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Related Concept Videos

Exon Recombination02:32

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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. 
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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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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...
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Related Experiment Video

Updated: Jan 9, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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Bayesian reconstruction and differential testing of excised introns.

Marjan Hosseini1, Devin McConnell1, Derek Aguiar1,2

  • 1School of Computing, University of Connecticut, Storrs, CT 06269, United States.

Bioinformatics (Oxford, England)
|December 1, 2025
PubMed
Summary

We introduce BSEEJ, a novel Bayesian method for transcript reconstruction and differential splicing analysis. BSEEJ accurately identifies sequences of exon-exon junctions (SEEJs), improving transcript reconstruction and differential splicing detection.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Intron excision characterization is vital for understanding cellular complexity and disease.
  • Current transcript reconstruction methods struggle with incomplete annotations and heterogeneous expression.
  • Existing local splicing methods lack transcript-level information.

Purpose of the Study:

  • To address limitations in transcript reconstruction and differential splicing analysis.
  • To introduce a novel method that considers sequences of exon-exon junctions (SEEJs).
  • To develop a Bayesian model for computing SEEJs and characterizing their differential usage.

Main Methods:

  • Formalized a new transcript reconstruction problem using co-occurring SEEJs.
  • Developed a hierarchical Bayesian admixture model (BSEEJ) for computing SEEJs.
  • Employed a generalized linear model for differential SEEJ usage analysis.

Main Results:

  • BSEEJ demonstrated high F1 scores in transcript reconstruction tasks.
  • Achieved improved accuracy and sensitivity in differential splicing compared to existing methods on simulated data.
  • Validated BSEEJ on experimental data for transcript reconstruction, novelty, and functional analysis.

Conclusions:

  • BSEEJ offers a robust approach for transcript reconstruction and differential splicing analysis.
  • The method effectively utilizes SEEJs to capture transcript-level splicing information.
  • BSEEJ provides valuable insights into functional genomics and disease pathogenesis.