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Analysis of Microbial Siderophores by Mass Spectrometry
T. Pluhacek, A. Skriba, J. Novak, D. Luptakova, V. Havlicek,
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Aspergillus fumigatus metabolism MeSH
- Biomarkers analysis MeSH
- Chromatography, Liquid methods MeSH
- Data Mining methods MeSH
- Datasets as Topic MeSH
- Ferrichrome analogs & derivatives isolation & purification metabolism MeSH
- Tissue Fixation methods MeSH
- Mass Spectrometry methods MeSH
- Invasive Pulmonary Aspergillosis diagnosis microbiology MeSH
- Cryoultramicrotomy methods MeSH
- Rats MeSH
- Hydroxamic Acids isolation & purification metabolism MeSH
- Humans MeSH
- Disease Models, Animal MeSH
- Siderophores isolation & purification metabolism MeSH
- Software MeSH
- Ferric Compounds isolation & purification metabolism MeSH
- Animals MeSH
- Check Tag
- Rats MeSH
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Siderophores represent important microbial virulence factors and infection biomarkers. Their monitoring in fermentation broths, bodily fluids, and tissues should be reproducible. Similar isolation, characterization, and quantitation studies can often have conflicting results, and without proper documentation of sample collection, data processing, and analysis methods, it is difficult to reexamine the data and reconcile these differences. In this Springer Nature Protocol, we present the procedure optimized for ferricrocin/triacetylfusarinine C extraction from biological material as well as for tissue fixation and cryosectioning for optical microscopy and for both elemental and molecular mass spectrometry imaging. Special attention is paid to siderophore data mining from conventional and product ion mass spectra, liquid chromatography, and mass spectrometry imaging datasets, performed here by our free software called CycloBranch.
References provided by Crossref.org
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