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RNA-seq03:21

RNA-seq

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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Related Experiment Video

Updated: Sep 24, 2025

Characterizing RNA Modifications in Single Neurons Using Mass Spectrometry
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Characterizing RNA Modifications in Single Neurons Using Mass Spectrometry

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Characterizing RNA Modifications in Single Neurons Using Mass Spectrometry.

Kevin D Clark1, Stanislav S Rubakhin1, Jonathan V Sweedler2

  • 1Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign; Department of Chemistry, University of Illinois Urbana-Champaign.

Journal of Visualized Experiments : Jove
|May 9, 2022
PubMed
Summary
This summary is machine-generated.

Single-neuron RNA modification analysis by mass spectrometry (SNRMA-MS) enables the study of RNA modifications in individual neurons. This technique reveals heterogeneous epitranscriptomic profiles crucial for understanding neuronal function and learning.

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Area of Science:

  • Neuroscience
  • Molecular Biology
  • Biochemistry

Background:

  • Post-transcriptional modifications (PTMs) of RNA regulate translation in the central nervous system (CNS).
  • Neuronal RNA modifications are linked to learning and memory, but current methods analyze bulk tissue, missing individual neuron profiles.
  • Assessing unique PTMs in single neurons is crucial for understanding neural circuit function.

Purpose of the Study:

  • To describe a novel protocol, single-neuron RNA modification analysis by mass spectrometry (SNRMA-MS), for detecting and quantifying modified ribonucleosides in single neurons.
  • To validate SNRMA-MS using identified neurons from Aplysia californica.
  • To demonstrate the heterogeneous distribution of RNA modifications across individual neurons.

Main Methods:

  • Surgical isolation and enzymatic treatment of CNS ganglia to expose neuron cell bodies.
  • Manual single-neuron isolation using micropipette techniques.
  • RNA liberation, digestion, and subsequent identification and quantification of modified nucleosides via liquid chromatography-mass spectrometry.

Main Results:

  • SNRMA-MS successfully detects and quantifies numerous modified ribonucleosides in single neurons.
  • The protocol was validated using identified neurons from Aplysia californica.
  • Heterogeneous RNA modification patterns were observed across individual neurons within neuronal networks.

Conclusions:

  • SNRMA-MS provides a powerful tool for analyzing epitranscriptomic heterogeneity at the single-neuron level.
  • This method allows for the characterization of unique RNA modification profiles in individual neurons, advancing our understanding of neural circuits.
  • SNRMA-MS opens new avenues for studying the role of RNA modifications in neuronal function, learning, and memory.