SpectrSeqTools: LC-MS/MS-Based De Novo Sequencing of Small Ribonucleic Acids with Post-Transcriptional Modifications

Abstract Post-transcriptional RNA modifications are key regulators of fundamental cellular processes. Yet, their precise biological functions remain largely unresolved. A major challenge is their reliable detection. While sequencing-based approaches are limited to a small subset of RNA modifications, mass spectrometry has the potential to directly identify various modified nucleotides within their sequence context. However, existing tools for nucleic acid analysis offer severely constrained functionality. Here, we introduce a set of algorithmic innovations implemented in SpectrSeqTools, an open-source LC-MS/MS-based software platform that enables fully automated de novo RNA sequencing together with comprehensive modification profiling of short RNA fragments directly from raw data. We further validated prediction accuracy and robustness using experimental and simulated data. As such, SpectrSeqTools effectively broadens the scope of nucleic acid mass spectrometry, enabling the read-out of up to 144 RNA modifications within their sequence context.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-09-25
DOI
https://doi.org/10.1021/acs.analchem.6c02546
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

SpectrSeqTools: LC-MS/MS-Based De Novo Sequencing of Small Ribonucleic Acids with Post-Transcriptional Modifications

Juan Antonio R. Magalang, Sidney M. Becker, Moshir Harsh, Laura C. Kühle et al.
Analytical Chemistry
RNA modifications and cancer
article

SpectrSeqTools: LC-MS/MS-Based De Novo Sequencing of Small Ribonucleic Acids with Post-Transcriptional Modifications

Juan Antonio R. Magalang, Sidney M. Becker, Moshir Harsh, Laura C. Kühle, Shanice Jessica Hermon, Johannes Köster
article en

Abstract

Abstract Post-transcriptional RNA modifications are key regulators of fundamental cellular processes. Yet, their precise biological functions remain largely unresolved. A major challenge is their reliable detection. While sequencing-based approaches are limited to a small subset of RNA modifications, mass spectrometry has the potential to directly identify various modified nucleotides within their sequence context. However, existing tools for nucleic acid analysis offer severely constrained functionality. Here, we introduce a set of algorithmic innovations implemented in SpectrSeqTools, an open-source LC-MS/MS-based software platform that enables fully automated de novo RNA sequencing together with comprehensive modification profiling of short RNA fragments directly from raw data. We further validated prediction accuracy and robustness using experimental and simulated data. As such, SpectrSeqTools effectively broadens the scope of nucleic acid mass spectrometry, enabling the read-out of up to 144 RNA modifications within their sequence context.

Analytical Chemistry
TU Dortmund University (DE), Essen University Hospital (DE), Max Planck Institute of Molecular Physiology (DE), University of Duisburg-Essen (DE)
Openalex Percentile: Top 19%
RNA modifications and cancer
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.