Lipidomic Characterization of Tumor Tissues Using LC/MS, SFC/MS, MALDI-MS and Multivariate Data Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F14%3A39899342" target="_blank" >RIV/00216275:25310/14:39899342 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Lipidomic Characterization of Tumor Tissues Using LC/MS, SFC/MS, MALDI-MS and Multivariate Data Analysis
Original language description
Results Comprehensive lipidomic analyses of tumor tissues and surrounding normal tissues from several clinical trials (breast, kidney and lung cancer) were performed using optimized HILIC-HPLC/ESI-MS, SFC/MS, MALDI-Orbitrap MS methods. Individual lipid classes were quantified based on the addition of single IS and response factors for each class related to the IS. Statistically significant differences in average concentrations were observed several classes of polar lipids (PI, PE, LPE, SM, LPC, etc.). Detailed analysis of lipid species inside above mentioned classes was performed using relative abundances of deprotonated molecules in the negative-ion ESI mode or protonated molecules in the positive-ion ESI mode followed by MS/MS experiments. Multivariate data analysis using orthogonal 2 projections of latent structures (O2PLS) enables a clear differentiation of tumor and normal tissues based on changes of their lipidome. Conclusions The statistically significant lipidomic differences w
Czech name
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Czech description
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Project
<a href="/en/project/LL1302" target="_blank" >LL1302: Mass Spectrometry in Cancer Research: Lipid Biomarkers for Early Diagnostics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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