Next Article in Journal
NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules
Previous Article in Journal
Putative Mechanisms Underlying High Inhibitory Activities of Bimodular DNA Aptamers to Thrombin
Previous Article in Special Issue
Cord-Blood Lipidome in Progression to Islet Autoimmunity and Type 1 Diabetes
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Biomolecules 2019, 9(2), 42; https://doi.org/10.3390/biom9020042

High-Throughput Screening of Lipidomic Adaptations in Cultured Cells

1
Membrane Enzymology, Groningen Biomolecular and Biotechnology Institute (GBB), University of Groningen, 9747AG Groningen, The Netherlands
2
Department of Biochemistry and Cell Biology, Faculty of Veterinary Medicine, Utrecht University, 3584CM Utrecht, The Netherlands
*
Author to whom correspondence should be addressed.
Received: 23 November 2018 / Revised: 18 January 2019 / Accepted: 21 January 2019 / Published: 24 January 2019
(This article belongs to the Special Issue Lipidomics)
Full-Text   |   PDF [2579 KB, uploaded 24 January 2019]   |  

Abstract

High-throughput screening of biologically active substances in cell cultures remains challenging despite great progress in contemporary lipidomic techniques. These experiments generate large amounts of data that are translated into lipid fingerprints. The subsequent visualization of lipidomic changes is key to meaningful interpretation of experimental results. As a demonstration of a rapid and versatile pipeline for lipidomic analysis, we cultured HeLa cells in 96-well format for four days in the presence or absence of various inhibitors of lipid metabolic pathways. Visualization of the data by principle component analysis revealed a high reproducibility of the method, as well as drug specific changes to the lipidome. Construction of heatmaps and networks revealed the similarities and differences between the effects of different drugs at the lipid species level. Clusters of related lipid species that might represent distinct membrane domains emerged after correlation analysis of the complete dataset. Taken together, we present a lipidomic platform for high-throughput lipidomic analysis of cultured cell lines. View Full-Text
Keywords: lipidomics; autophagy; fatty acid synthase; high-throughput; phospholipids; lipid metabolism lipidomics; autophagy; fatty acid synthase; high-throughput; phospholipids; lipid metabolism
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Jeucken, A.; Brouwers, J.F. High-Throughput Screening of Lipidomic Adaptations in Cultured Cells. Biomolecules 2019, 9, 42.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Biomolecules EISSN 2218-273X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top