Transcriptomic correlates of neuron electrophysiological diversity
hdl:11272/10485
Version: 1 – Released: Thu May 04 11:20:08 PDT 2017
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TitleTranscriptomic correlates of neuron electrophysiological diversity
Study Global IDhdl:11272/10485
AuthorsTripathy, Shreejoy (University of British Columbia); Toker, Lilah (University of British Columbia); Li, Brenna (University of British Columbia); Crichlow, Cindy-Lee (University of British Columbia); Tebaykin, Dmitry (University of British Columbia); Mancarci, Ogan (University of British Columbia); Shreejoy Tripathy (University of British Columbia)
Production PlaceUniversity of British Columbia
Funding AgencyNeuroDevNet, CIHR, NSERC, NIH
Deposit DateMay 04, 2017
Original Dataverse
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Description

How neuronal diversity emerges from complex patterns of gene expression remains poorly understood. Here we present an approach to understand electrophysiological diversity through gene expression by integrating transcriptomics with intracellular electrophysiology. Using a brain-wide dataset of 34 neuron types, we identified 653 genes whose expression levels significantly correlated with variability in one or more of 11 electrophysiological parameters. The majority of these correlations were further consistent in an independent sample of 12 visual cortex cell types. Many associations reported here have the potential to provide new insights into how neurons generate functional diversity, and correlations of ion channel genes like Gabrd and Scn1a (Nav1.1) with resting potential and spiking frequency are consistent with known causal mechanisms. These results suggest that despite the complexity linking gene expression to electrophysiology, there are likely some general principles that govern how individual genes establish phenotypic diversity across very different cell types.

Topic ClassificationOpen (Open Access Tag)
Country/NationCanada
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Number of Files 5
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RestrictionsCreative Commons Licence
This work is licensed under a Creative Commons Attribution 4.0 International License.
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"Transcriptomic correlates of neuron electrophysiological diversity", hdl:11272/10485