Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells
- PMID: 33186530
- PMCID: PMC7781065
- DOI: 10.1016/j.cell.2020.09.057
Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells
Abstract
Neurons are frequently classified into distinct types on the basis of structural, physiological, or genetic attributes. To better constrain the definition of neuronal cell types, we characterized the transcriptomes and intrinsic physiological properties of over 4,200 mouse visual cortical GABAergic interneurons and reconstructed the local morphologies of 517 of those neurons. We find that most transcriptomic types (t-types) occupy specific laminar positions within visual cortex, and, for most types, the cells mapping to a t-type exhibit consistent electrophysiological and morphological properties. These properties display both discrete and continuous variation among t-types. Through multimodal integrated analysis, we define 28 met-types that have congruent morphological, electrophysiological, and transcriptomic properties and robust mutual predictability. We identify layer-specific axon innervation pattern as a defining feature distinguishing different met-types. These met-types represent a unified definition of cortical GABAergic interneuron types, providing a systematic framework to capture existing knowledge and bridge future analyses across different modalities.
Keywords: GABAergic interneurons; Patch-seq; multimodal; neuronal cell type; parvalbumin; somatostatin; taxonomy; transcriptomics; visual cortex.
Copyright © 2020 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Interests The authors declare no competing interests.
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Comment in
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The Interneuron Class Struggle.Cell. 2020 Nov 12;183(4):845-847. doi: 10.1016/j.cell.2020.10.034. Cell. 2020. PMID: 33186526
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Dissecting cellular diversity of cortical GABAergic cells across multiple modalities: A turning point in neuronal taxonomy.Fac Rev. 2022 May 11;11:13. doi: 10.12703/r-01-000009. eCollection 2022. Fac Rev. 2022. PMID: 35719130 Free PMC article.
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