CRYPTID-exon: streamlined detection of cryptic exons from RNA-seq data.

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Cryptic splicing is a common yet poorly understood aspect of gene expression in mammals.
• Identifying functional cryptic exons is challenging due to difficulties in pinpointing exact mRNA sequences.

Purpose of the Study:

• To introduce CRYPTID-exon, a novel computational method for accurate cryptic exon boundary prediction.
• To characterize cryptic exons in human cells and assess their role in gene expression regulation.
• To explore the therapeutic potential of targeting cryptic exons in disease-relevant genes.

Main Methods:

• Development of CRYPTID-exon, a computational approach modeling RNA-seq read coverage around splice sites.
• Application of CRYPTID-exon to identify and characterize thousands of cryptic exons in human RNA.
• Validation of CRYPTID-exon's ability to detect exons sensitive to translation-mediated degradation.

Main Results:

• Thousands of previously unannotated cryptic exons were identified and characterized in human cells.
• CRYPTID-exon successfully identified exons affected by translation-mediated degradation.
• Targeting identified cryptic exons with antisense oligonucleotides (ASOs) demonstrated modulation of gene expression and splicing.

Conclusions:

• CRYPTID-exon provides a robust framework for systematic identification and characterization of cryptic exons.
• This approach facilitates understanding the impact of cryptic exons on mRNA stability and translation.
• Targeting cryptic exons offers a potential strategy for modulating gene expression in disease contexts.