Single-cell transcriptomes and whole-brain projections of serotonin neurons in the mouse dorsal and median raphe nuclei

Elife. 2019 Oct 24:8:e49424. doi: 10.7554/eLife.49424.

Abstract

Serotonin neurons of the dorsal and median raphe nuclei (DR, MR) collectively innervate the entire forebrain and midbrain, modulating diverse physiology and behavior. To gain a fundamental understanding of their molecular heterogeneity, we used plate-based single-cell RNA-sequencing to generate a comprehensive dataset comprising eleven transcriptomically distinct serotonin neuron clusters. Systematic in situ hybridization mapped specific clusters to the principal DR, caudal DR, or MR. These transcriptomic clusters differentially express a rich repertoire of neuropeptides, receptors, ion channels, and transcription factors. We generated novel intersectional viral-genetic tools to access specific subpopulations. Whole-brain axonal projection mapping revealed that DR serotonin neurons co-expressing vesicular glutamate transporter-3 preferentially innervate the cortex, whereas those co-expressing thyrotropin-releasing hormone innervate subcortical regions in particular the hypothalamus. Reconstruction of 50 individual DR serotonin neurons revealed diverse and segregated axonal projection patterns at the single-cell level. Together, these results provide a molecular foundation of the heterogenous serotonin neuronal phenotypes.

Keywords: dorsal raphe; intersectional labeling; medial raphe; mouse; neuroscience; sc-RNAseq; serotonin; single cell reconstruction.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Brain Mapping
  • Mice
  • Neural Pathways / anatomy & histology*
  • Neural Pathways / physiology*
  • Raphe Nuclei / cytology*
  • Raphe Nuclei / physiology*
  • Sequence Analysis, RNA
  • Serotonergic Neurons / cytology*
  • Serotonergic Neurons / physiology*
  • Single-Cell Analysis
  • Transcriptome*

Associated data

  • GEO/GSE135132