Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/61675

Title17α-ethinylestradiol analysis of endo- and exometabolome of Ulva lactuca (chlorophyta) by 1H-NMR spectroscopy and bioinformatics tools
Author(s)Cabral, Debora
Cardoso, Sara
Rocco, Silvana
Sforça, Maurício
Hengeltraub, Simone Fanan
Bauer, Cláudia
Rocha, Miguel
Maraschin, Marcelo
KeywordsUlva lactuca
17a-ethinylestradiol
NMR spectroscopy
Endometabolome
Exometabolome
Issue date2019
PublisherSpringer
JournalAdvances in Intelligent Systems and Computing
CitationCabral, Debora; Cardoso, Sara; Rocco, Silvana; Sforça, Maurício; Hengeltraub, Simone Fanan; Bauer, Cláudia; Rocha, Miguel; Maraschin, Marcelo, 17-ethinylestradiol analysis of endo- and exometabolome of Ulva lactuca (chlorophyta) by 1H-NMR spectroscopy and bioinformatics tools. Advances in Intelligent Systems and Computing. Vol. 803 (PACBB 2018), Springer, 216-223, 2019.
Abstract(s)The uptake of 17α-ethinylestradiol (EE2) by the green alga Ulva lactuca and its effects on the metabolome of that macroalgae have been investigated using 1H-NMR spectroscopy. To this end, U. lactuca in vitro cultures have been acutely (48 h) exposed to the estrogen and both, endo- and exometabolome were investigated. Bioinformatic analyses were performed to integrate and analyze endo- and exometabolic profiles allowing the detection of EE2 into exometabolome samples and identifying very important parameters (VIPs), i.e., 1H-NMR resonances, responsible for grouping similar U. lactuca metabolic profiles and biochemical phenotypes.
TypeConference paper
URIhttp://hdl.handle.net/1822/61675
ISBN9783319987019
DOI10.1007/978-3-319-98702-6_26
ISSN2194-5357
e-ISSN2194-5365
Publisher versionhttp://www.springer.com/series/11156
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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