Comprehensive top-down mass spectral repository enables pan-dataset analysis and top-down spectral prediction
Mass spectral libraries have become essential resources for training deep learning (DL) models for spectral prediction and <i>de novo</i> sequencing in bottom-up mass spectrometry (BU-MS). Compared with BU-MS, top-down MS (TD-MS) offers unique advantages for characterizing intact proteoforms by analyzing proteoforms without enzymatic digestion. Despite these advantages, large-scale spectral libraries for TD-MS are currently lacking. Here we present TopRepo, the first comprehensive repository of TD-MS spectra, comprising more than 18 million spectra acquired from 12 species across eight types of mass spectrometers. Using TopRepo, we constructed a large-scale top-down spectral library containing over 5 million spectra with curated proteoform and fragment-ion annotations. We demonstrate that TopRepo enables pan-dataset analyses of N-terminal processing, mass shifts, and other proteoform characteristics identified by TD-MS. Furthermore, we show that the TopRepo spectral library substantially improves proteoform identification through spectral library searching and supports the training of DL models for high-accuracy top-down spectral prediction.
Authors
- Kaiyuan Liu (ORCID: https://orcid.org/0000-0002-2396-414X)
- X. Liu
- Kun Li (ORCID: https://orcid.org/0000-0002-8083-4990)
- Haixu Tang
- James M Fulcher
Institutions
- Tulane University (US)
- Pacific Northwest National Laboratory (US)
- Environmental Molecular Sciences Laboratory (US)
- Indiana University Bloomington (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-02-23
- DOI
- https://doi.org/10.64898/2026.02.20.707032
- Primary Topic
- Mass Spectrometry Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00