Evidence map›Paper›PMID 39890826›Full record

ArticleScientific data2025

A MALDI-ToF mass spectrometry database for identification and classification of highly pathogenic bacteria.

Peter Lasch, Wolfgang Beyer, Alejandra Bosch, Rainer Borriss, Michal Drevinek, Susann Dupke, Monika Ehling-Schulz, Xuewen Gao, Roland Grunow, Daniela Jacob and 10 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

  1. Article
  2. Article
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  5. Beyond the Usual Suspects: EmergingInternational journal of molecular sciences · 2026
    Review
  6. Article
  7. Article
  8. Up-to-date MALDI-TOF MS-based identification of theJournal of clinical microbiology · 2026
    Article
  9. Article
  10. Genomic profiling ofMicrobiology resource announcements · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. TrackingACS omega · 2026
    Review
  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Peter LaschRobert Koch Institute, ZBS 6 - Proteomics and Spectroscopy, Seestraße 10, Berlin, D-13353, Germany. LaschP@rki.de.ORCID http://orcid.org/0000-0001-6193-3144
Wolfgang BeyerAdvisory Panel of the Medical Academy of the German Armed Forces, Bundeswehr Institute of Microbiology, Munich, Germany.
Alejandra BoschCINDEFI-UNLP-CONICET, CCT La Plata, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina.
Rainer BorrissInstitute of Marine Biotechnology e.V. (IMaB), Greifswald, Germany.
Michal DrevinekNational Institute for Nuclear, Chemical and Biological Protection, Milin, Czech Republic.
Susann DupkeRobert Koch Institute, ZBS 2 - Highly Pathogenic Microorganisms, Berlin, Germany.
Monika Ehling-SchulzFunctional Microbiology, Institute of Microbiology, University of Veterinary Medicine, Vienna, Austria.ORCID http://orcid.org/0000-0001-7384-0594
Xuewen GaoCollege of Plant Protection, Nanjing Agricultural University, Key Laboratory of Integrated Management of Crop Diseases and Pests, Nanjing, People's Republic of China.
Roland GrunowRobert Koch Institute, ZBS 2 - Highly Pathogenic Microorganisms, Berlin, Germany.
Daniela JacobRobert Koch Institute, ZBS 2 - Highly Pathogenic Microorganisms, Berlin, Germany.
Silke R KleeRobert Koch Institute, ZBS 2 - Highly Pathogenic Microorganisms, Berlin, Germany.
Armand PaauwNetherlands Organization for Applied Scientific Research TNO, Department of CBRN Protection, Rijswijk, The Netherlands.
Jörg RauChemisches und Veterinäruntersuchungsamt Stuttgart (CVUAS), Fellbach, Germany.
Andy SchneiderRobert Koch Institute, ZBS 6 - Proteomics and Spectroscopy, Seestraße 10, Berlin, D-13353, Germany.
Holger C ScholzRobert Koch Institute, ZBS 2 - Highly Pathogenic Microorganisms, Berlin, Germany.
Maren StämmlerRobert Koch Institute, ZBS 6 - Proteomics and Spectroscopy, Seestraße 10, Berlin, D-13353, Germany.
Le Thi Thanh TamDivision of Plant Pathology and Phyto-Immunology, Plant Protection Research Institute, Hanoi, Vietnam.
Herbert TomasoFriedrich-Loeffler-Institut (FLI), Federal Research Institute for Animal Health, Jena, Germany.
Guido WernerRobert Koch Institute, Nosocomial Pathogens and Antibiotic Resistances (FG13) and National Reference Centre for Staphylococci and Enterococci, Wernigerode, Germany.
Joerg DoellingerRobert Koch Institute, ZBS 6 - Proteomics and Spectroscopy, Seestraße 10, Berlin, D-13353, Germany.

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 031B0582ABundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 031B0582B and 01DN15016Bundesministerium für Gesundheit (Federal Ministry of Health, Germany) n/a
6 · The paper itself

Abstract

Today, MALDI-ToF MS is an established technique to characterize and identify pathogenic bacteria. The technique is increasingly applied by clinical microbiological laboratories that use commercially available complete solutions, including spectra databases covering clinically relevant bacteria. Such databases are validated for clinical, or research applications, but are often less comprehensive concerning highly pathogenic bacteria (HPB). To improve MALDI-ToF MS diagnostics of HPB we initiated a program to develop protocols for reliable and MALDI-compatible microbial inactivation and to acquire mass spectra thereof many years ago. As a result of this project, databases covering HPB, closely related bacteria, and bacteria of clinical relevance have been made publicly available on platforms such as ZENODO. This publication in detail describes the most recent version of this database. The dataset contains a total of 11,055 spectra from altogether 1,601 microbial strains and 264 species and is primarily intended to improve the diagnosis of HPB. We hope that our MALDI-ToF MS data may also be a valuable resource for developing machine learning-based bacterial identification and classification methods.

Indexed as

BacteriaDatabases, FactualSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID39890826
PMCPMC11785946

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.