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Updated: Jun 6, 2025

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
A Systematic Identification of RNA-Binding Proteins (RBPs) Driving Aberrant Splicing in Cancer
Cesar Lobato-Fernandez1, Marian Gimeno1, Ane San Martín1
1Departamento de Ingeniería Biomédica y Ciencias, TECNUN, Universidad de Navarra, 20009 San Sebastián, Spain.
Background:
Alternative Splicing (AS) is a post-transcriptional process that allows a single RNA to produce different mRNA variants and, in some cases, multiple proteins. Various processes, many yet to be discovered, regulate AS. This study focuses on regulation by RNA-binding proteins (RBPs), which are not only crucial for splicing regulation but also linked to cancer prognosis and are emerging as therapeutic targets for cancer treatment. CLIP-seq experiments help identify where RBPs bind on nascent transcripts, potentially revealing changes in splicing status that suggest causal relationships. Selecting specific RBPs for CLIP-seq experiments is often driven by a priori hypotheses.
Results:
We developed an algorithm to detect RBPs likely related to splicing changes between conditions by integrating several CLIP-seq databases and a differential splicing detection algorithm. This work refines a previous study by improving splicing event prediction, testing different enrichment statistics, and performing additional validation experiments. The new method provides more accurate predictions and is included in the Bioconductor package EventPointer 3.14. We tested the algorithm in four experiments involving knockdowns of seven different RBPs. The algorithm accurately assessed the statistical significance of these RBPs using only splicing alterations. Additionally, we applied the algorithm to study sixteen cancer types from The Cancer Genome Atlas (TCGA) and three from TARGET. We identified relationships between RBPs and various cancer types, including alterations in CREBBP and MBNL2 in adenocarcinomas of the lung, liver, prostate, rectum, stomach, and colon. Some of these findings are validated in the literature, while others are novel.
Conclusions:
The developed algorithm enhances the ability to predict and understand RBP-related splicing changes, offering more accurate predictions and novel insights into cancer-related splicing alterations. This work highlights the potential of RBPs as therapeutic targets and contributes to the broader understanding of their roles in cancer biology.
Insights
We developed a new algorithm to identify RNA-binding proteins (RBPs) linked to alternative splicing (AS) changes. This tool improves cancer research by predicting RBP roles in splicing alterations and potential therapeutic targets.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genomics
Background:
- Alternative splicing (AS) generates diverse mRNA variants from a single gene.
- RNA-binding proteins (RBPs) are key regulators of AS and implicated in cancer.
- CLIP-seq identifies RBP binding sites, aiding splicing change analysis.
Purpose of the Study:
- To develop and validate an algorithm for detecting RBPs associated with differential splicing.
- To refine existing methods for predicting splicing events and RBP enrichment.
- To investigate RBP roles in various cancer types using large-scale genomic data.
Main Methods:
- Integrated multiple CLIP-seq databases with a differential splicing detection algorithm.
- Developed a novel algorithm for RBP-splicing association analysis.
- Applied the algorithm to knockdown experiments and The Cancer Genome Atlas (TCGA) and TARGET cancer datasets.
Main Results:
- The algorithm accurately predicts statistically significant RBPs based on splicing alterations.
- Identified novel associations between RBPs (e.g., CREBBP, MBNL2) and multiple cancer types.
- The refined method is integrated into the Bioconductor package EventPointer 3.14.
Conclusions:
- The algorithm improves the prediction of RBP-driven splicing changes.
- Provides novel insights into RBP involvement in cancer biology.
- Highlights RBPs as potential therapeutic targets for cancer treatment.
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