Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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

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...

Pre-mRNA Processing: RNA Splicing

Pre-mRNA Processing: RNA Splicing

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Selection of human hematopoietic stem cells bearing the intended functional edit by transient AND-gate reporters.

Nature biotechnology·2026

Same author

Iron overload damages mitochondria and induces metabolic rewiring of hematopoietic stem cells toward glycolysis.

Blood·2026

Same author

Development and characterization of a model of mucopolysaccharidosis type IVA for evaluating therapies targeting bone disease.

Disease models & mechanisms·2026

Same author

TIGIT disruption rescues the antitumor activity of low avidity TCR-engineered T cells by increasing TCR signal strength.

Nature communications·2026

Same author

Molecular and phenotypic blueprint of human hematopoiesis links proliferation stress to stem cell aging.

The Journal of experimental medicine·2025

Same author

Tweaking lentiviral vector design balances efficacy and safety in liver-directed gene therapy for familial hypercholesterolemia.

Molecular therapy : the journal of the American Society of Gene Therapy·2025

Same journal

Mosquito Species and Gender Identification System Based on Artificial Intelligence and Image Processing Methods.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

GMSA: A Graph Matching and Point Cloud Registration-Based Method for Spatial Transcriptomics Data Alignment.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

Investigations on Multiple Protein Scaffold Filling.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

Cell Type Prediction for Single-Cell RNA Sequencing Utilizing Unsupervised Domain Adaptation and Semi-Supervised Learning.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

PPIGAN: Prediction of Protein-Protein Interactions Using Generative Adversarial Networks.

Journal of computational biology : a journal of computational molecular cell biology·2026

Same journal

Deep Structure-Enhanced Cell Clustering Model for Single-Cell RNA Sequencing Data.

Journal of computational biology : a journal of computational molecular cell biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 6, 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

Modeling alternative splicing variants from RNA-Seq data with isoform graphs.

Stefano Beretta¹, Paola Bonizzoni, Gianluca Della Vedova

¹1 Dipartimento di Informatica Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca , Milan, Italy .

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology

|November 9, 2013

Summary

This summary is machine-generated.

This study introduces a new computational method for analyzing alternative splicing (AS) from next-generation sequencing (NGS) data without a reference genome. It defines a splicing graph to represent gene structures and efficiently computes it from NGS data.

More Related Videos

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay

Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay

Published on: August 26, 2018

Related Experiment Videos

Last Updated: May 6, 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

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay

Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay

Published on: August 26, 2018

Area of Science:

Computational Biology
Bioinformatics
Genomics

Background:

Next-generation sequencing (NGS) demands advanced methods for alternative splicing (AS) analysis.
Current AS analysis tools primarily rely on reference genomes, leaving reference-free methods underdeveloped.
Existing de novo transcriptome assembly tools have limitations for biological investigations.

Purpose of the Study:

To address the lack of theoretical investigation into computational limits of transcriptome analysis without a reference genome.
To develop methods for computing gene structures with AS events without relying on a reference genome.
To define and computationally build splicing graphs compatible with NGS data and isoform graphs.

Main Methods:

Definition of a compact gene structure representation called a splicing graph, based on the isoform graph concept.
Investigation of the computational problem of constructing a splicing graph compatible with NGS data and isomorphic to the isoform graph.
Development of an efficient algorithmic approach for computing the representative splicing graph.

Main Results:

Characterization of conditions under which a single representative splicing graph is compatible with NGS data.
Proposal of an efficient algorithm for computing this unique splicing graph.
Laying the groundwork for reference-free AS analysis.

Conclusions:

The study provides a novel computational framework for AS analysis from NGS data in the absence of a reliable reference genome.
The developed splicing graph approach and algorithm offer an efficient solution for reconstructing gene structures with AS.
This work advances the field of bioinformatics by enabling more robust transcriptome analysis in diverse genomic contexts.