An Intersectional Viral-Genetic Method for Fluorescent Tracing of Axon Collaterals Reveals Details of Noradrenergic Locus Coeruleus Structure

Understanding the function of broadly projecting neurons depends on comprehensive knowledge of the distribution and targets of their axon collaterals. While retrograde tracers and, more recently, retrograde viral vectors have been used to identify efferent projections, they have limited ability to r...

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Published ineNeuro Vol. 7; no. 3; p. ENEURO.0010-20.2020
Main Authors Plummer, Nicholas W, Chandler, Daniel J, Powell, Jeanne M, Scappini, Erica L, Waterhouse, Barry D, Jensen, Patricia
Format Journal Article
LanguageEnglish
Published United States Society for Neuroscience 01.05.2020
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Summary:Understanding the function of broadly projecting neurons depends on comprehensive knowledge of the distribution and targets of their axon collaterals. While retrograde tracers and, more recently, retrograde viral vectors have been used to identify efferent projections, they have limited ability to reveal the full pattern of axon collaterals from complex, heterogeneous neuronal populations. Here we describe TrAC (tracing axon collaterals), an intersectional recombinase-based viral-genetic strategy that allows simultaneous visualization of axons from a genetically defined neuronal population and a projection-based subpopulation. To test this new method, we have applied TrAC to analysis of locus coeruleus norepinephrine (LC-NE)-containing neurons projecting to medial prefrontal cortex (mPFC) and primary motor cortex (M1) in laboratory mice. TrAC allowed us to label each projection-based LC-NE subpopulation, together with all remaining LC-NE neurons, in isolation from other noradrenergic populations. This analysis revealed mPFC-projecting and M1-projecting LC-NE subpopulations differ from each other and from the LC as a whole in their patterns of axon collateralization. Thus, TrAC complements and extends existing axon tracing methods by permitting analyses that have not previously been possible with complex genetically defined neuronal populations.
Bibliography:This work was supported by the Intramural Research Program of the National Institutes of Health, National Institute of Environmental Health Sciences Grant ZIA-ES-102805 (to P.J.), and by the Extramural Research Program of the National Institutes of Health, National Institute of Mental Health Grant 1R01MH101178-01A1 (to B.D.W.).
N.W.P. and D.J.C. contributed equally to this work.
The authors declare no competing financial interests.
Author contributions: N.W.P., D.J.C., B.D.W., and P.J. designed research; N.W.P., D.J.C., J.M.P., and E.L.S. performed research; N.W.P., D.J.C., J.M.P., E.L.S., B.D.W., and P.J. analyzed data; N.W.P., D.J.C., B.D.W., and P.J. wrote the paper.
ISSN:2373-2822
2373-2822
DOI:10.1523/eneuro.0010-20.2020