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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

Alternative RNA Splicing

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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.
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...
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Alternative RNA Splicing02:18

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Related Experiment Video

Updated: Jan 15, 2026

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
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A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

Published on: September 15, 2021

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Decoding Spliceosome Dynamics through Computation and Experiment.

Pavlína Pokorná1, Jana Aupič1, Sebastian M Fica2

  • 1CNR-Istituto Officina dei Materiali (IOM) at International School for Advanced Studies (SISSA/ISAS), via Bonomea 265, 34136 Trieste, Italy.

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Summary

The spliceosome, a dynamic RNA-protein machine, orchestrates RNA splicing through complex remodeling. Integrating experimental and computational methods enhances our understanding of its function and aids in developing new therapies.

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Area of Science:

  • Molecular Biology
  • Biochemistry
  • Structural Biology

Background:

  • The spliceosome is a dynamic RNA-protein machine responsible for RNA splicing.
  • Its function relies on large-scale structural and compositional remodeling during the splicing cycle.
  • Cryo-EM provides structural snapshots, but lacks dynamic detail.

Purpose of the Study:

  • To review the current understanding of spliceosome function by integrating experimental and computational approaches.
  • To highlight the role of splicing factors in spliceosome dynamics.
  • To discuss computational challenges and future directions for accurate simulations.

Main Methods:

  • Review of existing literature integrating experimental data (cryo-EM) with computational simulations (all-atom simulations).
  • Focus on computational approaches to capture the dynamic nature of the spliceosome.
  • Discussion of challenges in large-scale simulations.

Main Results:

  • All-atom simulations complement cryo-EM by capturing spliceosome dynamics at a finer scale.
  • Splicing factors are key mediators of the spliceosome's dynamic behavior, crucial for cycle progression.
  • A synergistic interplay between experiment and computation is vital for high-accuracy structural ensembles.

Conclusions:

  • Integrative approaches are essential for a comprehensive understanding of spliceosome mechanisms.
  • Such approaches promise advancements in splicing-targeted therapeutics and gene modulation technologies.
  • Addressing splicing dysregulation in diseases requires bridging computational and experimental data.