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

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-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

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

Phase 3 Trial of Oral Infigratinib in Children with Achondroplasia.

The New England journal of medicine·2026

Same author

Xiao-Jie-An Capsule Attenuates Oestrogen- and Progestogen-Induced Mammary Gland Hyperplasia by Modulating Sex Hormone Levels and Reducing Inflammatory Response.

Basic & clinical pharmacology & toxicology·2026

Same author

Reduction in estimated glomerular filtration rate observed with doravirine is caused by inhibition of organic cation transporter 2.

Drug metabolism and disposition: the biological fate of chemicals·2026

Same author

Programmable artificial RNA condensates in mammalian cells.

Nature nanotechnology·2026

Same author

Efgartigimod as a treatment for adults with primary immune thrombocytopenia: a plain language summary of the ADVANCE IV study.

Therapeutic advances in hematology·2026

Same author

Targeted long-read RNA sequencing for rare disease diagnosis and variant interpretation.

Science advances·2026

Same journal

RNAbpFlow: base pair-augmented SE(3) flow matching for conditional RNA 3D structure generation.

Nature methods·2026

Same journal

Spatio-DARLIN enables robust and efficient in situ lineage tracing in mice at single-cell resolution.

Nature methods·2026

Same journal

EasyGrid: a versatile platform for automated cryo-EM sample preparation and quality control.

Nature methods·2026

Same journal

Cloud-based microscope enables live neuroimaging for 24 h and beyond with worldwide access.

Nature methods·2026

Same journal

Deep molecular profiling in three dimensions.

Nature methods·2026

Same journal

3D pathology-guided microdissection.

Nature methods·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 27, 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

Deep-learning augmented RNA-seq analysis of transcript splicing.

Zijun Zhang¹, Zhicheng Pan¹, Yi Ying²

¹Bioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA, USA.

|March 30, 2019

Summary

This summary is machine-generated.

Researchers can now analyze alternative splicing with less data using DARTS. This computational framework combines deep learning with RNA sequencing evidence for accurate differential splicing analysis, even with modest sequencing coverage.

More Related Videos

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

Published on: February 13, 2013

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

Published on: May 16, 2020

Related Experiment Videos

Last Updated: Jan 27, 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

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

Published on: February 13, 2013

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

Published on: May 16, 2020

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Alternative splicing analysis using RNA sequencing (RNA-seq) typically requires high sequencing coverage.
Limited sequencing depth can hinder accurate detection of differential alternative splicing events.
Existing methods face challenges in robustly characterizing splicing variations with modest RNA-seq datasets.

Purpose of the Study:

To introduce DARTS, a novel computational framework for inferring differential alternative splicing.
To enable robust alternative splicing analysis from RNA-seq data with modest coverage.
To leverage deep learning and empirical evidence for improved splicing characterization.

Main Methods:

Development of DARTS, a computational framework integrating deep learning predictions and RNA-seq data.
Utilizing a deep learning model trained on public RNA-seq big data to build a knowledge base of splicing regulation.
Applying DARTS to infer differential alternative splicing between biological samples.

Main Results:

DARTS effectively infers differential alternative splicing.
The framework enhances the characterization of alternative splicing from RNA-seq datasets with modest coverage.
DARTS provides a knowledge base of splicing regulation through deep learning.

Conclusions:

DARTS overcomes the limitation of high sequencing coverage in RNA-seq analysis for alternative splicing.
Researchers can now better characterize alternative splicing with limited RNA-seq data.
The integration of deep learning and empirical evidence offers a powerful approach for splicing analysis.