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High-Throughput Quantitative Lipidomics Analysis of Nonesterified Fatty Acids in Plasma by LC-MS.
Journal article

High-Throughput Quantitative Lipidomics Analysis of Nonesterified Fatty Acids in Plasma by LC-MS.

  • Christinat N Lipid Biology, Nestlé Institute of Health Sciences, EPFL Innovation Park, bâtiment H, Lausanne, 1015, Switzerland.
  • Morin-Rivron D Lipid Biology, Nestlé Institute of Health Sciences, EPFL Innovation Park, bâtiment H, Lausanne, 1015, Switzerland.
  • Masoodi M Lipid Biology, Nestlé Institute of Health Sciences, EPFL Innovation Park, bâtiment H, Lausanne, 1015, Switzerland. mojgan.masoodi@rd.nestle.com.
  • 2017-07-05
Published in:
  • Methods in molecular biology (Clifton, N.J.). - 2017
Branched-chain fatty acids
Human plasma
Lipidomics
Liquid chromatography
Mass spectrometry
Nonesterified fatty acids
Chromatography, Liquid
Fatty Acids
Fatty Acids, Nonesterified
High-Throughput Screening Assays
Humans
Lipids
Metabolome
Metabolomics
Software
Statistics as Topic
Tandem Mass Spectrometry
English Nonesterified fatty acids are important biological molecules which have multiple functions such as energy storage, gene regulation, or cell signaling. Comprehensive profiling of nonesterified fatty acids in biofluids can facilitate studying and understanding their roles in biological systems. For these reasons, we have developed and validated a high-throughput, nontargeted lipidomics method coupling liquid chromatography to high-resolution mass spectrometry for quantitative analysis of nonesterified fatty acids. Sufficient chromatographic separation is achieved to separate positional isomers such as polyunsaturated and branched-chain species and quantify a wide range of nonesterified fatty acids in human plasma samples. However, this method is not limited only to these fatty acid species and offers the possibility to perform untargeted screening of additional nonesterified fatty acid species.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://roar.hep-bejune.ch/global/documents/10256
Statistics
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