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Oncolipidomics: Mass spectrometric quantitation of lipids in cancer research

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F19%3A39914783" target="_blank" >RIV/00216275:25310/19:39914783 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0165993619300937?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0165993619300937?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.trac.2019.04.012" target="_blank" >10.1016/j.trac.2019.04.012</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Oncolipidomics: Mass spectrometric quantitation of lipids in cancer research

  • Original language description

    This review summarizes available mass spectrometry (MS) based approaches for the quantitative analysis of lipids in biological samples in the cancer research, which is termed here as oncolipidomics. The methodological part shows possible configurations of stand-alone MS or MS coupled to liquid-phase separation techniques. For the characterization of various lipids with the special emphasis on methods convenient for robust high-throughput lipidomic quantitation of biological samples, such as body fluids, tissues, and cell lines. The critical assessment of lipid species dysregulated in various cancer types is provided with the goal to summarize and generalize the typical up and down regulated lipids associated with the progress of tumor growth and evaluate possible future use of lipidomic analysis in the early cancer diagnosis.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

    <a href="/en/project/GA18-12204S" target="_blank" >GA18-12204S: Characterization of human lipidome and metabolome for personalized healthcare and biomarker discovery: case study of kidney cancer</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    TrAC - Trends in Analytical Chemistry

  • ISSN

    0165-9936

  • e-ISSN

  • Volume of the periodical

    120

  • Issue of the periodical within the volume

    November

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    15

  • Pages from-to

    115480-115494

  • UT code for WoS article

    000501783700026

  • EID of the result in the Scopus database