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Challenges in Metabolomics addressed by targeted and untargeted UHR-Q-TOF analysis
| Type: | Application |
Application Note |
Metabolomics Studies |
| Number: | Technology |
ET-21 |
UHR-TOF |
| Year | Products |
2010 |
maXis, ProfileAnalysis |
| Author | |
Aiko Barsch1, Gabriela Zurek1, Daniel Krug², Niña Cortina2 , Rolf Müller² (1) Bruker Daltonik GmbH, Bremen, Germany (2) Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS) & Universität des Saarlandes, 66123 Saarbrücken, Germany |
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| Reference | |
ET-21, #272829 |
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Abstract |
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Myxobacteria are a promising source of natural products exhibiting potent biological activities, and several myxobacterial metabolites are currently under investigation as potential leads for novel drugs. However, the myxobacteria are also a striking example of the contrast between the genetic capacity for the production of secondary metabolites and the number of compounds that could be characterized to date [1,2]. In conventional analyses, the number of identified metabolites is usually significantly lower than that predicted from genome sequence information. Thus, the discovery of novel secondary metabolites from genetically proficient myxobacterial producers currently constitutes a substantial bottleneck. Improved analytical methods, based on the combined use of LC-coupled highresolution mass spectrometry and statistical data evaluation, can significantly enhance the process of uncovering these “hidden” bacterial secondary metabolomes [3,4]. Here, we present maXis ESI-UHR-Q-TOF based analysis of myxobacterial secondary metabolites, which enables several challenges frequently encountered in metabolite profiling studies to be solved. These challenges comprise the simultaneous need for fast, robust, and sensitive analysis with high resolution, accuracy and excellent reproducibility. Analytical solutions for targeted and untargeted metabolomics experiments using ESI-UHR-Q-TOF-MS are discussed. |
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Related Products |
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maXis 4G |
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