Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

RNA Splicing01:32

RNA Splicing

60.7K
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...
60.7K
Alternative RNA Splicing02:18

Alternative RNA Splicing

25.2K
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...
25.2K
Alternative RNA Splicing02:18

Alternative RNA Splicing

5.2K
No description available
5.2K
RNA-seq03:21

RNA-seq

12.1K
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...
12.1K
Chromatin Structure and RNA Splicing02:41

Chromatin Structure and RNA Splicing

3.5K
No description available
3.5K
Pre-mRNA Processing: RNA Splicing01:36

Pre-mRNA Processing: RNA Splicing

7.0K
No description available
7.0K

You might also read

Related Articles

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

Sort by
Same author

Association of Salivary Micro Ribonucleic Acid Levels With the Severity of Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Children.

Pediatric discovery·2026
Same author

Optimization of a hybrid microplastic model method based on grad-CAM combined with convolutional neural networks.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Chemical derivatization of citrullinated peptides using methylglyoxal and sodium 3-mercaptopropanesulfonate (MG/MPS).

Analytical methods : advancing methods and applications·2026
Same author

Flame-retardant and anti-dripping polylactic acid via in situ reactive blending: Effect of a crosslinked urethane network on mechanical and combustion properties.

International journal of biological macromolecules·2026
Same author

Multi-marker UPLC-MS/MS detection of sesame, soybean, and peanut oil adulteration in camellia and olive oils: a high-sensitivity approach for food authenticity.

Food chemistry·2026
Same author

Unraveling salt-responsive genes in Suaeda salsa through genomic and transcriptomic profiling across salinity gradients.

BMC genomics·2026

Related Experiment Video

Updated: Feb 8, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

6.5K

A generalized dSpliceType framework to detect differential splicing and differential expression events using RNA-Seq.

Dongxiao Zhu, Nan Deng, Changxin Bai

    IEEE Transactions on Nanobioscience
    |February 14, 2015
    PubMed
    Summary

    This study introduces dSpliceType, a new framework for analyzing RNA-sequencing data to understand gene expression and splicing. It helps identify genes with significant expression or splicing changes, offering deeper biological insights.

    More Related Videos

    Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
    07:29

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

    Published on: May 16, 2020

    6.7K
    RNA-Seq Analysis of Differential Gene Expression in Electroporated Chick Embryonic Spinal Cord
    11:13

    RNA-Seq Analysis of Differential Gene Expression in Electroporated Chick Embryonic Spinal Cord

    Published on: November 1, 2014

    15.1K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
    08:35

    Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

    Published on: June 24, 2021

    6.5K
    Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
    07:29

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

    Published on: May 16, 2020

    6.7K
    RNA-Seq Analysis of Differential Gene Expression in Electroporated Chick Embryonic Spinal Cord
    11:13

    RNA-Seq Analysis of Differential Gene Expression in Electroporated Chick Embryonic Spinal Cord

    Published on: November 1, 2014

    15.1K

    Area of Science:

    • Transcriptomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Traditional transcriptome analysis often relies on differential gene expression, with limited understanding of underlying molecular mechanisms due to microarray technology.
    • RNA-sequencing (RNA-seq) offers greater resolution but requires advanced methods to dissect differential expression and splicing effects.

    Purpose of the Study:

    • To introduce a generalized dSpliceType framework for systematically investigating synergistic and antagonistic effects of differential splicing and differential expression using RNA-seq data.
    • To develop a multivariate statistical model within dSpliceType that leverages sequential read coverage signals and captures biological variability.

    Main Methods:

    • Application of the generalized dSpliceType framework to two public RNA-seq datasets comparing treatment and control conditions.
    • Utilizing a multivariate statistical model to analyze normalized base-wise read coverage signals and biological variability among replicates.
    • Comparison of dSpliceType with two existing methods for detecting five common types of differential splicing events.

    Main Results:

    • The generalized dSpliceType framework successfully detects and prioritizes genes that are differentially expressed and/or spliced.
    • The multivariate dSpliceType demonstrates a novel approach by utilizing sequential dependencies in read coverage and incorporating biological variability.
    • Comparative analysis validated dSpliceType's performance against other methods for differential splicing event detection.

    Conclusions:

    • The generalized dSpliceType framework provides a robust method for comprehensive transcriptome analysis, integrating differential expression and splicing.
    • The multivariate dSpliceType offers a statistically advanced approach to RNA-seq data analysis, enhancing the understanding of molecular mechanisms.
    • dSpliceType is a freely available, powerful tool for researchers studying gene regulation and splicing variations.