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Related Concept Videos

Alternative RNA Splicing02:18

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 Splicing02:18

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...
RNA Splicing01:32

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 Splicing01:32

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...
Pre-mRNA Processing: RNA Splicing01:32

Pre-mRNA Processing: 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...
Pre-mRNA Processing02:01

Pre-mRNA Processing

In eukaryotic cells, transcripts made by RNA polymerase are modified and processed before exiting the nucleus. Unprocessed RNA is called precursor mRNA or pre-mRNA to distinguish it from mature mRNA.
Once about 20-40 ribonucleotides have been joined together by RNA polymerase, a group of enzymes adds a “cap” to the 5’ end of the growing transcript. In this process, a 5’ phosphate is replaced by modified guanosine that has a methyl group attached to it (7-Methyl guanosine). This 5’ cap helps the...

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Related Experiment Video

Updated: Jun 17, 2026

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

BIPASS: design of alternative splicing services.

Zoé Lacroix1, Christophe Legendre

  • 1Scientific Data Management Laboratory, Electrical Engineering, Arizona State University, Tempe AZ 85287-5706, USA. Zoe.Lacroix@asu.edu

International Journal of Computational Biology and Drug Design
|January 12, 2010
PubMed
Summary

This study analyzes services for alternative splicing research, highlighting data modeling challenges with the BioInformatics Pipeline for Alternative Splicing Services (BIPASS). It compares current services and suggests future directions for comprehensive bioinformatics support.

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Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
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Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells

Published on: April 26, 2017

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Last Updated: Jun 17, 2026

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

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
10:06

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells

Published on: April 26, 2017

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Genomics

Background:

  • Alternative splicing is a key mechanism in gene expression regulation.
  • Developing robust bioinformatics services is crucial for analyzing alternative splicing data.
  • Existing services may have limitations in addressing the full scope of alternative splicing research needs.

Purpose of the Study:

  • To analyze the motivations behind developing alternative splicing support services.
  • To discuss data modeling challenges in alternative splicing studies.
  • To compare existing services based on a defined set of functionalities.

Main Methods:

  • Analysis of service development motivations.
  • Discussion of data modeling issues using the BioInformatics Pipeline for Alternative Splicing Services (BIPASS) as an example.
  • Comparative analysis of existing alternative splicing services against a common functionality matrix.

Main Results:

  • Identified key factors driving the development of alternative splicing services.
  • Highlighted significant data modeling challenges.
  • Provided a comparative overview of current service capabilities and limitations.

Conclusions:

  • Future work is needed to enhance existing services and develop new ones.
  • A more complete suite of services is required to fully support alternative splicing studies.
  • Addressing data modeling and functional gaps will improve bioinformatics support for splicing research.