Amanda Gary

TL;DR: A single-cell characterization pipeline is established using standardized patch-clamp recordings in brain slices and biocytin-based neuronal reconstructions to establish a morpho-electrical taxonomy of cell types for the mouse visual cortex via unsupervised clustering analysis of multiple quantitative features.

TL;DR: 28 met- types are defined that have congruent morphological, electrophysiological, and transcriptomic properties and robust mutual predictability, and layer-specific axon innervation pattern is identified as a defining feature distinguishing different met-types.

TL;DR: In this article, a robust platform combining patch clamp recording, biocytin staining and single-cell RNA-sequencing (Patch-seq) was developed to examine neurosurgically resected human tissues.

TL;DR: The morphological and physiological properties of five transcriptomically defined human glutamatergic supragranular neuron types are characterized and the transcriptomic types in deep layer 3 that express high levels of non-phosphorylated heavy chain neurofilament protein that label long-range neurons known to be selectively depleted in Alzheimer’s disease are revealed.

TL;DR: This work characterized the transcriptomes and intrinsic physiological properties of over 3,700 GABAergic mouse visual cortical neurons and reconstructed the local morphologies of 350 of those neurons, finding that most transcriptomic types (t-types) occupy specific laminar positions within mouse visual cortex, and many of those t-types exhibit consistent electrophysiological and morphological features.