Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 10, 2026

Shotgun Lipidomics of Rodent Tissues
11:46

Shotgun Lipidomics of Rodent Tissues

Published on: November 18, 2022

LC-MS FADE: Leveraging Untargeted Lipidomics Data for Fatty Acid Profiling.

Jocelyn A Menard1, Joshua A Roberts1, Jacob H Clarke1

  • 1Department of Chemistry, Carleton University, Ottawa, Ontario K1S 5B6, Canada.

Analytical Chemistry
|July 9, 2026
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diving into AA9-mediated transglutaminase 2 inhibition reveals ferroptosis as driver of anticancer effects.

Biochemical pharmacology·2026
Same author

Lipidomic profiling of influenza A virus production in MDCK cells towards targeted clone selection.

Scientific reports·2026
Same author

Enhanced LC-MS Detection of γ-Aminobutyric Acid via Trimethylation Enhancement Using Diazomethane.

Journal of the American Society for Mass Spectrometry·2025
Same author

Improved LC-MS Detection of Opioids, Amphetamines, and Psychedelics Using TrEnDi.

Journal of the American Society for Mass Spectrometry·2025
Same author

Comprehensive untargeted lipidomic profiling of third generation lentiviral vectors and packaging cells.

Molecular omics·2024
Same author

Mobile Phase Contaminants Affect Neutral Lipid Analysis in LC-MS-Based Lipidomics Studies.

Journal of the American Society for Mass Spectrometry·2024

Fatty acid profiling is now more efficient with LC-MS FADE, a new method that extracts fatty acid data from lipidomics datasets. This approach offers improved accuracy and insights compared to traditional GC-MS methods.

Area of Science:

  • Lipidomics and Metabolomics
  • Biochemistry and Molecular Biology

Background:

  • Traditional fatty acid (FA) profiling relies on gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS).
  • Existing methods require separate platforms, increasing costs, time, and sample usage, and cannot directly link FA profiles to intact lipids.

Purpose of the Study:

  • To introduce a novel workflow, LC-MS fatty acid data extraction (LC-MS FADE), for determining FA profiles from existing lipidomics data.
  • To enable direct correlation of FA profiles with intact lipid molecules within a single workflow.

Main Methods:

  • Developed LC-MS FADE to extrapolate FA data from intact lipid peak areas, expressed as percent fractions.
  • Validated the method using eight diverse lipid extracts, comparing results to GC-MS FAME profiles.

More Related Videos

Tracing de novo Lipids using Stable Isotope Labeling LC-TIMS-TOF MS/MS
07:12

Tracing de novo Lipids using Stable Isotope Labeling LC-TIMS-TOF MS/MS

Published on: August 23, 2024

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
09:38

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer

Published on: November 26, 2013

Related Experiment Videos

Last Updated: Jul 10, 2026

Shotgun Lipidomics of Rodent Tissues
11:46

Shotgun Lipidomics of Rodent Tissues

Published on: November 18, 2022

Tracing de novo Lipids using Stable Isotope Labeling LC-TIMS-TOF MS/MS
07:12

Tracing de novo Lipids using Stable Isotope Labeling LC-TIMS-TOF MS/MS

Published on: August 23, 2024

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
09:38

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer

Published on: November 26, 2013

  • Assessed accuracy, detectivity, and reproducibility against established GC-MS techniques.

    • Main Results:

    • LC-MS FADE achieved an average R² value of 0.89 when compared to GC-MS FAME profiles, demonstrating high accuracy.
    • The new method exhibited superior detectivity and reproducibility in identifying FAs compared to GC-MS.
    • LC-MS FADE provided unique lipid class-specific FA insights not achievable with traditional GC-MS.

    Conclusions:

    • LC-MS FADE accurately extracts FA profiles from lipidomics data, offering enhanced insights and efficiency.
    • This method can be applied retrospectively to existing datasets, maximizing data utility.
    • LC-MS FADE is a valuable addition to lipidomic workflows for comprehensive FA analysis.