Introduction of a lipidomics scoring system for data quality assessment

  • Nils Hoffmann
  • , Robert Ahrends
  • , Erin S. Baker
  • , Kim Ekroos
  • , Xianlin Han
  • , Michal Holčapek
  • , Gerhard Liebisch
  • , Markus R. Wenk
  • , Yu Xia
  • , Harald C. Köfeler*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

The scientific field of lipidomics has shown a constantly growing publication number in recent years, which is accompanied by an increasing need for quality standards. While the official shorthand nomenclature of lipids is a first and important step toward a reporting quality tool, an additional point score would reflect the quality of reported data at an even more detailed granularity. Thus, we propose a lipidomics scoring scheme that considers all the different layers of analytical information to be obtained by mass spectrometry, chromatography, and ion mobility spectrometry and awards scoring points for each of them. Furthermore, the scoring scheme is integrated with the annotation levels as proposed by the official shorthand nomenclature, with a point score, which roughly correlates with the annotated compound details. The merit of such a scoring system is the fact that it abstracts evidence for structural information into a number, which gives even the nonlipidomics expert an idea about the reporting, and by extension, data quality at first glance. Additionally, it could serve as an aid for internal quality control and for data quality assessment in the peer review process.

Original languageEnglish
Article number100817
JournalJournal of Lipid Research
Volume66
Issue number8
DOIs
Publication statusPublished - 29 Apr 2025

Keywords

  • chromatography
  • glycerophospholipids
  • lipidomics
  • lipids
  • mass spectrometry
  • sphingolipids
  • sterols

Fingerprint

Dive into the research topics of 'Introduction of a lipidomics scoring system for data quality assessment'. Together they form a unique fingerprint.

Cite this