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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70565813%3A_____%2F25%3AN0000020" target="_blank" >RIV/70565813:_____/25:N0000020 - isvavai.cz</a>

Výsledek na webu

<a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC11785946/pdf/41597_2025_Article_4504.pdf" target="_blank" >https://pmc.ncbi.nlm.nih.gov/articles/PMC11785946/pdf/41597_2025_Article_4504.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41597-025-04504-z" target="_blank" >10.1038/s41597-025-04504-z</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10606 - Microbiology

Projekt

<a href="/cs/project/VJ01010107" target="_blank" >VJ01010107: Rozšiřování a charakterizace sbírky rizikových a vysoce rizikových biologických agens, která jsou původci nebezpečných nákaz, a zavádění nových postupů práce s nimi</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

SCIENTIFIC DATA

ISSN

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e-ISSN

2052-4463

Svazek periodika

12

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

13

Strana od-do

—

Kód UT WoS článku

001410495500001

EID výsledku v databázi Scopus

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