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Updated: Feb 10, 2026

PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins
Published on: July 2, 2010
A General Framework for Interrogation of mRNA Stability Programs Identifies RNA-Binding Proteins that Govern Cancer
Gabrielle Perron1, Pouria Jandaghi1, Shraddha Solanki2
1Department of Human Genetics, McGill University, Montreal, QC H3A 1B1, Canada; McGill University and Genome Quebec Innovation Centre, Montreal, QC H3A 0G1, Canada.
RNA-binding proteins (RBPs) are key regulators of mRNA stability, often deregulated in cancer. This study identifies specific RBPs driving the abnormal transcriptome in renal cell carcinoma (RCC), highlighting their role in cancer progression.
Area of Science:
- Molecular Biology
- Cancer Genomics
- Bioinformatics
Background:
- Transcriptome remodeling is a hallmark of cancer.
- The role of post-transcriptional regulators, specifically RNA-binding proteins (RBPs), in cancer-associated pathways is not well understood.
- RBPs influence mRNA stability, impacting gene expression.
Purpose of the Study:
- To investigate the role of RBPs in regulating mRNA stability and their contribution to cancer.
- To identify specific RBPs deregulated in renal cell carcinoma (RCC).
- To establish a computational framework for screening RBP activities in cancer.
Main Methods:
- Computational modeling of global gene expression changes based on RBP effects on mRNA stability.
- Analysis of sequence-specific RBP activity in cancerous tissues.
- Functional validation of identified RBPs in cancer cell lines.
Main Results:
- RBP-mediated mRNA stability programs are recurrently deregulated in cancerous tissues.
- Specific RBPs, including PCBP2, ESRP2, and MBNL2, were identified as key contributors to the abnormal RCC transcriptome.
- Modulation of these RBPs altered cancer-central pathways in cell lines.
Conclusions:
- RBPs act as master regulators of the RCC transcriptome.
- Post-transcriptional gene dysregulation plays a significant role in RCC.
- The study provides a framework for identifying RBP-driven cancer transcriptomes.
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