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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-seq03:21

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 microarray-based...
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...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Updated: May 22, 2026

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

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Detection and quantification of alternative splicing variants using RNA-seq.

Douglas W Bryant1, Henry D Priest, Todd C Mockler

  • 1The Donald Danforth Plant Science Center, St. Louis, MO, USA.

Methods in Molecular Biology (Clifton, N.J.)
|May 17, 2012
PubMed
Summary

Next-generation sequencing, including RNA sequencing (RNA-seq), enables genome-wide studies of alternative pre-mRNA splicing. Sophisticated computational tools are essential for analyzing the massive datasets and discovering transcript variants.

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Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay

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Last Updated: May 22, 2026

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

Published on: December 9, 2016

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

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Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay
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Quantitative Analysis of Alternative Pre-mRNA Splicing in Mouse Brain Sections Using RNA In Situ Hybridization Assay

Published on: August 26, 2018

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Next-generation sequencing technologies have revolutionized the study of gene expression.
  • Alternative pre-mRNA splicing is a key mechanism for increasing proteomic diversity.
  • RNA sequencing (RNA-seq) provides a comprehensive view of expressed RNA.

Purpose of the Study:

  • To review methods for discovering, detecting, and quantifying alternatively spliced transcript variants.
  • To highlight the computational challenges and tool development in RNA-seq data analysis.
  • To provide an overview of RNA sequencing for genome-wide splicing studies.

Main Methods:

  • Genome-wide analysis of alternative pre-mRNA splicing using RNA sequencing.
  • Development of sophisticated computational approaches and bioinformatic tools.
  • Empirical determination, characterization, and quantification of expressed RNAs.

Main Results:

  • RNA sequencing (RNA-seq) demonstrates significant power for driving biological discoveries.
  • The analysis of massive RNA-seq datasets presents novel computational challenges.
  • Sophisticated bioinformatic tools are necessary for effective data analysis and interpretation.

Conclusions:

  • RNA sequencing is a powerful tool for studying alternative splicing at a genome-wide scale.
  • Advancements in computational methods and bioinformatic tools are crucial for RNA-seq data analysis.
  • The field of RNA sequencing and its applications are rapidly evolving.