2018
DOI: 10.1039/c8sc01502c
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New enzymatic and mass spectrometric methodology for the selective investigation of gut microbiota-derived metabolites

Abstract: New sulfatase-based assay for the selective identification of sulfate esters in human urine and fecal samples.

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Cited by 42 publications
(57 citation statements)
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“…The complexity of metabolomics analysis and challenges to overcome metabolite structure identification as well as absolute validation require the development of advanced chemical biology and interdisciplinary methodologies . We have recently reported a new strategy for the identification of O‐sulfated metabolites by using a combination of sulfatase treatment, chemical synthesis, and bioinformatic metabolomics analysis to selectively identify sulfated metabolites . This enzyme‐driven metabolomics discovery approach identified three times as many sulfated metabolites as are reported in the entire Human Metabolome Database .…”
Section: Figurementioning
confidence: 99%
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“…The complexity of metabolomics analysis and challenges to overcome metabolite structure identification as well as absolute validation require the development of advanced chemical biology and interdisciplinary methodologies . We have recently reported a new strategy for the identification of O‐sulfated metabolites by using a combination of sulfatase treatment, chemical synthesis, and bioinformatic metabolomics analysis to selectively identify sulfated metabolites . This enzyme‐driven metabolomics discovery approach identified three times as many sulfated metabolites as are reported in the entire Human Metabolome Database .…”
Section: Figurementioning
confidence: 99%
“…We have recently reported a new strategy for the identification of O‐sulfated metabolites by using a combination of sulfatase treatment, chemical synthesis, and bioinformatic metabolomics analysis to selectively identify sulfated metabolites . This enzyme‐driven metabolomics discovery approach identified three times as many sulfated metabolites as are reported in the entire Human Metabolome Database . This new metabolomics tool opens up new opportunities for the discovery of unknown bioactive molecules.…”
Section: Figurementioning
confidence: 99%
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