Int. J. Mol. Sci. 2013, 14(12), 24560-24580; doi:10.3390/ijms141224560
Towards Lipidomics of Low-Abundant Species for Exploring Tumor Heterogeneity Guided by High-Resolution Mass Spectrometry Imaging
Jonathan Cimino 1,2,†, David Calligaris 1,3,†,*
, Johann Far 1, Delphine Debois 1, Silvia Blacher 2, Nor Eddine Sounni 2, Agnès Noel 2 and Edwin De Pauw 1,*
1
Mass Spectrometry Laboratory, GIGA-R, Department of Chemistry, University of Liege, Liege 4000, Belgium
2
Laboratory of Tumor and Development Biology, GIGA-Cancer, University of Liege, Liege 4000, Belgium
3
Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
†
These authors contributed equally to this work.
*
Authors to whom correspondence should be addressed.
Received: 17 October 2013 / Revised: 25 November 2013 / Accepted: 26 November 2013 / Published: 17 December 2013
(This article belongs to the Special Issue Fourier Transform Mass Spectrometry in Molecular Sciences)
Abstract
Many studies have evidenced the main role of lipids in physiological and also pathological processes such as cancer, diabetes or neurodegenerative diseases. The identification and the in situ localization of specific low-abundant lipid species involved in cancer biology are still challenging for both fundamental studies and lipid marker discovery. In this paper, we report the identification and the localization of specific isobaric minor phospholipids in human breast cancer xenografts by FTICR MALDI imaging supported by histochemistry. These potential candidates can be further confirmed by liquid chromatography coupled with electrospray mass spectrometry (LC-ESI-MS) after extraction from the region of interest defined by MALDI imaging. Finally, this study highlights the importance of characterizing the heterogeneous distribution of low-abundant lipid species, relevant in complex histological samples for biological purposes. View Full-TextKeywords:
MALDI mass spectrometry imaging; FTICR mass spectrometry; lipidomics; hypoxia; necrosis; cancer
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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MDPI and ACS Style
Cimino, J.; Calligaris, D.; Far, J.; Debois, D.; Blacher, S.; Sounni, N.E.; Noel, A.; De Pauw, E. Towards Lipidomics of Low-Abundant Species for Exploring Tumor Heterogeneity Guided by High-Resolution Mass Spectrometry Imaging. Int. J. Mol. Sci. 2013, 14, 24560-24580.
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