Epithelial Planar Bipolarity Emerges from Notch-Mediated Asymmetric Inhibition of Emx2

  • Eva L. Kozak
  • , Subarna Palit
  • , Jerónimo R. Miranda-Rodríguez
  • , Aleksandar Janjic
  • , Anika Böttcher
  • , Heiko Lickert
  • , Wolfgang Enard
  • , Fabian J. Theis
  • , Hernán López-Schier

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Most plane-polarized tissues are formed by identically oriented cells [1, 2]. A notable exception occurs in the vertebrate vestibular system and lateral-line neuromasts, where mechanosensory hair cells orient along a single axis but in opposite directions to generate bipolar epithelia [3–5]. In zebrafish neuromasts, pairs of hair cells arise from the division of a non-sensory progenitor [6, 7] and acquire opposing planar polarity via the asymmetric expression of the polarity-determinant transcription factor Emx2 [8–11]. Here, we reveal the initial symmetry-breaking step by decrypting the developmental trajectory of hair cells using single-cell RNA sequencing (scRNA-seq), diffusion pseudotime analysis, lineage tracing, and mutagenesis. We show that Emx2 is absent in non-sensory epithelial cells, begins expression in hair-cell progenitors, and is downregulated in one of the sibling hair cells via signaling through the Notch1a receptor. Analysis of Emx2-deficient specimens, in which every hair cell adopts an identical direction, indicates that Emx2 asymmetry does not result from auto-regulatory feedback. These data reveal a two-tiered mechanism by which the symmetric monodirectional ground state of the epithelium is inverted by deterministic initiation of Emx2 expression in hair-cell progenitors and a subsequent stochastic repression of Emx2 in one of the sibling hair cells breaks directional symmetry to establish planar bipolarity.

Original languageEnglish
Pages (from-to)1142-1151.e6
JournalCurrent Biology
Volume30
Issue number6
DOIs
StatePublished - 23 Mar 2020

Keywords

  • diffusion pseudotime
  • hair cells
  • planar polarity
  • single-cell RNA sequencing

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