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Classification of electrophysiological and morphological neuron types in the mouse visual cortex
- Source :
- Nat Neurosci
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Understanding the diversity of cell types in the brain has been an enduring challenge and requires detailed characterization of individual neurons in multiple dimensions. To systematically profile morpho-electric properties of mammalian neurons, we established a single-cell characterization pipeline using standardized patch-clamp recordings in brain slices and biocytin-based neuronal reconstructions. We built a publicly accessible online database, the Allen Cell Types Database, to display these datasets. Intrinsic physiological properties were measured from 1,938 neurons from the adult laboratory mouse visual cortex, morphological properties were measured from 461 reconstructed neurons, and 452 neurons had both measurements available. Quantitative features were used to classify neurons into distinct types using unsupervised methods. We established a taxonomy of morphologically and electrophysiologically defined cell types for this region of the cortex, with 17 electrophysiological types, 38 morphological types and 46 morpho-electric types. There was good correspondence with previously defined transcriptomic cell types and subclasses using the same transgenic mouse lines.
- Subjects :
- 0301 basic medicine
Genetically modified mouse
Cell type
Patch-Clamp Techniques
Databases, Factual
Action Potentials
Datasets as Topic
Mice, Transgenic
Biology
Article
Neuron types
Mice
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Genes, Reporter
Biocytin
medicine
Animals
Cell shape
Cell Shape
Visual Cortex
Neurons
General Neuroscience
Laboratory mouse
Electrophysiology
030104 developmental biology
Visual cortex
medicine.anatomical_structure
chemistry
Transcriptome
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15461726 and 10976256
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Nature Neuroscience
- Accession number :
- edsair.doi.dedup.....1e51c6a86c36dcef44deb5b36ad8fc78