The hitchhiker’s guide to untargeted lipidomics analysis: Practical guidelines

Dmitrii Smirnov, Pavel Mazin, Maria Osetrova, Elena Stekolshchikova, Ekaterina Khrameeva

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Lipidomics is a newly emerged discipline involving the identification and quantification of thousands of lipids. As a part of the omics field, lipidomics has shown rapid growth both in the number of studies and in the size of lipidome datasets, thus, requiring specific and efficient data analysis approaches. This paper aims to provide guidelines for analyzing and interpreting lipidome data obtained using untargeted methods that rely on liquid chromatography coupled with mass spectrometry (LC-MS) to detect and measure the intensities of lipid compounds. We present a state-of-the-art untargeted LC-MS workflow for lipidomics, from study design to annotation of lipid features, focusing on practical, rather than theoretical, approaches for data analysis, and we outline possible applications of untargeted lipidomics for biological studies. We provide a detailed R notebook designed specifically for untargeted lipidome LC-MS data analysis, which is based on xcms software.

Original languageEnglish
Article number713
Issue number11
StatePublished - 1 Oct 2021


  • Bioinformatics
  • LC-MS
  • Lipidome

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Molecular Biology


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