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Related Concept Videos

RNA Splicing01:32

RNA Splicing

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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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Alternative RNA Splicing02:18

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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.
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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.
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Updated: Mar 21, 2026

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
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SpliceHarmonization: an integrated method for identifying RNA splicing events in therapeutics for splicing

Yirui Chen1, Haotian Zhang1, Yu H Sun1

  • 1Genomics and Computational Biology, Biomarkers and Systems Biology, Biogen Inc., Cambridge, MA 02142, United States.

Bioinformatics (Oxford, England)
|March 20, 2026
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Summary

SpliceHarmonization integrates multiple tools to standardize splicing event detection, improving accuracy and reliability. This approach enhances transcriptome analysis by overcoming inconsistencies from individual methods.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Genomics

Background:

  • Eukaryotic splicing is a co-transcriptional process crucial for transcriptome diversity, generating cell-specific isoforms.
  • Splicing modulators offer new therapeutic strategies for previously undruggable genes.
  • Accurate identification and comparison of splicing events are essential but challenged by inconsistencies across existing tools.

Purpose of the Study:

  • To develop a comprehensive and integrated approach for robust splicing analysis.
  • To standardize and harmonize outputs from multiple splicing detection methods.
  • To improve the accuracy and reliability of identifying and annotating splicing events.

Main Methods:

  • Developed SpliceHarmonization, an integrated approach combining rMATS, LeafCutter, and MAJIQ.
  • Streamlined and standardized outputs from these three detection methods into a unified format.
  • Evaluated performance using diverse simulated datasets.

Main Results:

  • SpliceHarmonization improved splicing detection with event type annotation, outperforming individual methods.
  • Achieved accuracy exceeding 0.8 and recall up to 0.5, with an AUC increase of up to 10%.
  • Demonstrated high sensitivity in detecting low-abundance and complex splicing events, providing genomic coordinates and event type annotations.

Conclusions:

  • SpliceHarmonization provides a robust and reliable method for splicing analysis by integrating multiple tools.
  • The approach effectively mitigates method-specific discrepancies, enhancing the identification of diverse splicing events.
  • Offers standardized annotations for improved downstream analysis of transcriptome complexity.