple synaptic steps conflating direct and indirect inputs, and poor labeling of minor inputs. We used a novel combination of transgenic mouse technology and a recently developed tracing system based on rabies virus (Wickersham et al., 2007a,b) to overcome all three constraints. Because the virus requires transgene expression for both initial infection and subsequent retrograde transsynaptic infection, we created several lines of mice that express these genes in defined cell types using the tetracycline-dependent transactivator system (Mansuy and Bujard, 2000). Fluorescent labeling from viral replication is thereby restricted to defined neuronal cell types and their direct monosynaptic inputs. Because viral replication does not depend on transgene expression, it provides robust amplification of signal in presynaptic neurons regardless of input strength. We injected virus into transgenic crosses expressing the viral transgenes in specific cell types of the hippocampus formation to demonstrate cell-specific infection and monosynaptic retrograde transport of virus, which strongly labels even minor inputs. Such neuron-specific transgenic complementation of recombinant rabies virus holds great promise for obtaining cellular-resolution wiring diagrams of the mammalian CNS.

Original languageEnglish (US)
Pages (from-to)16509-16513
Number of pages5
JournalJournal of Neuroscience
Volume30
Issue number49
DOIs
StatePublished - Dec 8 2010

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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