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Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites

In natural-product drug discovery, finding new compounds is the main task, and thus fast dereplication of known compounds is essential. This is usually performed by manual liquid chromatography-ultraviolet (LC-UV) or visible light-mass spectroscopy (Vis-MS) interpretation of detected peaks, often as...

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Autores principales: Klitgaard, Andreas, Iversen, Anita, Andersen, Mikael R., Larsen, Thomas O., Frisvad, Jens Christian, Nielsen, Kristian Fog
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3955480/
https://www.ncbi.nlm.nih.gov/pubmed/24442010
http://dx.doi.org/10.1007/s00216-013-7582-x
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author Klitgaard, Andreas
Iversen, Anita
Andersen, Mikael R.
Larsen, Thomas O.
Frisvad, Jens Christian
Nielsen, Kristian Fog
author_facet Klitgaard, Andreas
Iversen, Anita
Andersen, Mikael R.
Larsen, Thomas O.
Frisvad, Jens Christian
Nielsen, Kristian Fog
author_sort Klitgaard, Andreas
collection PubMed
description In natural-product drug discovery, finding new compounds is the main task, and thus fast dereplication of known compounds is essential. This is usually performed by manual liquid chromatography-ultraviolet (LC-UV) or visible light-mass spectroscopy (Vis-MS) interpretation of detected peaks, often assisted by automated identification of previously identified compounds. We used a 15 min high-performance liquid chromatography–diode array detection (UHPLC–DAD)–high-resolution MS method (electrospray ionization (ESI)(+) or ESI(−)), followed by 10–60 s of automated data analysis for up to 3000 relevant elemental compositions. By overlaying automatically generated extracted-ion chromatograms from detected compounds on the base peak chromatogram, all major potentially novel peaks could be visualized. Peaks corresponding to compounds available as reference standards, previously identified compounds, and major contaminants from solvents, media, filters etc. were labeled to differentiate these from compounds only identified by elemental composition. This enabled fast manual evaluation of both known peaks and potential novel-compound peaks, by manual verification of: the adduct pattern, UV–Vis, retention time compared with log D, co-identified biosynthetic related compounds, and elution order. System performance, including adduct patterns, in-source fragmentation, and ion-cooler bias, was investigated on reference standards, and the overall method was used on extracts of Aspergillus carbonarius and Penicillium melanoconidium, revealing new nitrogen-containing biomarkers for both species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00216-013-7582-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-39554802014-03-21 Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites Klitgaard, Andreas Iversen, Anita Andersen, Mikael R. Larsen, Thomas O. Frisvad, Jens Christian Nielsen, Kristian Fog Anal Bioanal Chem Research Paper In natural-product drug discovery, finding new compounds is the main task, and thus fast dereplication of known compounds is essential. This is usually performed by manual liquid chromatography-ultraviolet (LC-UV) or visible light-mass spectroscopy (Vis-MS) interpretation of detected peaks, often assisted by automated identification of previously identified compounds. We used a 15 min high-performance liquid chromatography–diode array detection (UHPLC–DAD)–high-resolution MS method (electrospray ionization (ESI)(+) or ESI(−)), followed by 10–60 s of automated data analysis for up to 3000 relevant elemental compositions. By overlaying automatically generated extracted-ion chromatograms from detected compounds on the base peak chromatogram, all major potentially novel peaks could be visualized. Peaks corresponding to compounds available as reference standards, previously identified compounds, and major contaminants from solvents, media, filters etc. were labeled to differentiate these from compounds only identified by elemental composition. This enabled fast manual evaluation of both known peaks and potential novel-compound peaks, by manual verification of: the adduct pattern, UV–Vis, retention time compared with log D, co-identified biosynthetic related compounds, and elution order. System performance, including adduct patterns, in-source fragmentation, and ion-cooler bias, was investigated on reference standards, and the overall method was used on extracts of Aspergillus carbonarius and Penicillium melanoconidium, revealing new nitrogen-containing biomarkers for both species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00216-013-7582-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2014-01-18 2014 /pmc/articles/PMC3955480/ /pubmed/24442010 http://dx.doi.org/10.1007/s00216-013-7582-x Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/2.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Research Paper
Klitgaard, Andreas
Iversen, Anita
Andersen, Mikael R.
Larsen, Thomas O.
Frisvad, Jens Christian
Nielsen, Kristian Fog
Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites
title Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites
title_full Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites
title_fullStr Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites
title_full_unstemmed Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites
title_short Aggressive dereplication using UHPLC–DAD–QTOF: screening extracts for up to 3000 fungal secondary metabolites
title_sort aggressive dereplication using uhplc–dad–qtof: screening extracts for up to 3000 fungal secondary metabolites
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3955480/
https://www.ncbi.nlm.nih.gov/pubmed/24442010
http://dx.doi.org/10.1007/s00216-013-7582-x
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