Single cell enhancer activity distinguishes GABAergic and cholinergic lineages in embryonic mouse basal ganglia

Proc Natl Acad Sci U S A. 2022 Apr 12;119(15):e2108760119. doi: 10.1073/pnas.2108760119. Epub 2022 Apr 4.

Abstract

Enhancers integrate transcription factor signaling pathways that drive cell fate specification in the developing brain. We paired enhancer labeling and single-cell RNA-sequencing (scRNA-seq) to delineate and distinguish specification of neuronal lineages in mouse medial, lateral, and caudal ganglionic eminences (MGE, LGE, and CGE) at embryonic day (E)11.5. We show that scRNA-seq clustering using transcription factors improves resolution of regional and developmental populations, and that enhancer activities identify specific and overlapping GE-derived neuronal populations. First, we mapped the activities of seven evolutionarily conserved brain enhancers at single-cell resolution in vivo, finding that the selected enhancers had diverse activities in specific progenitor and neuronal populations across the GEs. We then applied enhancer-based labeling, scRNA-seq, and analysis of in situ hybridization data to distinguish transcriptionally distinct and spatially defined subtypes of MGE-derived GABAergic and cholinergic projection neurons and interneurons. Our results map developmental origins and specification paths underlying neurogenesis in the embryonic basal ganglia and showcase the power of scRNA-seq combined with enhancer-based labeling to resolve the complex paths of neuronal specification underlying mouse brain development.

Keywords: development; enhancer; genetics; neurogenesis; neuroscience.

MeSH terms

  • Animals
  • Basal Ganglia* / cytology
  • Basal Ganglia* / embryology
  • Cell Lineage / genetics
  • Cholinergic Neurons* / metabolism
  • Enhancer Elements, Genetic*
  • GABAergic Neurons* / metabolism
  • Mice
  • Neurogenesis* / genetics
  • RNA-Seq
  • Single-Cell Analysis
  • Transcription Factors / genetics
  • Transcription Factors / metabolism

Substances

  • Transcription Factors