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https://hdl.handle.net/1822/61675| Title: | 17α-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 |
| Keywords: | Ulva lactuca 17a-ethinylestradiol NMR spectroscopy Endometabolome Exometabolome |
| Issue date: | 2019 |
| Publisher: | Springer |
| Journal: | Advances in Intelligent Systems and Computing |
| Citation: | Cabral, 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. |
| Type: | Conference paper |
| URI: | https://hdl.handle.net/1822/61675 |
| ISBN: | 9783319987019 |
| DOI: | 10.1007/978-3-319-98702-6_26 |
| ISSN: | 2194-5357 |
| e-ISSN: | 2194-5365 |
| Publisher version: | http://www.springer.com/series/11156 |
| Peer-Reviewed: | yes |
| Access: | Restricted access (UMinho) |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| document_48947_1.pdf Restricted access | 218,09 kB | Adobe PDF | View/Open |
