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Related Concept Videos

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Many fundamental cell functions such as muscle contraction and nerve transmission rely on the electrical signals produced by the movement of positively and negatively charged ions across the cell membrane. One competent method to record current flowing across the whole cell or single ion channel is the patch-clamp technique.
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Combining Whole-Cell Patch-Clamp Recordings with Single-Cell RNA Sequencing.

Kashif Mahfooz1, Tommas J Ellender2

  • 1Department of Pharmacology, University of Oxford, Oxford, UK.

Methods in Molecular Biology (Clifton, N.J.)
|October 29, 2020
PubMed
Summary

This study details a method to combine whole-cell patch-clamp recordings with single-cell RNA sequencing. This technique allows researchers to analyze both the electrical properties and gene expression of individual neurons.

Keywords:
Brain sliceGene expressionIn vitro ElectrophysiologyPatch clampSingle-cell RNA sequencing

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Area of Science:

  • Neuroscience
  • Molecular Biology
  • Electrophysiology

Background:

  • Understanding brain function requires characterizing individual neurons.
  • Whole-cell patch-clamp recordings reveal neuronal electrical properties and connectivity.
  • Integrating electrophysiology with transcriptomics is a recent technological advance.

Purpose of the Study:

  • To describe a method for combining whole-cell patch-clamp recordings with single-cell RNA sequencing.
  • To enable simultaneous analysis of neuronal electrical activity and gene expression.

Main Methods:

  • Performing whole-cell patch-clamp recordings on neurons in brain slices.
  • Extracting cytoplasm from recorded neurons.
  • Preparing extracted cytoplasm for single-cell RNA sequencing (scRNA-seq).

Main Results:

  • A detailed protocol for the combined technique is provided.
  • The method yields cytoplasm suitable for scRNA-seq analysis.
  • Enables linking electrophysiological properties to transcriptional profiles.

Conclusions:

  • This integrated approach advances the study of neuronal function.
  • It provides a powerful tool for understanding neural circuits at a single-cell level.
  • Facilitates discovery in systems neuroscience and neurobiology.