Genetic dissection of glutamatergic neuron subpopulations and developmental trajectories in the cerebral cortex
| Autor: | Pavel Osten, Josh Huang, Julie A. Harris, Eric Gamache, Gukhan Kim, Xu An, Jason Tucciarone, Ricardo Raudales, Eric R. Szelenyi, Miao He, Katherine Matho, Paola Arlotta, Ashwin S. Shetty, Arun Narasimhan, Jesse Maurica Levine, Joshua T. Hatfield, Daniela J. Di Bella, Dhananjay Huilgol, Ramesh Palaniswamy, William Galbavy, Jiangteng Lu, Partha P. Mitra, Priscilla Wu |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Cerebrum Biology Embryonic stem cell 03 medical and health sciences Glutamatergic 0302 clinical medicine medicine.anatomical_structure Fate mapping Cerebral cortex medicine Neuron Transcription factor Neuroscience 030217 neurology & neurosurgery 030304 developmental biology Progenitor |
| DOI: | 10.1101/2020.04.22.054064 |
| Popis: | Diverse types of glutamatergic pyramidal neurons (PyNs) mediate the myriad processing streams and output channels of the cerebral cortex, yet all derive from neural progenitors of the embryonic dorsal telencephalon. Here, we establish genetic strategies and tools for dissecting and fate mapping PyN subpopulations based on their developmental and molecular programs. We leverage key transcription factors and effector genes to systematically target the temporal patterning programs in progenitors and differentiation programs in postmitotic neurons. We generated over a dozen of temporally inducible mouse Cre and Flp knock-in driver lines to enable combinatorial targeting of major progenitor types and projection classes. Intersectional converter lines confer viral access to specific subsets defined by developmental origin, marker expression, anatomical location and projection targets. These strategies establish an experimental framework for multi-modal characterization of PyN subpopulations and tracking their developmental trajectories toward elucidating the organization and assembly of cortical processing networks and output channels. |
| Databáze: | OpenAIRE |
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