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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive top-down mass spectral repository enables pan-dataset analysis and top-down spectral prediction

Kaiyuan Liu, X. Liu, Kun Li, Haixu Tang et al.
bioRxiv (Cold Spring Harbor Laboratory)
Mass Spectrometry Techniques and Applications
article

Comprehensive top-down mass spectral repository enables pan-dataset analysis and top-down spectral prediction

Kaiyuan Liu, X. Liu, Kun Li, Haixu Tang, James M Fulcher
article en

Abstract

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.

bioRxiv (Cold Spring Harbor Laboratory)
Tulane University (US), Pacific Northwest National Laboratory (US), Environmental Molecular Sciences Laboratory (US), Indiana University Bloomington (US)
Openalex Percentile: Top 47%
Mass Spectrometry Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.