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Updated: Dec 11, 2025
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An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
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Pan-cancer proteogenomic analysis reveals long and circular noncoding RNAs encoding peptides
Ghofran Othoum1, Emily Coonrod1, Sidi Zhao1
1McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA.
NAR Cancer
|August 18, 2020
Summary
Researchers discovered thousands of novel peptides encoded by long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) using proteogenomic analysis across nine cancer types. This finding expands our understanding of RNA coding potential in human development and disease.
Area of Science:
- Genomics
- Proteomics
- Molecular Biology
Background:
- Recent research indicates that long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) can encode functional peptides.
- These peptides play roles in human development and various diseases, including cancer.
Purpose of the Study:
- To systematically identify lncRNAs and circRNAs that encode peptides.
- To create a comprehensive resource for evaluating the coding potential of these non-coding RNAs in cancer.
Main Methods:
- Integrative analysis of mass spectrometry-based proteomic and transcriptomic sequencing data.
- Analysis of data from over 900 patients across nine cancer types.
- Exploitation of open reading frames in circRNAs, including those overlapping the backspliced region.
Main Results:
- Identification of 19,871 novel peptides derived from 8,903 lncRNAs.
- Identification of 3,238 peptides uniquely derived from 2,834 circRNAs.
- Demonstration of a pan-cancer proteogenomic approach for RNA peptide discovery.
Conclusions:
- The study provides a substantial resource for novel peptide discovery from lncRNAs and circRNAs.
- Findings highlight the unappreciated coding capacity of lncRNAs and circRNAs in cancer.
- This resource can facilitate future research into the functions of these peptides in cancer mechanisms.
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