Patch-seq

Patch-seq integrates patch‑clamp electrophysiology, morphological imaging, and single‑cell RNA sequencing (scRNA‑seq) to characterize individual neurons across functional, structural, and transcriptomic dimensions.

Key Features:

• Multimodal integration: Combines electrophysiological recordings, detailed morphological imaging, and scRNA‑seq to produce linked multimodal profiles of single neurons.
• Optimized data collection (Allen Institute): Uses protocols refined at the Allen Institute to yield high‑quality data compatible with large‑scale dissociated cell transcriptomic datasets.
• Automated electrophysiology software: Employs specialized software for electrophysiological data acquisition and analysis with automated processes and built‑in online quality control.
• Improved transcriptomic quality via nucleus extraction: Extraction of the nucleus after recording enhances transcriptomic data quality for more accurate genetic profiling.
• Morphological integrity: Emphasizes maintaining membrane integrity during nuclear extraction to preserve accurate morphological characterization.

Scientific Applications:

• Neuronal diversity and function: Enables detailed studies of neuronal diversity and function across mammalian species.
• Cell typing and classification: Supports cell typing and classification based on integrated electrophysiology, morphology, and transcriptomics.
• Comparative transcriptomic analyses: Facilitates comparison and integration with large‑scale public dissociated cell transcriptomic datasets from the Allen Institute.

Methodology:

Automated electrophysiological data acquisition and analysis with online quality control; optimized patch‑clamp recordings; morphological imaging with membrane integrity maintained during nucleus extraction; single‑cell RNA sequencing (scRNA‑seq) of extracted nuclei; and integration with large‑scale dissociated‑cell transcriptomic datasets.