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Geibel, C.

Publications and source records attributed to Geibel, C..

2 recordsLinked to original sources

Native metabolomics identifies pteridines as CutA ligands and modulators of copper binding

CutA, a conserved protein across all domains of life, has long been linked to copper tolerance in Escherichia coli, though recent studies question this association. To clarify its function, we studied cutA knockout mutants from two phylogenetically distant species, E. coli and Synechococcus elongatus PCC 7942, using phenotyping combined with targeted and untargeted metabolomics. Native metabolomics of cell extracts revealed the lumazine dehydroxyxanthopterin B2, a previously uncharacterized pteridine, to bind CutA in both species. Based on these results, we identified other pteridines, including the essential cofactor tetrahydrobiopterin, as ligands of CutA proteins. In the presence of pterins, we observed higher affinity of CutA to copper ions. These findings, alongside the known role of pteridines as redox shuttles, suggest a previously unrecognized role for CutA in coordinating copper homeostasis and redox balance via pteridine metabolism. SignificanceWe identified the molecular class of pteridines as natural ligands of CutA, including the so far unknown lumazine dehydroxyxanthopterin B2. Pteridines are known redox shuttles involved in various cellular processes such as cofactors for redox enzymes. Our data showed increased copper binding to CutA in the presence of pteridines. Together, these results suggest that pteridines are physiological ligands of CutA that may modulate copper binding and redox homeostasis.

microbiology↗

ModiFinder: Tandem Mass Spectral Alignment Enables Structural Modification Site Localization

Untargeted tandem mass spectrometry (MS/MS) has become a high-throughput method to measure small molecules in complex samples. One key goal is the transformation of these MS/MS spectra into chemical structures. Computational techniques such as MS/MS library search have enabled the re-identification of known compounds. Analog library search and molecular networking extend this identification to unknown compounds. While there have been advancements in metrics for the similarity of MS/MS spectra of structurally similar compounds, there is still a lack of automated methods to provide site specific information about structural modifications. Here we introduce ModiFinder that leverages the alignment of peaks in MS/MS spectra between structurally related known and unknown small molecules. Specifically, ModiFinder focuses on shifted MS/MS fragment peaks in the MS/MS alignment. These shifted peaks putatively represent substructures of the known molecule that contain the site of the modification. ModiFinder synthesizes these information together and scores the likelihood for each atom in the known molecule to be the modification site. We demonstrate in this manuscript how ModiFinder can effectively localize modifications which extends the capabilities of MS/MS analog searching and molecular networking to accelerate the discovery of novel compounds.

bioinformatics↗