Midbrain dopamine (DA) neurons have diverse functions that can in part be explained by their heterogeneity. Although molecularly distinct subtypes of DA neurons have been identified by single-cell gene expression profiling, fundamental features such as their projection patterns have not been elucidated. Progress in this regard has been hindered by the lack of genetic tools for studying DA neuron subtypes. Here we develop intersectional genetic labeling strategies, based on combinatorial gene expression, to map the projections of molecularly defined DA neuron subtypes. We reveal distinct genetically defined dopaminergic pathways arising from the substantia nigra pars compacta and from the ventral tegmental area that innervate specific regions of the caudate putamen, nucleus accumbens and amygdala. Together, the genetic toolbox and DA neuron subtype projections presented here constitute a resource that will accelerate the investigation of this clinically significant neurotransmitter system.
Lineage tracing aims to identify the progeny of a defined population of dividing progenitor cells, a daunting task in the developing central nervous system where thousands of cell types are generated. In mice, lineage analysis has been accomplished using Cre recombinase to indelibly label a defined progenitor population and its progeny. However, the interpretation of historical recombination events is hampered by the fact that driver genes are often expressed in both progenitors and postmitotic cells. Genetically inducible approaches provide temporal specificity but are afflicted by mosaicism and toxicity. Here, we present PRISM, a progenitor-restricted intersectional fate mapping approach in which Flp recombinase expression is both dependent on Cre and restricted to neural progenitors, thus circumventing the aforementioned confounds. This tool can be used in conjunction with existing Cre lines making it broadly applicable. We applied PRISM to resolve two developmentally important, but contentious, lineages-Shh and Cux2.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.