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Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq.

ABSTRACT: Despite the importance of the mammalian neocortex for complex cognitive processes, we still lack a comprehensive description of its cellular components. To improve the classification of neuronal cell types and the functional characterization of single neurons, we present Patch-seq, a method that combines whole-cell electrophysiological patch-clamp recordings, single-cell RNA-sequencing and morphological characterization. Following electrophysiological characterization, cell contents are aspirated through the patch-clamp pipette and prepared for RNA-sequencing. Using this approach, we generate electrophysiological and molecular profiles of 58 neocortical cells and show that gene expression patterns can be used to infer the morphological and physiological properties such as axonal arborization and action potential amplitude of individual neurons. Our results shed light on the molecular underpinnings of neuronal diversity and suggest that Patch-seq can facilitate the classification of cell types in the nervous system.

SUBMITTER: Cadwell CR

PROVIDER: S-EPMC4840019 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq.

Cadwell Cathryn R CR Palasantza Athanasia A Jiang Xiaolong X Berens Philipp P Deng Qiaolin Q Yilmaz Marlene M Reimer Jacob J Shen Shan S Bethge Matthias M Tolias Kimberley F KF Sandberg Rickard R Tolias Andreas S AS

Nature biotechnology 20151221 2

Despite the importance of the mammalian neocortex for complex cognitive processes, we still lack a comprehensive description of its cellular components. To improve the classification of neuronal cell types and the functional characterization of single neurons, we present Patch-seq, a method that combines whole-cell electrophysiological patch-clamp recordings, single-cell RNA-sequencing and morphological characterization. Following electrophysiological characterization, cell contents are aspirate ...[more]

PMID: 26689543

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Dataset Information

Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq.

Publications

Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq.

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