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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

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...

Chromatin Structure and RNA Splicing

Chromatin Structure and RNA Splicing

Pre-mRNA Processing: RNA Splicing

Pre-mRNA Processing: RNA Splicing

Comparing Copy Number Variations and SNPs

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

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Related Experiment Video

Updated: Jan 9, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Comprehensive Overview of Computational Tools for Alternative Splicing Analysis.

Hieu Tran¹, Nirad Banskota¹, Myriam Gorospe²

¹Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.

Wiley Interdisciplinary Reviews. RNA

|December 1, 2025

Summary

This summary is machine-generated.

Alternative splicing (AS) generates protein diversity crucial for cellular functions. This review compares key RNA-sequencing tools for analyzing AS events in molecular biology research.

Keywords:

computational analysis of splicing short‐ and long‐read sequencing transcriptomic analysis

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Using the E1A Minigene Tool to Study mRNA Splicing Changes

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Published on: April 22, 2021

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Alternative splicing (AS) is a key mechanism for generating transcriptomic and proteomic diversity.
AS influences cellular differentiation, tissue specificity, and adaptation to environmental stimuli.
Understanding AS is vital for comprehending biological complexity and disease mechanisms.

Purpose of the Study:

To review and compare prominent computational tools for alternative splicing analysis.
To discuss the strengths, limitations, and practical usability of various AS detection tools.
To provide guidance on selecting appropriate AS analysis tools based on biological context and research needs.

Main Methods:

Literature review of alternative splicing analysis tools.
Comparative analysis of rMATS, SUPPA2, LeafCutter, MISO, DEXSeq, MAJIQ, StringTie, and Cufflinks.
Evaluation of tool functionalities, computational requirements, and ease of use.

Main Results:

Each tool possesses unique strengths and limitations for detecting specific alternative splicing events.
Tool selection depends on factors like data type, research question, and available computational resources.
A comprehensive understanding of these tools aids researchers in effective AS analysis.

Conclusions:

The choice of AS analysis tool significantly impacts research outcomes.
Informed selection of tools is critical for accurate interpretation of alternative splicing data.
This review facilitates the optimal application of AS analysis tools in molecular biology and disease research.