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    SR-FTIR spectroscopy of renal epithelial carcinoma side population cells displaying stem cell-like characteristics.

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    Authors
    Hughes, C
    Liew, M
    Sachdeva, A
    Bassan, P
    Dumas, P
    Hart, Claire A
    Brown, Michael D
    Clarke, Noel W
    Gardner, Peter
    Affiliation
    Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, UK M1 7DN.
    Issue Date
    2010-12
    
    Metadata
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    Abstract
    It is hypothesized that cells with stem cell-like properties may be influential in carcinogenesis, possessing the ability to self-renew, produce differentiated daughter cells and resist environmental or therapeutic injury. This has led to a surge in interest in identifying and characterizing the tumour initiating or cancer stem cell (CSC) with the aim of discovering novel diagnostic and prognostic markers and of understanding the basic biology with the ultimate aim of generating new therapeutic approaches and biomarkers. However, a major hurdle to this process has been the lack of a truly specific cancer stem cell biomarker allied to the rarity of these cells. This has led to problems in characterising these CSCs by traditional '-omic' techniques. Using a renal carcinoma cell line model, we show that synchrotron radiation-Fourier transform infrared (SR-FTIR) spectroscopy is a suitable tool to measure discrete differences in the biochemistry of small numbers of single-cells. Using the chemometric techniques of Principal Component and Linear Discriminant Analysis (PCA and LDA) for multivariate reduction, biochemical differences between the cells from different sub-populations were evaluated. Results found lipid and phosphodiester vibrations to be particularly good discriminating markers in the spectra of these stem-like cells, relative to the more differentiated, proliferating cells that make up the majority of the cell population.
    Citation
    SR-FTIR spectroscopy of renal epithelial carcinoma side population cells displaying stem cell-like characteristics. 2010, 135 (12):3133-41 Analyst
    Journal
    The Analyst
    URI
    http://hdl.handle.net/10541/120148
    DOI
    10.1039/c0an00574f
    PubMed ID
    20981365
    Type
    Article
    Language
    en
    ISSN
    1364-5528
    ae974a485f413a2113503eed53cd6c53
    10.1039/c0an00574f
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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