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DIGITAL.CSIC
Dataset . 2020 . Peer-reviewed
Data sources: DIGITAL.CSIC
DIGITAL.CSIC
Dataset . 2020
Data sources: Datacite
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[Dataset] Untargeted lipidomics shows the ability of BPA, BPF and BADGE·2HCl to alter lipid metabolism in zebrafish liver cells (ZFL).

Authors: Marqueño, Anna;

[Dataset] Untargeted lipidomics shows the ability of BPA, BPF and BADGE·2HCl to alter lipid metabolism in zebrafish liver cells (ZFL).

Abstract

Lipids identified in ZFL cells using UHPLC-HRMS/MS and LipidMatch flow for data treatment. The file contains molecular formulae, m/z ratio, retention time and lipid subclass at the maximum intensity for each lipid. It also includes a column entitled ID Ranked (1=Data-Dependent (top 30) MS/MS fragment m/z match, 3=Headgroup m/z match (class-ID)).

ZFL cells were exposed to BPA (5, 20, 50 µM), BPF (5, 20, 50 µM) and BADGE·2HCl (1, 5, 10 µM) for 24 hours and intracellular lipids were measured by UHPLC-HRMS/MS using a Q-Exactive Orbitrap as a mass spectrometer.

Peer reviewed

Country
Spain
Related Organizations
Keywords

Untargeted lipidomics, BADGE·2HCl, ZFL cells, http://aims.fao.org/aos/agrovoc/c_4769, lipidMatch, BPF, metabolism, BPA

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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