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Pre-mRNA Processing: RNA Splicing

Pre-mRNA Processing: RNA Splicing

RNA Splicing

RNA Splicing

Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...

RNA Splicing

RNA Splicing

Alternative RNA Splicing

Alternative RNA Splicing

Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...

Alternative RNA Splicing

Alternative RNA Splicing

Pre-mRNA Processing

Pre-mRNA Processing

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Related Experiment Video

Updated: May 1, 2026

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

Published on: September 15, 2021

Validation of predicted mRNA splicing mutations using high-throughput transcriptome data.

Coby Viner¹, Stephanie N Dorman², Ben C Shirley³

¹Department of Computer Science, University of Western Ontario, London, Ontario, N6A 5B7, Canada.

|April 22, 2014

Summary

This summary is machine-generated.

Veridical is a new computational tool that automatically validates DNA sequencing variants affecting mRNA splicing. It compares RNA read counts in mutant versus non-mutant tissues, improving variant interpretation in genomics.

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Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Interpreting genetic variants from whole-genome or exome sequencing is challenging, as only a small fraction are pathogenic.
Manual validation of splicing variants using transcriptome data is infeasible for large-scale studies.
Abnormal splicing patterns include exon skipping, cryptic splice site usage, and intron retention.

Purpose of the Study:

To present Veridical, an in silico method for automated validation of DNA sequencing variants that impact mRNA splicing.
To enable efficient and statistically sound assessment of splicing alterations in large genomic datasets.

Main Methods:

Veridical employs a computational approach to analyze RNA sequencing data.
It performs statistically valid comparisons of normalized read counts for aberrant RNA species.
The method contrasts these counts between mutant and non-mutant tissues.

Main Results:

Veridical automates the detection and validation of splicing variants.
The tool leverages large control datasets to corroborate variant effects.
It provides a scalable solution for analyzing splicing alterations.

Conclusions:

Veridical offers an efficient in silico solution for validating splicing variants identified in genomic studies.
This method enhances the interpretation of genetic variants by confirming their functional impact on mRNA splicing.
The approach is crucial for advancing precision medicine and understanding genetic diseases.