Proteome-wide reanalysis identifies coverage and error-rate limits on acquired lysines in cancer
Rajib Molla, Sona Tiwari, Ayan Mukherjee, Md Khaled Hossain, Mikail E AbbasoviD
Abstract
Missense mutation in cancer creates acquired lysines, residues present in tumor cells and absent from normal cells in the same patient. The class holds 295,411 sites across 20,365 genes and falls on driver hotspots more often than other substitutions (odds ratio 1.68). Yet re-searching 42 proteomic experiments with a mutation-aware database recovers the mutant peptide in 0.63% of 8,470 site-in-cell-line observations, because a new lysine is a new cleavage site and the peptide it creates runs 6 residues against 13 for the wild type. Reported error rates do not hold either. Burden-matched entrapment puts the realized false-discovery proportion at 4.70% before score filtering, against 1% reported. Measured by competitive activity-based protein profiling across four cell lines, ligandability reproduces at the site level, no compound descriptor tested predicts it, and structure predicts it poorly at AUC 0.617. Acquired lysines are structurally ordinary, so the barrier is detection rather than chemistry.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Prominent Features Of The Amino Acid Mutation Landscape In Cancer
Zachary A. Szpiech, Nicolas B. Strauli, … Ryan D. Hernandez·PLoS ONEPeer-reviewed·Aug 24, 2017
- Leveraging learned representations and multitask learning for lysine methylation site discovery
François Charih, Mullen Boulter, … James R. Green·Scientific ReportsPeer-reviewed·Feb 23, 2026
- Computational investigation of missense somatic mutations in cancer and potential links to pH-dependence and proteostasis
Shalaw R. Sallah, Jim Warwicker·PLoS ONEPeer-reviewed·Nov 19, 2024
- Looking Across Protein Domains to Identify Driver Mutations in Cancer
Daria S. Ostroverkhova, Yiru Sheng, … Anna R. Panchenko·bioRxiv·Aug 11, 2025
- Leveraging immonium ions for identifying and targeting acyl-lysine modifications in proteomic datasets
J. M. Muroski, J. Y. Fu, … J. A. Loo·bioRxiv·Apr 20, 2020
- Protein structural context of cancer mutations reveals molecular mechanisms and identifies novel candidate driver genes
Diego Chillón Pino, Mihaly Badonyi, … Joseph A. Marsh·bioRxiv·Mar 21, 2024