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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...

RNA Splicing

RNA Splicing

RNA-seq

RNA-seq

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...

Chromatin Structure and RNA Splicing

Chromatin Structure and RNA Splicing

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Related Experiment Video

Updated: Apr 23, 2026

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

Published on: September 15, 2021

Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.

Xiangmin Tan^1,2, Ping Wang^1,2, Yang Li²

¹Shandong Key Lab of Complex Medical Intelligence and Aging, Shandong Medical and Pharmaceutical University, Yantai 264003, Shandong, P. R. China.

Computational and Structural Biotechnology Journal

|April 22, 2026

Summary

This summary is machine-generated.

Long-read RNA sequencing (lrRNA-seq) overcomes short-read limitations for comprehensive transcript analysis. This technology precisely maps gene structures and splicing, advancing disease diagnostics and precision medicine.

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Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells

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Published on: April 26, 2017

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Short-read RNA sequencing faces challenges in analyzing full-length RNA due to fragmented reads.
Accurate characterization of alternative splicing, exon structures, and transcription start/termination sites is difficult with short reads.

Purpose of the Study:

To provide an overview of long-read RNA sequencing (lrRNA-seq) principles, innovations, and advantages.
To assess methodological aspects and applications of lrRNA-seq in transcriptomic research and disease studies.

Main Methods:

Review of long-read RNA sequencing (lrRNA-seq) technology and its working principles.
Systematic assessment of methods for isoform analysis, quantification, error correction, and algorithm development for lrRNA-seq data.

Main Results:

lrRNA-seq enables end-to-end transcript sequencing, offering comprehensive insights into transcriptomic complexity.
It precisely determines exon-intron structures, alternative splicing, transcription initiation/termination sites, and noncanonical RNA processing events.
Applications in disease research reveal splicing dysregulation, pathogenic isoforms, and RNA-mediated mechanisms.

Conclusions:

lrRNA-seq is a transformative technology for detailed transcriptome analysis, surpassing short-read limitations.
Integration with single-cell and spatial transcriptomics allows characterization of splicing complexity across cellular and tissue microenvironments.
lrRNA-seq holds significant potential for advancing disease diagnostics and precision medicine.