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Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

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Single-neuron RNA-Seq: technical feasibility and reproducibility.

Shenfeng Qiu¹, Shujun Luo, Oleg Evgrafov

¹Zilkha Neurogenetic Institute, University of Southern California Los Angeles, CA, USA.

Frontiers in Genetics

|August 31, 2012

Summary

This summary is machine-generated.

Researchers developed single-neuron RNA-sequencing to analyze gene expression in individual brain cells. This method reveals significant gene expression differences even in morphologically identical neurons, highlighting neuronal heterogeneity.

Keywords:

RNA-Seq cell culture electrophysiology gene expression neuron transcriptome

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Last Updated: May 19, 2026

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Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing

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Published on: October 12, 2018

Area of Science:

Neuroscience
Genomics
Molecular Biology

Background:

Understanding neuronal diversity is crucial for deciphering brain function.
Previous single-neuron transcriptome analysis relied on gene expression microarrays.
High-throughput sequencing offers a more comprehensive approach to transcriptomics.

Purpose of the Study:

To develop and validate a method for single-neuron RNA sequencing (RNA-Seq).
To investigate gene expression patterns in individual cultured and in situ neurons.
To assess the heterogeneity of gene expression among morphologically similar neurons.

Main Methods:

Single-neuron RNA-Seq was performed following electrophysiology recording.
Total RNA was extracted from individual neurons using a fine glass electrode.
Complementary DNA (cDNA) libraries were constructed and subjected to high-throughput sequencing.

Main Results:

The study successfully applied single-neuron RNA-Seq to cultured mouse hippocampal neurons and in situ neocortical neurons.
Average gene expression correlation was 0.51 for cultured neurons versus 0.25 for in situ cortical neurons.
Data indicate greater gene expression heterogeneity in cortical neurons compared to cultured neurons.

Conclusions:

Single-neuron RNA-Seq is technically feasible and reproducible for transcriptome analysis.
Morphologically identical neurons, even within the same brain region, exhibit distinct gene expression profiles.
The findings underscore the significant molecular heterogeneity of individual neurons in the brain.