Direct detection of omega-3 and omega-6 fatty acid incorporation into cells by surface analysis using water cluster secondary ion mass spectrometry imaging

Water cluster ion beam secondary ion mass spectrometry (SIMS) was used to investigate the fate of essential fatty acids (linoleic acid, LA, and alpha-linolenic acid, ALA) in hormone-receptive (MCF7) and triple-negative (MDA-MB-231) breast cancer cell lines and MCF7 spheroids. SIMS has historically produced low yields of intact lipid signal. However, here, a water gas cluster ion beam (GCIB), that significantly enhances intact ion detection compared to conventional atomic/small cluster ions, was used. In addition to increased molecular signals, the water GCIB produces fragment ions with ratios related to positional isomerism of glycerophospholipids that provided additional direct insights into membrane chemistry. The results show that both cell lines take up both fatty acids and that this uptake leads to an apparent replacement of one fatty acid chain on the different lipids in the cells predominantly in the sn-2 position. The appearance of polyunsaturated triacylglycerides signals indicated that PUFA availability was not the limiting factor here. SIMS imaging of spheroids exposed to the LA and ALA fatty acids showed similar changes in the lipid profile localized to a region of approximately 50-100 µm around the edge of the spheroid.

Authors

Institutions

Publication Details

Journal
Analytical and Bioanalytical Chemistry
Published
2026-11-09
DOI
https://doi.org/10.1007/s00216-026-06912-5
Primary Topic
Ion-surface interactions and analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Direct detection of omega-3 and omega-6 fatty acid incorporation into cells by surface analysis using water cluster secondary ion mass spectrometry imaging

María del Carmen Leiva Arrabal, Kelly Dimovska Nilsson, John S. Fletcher, Simon Uzoni et al.
Analytical and Bioanalytical Chemistry
Ion-surface interactions and analysis
article

Direct detection of omega-3 and omega-6 fatty acid incorporation into cells by surface analysis using water cluster secondary ion mass spectrometry imaging

María del Carmen Leiva Arrabal, Kelly Dimovska Nilsson, John S. Fletcher, Simon Uzoni, Göran Landberg
article en

Abstract

Water cluster ion beam secondary ion mass spectrometry (SIMS) was used to investigate the fate of essential fatty acids (linoleic acid, LA, and alpha-linolenic acid, ALA) in hormone-receptive (MCF7) and triple-negative (MDA-MB-231) breast cancer cell lines and MCF7 spheroids. SIMS has historically produced low yields of intact lipid signal. However, here, a water gas cluster ion beam (GCIB), that significantly enhances intact ion detection compared to conventional atomic/small cluster ions, was used. In addition to increased molecular signals, the water GCIB produces fragment ions with ratios related to positional isomerism of glycerophospholipids that provided additional direct insights into membrane chemistry. The results show that both cell lines take up both fatty acids and that this uptake leads to an apparent replacement of one fatty acid chain on the different lipids in the cells predominantly in the sn-2 position. The appearance of polyunsaturated triacylglycerides signals indicated that PUFA availability was not the limiting factor here. SIMS imaging of spheroids exposed to the LA and ALA fatty acids showed similar changes in the lipid profile localized to a region of approximately 50-100 µm around the edge of the spheroid.

Analytical and Bioanalytical Chemistry
Sahlgrenska University Hospital (SE), University of Gothenburg (SE)
Swedish Cancer Foundation, Vetenskapsrådet, Göteborgs Universitet
Ion-surface interactions and analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon