Multimodal Characterization of Individual Neurons
Neurons in mouse primary visual cortex
The majority of cells in this dataset are GABAergic interneurons from the primary visual cortex (VISp). These data facilitate characterization of the morphological and/or intrinsic electrophysiological properties of neurons belonging to a given transcriptomically-defined type of GABAergic interneuron. These data also enable one to examine the degree to which distinct transcriptomically-defined types of GABAergic interneurons exhibit morphological and/or intrinsic electrophysiological differences.
The dataset also includes a small number of glutamatergic neurons from layer 2/3 of the mouse VISp. These data also facilitate comparison with L2/3 pyramidal neurons from human cortex; see below.
Revision Notes:
1. 05/28/21: Updated Data File Manifest with updated directory paths. No changes to files themselves.
2. 09/21/21: Updated Data file Manifest with updated directory paths at DANDI archive. No changes to files themselves.
Glutamatergic neuron types in layer 2 and layer 3 of the human cortex
We characterized the morphological and physiological properties of five transcriptomically-defined human glutamatergic supragranular neuron types. Three of these types have properties that are specialized as compared to the more homogeneous properties of transcriptomically defined homologous mouse neuron types. The two remaining supragranular neuron types, located exclusively in deep layer 3, do not have clear mouse homologues in supragranular cortex but are transcriptionally most similar to deep layer mouse intratelencephalic-projecting neuron types.
Multimodal analysis of human GABAergic interneurons
Viral labeling of GABAergic neurons in human brain slices with Patch-seq yields a functional annotation of human interneuron subclasses and types.
Multimodal analysis of human L1 GABAergic interneurons
Linking cellular transcriptomic identity to intrinsic morphoelectric features, we describe innovations in human neocortical layer 1 interneurons.
PATCH-SEQ PROTOCOL FOR MULTIMODAL CHARACTERIZATION OF INDIVIDUAL NEURONS
We have optimized the Patch-seq technique to efficiently collect high-quality electrophysiological, morphological and transcriptomic data. Here we describe this optimized technique as well as the publicly available tools that can be used to generate comparable data.
Multimodal analysis of human layer 5 pyramidal neurons
We used Patch-seq to characterize the defining morphological and physiological features of layer 5 pyramidal neurons in human middle temporal gyrus.
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