Comprehensive mass spectrometric metabolomic profiling of a chemically diverse collection of plants of the Celastraceae family.

Autor: Quiros-Guerrero LM; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU, 1211, Geneva, Switzerland. luis.guerrero@unige.ch.; School of Pharmaceutical Sciences, University of Geneva, CMU, 1211, Geneva, Switzerland. luis.guerrero@unige.ch., Allard PM; Department of Biology, University of Fribourg, 1700, Fribourg, Switzerland., Nothias LF; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU, 1211, Geneva, Switzerland.; School of Pharmaceutical Sciences, University of Geneva, CMU, 1211, Geneva, Switzerland., David B; Green Mission Department, Herbal Products Laboratory, Pierre Fabre Research Institute, Toulouse, France., Grondin A; Green Mission Department, Herbal Products Laboratory, Pierre Fabre Research Institute, Toulouse, France., Wolfender JL; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU, 1211, Geneva, Switzerland. jean-luc.wolfender@unige.ch.; School of Pharmaceutical Sciences, University of Geneva, CMU, 1211, Geneva, Switzerland. jean-luc.wolfender@unige.ch.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2024 Apr 22; Vol. 11 (1), pp. 415. Date of Electronic Publication: 2024 Apr 22.
DOI: 10.1038/s41597-024-03094-6
Abstrakt: Natural products exhibit interesting structural features and significant biological activities. The discovery of new bioactive molecules is a complex process that requires high-quality metabolite profiling data to properly target the isolation of compounds of interest and enable their complete structural characterization. The same metabolite profiling data can also be used to better understand chemotaxonomic links between species. This Data Descriptor details a dataset resulting from the untargeted liquid chromatography-mass spectrometry metabolite profiling of 76 natural extracts of the Celastraceae family. The spectral annotation results and related chemical and taxonomic metadata are shared, along with proposed examples of data reuse. This data can be further studied by researchers exploring the chemical diversity of natural products. This can serve as a reference sample set for deep metabolome investigation of this chemically rich plant family.
(© 2024. The Author(s).)
Databáze: MEDLINE
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