Transient state microscopy probes patterns of altered oxygen consumption in cancer cells
2014 (English)In: The FEBS Journal, ISSN 1742-464X, E-ISSN 1742-4658, Vol. 281, no 5, 1317-1332 p.Article in journal (Refereed) Published
Altered cellular metabolism plays an important role in many diseases, not least in many forms of cancer, where cellular metabolic pathways requiring lower oxygen consumption are often favored (the so-called Warburg effect). In this work, we have applied fluorescence-based transient state imaging and have exploited the environment sensitivity of long-lived dark states of fluorophores, in particular triplet state decay rates, to image the oxygen consumption of living cells. Our measurements can resolve differences in oxygen concentrations between different regions of individual cells, between different cell types, and also based on what metabolic pathways the cells use. In MCF-7 breast cancer cells, higher oxygen consumption can be detected when they rely on glutamine instead of glucose as their main metabolite, predominantly undergoing oxidative phosphorylation rather than glycolysis. By use of the high triplet yield dye Eosin Y the irradiance requirements during the measurements can be kept low. This reduces the instrumentation requirements, and harmful biological effects from high excitation doses can be avoided. Taken together, our imaging approach is widely applicable and capable of detecting subtle changes in oxygen consumption in live cells, stemming from the Warburg effect or reflecting other differences in the cellular metabolism. This may lead to new diagnostic means as well as advance our understanding of the interplay between cellular metabolism and major disease categories, such as cancer.
Place, publisher, year, edition, pages
2014. Vol. 281, no 5, 1317-1332 p.
cancer, fluorescence microscopy, metabolism, oxygen, triplet state
Physical Sciences Biophysics
IdentifiersURN: urn:nbn:se:kth:diva-146167DOI: 10.1111/febs.12709ISI: 000332083600001PubMedID: 24418170ScopusID: 2-s2.0-84895457708OAI: oai:DiVA.org:kth-146167DiVA: diva2:722563
FunderEU, FP7, Seventh Framework Programme, 201 837Swedish Research Council, VR-NT 2012-3045
QC 201406122014-06-092014-06-092016-03-11Bibliographically approved