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Genetic dissection of the glutamatergic neuron system in cerebral cortex

  • Katherine S. Matho
  • , Dhananjay Huilgol
  • , William Galbavy
  • , Miao He
  • , Gukhan Kim
  • , Xu An
  • , Jiangteng Lu
  • , Priscilla Wu
  • , Daniela J. Di Bella
  • , Ashwin S. Shetty
  • , Ramesh Palaniswamy
  • , Joshua Hatfield
  • , Ricardo Raudales
  • , Arun Narasimhan
  • , Eric Gamache
  • , Jesse M. Levine
  • , Jason Tucciarone
  • , Eric Szelenyi
  • , Julie A. Harris
  • , Partha P. Mitra
  • Pavel Osten, Paola Arlotta, Z. Josh Huang
  • Cold Spring Harbor Laboratory
  • Duke University Medical Center
  • Stony Brook University
  • Fudan University
  • and Shanghai Jiaotong University School of Medicine
  • Harvard University
  • Stony Brook University
  • Stanford University School of Medicine
  • Allen Institute for Brain Science
  • Department of Molecular Biology

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

Diverse types of glutamatergic pyramidal neurons mediate the myriad processing streams and output channels of the cerebral cortex1,2, yet all derive from neural progenitors of the embryonic dorsal telencephalon3,4. Here we establish genetic strategies and tools for dissecting and fate-mapping subpopulations of pyramidal neurons on the basis of their developmental and molecular programs. We leverage key transcription factors and effector genes to systematically target temporal patterning programs in progenitors and differentiation programs in postmitotic neurons. We generated over a dozen temporally inducible mouse Cre and Flp knock-in driver lines to enable the combinatorial targeting of major progenitor types and projection classes. Combinatorial strategies confer viral access to subsets of pyramidal neurons defined by developmental origin, marker expression, anatomical location and projection targets. These strategies establish an experimental framework for understanding the hierarchical organization and developmental trajectory of subpopulations of pyramidal neurons that assemble cortical processing networks and output channels.

langue originaleAnglais
Pages (de - à)182-187
Nombre de pages6
journalNature
Volume598
Numéro de publication7879
Les DOIs
étatPublié - 7 oct. 2021
Modification externeOui

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