Lipidomic differentiation between human kidney tumors and surrounding normal tissues using HILIC-HPLC/ESI–MS and multivariate data analysis

Cífková, Eva; Holčapek, Michal; Lísa, Miroslav; Vrána, David; Melichar, Bohuslav; Študent, Vladimír

doi:10.1016/j.jchromb.2015.07.011

Cited by 59 publications

(32 citation statements)

References 25 publications

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“…Although its performance has greatly improved over other HILIC-based lipid separations, its capability in complete separation of phospholipid classes is less desirable compared with a normal phase column, where no co-elution was achieved using a Chromolith–HPLC–ESI–MS [32]. Another disadvantage of using HILIC is that most of the methods in the literature are not applicable for the quantification of nonpolar lipid classes due to their elution in the void volume [33]. …”

Section: Resultsmentioning

confidence: 99%

Comprehensive untargeted lipidomic analysis using core–shell C30 particle column and high field orbitrap mass spectrometer

Narváez-Rivas

Zhang

2016

Journal of Chromatography A

128

102

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The goal of untargeted lipidomics is to have high throughput, yet comprehensive and unambiguous identification and quantification of lipids. Novel stationary phases in LC separation and new mass spectrometric instruments capable of high mass resolving power and faster scanning rate are essential to achieving this goal. In this work, 4 reversed phase LC columns coupled with a high field quadrupole orbitrap mass spectrometer (Q Exactive HF) were thoroughly compared using complex lipid standard mixture and rat plasma and liver samples. A good separation of all lipids was achieved in 24 min of gradient. The columns compared include C30 and C18 functionalization on either core–shell or totally porous silica particles, with size ranging from 1.7 to 2.6 μm. Accucore C30 column showed the narrowest peaks and highest theoretical plate number, and excellent peak capacity and retention time reproducibility (<1% standard deviation). As a result, it resulted in 430 lipid species identified from rat plasma and rat liver samples with highest confidence. The high resolution offered by the up-front RPLC allowed discrimination of cis/trans isomeric lipid species, and the high field orbitrap mass spectrometer afforded the clear distinction of isobaric lipid species in full scan MS and the unambiguous assignment of sn-positional isomers for lysophospholipids in MS/MS. Taken together, the high efficiency LC separation and high mass resolving MS analysis are very promising tools for untargeted lipidomics analysis.

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Section: Resultsmentioning

confidence: 99%

Comprehensive untargeted lipidomic analysis using core–shell C30 particle column and high field orbitrap mass spectrometer

Narváez-Rivas

Zhang

2016

Journal of Chromatography A

128

102

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“…A quantitative approach for the lipidomic characterization of breast cancer tissues compared with surrounding normal tissues using HILIC-HPLC/ESI-MS was performed by Cifkova et al [55]. In this study, the lipid class quantitation showed differences in lipidome of tumor and normal tissues: levels of PI, PE, PC, SM and LPC were significantly higher in tumor tissues than in healthy controls; PLs with the general formula C34:1 (mainly combination of C16:0 and C18:1) led to the association with tumor tissues for several lipid classes.…”

Section: Lipidomics In Cancer Researchmentioning

confidence: 99%

Advances in Lipidomics for Cancer Biomarkers Discovery

Perrotti

Rosa

Cicalini

et al. 2016

IJMS

155

119

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Lipids play critical functions in cellular survival, proliferation, interaction and death, since they are involved in chemical-energy storage, cellular signaling, cell membranes, and cell–cell interactions. These cellular processes are strongly related to carcinogenesis pathways, particularly to transformation, progression, and metastasis, suggesting the bioactive lipids are mediators of a number of oncogenic processes. The current review gives a synopsis of a lipidomic approach in tumor characterization; we provide an overview on potential lipid biomarkers in the oncology field and on the principal lipidomic methodologies applied. The novel lipidomic biomarkers are reviewed in an effort to underline their role in diagnosis, in prognostic characterization and in prediction of therapeutic outcomes. A lipidomic investigation through mass spectrometry highlights new insights on molecular mechanisms underlying cancer disease. This new understanding will promote clinical applications in drug discovery and personalized therapy.

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“…PG analysis using MS/MS therefore requires prior separation by liquid chromatography, that can be achieved with hydrophobicity-based separation (chain length and unsaturation) using reversed-phase LC columns (5) or polarity-based separation depending on M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT headgroup using normal phase columns (4). The latter chromatography uses however hazardous apolar solvents such as chloroform or hexane and tends to get replaced by hydrophilic interaction chromatography (HILIC), which allows a normal-phase type separation using reversed-phase type solvents at a relatively fast speed with the development of core-shell technology (6). PG lipids are either analysed in positive ESI-MS/MS mode using the specific polar headgroup neutral loss m/z189 (ammonium adduct of the glycerophosphate moiety) or in the complementary negative ESI-MS/MS mode using the headgroup product ion scan (mz 153) or the fatty acyl chains product ion scan.…”

Section: General Principles In Pgs Distribution and Abundancementioning

confidence: 99%