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CANCER STEM CELLS AND
ONCOLOGY RESEARCH
11
th
International Conference on
Journal of Medical Oncology and Therapeutics
|
Volume 3
S Saada et al., J Med Oncl Ther 2018, Volume 3
DISCRIMINATION OF GLIOBLASTOMA
CANCER STEM LIKE CELLS BY UHF-
DIELECTROPHORESIS CROSSOVER
FREQUENCY
S Saada
1
, B Bessette
1
, R Manczak
2
, G Begaud
1
, C Dalmay
2
, S
Battu
1
, P Blondy
2
, M Inac
3
, C Baristiran Kaynak
3
, M Kaynak
3
,
C Palego
4
, M O Jauberteau
1
, A Pothier
2
and
F Lalloue
1
1
University of Limoges, France
2
IHP Microelectronics, Germany
3
Bangor University, United Kingdom
C
SCs appear as major biological and therapeutic targets, in particular
for GBM. Heterogeneity of tumor cell population, leads to optimize
characterization and sorting methods. It is actually based on the target
of a set of biological markers, which are efficiently used to validate
the stemness lineament. Besides the biological properties, physical
characteristics of CSCs are expected to be a potential way to discriminate
and sort CSC populations. These data summarize first’s results
glioblastoma cell lines’ characterization; measuring their crossover
frequencies by dielectrophoresis (DEP) technics in the UHF frequency
range (above 50 MHz). LN18 line cell was cultured following different
conditions, in order to achieve an enrichment of cancer stem cells (CSCs).
Based on DEP electrokinetic method, CSCs were discriminated the from
the differentiated cells. In this study, microfluidic lab-on-chip systems
implemented on Bipolar-Complementary Oxide Semiconductor (BiCMOS)
technology is used allowing single cell handling and analysis. Based
on measurements of their own intracellular specificities, the enriched
CSCs population, cultured in dedicated define medium, have shown
clear differences of DEP crossover frequency signatures compared to
differentiated cells cultured in normal medium. That demonstrates the
concept and validates the technique efficiency for CSC discrimination in
glioblastoma.
S Saada is currently working at the Université de
Limoges, Faculté de Médecine, France.
sofiane.saada@unilim.frBIOGRAPHY