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Related Concept Videos

RNA Splicing01:32

RNA Splicing

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...
RNA Splicing01:32

RNA Splicing

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...
Pre-mRNA Processing: RNA Splicing01:32

Pre-mRNA Processing: RNA Splicing

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...
Alternative RNA Splicing02:18

Alternative RNA Splicing

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...
Alternative RNA Splicing02:18

Alternative RNA Splicing

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...
Chromatin Structure and RNA Splicing02:41

Chromatin Structure and RNA Splicing

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.
The chromatin structure, especially...

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Related Experiment Video

Updated: May 31, 2026

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
08:53

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

Published on: September 15, 2021

Generative modeling for RNA splicing prediction and design.

Di Wu1, Natalie Maus1, Anupama Jha2

  • 1Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, United States.

Elife
|May 29, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed TrASPr+BOS, an AI tool using Bayesian Optimization, to predict and design RNA for tissue-specific alternative splicing (AS). This method enhances understanding of gene regulation and aids therapeutic design by improving AS prediction accuracy.

Keywords:
Bayesian optimizationLSV-seqRNA splicingcomputational biologydeep generative modelshumansequence designsplicing codessystems biology

More Related Videos

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
10:06

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells

Published on: April 26, 2017

Related Experiment Videos

Last Updated: May 31, 2026

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
08:53

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency

Published on: September 15, 2021

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
10:06

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells

Published on: April 26, 2017

Area of Science:

  • Molecular Biology
  • Computational Biology
  • Genomics

Background:

  • Alternative splicing (AS) is vital for tissue-specific gene regulation.
  • Splicing defects are linked to various diseases.
  • Predicting and manipulating AS offers therapeutic potential.

Purpose of the Study:

  • To introduce TrASPr+BOS, a novel AI model for predicting and designing RNA with specific tissue-based splicing outcomes.
  • To leverage generative AI and Bayesian Optimization for enhanced AS control.

Main Methods:

  • Developed TrASPr (Transformer for Alternative Splicing Prediction), a multi-transformer model adaptable to diverse AS events and cellular conditions.
  • Integrated TrASPr as an oracle to generate data for training a Bayesian Optimization for Splicing (BOS) algorithm.
  • Utilized dCas13 for experimental validation of predicted splicing variations and regulatory elements.

Main Results:

  • TrASPr+BOS demonstrated superior performance compared to existing methods.
  • Achieved up to a 1.8-fold enhancement in tissue-specific AUPRC (Area Under the Precision-Recall Curve).
  • Successfully identified and validated novel tissue-specific splicing variations and regulatory elements.

Conclusions:

  • TrASPr+BOS provides an accurate and efficient approach for AS prediction and RNA design.
  • The model advances the understanding of tissue-specific gene regulation.
  • Offers a valuable tool for researchers in molecular biology and therapeutic development.