Research Techniques Made Simple: Lipidomic Analysis in Skin Research

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

  • Michaela Sochorová - , Medical University of Vienna, Charles University Prague (Author)
  • Kateřina Vávrová - , Charles University Prague (Author)
  • Maria Fedorova - , Leipzig University (Author)
  • Zhixu Ni - , Leipzig University (Author)
  • Denise Slenter - , Maastricht University (Author)
  • Martina Kutmon - , Maastricht University (Author)
  • Egon L Willighagen - , Maastricht University (Author)
  • Sophia Letsiou - , University Medical Center (UMC) Utrecht (Author)
  • Daniel Töröcsik - , University of Debrecen (Author)
  • Martina Marchetti-Deschmann - , Medical University of Vienna, Vienna University of Technology, Austrian Cluster for Tissue Regeneration (Author)
  • Samuele Zoratto - , Medical University of Vienna, Vienna University of Technology, Austrian Cluster for Tissue Regeneration (Author)
  • Christopher Kremslehner - , Medical University of Vienna (Author)
  • Florian Gruber - , Medical University of Vienna (Author)

Abstract

Although lipids are crucial molecules for cell structure, metabolism, and signaling in most organs, they have additional specific functions in the skin. Lipids are required for the maintenance and regulation of the epidermal barrier, physical properties of the skin, and defense against microbes. Analysis of the lipidome-the totality of lipids-is of similar complexity to those of proteomics or other omics, with lipid structures ranging from simple, linear, to highly complex structures. In addition, the ordering and chemical modifications of lipids have consequences on their biological function, especially in the skin. Recent advances in analytic capability (usually with mass spectrometry), bioinformatic processing, and integration with other dermatological big data have allowed researchers to increasingly understand the roles of specific lipid species in skin biology. In this paper, we review the techniques used to analyze skin lipidomics and epilipidomics.

Details

Original languageEnglish
Pages (from-to)4-11.e1
Number of pages8
JournalJournal of investigative dermatology
Volume142
Issue number1
Publication statusPublished - Jan 2022
Peer-reviewedYes
Externally publishedYes

External IDs

Scopus 85120688893
PubMed 34924150

Keywords

Keywords

  • Animals, Big Data, Biomedical Research, Computational Biology, Epigenesis, Genetic, Humans, Lipid Metabolism, Lipidomics/methods, Mass Spectrometry, Skin/metabolism

Library keywords