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Updated: Jun 15, 2026
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Rapid In Situ Hybridization using Oligonucleotide Probes on Paraformaldehyde-prefixed Brain of Rats with Serotonin Syndrome
Published on: September 23, 2015
High-throughput multiplexed transcript analysis yields enhanced resolution of 5-hydroxytryptamine 2C receptor mRNA
Michael V Morabito1, Randi J Ulbricht, Richard T O'Neil
1Department of Pharmacology, Vanderbilt University School of Medicine, 465 21st Avenue South, Nashville, TN 37232-8548, USA.
Molecular Pharmacology
|February 26, 2010
Summary
A new high-throughput method significantly improves the accuracy of quantifying RNA editing patterns, analyzing over 800,000 cDNAs per sample. This advancement enables deeper insights into adenosine-to-inosine editing, particularly for the serotonin 2C receptor transcript.
Area of Science:
- Molecular Biology
- Genetics
- Neuroscience
Background:
- RNA editing, specifically adenosine-to-inosine editing, is a crucial post-transcriptional modification.
- Existing methods like direct sequencing and pyrosequencing have limitations, leading to sampling errors due to small clone numbers.
- Accurate quantification of RNA editing is essential for understanding its biological roles.
Purpose of the Study:
- To develop and validate a novel, high-throughput method for accurately quantifying RNA editing patterns.
- To overcome the limitations of current methodologies in terms of sample size and accuracy.
- To investigate RNA editing variations in the serotonin 2C receptor (5-hydroxytryptamine(2C); 5HT(2C)) transcript.
Main Methods:
- Developed a high-throughput multiplexed transcript analysis technique.
- Applied the method to quantify RNA editing in the 5HT(2C) receptor transcript, analyzing an average of over 800,000 individual cDNAs per sample.
- Quantified the expression of twenty 5HT(2C) isoforms with high accuracy.
Main Results:
- Achieved significantly increased accuracy and sensitivity in RNA editing quantification.
- Identified previously unobserved changes in 5HT(2C) editing across different mouse strains and brain regions.
- Detected editing differences in alternatively spliced 5HT(2C) variants.
Conclusions:
- The developed method offers a novel and efficient strategy for large-scale RNA editing analysis.
- This approach enhances the understanding of RNA editing patterns in various biological contexts.
- Potential applications include studying disease states and responses to perturbations, elucidating the role of 5HT(2C) RNA editing in CNS function.
