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Related Concept Videos

Exon Recombination02:32

Exon Recombination

The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
Exon shuffling follows “splice frame rules.” Each exon has three reading...
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Related Experiment Video

Updated: May 23, 2026

Characterizing Exon Skipping Efficiency in DMD Patient Samples in Clinical Trials of Antisense Oligonucleotides
05:16

Characterizing Exon Skipping Efficiency in DMD Patient Samples in Clinical Trials of Antisense Oligonucleotides

Published on: May 7, 2020

DNA diagnostics and exon skipping.

Umasuthan Srirangalingam1, Shern L Chew

  • 1St Bartholomew's Hospital, London, UK. u.srirangalingam@qmul.ac.uk

Methods in Molecular Biology (Clifton, N.J.)
|March 29, 2012
PubMed
Summary
This summary is machine-generated.

Predicting exon skipping, a DNA mutation's effect on mRNA, requires advanced methods beyond DNA sequencing. Current RNA sequencing, bioinformatic modeling, and experimental studies have limitations, highlighting the need for integrated approaches.

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A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
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A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia

Published on: June 15, 2011

Related Experiment Videos

Last Updated: May 23, 2026

Characterizing Exon Skipping Efficiency in DMD Patient Samples in Clinical Trials of Antisense Oligonucleotides
05:16

Characterizing Exon Skipping Efficiency in DMD Patient Samples in Clinical Trials of Antisense Oligonucleotides

Published on: May 7, 2020

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
05:51

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia

Published on: June 15, 2011

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Nucleic acid sequencing is the primary method for DNA diagnostics in research and clinical settings.
  • While DNA sequencing identifies mutations, RNA sequencing is needed to confirm their impact on mRNA transcripts.
  • Current prediction methods for RNA splicing effects, like exon skipping, rely on experimental studies or bioinformatic modeling, each with inherent weaknesses.

Purpose of the Study:

  • To review current DNA diagnostic methods and the impact of next-generation sequencing.
  • To explore the challenges associated with RNA analysis.
  • To outline methods for predicting exon skipping from DNA sequences, including cis-acting elements and current prediction strategies.

Main Methods:

  • Review of current DNA sequencing and RNA sequencing techniques.
  • Exploration of the difficulties in working with RNA.
  • Analysis of cis-acting elements influencing RNA splicing.
  • Overview of existing methods for predicting exon skipping (RNA-based, experimental, bioinformatic).

Main Results:

  • DNA sequencing identifies mutations, but RNA sequencing is crucial for understanding their functional consequences.
  • RNA presents technical challenges for analysis.
  • Predicting exon skipping requires understanding complex splicing regulation.
  • Current prediction tools have limitations, indicating a need for improved integrated models.

Conclusions:

  • Accurate prediction of exon skipping and its impact on mRNA requires integrating multiple data types and analytical approaches.
  • Further development of comprehensive bioinformatic tools is necessary to overcome the limitations of current prediction methods.
  • Understanding RNA splicing is critical for advancing DNA diagnostics and interpreting mutation effects.