Abstract

The mammalian neocortex is characterized by a variety of neuronal cell types and precise arrangements of synaptic connections, but the processes that generate this diversity are poorly understood. Here we examine how a pool of embryonic progenitor cells consisting of apical intermediate progenitors (aIPs) contribute to diversity within the upper layers of mouse cortex. In utero labeling combined with single-cell RNA-sequencing reveals that aIPs can generate transcriptionally defined glutamatergic cell types, when compared to neighboring neurons born from other embryonic progenitor pools. Whilst sharing layer-associated morphological and functional properties, simultaneous patch clamp recordings and optogenetic studies reveal that aIP-derived neurons exhibit systematic biases in both their intralaminar monosynaptic connectivity and the post-synaptic partners that they target within deeper layers of cortex. Multiple cortical progenitor pools therefore represent an important factor in establishing diversity amongst local and long-range fine-scale glutamatergic connectivity, which generates subnetworks for routing excitatory synaptic information.

Details

Title
Embryonic progenitor pools generate diversity in fine-scale excitatory cortical subnetworks
Author
Ellender, Tommas J 1   VIAFID ORCID Logo  ; Avery, Sophie V 1   VIAFID ORCID Logo  ; Mahfooz, Kashif 1   VIAFID ORCID Logo  ; Scaber, Jakub 2   VIAFID ORCID Logo  ; Alexander von Klemperer 1 ; Nixon, Sophie L 1   VIAFID ORCID Logo  ; Buchan, Matthew J 1   VIAFID ORCID Logo  ; van Rheede, Joram J 1   VIAFID ORCID Logo  ; Gatti, Aleksandra 1   VIAFID ORCID Logo  ; Waites, Cameron 1   VIAFID ORCID Logo  ; Pavlou, Hania J 2 ; Sims, David 2 ; Newey, Sarah E 1   VIAFID ORCID Logo  ; Akerman, Colin J 1   VIAFID ORCID Logo 

 Department of Pharmacology, University of Oxford, Oxford, UK 
 MRC Computational Genomics Analysis and Training Programme (CGAT), MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Oxford, UK 
Pages
1-16
Publication year
2019
Publication date
Nov 2019
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2315955156
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.