Literature DB >> 15194444

The infrared spectrum of human glioma cells is related to their in vitro and in vivo behavior.

A Gaigneaux1, C Decaestecker, I Camby, T Mijatovic, R Kiss, J M Ruysschaert, E Goormaghtigh.   

Abstract

The present research investigates whether infrared spectra can be related to the biological characteristics of glioma cell lines. We used nine human glioma cell lines for which a series of in vitro and in vivo biological features had already been established [Glia 36 (2001) 375] and were able to show that their characteristic infrared spectra reflect their in vitro migration (i.e., motility and invasiveness) properties and their in vivo aggressiveness. More particularly, the infrared data evidenced correlations at the level of the lipid/protein ratio. These relationships were found to be tissue-dependent when controlled on seven pancreatic carcinoma cell lines. We also showed that oligodendroglial and astrocytic tumor cells, whose identification remains difficult, can easily be identified by their infrared spectra in the lipid acyl chain region as well as in the nucleic acid region. We concluded that infrared spectroscopy could usefully complement information provided by more conventional diagnostic and prognostic (e.g., morphological and molecular) approaches.

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Year:  2004        PMID: 15194444     DOI: 10.1016/j.yexcr.2004.03.031

Source DB:  PubMed          Journal:  Exp Cell Res        ISSN: 0014-4827            Impact factor:   3.905


  2 in total

1.  Soft threshold partial least squares predicts the survival fraction of malignant glioma cells against different concentrations of methotrexate's derivatives.

Authors:  Tahir Mehmood; Mudassir Iqbal
Journal:  Sci Rep       Date:  2021-09-21       Impact factor: 4.379

2.  ATR-FTIR spectroscopy reveals genomic loci regulating the tissue response in high fat diet fed BXD recombinant inbred mouse strains.

Authors:  Ayca Dogan; Peter Lasch; Christina Neuschl; Marion K Millrose; Rudi Alberts; Klaus Schughart; Dieter Naumann; Gudrun A Brockmann
Journal:  BMC Genomics       Date:  2013-06-10       Impact factor: 3.969

  2 in total

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