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New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity

  • Robert Ahrends
  • , Erin S. Baker
  • , Kim Ekroos
  • , Shane R. Ellis (Corresponding author)

Publications: Contribution to journalReviewPeer Reviewed

Abstract

The rapid and continued development of mass spectrometry-based technologies has significantly increased the capability to study and characterize lipids while providing new insight into the complex roles of lipids throughout biology. These capabilities have included the ability to quantify, structurally characterize (including resolving isomers that pose significant challenges to lipidomics), and spatially map lipids within numerous complex organisms, revealing new capabilities in emerging areas such as single-cell analysis. With these rapid developments, several challenges have emerged, such as accurate lipid identification, incorrect and overinterpretation of mass spectrometry data and structural assignments, and the need for improved analytical and bioinformatics tools to understand lipidomics data at the pathway and systems levels. This review critically assesses analytical technologies used for lipidomics studies, along with current challenges and technological developments driving the field forward. By highlighting these challenges, and possible avenues to address them, this review emphasizes the excitement for the future of lipidomics and the need for continued development of analytical tools to enhance our understanding of lipid biology.

Original languageEnglish
Pages (from-to)49-74
Number of pages26
JournalAnnual review of analytical chemistry
Volume19
Issue number1
DOIs
Publication statusPublished - 1 May 2026

Funding

This work was supported by grants from the Österreichischer Wissenschaftsfonds (FWF; Austrian Science Fund, projects FW523003 and I6303), the US National Institute of General Medical Sciences (R01 GM141277, RM1 GM145416), and the US National Science Foundation (2419127). S.R.E. acknowledges financial support from the Australian Research Council (FT190100082). We are grateful to Prof. Yu Xia (Tsinghua University) and Prof. Gavin Reid (University of Melbourne) for providing raw data and fruitful discussions around data shown in. We are grateful to Nina Troppmair and Prof. James Dodds (University of North Carolina at Chapel Hill) for support in the figure layout.

FundersFunder number
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)FW523003, I6303
National Institutes of Health (NIH)R01 GM141277, RM1 GM145416
National Science Foundation2419127

Austrian Fields of Science 2012

  • 104002 Analytical chemistry
  • 104026 Spectroscopy

Keywords

  • bioinformatics
  • ion mobility
  • isomers
  • lipidomics
  • mass spectrometry
  • mass spectrometry imaging
  • single cell analysis

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