Integration of electrophysiological recordings with single-cell RNA-seq data identifies neuronal subtypes.

ABSTRACT: Traditionally, neuroscientists have defined the identity of neurons by the cells' location, morphology, connectivity and excitability. However, the direct relationship between these parameters and the molecular phenotypes has remained largely unexplored. Here, we present a method for obtaining full transcriptome data from single neocortical pyramidal cells and interneurons after whole-cell patch-clamp recordings in mouse brain slices. In our approach, termed Patch-seq, a patch-clamp stimulus protocol is followed by the aspiration of the entire somatic compartment into the recording pipette, reverse transcription of RNA including addition of unique molecular identifiers, cDNA amplification, Illumina library preparation and sequencing. We show that Patch-seq reveals a close link between elec

SUBMITTER: Fuzik J 

PROVIDER: S-EPMC4745137 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature