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Comprehensive polar metabolomics and lipidomics profiling discriminates the transformed from the non-transformed state in colon tissue and cell lines

Authors :
Lynn Vanhaecke
Margot De Spiegeleer
Lieven Van Meulebroek
Winnok H. De Vos
Caroline Rombouts
Source :
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021), Scientific Reports, Rombouts, C, De Spiegeleer, M, Van Meulebroek, L, Vanhaecke, L & De Vos, W H 2021, ' Comprehensive polar metabolomics and lipidomics profiling discriminates the transformed from the non-transformed state in colon tissue and cell lines ', Scientific Reports, vol. 11, pp. 17249 . https://doi.org/10.1038/s41598-021-96252-4, SCIENTIFIC REPORTS, Scientific reports
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Colorectal cancer (CRC) is the fourth most lethal disease worldwide. Despite an urgent need for therapeutic advance, selective target identification in a preclinical phase is hampered by molecular and metabolic variations between cellular models. To foster optimal model selection from a translational perspective, we performed untargeted ultra-high performance liquid chromatography coupled to high-resolution mass spectrometry-based polar metabolomics and lipidomics to non-transformed (CCD841-CON and FHC) and transformed (HCT116, HT29, Caco2, SW480 and SW948) colon cell lines as well as tissue samples from ten colorectal cancer patients. This unveiled metabolic signatures discriminating the transformed from the non-transformed state. Metabolites involved in glutaminolysis, tryptophan catabolism, pyrimidine, lipid and carnitine synthesis were elevated in transformed cells and cancerous tissue, whereas those involved in the glycerol-3-phosphate shuttle, urea cycle and redox reactions were lowered. The degree of glutaminolysis and lipid synthesis was specific to the colon cancer cell line at hand. Thus, our study exposed pathways that are specifically associated with the transformation state and revealed differences between colon cancer cell lines that should be considered when targeting cancer-associated pathways.

Details

ISSN :
20452322
Volume :
11
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....ad050945debf97dc8edb2a4cd2f09fba