Phenotypic variation within and across transcriptomic cell types in mouse motor cortex

Author:

Scala Federico,Kobak DmitryORCID,Bernabucci Matteo,Bernaerts Yves,Cadwell Cathryn René,Castro Jesus Ramon,Hartmanis Leonard,Jiang Xiaolong,Laturnus SophieORCID,Miranda Elanine,Mulherkar Shalaka,Tan Zheng Huan,Yao Zizhen,Zeng Hongkui,Sandberg RickardORCID,Berens Philipp,Tolias Andreas Savas

Abstract

Cortical neurons exhibit astounding diversity in gene expression as well as in morphological and electrophysiological properties. Most existing neural taxonomies are based on either transcriptomic or morpho-electric criteria, as it has been technically challenging to study both aspects of neuronal diversity in the same set of cells. Here we used Patch-seq to combine patch-clamp recording, biocytin staining, and single-cell RNA sequencing of over 1300 neurons in adult mouse motor cortex, providing a comprehensive morpho-electric annotation of almost all transcriptomically defined neural cell types. We found that, although broad families of transcriptomic types (Vip, Pvalb, Sst, etc.) had distinct and essentially non-overlapping morpho-electric phenotypes, individual transcriptomic types within the same family were not well-separated in the morpho-electric space. Instead, there was a continuum of variability in morphology and electrophysiology, with neighbouring transcriptomic cell types showing similar morpho-electric features, often without clear boundaries between them. Our results suggest that neural types in the neocortex do not always form discrete entities. Instead, neurons follow a hierarchy consisting of distinct non-overlapping branches at the level of families, but can form continuous and correlated transcriptomic and morpho-electrical landscapes within families.

Publisher

Cold Spring Harbor Laboratory

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