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Correlation of lipidomic composition of cell lines and tissues of breast cancer patients using hydrophilic interaction liquid chromatography/electrospray ionization mass spectrometry and multivariate data analysis

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dc.title Correlation of lipidomic composition of cell lines and tissues of breast cancer patients using hydrophilic interaction liquid chromatography/electrospray ionization mass spectrometry and multivariate data analysis en
dc.contributor.author Cífková, Eva
dc.contributor.author Lísa, Miroslav
dc.contributor.author Hrstka, Roman
dc.contributor.author Vrána, David
dc.contributor.author Gatěk, Jiří
dc.contributor.author Melichar, Bohuslav
dc.contributor.author Holčapek, Michal
dc.relation.ispartof Rapid Communications in Mass Spectrometry
dc.identifier.issn 0951-4198 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2017
utb.relation.volume 31
utb.relation.issue 3
dc.citation.spage 253
dc.citation.epage 263
dc.type article
dc.language.iso en
dc.publisher John Wiley & Sons, Ltd.
dc.identifier.doi 10.1002/rcm.7791
dc.relation.uri http://onlinelibrary.wiley.com/doi/10.1002/rcm.7791/abstract;jsessionid=336D0D6195465D0B08C41FAB216195CB.f01t04
dc.description.abstract Rationale: The goal of this work is the comparison of differences in the lipidomic compositions of human cell lines derived from normal and cancerous breast tissues, and tumor vs. normal tissues obtained after the surgery of breast cancer patients. Methods: Hydrophilic interaction liquid chromatography/electrospray ionization mass spectrometry (HILIC/ESI-MS) using the single internal standard approach and response factors is used for the determination of relative abundances of individual lipid species from five lipid classes in total lipid extracts of cell lines and tissues. The supplementary information on the fatty acyl composition is obtained by gas chromatography/mass spectrometry (GC/MS) of fatty acid methyl esters. Multivariate data analysis (MDA) methods, such as nonsupervised principal component analysis (PCA), hierarchical clustering analysis (HCA) and supervised orthogonal partial least-squares discriminant analysis (OPLS-DA), are used for the visualization of differences between normal and tumor samples and the correlation of similarity between cell lines and tissues either for tumor or normal samples. Results: MDA methods are used for differentiation of sample groups and also for identification of the most up- and downregulated lipids in tumor samples in comparison to normal samples. Observed changes are subsequently generalized and correlated with data from tumor and normal tissues of breast cancer patients. In total, 123 lipid species are identified based on their retention behavior in HILIC and observed ions in ESI mass spectra, and relative abundances are determined. Conclusions: MDA methods are applied for a clear differentiation between tumor and normal samples both for cell lines and tissues. The most upregulated lipids are phospholipids (PL) with a low degree of unsaturation (e.g., 32:1 and 34:1) and also some highly polyunsaturated PL (e.g., 40:6), while the most downregulated lipids are PL containing polyunsaturated fatty acyls (e.g., 20:4), plasmalogens and ether lipids. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd. en
utb.faculty Faculty of Humanities
dc.identifier.uri http://hdl.handle.net/10563/1006901
utb.identifier.obdid 43875405
utb.identifier.scopus 2-s2.0-85010300662
utb.identifier.wok 000394511000003
utb.identifier.pubmed 27862481
utb.identifier.coden RCMSE
utb.source j-scopus
dc.date.accessioned 2017-06-27T08:13:11Z
dc.date.available 2017-06-27T08:13:11Z
dc.description.sponsorship ERC CZ grant - Ministry of Education, Youth and Sports of the Czech Republic [LL1302]; MH CZ - DRO (MMCI) [00209805]; [MEYS - NPS I - LO1413]
utb.contributor.internalauthor Gatěk, Jiří
utb.fulltext.affiliation Eva Cífková 1 , Miroslav Lísa 1 , Roman Hrstka 2 , David Vrána 3 , Jiří Gatěk 4 , Bohuslav Melichar 3 and Michal Holčapek 1 * 1 University of Pardubice, Faculty of Chemical Technology, Department of Analytical Chemistry, Studentská 573, 53210 Pardubice, Czech Republic 2 Masaryk Memorial Cancer Institute, Regional Centre for Applied Molecular Oncology, Žlutý kopec 7, 65653 Brno, Czech Republic 3 Palacký University, Medical School and Teaching Hospital, Department of Oncology, I.P.Pavlova 6, 77520 Olomouc, Czech Republic 4 Tomáš Baťa University in Zlín, Atlas Hospital, Department of Surgery, nám T. G. Masaryka 5555, 76001 Zlín, Czech Republic
utb.fulltext.dates Received: 13 September 2016 Revised: 6 November 2016 Accepted: 9 November 2016
utb.fulltext.sponsorship This work was supported by the ERC CZ grant project LL1302 sponsored by the Ministry of Education, Youth and Sports of the Czech Republic. R.H. acknowledges the support of MEYS – NPS I – LO1413 and MH CZ - DRO (MMCI, 00209805) projects. The help of Blanka Červená and Magdaléna Ovčačíková (University of Pardubice) with the sample extraction is acknowledged.
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