High-throughput morphometric and transcriptomic profiling uncovers composition of naïve and sensory-deprived cortical cholinergic VIP/CHAT neurons

Nadav Yayon, Oren Amsalem, Tamara Zorbaz, Or Yakov, Serafima Dubnov, Katarzyna Winek, Amir Dudai, Gil Adam, Anna K. Schmidtner, Marc Tessier-Lavigne, Nicolas Renier, Naomi Habib, Idan Segev, Michael London, Hermona Soreq*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Cortical neuronal networks control cognitive output, but their composition and modulation remain elusive. Here, we studied the morphological and transcriptional diversity of cortical cholinergic VIP/ChAT interneurons (VChIs), a sparse population with a largely unknown function. We focused on VChIs from the whole barrel cortex and developed a high-throughput automated reconstruction framework, termed PopRec, to characterize hundreds of VChIs from each mouse in an unbiased manner, while preserving 3D cortical coordinates in multiple cleared mouse brains, accumulating thousands of cells. We identified two fundamentally distinct morphological types of VChIs, bipolar and multipolar that differ in their cortical distribution and general morphological features. Following mild unilateral whisker deprivation on postnatal day seven, we found after three weeks both ipsi- and contralateral dendritic arborization differences and modified cortical depth and distribution patterns in the barrel fields alone. To seek the transcriptomic drivers, we developed NuNeX, a method for isolating nuclei from fixed tissues, to explore sorted VChIs. This highlighted differentially expressed neuronal structural transcripts, altered exitatory innervation pathways and established Elmo1 as a key regulator of morphology following deprivation.

Original languageEnglish
Article numbere110565
JournalEMBO Journal
Volume42
Issue number1
DOIs
StatePublished - 4 Jan 2023

Bibliographical note

Publisher Copyright:
© 2022 The Authors. Published under the terms of the CC BY NC ND 4.0 license.

Keywords

  • 3D
  • ChAT
  • deprivation
  • interneurons
  • reconstruction

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