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Updated: Jun 28, 2025

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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
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IS-PRM-based peptide targeting informed by long-read sequencing for alternative proteome detection
Jennifer A Korchak1, Erin D Jeffery1, Saikat Bandyopadhyay1,2
1Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia, USA.
Biorxiv : the Preprint Server for Biology
|April 15, 2024
Summary
This study introduces a new method combining long-read RNA sequencing with targeted mass spectrometry to detect previously unannotated protein isoforms, significantly improving the identification of alternative protein products.
Area of Science:
- Proteomics
- Transcriptomics
- Molecular Biology
Background:
- Alternative splicing generates diverse protein isoforms, but their functional relevance and detection remain challenging.
- Existing methods struggle to identify scarce, isoform-specific peptides due to technical limitations.
- Targeted mass spectrometry (MS) strategies like internal standard parallel reaction monitoring (IS-PRM) offer sensitive detection but haven't been applied to novel peptide discovery.
Approach:
- Developed a targeted proteogenomic approach (LRP-IS-PRM) integrating long-read RNA sequencing (LR RNAseq) with IS-PRM (Tomahto).
- Used LR RNAseq to predict potential protein isoforms and generate synthetic 'trigger' peptides.
- Spiked labeled synthetic peptides into cell digests to detect corresponding endogenous 'target' peptides via IS-PRM.
Key Points:
- Identified 54 resolved protein isoforms from 43 genes, including five previously unannotated isoforms.
- The LRP-IS-PRM method increased isoform detectability by 3.6-fold compared to data-dependent acquisition (DDA) mode.
- Successfully generated protein-level evidence for alternative isoforms, aiding future functional studies.
Conclusions:
- LRP-IS-PRM provides a novel, sensitive modality for confirming protein isoforms predicted by transcriptomic data.
- This approach overcomes limitations in detecting isoform-specific peptides, advancing the study of proteomic diversity.
- Enables the critical first step in characterizing novel protein isoforms for functional and clinical applications.
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