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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...
Chromatin Structure and RNA Splicing02:41

Chromatin Structure and RNA Splicing

In eukaryotic cells, nascent mRNA transcripts need to undergo many post-transcriptional modifications to reach the cell cytoplasm and translate into functional proteins. For a long time, transcription and pre-mRNA processing were considered two independent events that occur sequentially in the cell. However, it has now been well established that transcription and pre-mRNA processing are two simultaneous processes that are precisely regulated inside the cell.
The chromatin structure, especially...

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Related Experiment Video

Updated: Jun 1, 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

Computational discovery of human coding and non-coding transcripts with conserved splice sites.

Dominic Rose1, Michael Hiller, Katharina Schutt

  • 1Bioinformatics Group, Department of Computer Science, University of Leipzig, Leipzig, Germany. dominic@bioinf.uni-leipzig.de

Bioinformatics (Oxford, England)
|May 31, 2011
PubMed
Summary
This summary is machine-generated.

We developed a new computational method to identify long non-coding RNAs (lncRNAs) using splice site evolution. This approach discovers novel, evolutionarily conserved human transcripts, enhancing the human transcript catalog.

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A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
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A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

Published on: September 15, 2021

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Last Updated: Jun 1, 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

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
08:53

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

Published on: September 15, 2021

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Long non-coding RNAs (lncRNAs) are RNA molecules that do not encode proteins and are challenging to identify computationally due to low sequence conservation and lack of conserved secondary structures.
  • Existing methods struggle to predict lncRNAs, particularly those with unique structural features or evolutionary histories.

Purpose of the Study:

  • To develop and implement a novel computational approach for predicting spliced long non-coding RNAs (lncRNAs) in vertebrate genomes.
  • To identify previously undiscovered non-coding exons and multi-exon transcripts, particularly in human intergenic regions.

Main Methods:

  • The approach combines comparative genomics with machine learning, focusing on detecting splice site evolution signatures in vertebrate whole genome alignments.
  • It involves predicting individual splice sites, assembling compatible sites into exon candidates, and then predicting multi-exon transcripts using a phylogeny-aware scoring method.
  • Transcriptome sequencing data and experimental validation were used to assess the accuracy and biological relevance of the predictions.

Main Results:

  • The method accurately predicts individual splice sites and identifies novel non-coding exons and partial transcripts, many lacking conserved secondary structures.
  • Tissue-specific expression patterns were observed for predicted exons, and transcriptome data supported additional predictions.
  • The study identified 336 novel multi-exon transcript predictions from human intergenic regions, including the experimental validation of one such gene.

Conclusions:

  • The developed approach effectively identifies novel, evolutionarily conserved spliced lncRNAs and transcripts that are missed by current computational methods.
  • This work significantly contributes to the completion of the human transcript catalog by revealing previously unknown non-coding RNA elements.
  • The findings highlight the utility of comparative genomics and machine learning in uncovering the full spectrum of transcriptional output in complex genomes.