4.8 Article

Genetic and epigenetic coordination of cortical interneuron development

Journal

NATURE
Volume 597, Issue 7878, Pages 693-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41586-021-03933-1

Keywords

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Funding

  1. National Institutes of Health (NIH) [1UG3MH120096-01, 5R01MH071679-15, F31NS103398, R01DK103358, R35GM122515, R01AI130945]
  2. Simons Foundation
  3. NSF-IOS [1546218]
  4. NSF-CBET [1728858]
  5. Direct For Mathematical & Physical Scien
  6. Division Of Materials Research [1728858] Funding Source: National Science Foundation

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The study reveals that cortical interneurons, such as parvalbumin- and somatostatin-positive cells, originate from common lineages but exhibit distinct anatomical and functional differences in adulthood. It also shows how developmental changes in transcription and chromatin structure enable these cells to acquire unique identities and specialized properties by adulthood.
One of the hallmarks of the cerebral cortex is the extreme diversity of interneurons(1-3). The two largest subtypes of cortical interneurons, parvalbumin- and somatostatin-positive cells, are morphologically and functionally distinct in adulthood but arise from common lineages within the medial ganglionic eminence(4-11). This makes them an attractive model for studying the generation of cell diversity. Here we examine how developmental changes in transcription and chromatin structure enable these cells to acquire distinct identities in the mouse cortex. Generic interneuron features are first detected upon cell cycle exit through the opening of chromatin at distal elements. By constructing cell-type-specific gene regulatory networks, we observed that parvalbumin- and somatostatin-positive cells initiate distinct programs upon settling within the cortex. We used these networks to model the differential transcriptional requirement of a shared regulator, Mef2c, and confirmed the accuracy of our predictions through experimental loss-of-function experiments. We therefore reveal how a common molecular program diverges to enable these neuronal subtypes to acquire highly specialized properties by adulthood. Our methods provide a framework for examining the emergence of cellular diversity, as well as for quantifying and predicting the effect of candidate genes on cell-type-specific development.

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