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

Alternative RNA Splicing02:18

Alternative RNA Splicing

27.0K
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...
27.0K
Alternative RNA Splicing02:18

Alternative RNA Splicing

5.5K
5.5K
RNA Splicing01:32

RNA Splicing

61.5K
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...
61.5K
RNA Splicing01:32

RNA Splicing

20.3K
20.3K
Pre-mRNA Processing: RNA Splicing01:36

Pre-mRNA Processing: RNA Splicing

7.4K
7.4K
Pre-mRNA Processing02:01

Pre-mRNA Processing

29.9K
29.9K

You might also read

Related Articles

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

Sort by
Same author

At-RS31 orchestrates hierarchical cross-regulation of splicing factors and integrates alternative splicing with TOR-ABA pathways.

The New phytologist·2025
Same author

A barley pan-transcriptome reveals layers of genotype-dependent transcriptional complexity.

Nature genetics·2025
Same author

At-RS31 orchestrates hierarchical cross-regulation of splicing factors and integrates alternative splicing with TOR-ABA pathways.

bioRxiv : the preprint server for biology·2024
Same author

Structural variation in the pangenome of wild and domesticated barley.

Nature·2024
Same author

The cap-binding complex modulates ABA-responsive transcript splicing during germination in barley (Hordeum vulgare).

Scientific reports·2024
Same author

Fungal biodeterioration and preservation of cultural heritage, artwork, and historical artifacts: extremophily and adaptation.

Microbiology and molecular biology reviews : MMBR·2024

Related Experiment Video

Updated: Apr 5, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

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

Published on: December 9, 2016

14.5K

Lost in Translation: Pitfalls in Deciphering Plant Alternative Splicing Transcripts.

John W S Brown1, Craig G Simpson2, Yamile Marquez3

  • 1Plant Sciences Division, School of Life Sciences, University of Dundee, Invergowrie, Dundee DD2 5DA, Scotland, United Kingdom Cell and Molecular Sciences, The James Hutton Institute, Invergowrie, Dundee DD2 5DA, Scotland, United Kingdom j.w.s.brown@dundee.ac.uk.

The Plant Cell
|August 20, 2015
PubMed
Summary

Plant transcript annotation errors, especially with alternative splicing, can mislead research. Accurately predicting transcript fate is crucial for understanding protein production and plant gene function.

More Related Videos

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

6.6K
Using the E1A Minigene Tool to Study mRNA Splicing Changes
10:25

Using the E1A Minigene Tool to Study mRNA Splicing Changes

Published on: April 22, 2021

5.7K

Related Experiment Videos

Last Updated: Apr 5, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

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

Published on: December 9, 2016

14.5K
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

6.6K
Using the E1A Minigene Tool to Study mRNA Splicing Changes
10:25

Using the E1A Minigene Tool to Study mRNA Splicing Changes

Published on: April 22, 2021

5.7K

Area of Science:

  • Plant molecular biology
  • Transcriptomics
  • Bioinformatics

Background:

  • Incomplete and inaccurate transcript annotations in plant databases hinder accurate interpretation of RNA sequencing data.
  • Alternative splicing generates transcript isoforms with diverse functions, but their accurate annotation remains a challenge.
  • Misannotation of open reading frames and premature termination codons is a significant concern in plant transcript studies.

Purpose of the Study:

  • To highlight the impact of inaccurate transcript annotation on plant science research.
  • To emphasize the need for improved prediction of transcript isoform fate.
  • To discuss the implications of alternative splicing on protein production and transcript stability.

Main Methods:

  • Review of current challenges in plant transcript annotation.
  • Analysis of the consequences of misannotated open reading frames and premature termination codons.
  • Discussion of predictive approaches for transcript isoform fate.

Main Results:

  • Inaccurate annotations can lead to misinterpretation of gene expression and function.
  • Alternative splicing impacts protein diversity, but misannotation obscures this.
  • Predicting transcript fate (protein production vs. degradation) is essential for functional genomics.

Conclusions:

  • Accurate transcript annotation is vital for reliable plant research.
  • Improved methods are needed to predict the functional outcome of alternative splicing events.
  • Understanding transcript fate is key to deciphering plant proteomes and biological processes.