Cellular-level lipidomics of two-dimensional cultures of adherent gut epithelial cell lines reveals a metabolic switch

Abstract

In vitro cell models of the gut epithelium, particularly those based on the Caco-2 and HT29-MTX cell lines, play an important role in studying the uptake and metabolism of nutrients and pharmaceuticals. Previous studies using mass spectrometry imaging have shown a distinctive lipidome signature for these cells, alone and in coculture, although only limited information on lipid identities was obtained. A novel method employing limited proteolysis for sampling live, adherent cells using an automated capillary extraction workflow was developed which achieved single-cell sampling of Caco-2 cells although only clusters of HT29-MTX cells could be sampled due to mucus secreted by these cells. The lipidomes of the cell samples were mapped using LC-MS/MS and approximately 150 lipids were putatively identified. Further analysis of these data confirmed the distinctiveness of the Caco-2 and HT29-MTX cell lipidomes. Cell-to-cell heterogeneity was observed, especially in the Caco-2 cells, which may be indicative of variation in their differentiation state. Metabolic pathway analysis showed the distinctive lipidome of Caco-2 cells related to increased glycerol-3-phosphate pathway activity involved in di- and tri- glyceride synthesis. In contrast, HT29-MTX cells exhibited a more active phosphatidylcholine metabolism, related to their mucus-secreting capability. Future studies will explore wider application of the sampling procedure outlined here for single cell lipidomics of other adherent cell lines.

Supplementary files

Article information

Article type
Paper
Submitted
08 Nov 2025
Accepted
20 Apr 2026
First published
27 Apr 2026
This article is Open Access
Creative Commons BY license

Analyst, 2026, Accepted Manuscript

Cellular-level lipidomics of two-dimensional cultures of adherent gut epithelial cell lines reveals a metabolic switch

Q. Xu, J. Penny, E. Fraser, F. Orsenigo, M. Barberis, L. A. Gethings, M. J. Bailey and C. Mills, Analyst, 2026, Accepted Manuscript , DOI: 10.1039/D5AN01183C

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