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Related Experiment Video

Updated: Nov 23, 2025

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Protocol for Patch-Seq of Small Interneurons.

Marcela Lipovsek1, Lorcan Browne1, Matthew S Grubb1

  • 1Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.

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|December 30, 2020
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Summary
This summary is machine-generated.

This study details a Patch-seq protocol for small interneurons, enabling simultaneous electrophysiology and gene expression analysis. The method facilitates multi-modal interrogation of these vital brain cells.

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Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genetics

Background:

  • Patch-seq combines electrophysiological recordings with gene expression analysis from single neurons.
  • Small interneurons play critical roles in neural circuit function but are challenging to study.
  • Existing Patch-seq protocols may not be optimized for small interneuron isolation.

Purpose of the Study:

  • To develop and validate a detailed Patch-seq protocol specifically for small interneurons.
  • To enable simultaneous investigation of functional properties and gene expression in small interneurons.
  • To overcome technical challenges in transitioning from patch recordings to cell extraction for small interneurons.

Main Methods:

  • Detailed step-by-step Patch-seq protocol development.
  • Focus on optimizing cell extraction post-electrophysiology for small interneurons.
  • Troubleshooting common issues encountered during the Patch-seq process for this cell type.

Main Results:

  • Successful adaptation of Patch-seq for small interneuron isolation.
  • Demonstration of multi-modal interrogation capabilities (electrophysiology and gene expression).
  • Protocol provides a reliable method for studying transcriptional correlates of function in small interneurons.

Conclusions:

  • The developed Patch-seq protocol is effective for small interneurons.
  • This method advances the study of small interneuron function and gene expression.
  • Facilitates deeper understanding of neural circuit mechanisms involving small interneurons.