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February 21, 2026Biophysical Journal

BPS2026 – The probabilistic nature of RNA splicing

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Authors

GVGabriel D. VerleyNew York University Abu DhabiAGAlberto GandolfiNew York University Abu DhabiMMMazin MagzoubNew York University Abu Dhabi

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Implication

A stochastic model demonstrates the probabilistic nature of splicing, influencing transcript diversity in physiology and disease.

Key Points

  • Investigate the probabilistic mechanisms underlying RNA splicing and its implications for transcript diversity.
  • Develop a minimal stochastic model of RNA splicing
  • Analyze isoform distributions and AS events
  • Compare model predictions with GTEx transcriptome data
  • Evaluate robustness of full-length isoforms against splice site perturbations
  • Model reproduces features of transcriptome-wide isoform distributions
  • Exon skipping identified as a frequent AS event
  • Predictions align with tissue-specific splicing patterns
  • Model generates key features like exon definition spontaneously

Cite This Study

Verley et al. (2026) studied this question.

synapsesocial.com/papers/69990df65b97ab4c14ac2c34https://doi.org/10.1016/j.bpj.2025.11.1804
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  4. 4Alternative Splicing: Molecular Mechanisms, Biological Functions, Diseases, and Potential Therapeutic Targets2025 · 12 citations
  5. 5Uncovering the translatome impact of transcriptome induced diversity in eukaryotes: framework and innovative insights2024 · 1 citations