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Introducing the Lipidomics Minimal Reporting Checklist

  • Jeffrey G. McDonald
  • , Christer S. Ejsing
  • , Dominik Kopczynski
  • , Michal Holčapek
  • , Junken Aoki
  • , Makoto Arita
  • , Masanori Arita
  • , Erin S. Baker
  • , Justine Bertrand-Michel
  • , John A. Bowden
  • , Britta Brügger
  • , Shane R. Ellis
  • , Maria Fedorova
  • , William J. Griffiths
  • , Xianlin Han
  • , Jürgen Hartler
  • , Nils Hoffmann
  • , Jeremy P. Koelmel
  • , Harald C. Köfeler
  • , Todd W. Mitchell
  • Valerie B. O’Donnell, Daisuke Saigusa, Dominik Schwudke, Andrej Shevchenko, Candice Z. Ulmer, Markus R. Wenk, Michael Witting, Denise Wolrab, Yu Xia, Robert Ahrends*, Gerhard Liebisch*, Kim Ekroos*
*Corresponding author for this work
  • University of Texas Southwestern Medical Center
  • University of Southern Denmark
  • European Molecular Biology Laboratory
  • University of Vienna
  • University of Pardubice
  • Tohoku University
  • The University of Tokyo
  • RIKEN
  • Research Organization of Information and Systems, National Institute of Genetics Mishima
  • North Carolina State University
  • Institut national de la santé et de la recherche médicale
  • University of Florida
  • Heidelberg University 
  • University of Wollongong
  • Illawarra Heath and Medical Research Institute
  • Technische Universität Dresden
  • Swansea University
  • University of Texas Health Science Center at San Antonio
  • University of Graz
  • Bielefeld University
  • Yale University
  • Medical University of Graz
  • Cardiff University
  • Research Center Borstel - Leibniz Lung Center
  • Partner Site Hamburg-Lübeck-Borstel-Riems
  • Max Planck Institute of Molecular Cell Biology and Genetics
  • US Department of Agriculture
  • National University of Singapore
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • Tsinghua University
  • University of Regensburg
  • Lipidomics Consulting Ltd.

Research output: Contribution to journalComment/debate

Abstract

The rapid increase in lipidomic data has triggered a community-based movement to develop guidelines and minimum requirements for generating, reporting and publishing lipidomic data. The creation of a dynamic checklist summarizing key details of lipidomic analyses using a common language has the potential to harmonize the field by improving both traceability and reproducibility.
Original languageEnglish
Pages (from-to)1086-1088
Number of pages3
JournalNature Metabolism
Volume4
Issue number9
DOIs
Publication statusPublished - Sept 2022
Externally publishedYes

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